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item list element: Time Series Modelling and Forecasting using Stata
item list element: Call for Expressions of Interest Tenure-Track Assistant Professor (RTT) in Economics, Management, and Statistics
item list element: Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
item list element: Part-time Faculty, Economics – Lariccia School of Accounting & Finance – Online Courses
item list element: EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
item list element: CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
item list element: Up and Running in Stata - Live Online Training
item list element: GTAPinR Course
item list element: Non-resident full-time faculty position: Assistant, Associate, or Full Professor in Sustainability and Green Economy
item list element: Positive Science – Economics Best Paper Award 2026: $4,000 Prize Fund for Published Articles
item list element: Econometrics with EViews: Time Series, and Panel Data
item list element: Postdoctoral Associate in Economics
item list element: Microeconomics: The Power of Markets (Online Course)
item list element: Macroeconomics of Business Dynamism
item list element: Python and Statistics for Financial Analysis
item list element: MOE START Scheme (Early Career Awards) - Business, Communication and Design
item list element: Game Theory II: Advanced Applications
item list element: Introduction to Sustainable Finance (Online Course)
item list element: (Oxford) Diploma : Macroeconomics/Behavioural Economics
item list element: Publish A Summary of Your Economics Research on INOMICS
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Time Series Modelling and Forecasting using Stata
type: Course
title: Time Series Modelling and Forecasting using Stata
description: COURSE DESCRIPTION Time Series data is today available for a wide range of several phenomena in Business, Finance, Economics, Public Health, the Political and Social Sciences. The aim of TStat Training’s Times Series Modelling and Forecasting Course is therefore, to provide researchers and professionals with the standard tool kit required for the analysis of time series data in Stata. As such the program has been developed to offer an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. The course begins with an introduction to Stata’s basic time series commands, before moving onto the analysis of time series features and to univariate time series models. Sessions 3 and 4 instead focus on the estimation of both multivariate time series models with stationary and nonstationary data and univariate models of volatility. In common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises undertaken in Stata, during which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. Particular attention is also given to both the interpretation and presentation of empirical results. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. Upon completion, it is expected that participants are able to autonomously implement the statistical methods discussed during the course to their own data, customizing when necessary, the Stata do-file routines specifically developed for the course. TARGET AUDIENCE Researchers and professionals working in financial institutions, policy institutions, research departments of utilities, governments, corporations, Ph.D and Master students in biostatistics, economics, f…
disambiguating description: The course has been developed to offer an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. TStat Training’s live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. The 2026 edition of this training course will be offered ONLINE on a part-time basis on the 1st-2nd of October and 8th-9th of October.
date posted: 2026-08-13T10:03:08Z
date modified: 2026-08-13T10:10:00Z
valid through: 2026-09-20T21:59:59Z
start date: 2026-10-01T08:00:00Z
end date: 2026-08-09T21:59:59Z
hiring organization: TStat Training
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Time Series Modelling
keywords: Economic Forecasting
keywords: TStat Training
keywords: Stata
keywords: Forecasting
keywords: TStat
type: course
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://www.tstat.eu/formazione/training-time-series-modelling-forecasting-stata-ol/

Call for Expressions of Interest Tenure-Track Assistant Professor (RTT) in Economics, Management, and Statistics
type: JobPosting
title: Call for Expressions of Interest Tenure-Track Assistant Professor (RTT) in Economics, Management, and Statistics
description: The IMT School for Advanced Studies Lucca invites expressions of interest from outstanding candidates for a prospective tenure-track Assistant Professor (RTT) position in Economics, Management, and Statistics, and related fields. The purpose of the scouting procedure is to collect expressions of interest in sectors deemed strategic for the development of the School’s research areas and doctoral programs in order to evaluate the opportunity to open call (“concorsi”) as expected according to the Italian law. The call for expressions of interest is open to candidates working in any field of economics, management, statistics, and related fields. We particularly welcome applicants whose research combines strong theoretical, empirical, experimental, or computational foundations with the analysis of economically and socially relevant questions. The ideal candidate will have a solid research profile and the potential to develop an internationally visible and independent research agenda. Applications are encouraged from scholars using a broad range of methodologies, including business analytics, economic theory, econometric methods, causal inference, experimental methods, survey methods, psychometric methods, mathematical and statistical methods, optimization, game theory, and machine learning. Research interests may include, but are not limited to, microeconomics, macroeconomics, econometrics, applied mathematics, statistics, operations research, management science, strategy, planning and control, business model and innovation, behavioral economics, political economy, computational economics, labor economics, public economics, health economics, environmental economics, international economics, industrial organization, economics of innovation, and economic networks. The successful candidate is expected to actively contribute to the research environment at the IMT School and, in particular, to the activities of the AXES – Laboratory for the Analysis of Complex Economic System…
disambiguating description: The IMT School for Advanced Studies Lucca invites expressions of interest from outstanding candidates for a prospective tenure-track Assistant Professor (RTT) position. ON LINE APPLICATION FORM
date posted: 2026-08-03T06:25:50Z
date modified: 2026-08-05T09:05:49Z
valid through: 2026-10-15T21:59:59Z
hiring organization: IMT School for Advanced Studies Lucca
job location: Place
  address: PostalAddress
    address locality: Lucca
    address region: Tuscany
    address country: IT
job location type: TELECOMMUTE
employment type: online
language: en
keywords: tenured track faculty member
keywords: ECONOMICS
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
discipline labels: Statistics
more info url: https://www.imtlucca.it/en/jobopportunity/call-for-expressions-of-interest-tenure-track-assistant-professor-rtt-economics

Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
type: Course
title: Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
description: The creation of spatial maps has become a valuable tool for researchers interested in both the spatial data visualization and the identification of geographical patterns in the data. This interactive course therefore, offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The workshop opens with an overview of the peculiar characteristics of geospatial data, the implications of such for the analysis of such data and an overview of the special terminology used in this field, before moving on to discuss the concept of spatial proximity and its relevance to the visualization of spatial data analysis. The remainder of the workshop is dedicated to the principle mapping techniques, using a combination of both official Stata commands and a series of user written commands, currently adopted to visualize geospatial data in Stata. Participants will learn how to import geospatial data shapefiles in Stata and merge them with their existing Stata databases in order to create, compare and customize different mapping techniques. At the end of the course, participants will be able to autonomously implement (with the help of the Stata routine templates specifically developed for the workshop) the appropriate mapping methods, given both the nature of their spatial data and the analysis in hand, within their own research. TARGET AUDIENCE This online course is of particular interest for criminologists, social psychologists, sociologists, economists, epidemiologists and political scientists seeking to acquire the requisite tools required for the exploration and visualisation of spatial data in Stata. PREREQUISITES A knowledge of basic statistics (distributions of variables, position indices, dispersion indices) and the statistical software Stata is recommended. PROGRAM SESSION I: SPATIAL DATA 1. General characteristics of spatial data 2. Types of spatial objects 3. Spatial coordinate systems 4. Maps and shapefiles 5. The trans…
disambiguating description: This interactive online course offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The next edition of this training course will be offered online on a part-time basis on the 30th of September.
date posted: 2026-01-05T10:20:22Z
date modified: 2026-07-22T07:10:45Z
valid through: 2026-09-20T21:59:59Z
start date: 2026-09-30T08:00:00Z
end date: 2026-09-30T11:30:00Z
hiring organization: TStat Training
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Geospatial Data
keywords: Spatial Maps
keywords: Stata
keywords: Geoeconomics
type: course
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: urbanruraltransportationeconomics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Urban, Rural and Transportation Economics (JEL R)
more info url: https://www.tstat.eu/formazione/visual-analysis-spatial-data-mapping-stata-ol/

Part-time Faculty, Economics – Lariccia School of Accounting & Finance – Online Courses
type: JobPosting
title: Part-time Faculty, Economics – Lariccia School of Accounting & Finance – Online Courses
description: Description Teach undergraduate online courses in economics and personal financial literacy. Position Information Plans, organizes, teaches, and provides feedback to promote and direct student success. Responds to students in a timely manner. Communicates with students, departments, and university officials via university provided tools and resources. An Institution of Opportunity: YSU inspires individuals, enhances futures, and enriches lives. As a student-centered university, Youngstown State University’s mission is to provide innovative lifelong learning opportunities that will inspire individuals, enhance futures, and enrich lives. YSU inspires individuals by cultivating a curiosity for life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development. YSU’s culture of enrichment flourishes in our intellectually diverse, accessible, and quality education. Work Schedule: Typically, Monday through Friday. Teaching assignments will be courses online. Qualifications and Competencies Required Certifications, Training, and/or Licensures: None. Sponsorship and/or Work Authorization Status: Must be currently authorized to work in the United States on a full-time basis. Minimum Qualifications: At least an earned master’s degree in economics or a related field; at least three years of professional field experience in economics; must be currently authorized to work in the United States on a full-time basis. Preferred Qualifications: Professional certification(s) in economics or finance. Prior teaching experience. Physical Requirements: In accordance with the U.S. Department of Labor physical demands strength ratings, this position will perform sedentary work. Sedentary: work involves exerting up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, pus…
disambiguating description: Teach undergraduate online courses in economics and personal financial literacy at Youngstown State University.
date posted: 2026-07-29T11:28:19Z
date modified: 2026-07-29T11:30:00Z
valid through: 2027-07-22T21:59:59Z
hiring organization: Youngstown State University
job location: Place
  address: PostalAddress
    address locality: Youngstown
    address region: Ohio
    address country: US
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Economics
keywords: Education
keywords: Online Teaching
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://www.schooljobs.com/careers/ysu/jobs/5419710/part-time-faculty-economics-lariccia-school-of-accounting-finance-online-c

EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
type: Course
title: EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
description: Date: January 1, 2026 - December 31, 2026 EcoMod ONLINE expands the EcoMod School’s offerings to a flexible, accessible learning environment designed for professionals worldwide. Our online programs cover the major economic policy challenges facing governments, central banks, international organizations, and research institutions. Key topics include sustainability, energy, climate change, monetary and fiscal policy, taxation, labor markets, development, pensions, health, social protection, gender, agriculture, tourism, water, and regional economic issues. Through EcoMod ONLINE, participants learn how to design, develop, and apply quantitative economic models for scenario analysis, impact assessment, forecasting, and policy simulations. All courses are asynchronous—allowing you to study at your own pace and from any location—while maintaining the rigor, structure, and practical orientation that define EcoMod training. Instruction is delivered by senior experts with extensive hands-on experience as heads of modeling units and research divisions in major institutions. Course Open - EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS This immersive online course enables participants to master Computable General Equilibrium (CGE) modeling using GAMS, following the successful EcoMod framework—an internationally recognized standard in applied economic modeling. Participants will build models from the ground up, developing practical skills in partial and general equilibrium analysis, household behavior, production technologies, macro‐economic policy, government interventions, labor markets, savings-investment dynamics, and international trade. Advantages of EcoMod ONLINE Learn from anywhere, at any time, with full flexibility for professional schedules Progress at your own pace through structured, high-quality modules Access the same level of expert instruction as our in-person schools Apply learning immediately through real datasets, models, and hands-o…
disambiguating description: Join a Global Community of Modeling Professionals through the EcoMod ONLINE program.
date posted: 2026-01-15T13:55:50Z
date modified: 2026-07-15T12:30:45Z
hiring organization: EcoMod
job location type: TELECOMMUTE
employment type: online
language: en
keywords: GAMS
keywords: EcoMod
keywords: Online Economics Course
keywords: Economics Training
type: course
disciplines: publiceconomicspolicy
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: generaleconomics
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: General Economics (JEL A)
more info url: https://ecomod.net/modeling-school/ecomod-online

CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
type: Course
title: CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
description: This is a Virtual Summer school (online) this year. Registration is now open for the CIMS summer school 2026. Register Here This year's Summer school will feature: Foundations of DSGE Macro Modelling The five-day course in Foundations of DSGE Modelling will run from 07-11 September 2026. The five days will consist of foundations courses aimed at early researchers with some knowledge of Real Business Cycle (RBC) or Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models, but little or no experience of Dynare. This course assumes a basic knowledge of Matlab and will begin with the basics of Dynare and proceed to the construction, in stages, of a closed economy New Keynesian (NK) DSGE model. It will then progress to the estimation by Bayesian methods, the study of optimal monetary policy and finish with an extension to the open economy NK DSGE model. The course is aimed at MSc, MRes and PhD students, early researchers, and research staff from central banks, ministries and the private sector, all with some prior experience of macroeconomic modelling and a basic knowledge of Matlab. No prior knowledge of Dynare is necessary. Please note that all participants need to have their own copy of Matlab (https://www.mathworks.com/products/matlab.html) for the course on Foundations of DSGE Macro Modelling. There is a short-term license available for students which is worth checking: https://www.mathworks.com/campaigns/products/trials.html Advanced Macro-Modelling with Applications to Numerical Methods and Heterogeneous Agents The five-day course in Advanced Modelling will run from 14-18 September 2026. The advanced course is aimed at people who are already fluent in Dynare and Matlab, but are finding that their ambition currently exceeds what they are able to do with these tools. We will cover advanced numerical and computational methods to enable people to tackle non-standard models. This course will be useful to anyone who is engaged in practical macroeconomic modell…
disambiguating description: Following highly successful Summer Schools in previous years, the Centre for International Macroeconomic Studies (CIMS) in the School of Economics, University of Surrey will hold two online summer schools on the Macroeconomics/DSGE School (Foundation and Advanced), from September 7 to 18, 2026. Foundations of DSGE Macro Modelling will consist of a five-day course running from 7 September to 11 September 2026. Advanced Macro-Modelling with Topics including Numerical Methods and Heterogeneous Agents will consist of a five-day course running from 14 September to 18 September 2026.
date posted: 2026-05-09T15:40:23Z
date modified: 2026-08-01T22:01:30Z
valid through: 2026-09-06T21:59:59Z
start date: 2026-09-07T08:00:00Z
end date: 2026-09-18T21:59:59Z
hiring organization: The University of Surrey
job location: Place
  address: PostalAddress
    address locality: Guildford
    address region: England
    address country: GB
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Heterogeneous Agent Model
keywords: Monetary Policy
keywords: New Keynesian Model
keywords: dynare
keywords: Macroeconomics
keywords: DSGE Modelling
keywords: Bayesian Estimation
keywords: Computational economics
type: course
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://www.surrey.ac.uk/centre-international-macroeconomic-studies/summer-schools

Up and Running in Stata - Live Online Training
type: Course
title: Up and Running in Stata - Live Online Training
description: TStat live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. COURSE DESCRIPTION Up and Running in Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner. The interactive course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats, merging of databases and the creation of graphs in Stata. In common with TStat’s training philosophy, Up and Running in Stata is by its very nature to be considered very much a hands on approach to learning Stata course. Each individual session is composed of both a theoretical component and an applied segment, during which participants have the opportunity to implement the techniques illustrated under the watchful eye of the course tutor. COURSE ID: D-IN10-OL LANGUAGE: English TARGET AUDIENCE This interactive online course is invaluable to both professionals and researchers (working in Epidemiology, Business Studies, Marketing and Management, Biostatistics, Economics, Epidemiology, Medicine, Public Health, Social and Political Sciences and Statistics), wishing to use Stata for applied statistical analysis, data management or data visualization. PREREQUISITES Familiarity with PCs and a working knowledge of English. PROGRAM SESSION I: GETTING STARTED SESSION II: STATA FUNDAMENTALS SESSION III: CREATING SIMPLE STATA ROUTINES: DO FILES SESSION IV: IMPORTING DATA FROM SPREADSHEETS SESSION V: MERGING DATA BASES SESSION VI: GRAPHICS – AN INTRODUCTION SUGGESTED READINGS - Acock, A. (2023). A Gentle Introduction to Stata. Revised Sixth Edition. Stata Press Publication. - …
disambiguating description: Up and Running in Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner. The next 2026 edition of this training course will be offered online on a part-time basis on the 19th-20th, 22nd-23rd of October from 9:30 am to 1:30 pm CEST.
date posted: 2026-01-14T12:14:12Z
date modified: 2026-08-13T10:08:26Z
valid through: 2026-10-09T21:59:59Z
start date: 2026-10-19T08:00:00Z
end date: 2026-10-23T11:30:59Z
hiring organization: TStat Training
job location: Place
  address: PostalAddress
    address locality: Sulmona
    address region: Abruzzo
job location type: TELECOMMUTE
employment type: online
language: en
keywords: data analysis
keywords: Stata
keywords: webinar
keywords: TStat
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Statistics
more info url: https://www.tstat.eu/formazione/up-running-stata-2/

GTAPinR Course
type: Course
title: GTAPinR Course
description: GTAPinR Course "Running the GTAP Model using R packages HARr and tabloToR" General Information Dates: Open enrollment Learners can enroll in this course at any time. Once payment has been received and access to the learning management system has been granted, learners will have 56 days to complete the course before access ends. Since the course is self-paced, instructor assistance is not available during or after the course. No feedback or grading beyond automated assessments will be provided. Location GTAPinR is delivered fully online. There is no onsite component to this course. Offered by Center for Global Trade Analysis, Purdue University Enrollment Fees $625 Professional (Developed Country) $470 Professional (Developing Country) $315 Student (Developed Country) $160 Student (Developing Country) Why You Should Enroll Enhance your GTAP skills with open-source R tools designed to streamline simulation and analysis! Execute the GTAP Model directly in R - Learn how to run GTAP simulations end-to-end within the R environment using the open-source HARr and tabloToR packages Streamline data handling and model workflows - Gain practical skills in reading and writing GTAP data, solution files, and header arrays directly in R, enabling more efficient experiment setup and result processing Build practical skills for GTAP workflows - Build hands-on skills in GTAP workflows – setting closures, applying shocks, solving the model, and extracting results all in R environment Strengthen policy analysis with advanced visualization - Turn outputs into insight with R visualization workflows, improving interpretation, communication, and presentation of simulation results Flexible, self-paced learning for busy schedules - With open enrollment and a 56-day completion window, the course is designed to fit into busy schedules while providing structured modules, practical exercises and assessments Course Content This course aims to empower GTAP users with practical tools in R statistical…
disambiguating description: Enroll in the GTAPinR Course to enhance your GTAP skills with practical tools in R statistical software for policy making.
date posted: 2026-05-24T14:03:06Z
date modified: 2026-05-24T15:02:30Z
valid through: 2027-06-24T21:59:59Z
hiring organization: Purdue University
job location: Place
  address: PostalAddress
    address locality: West Lafayette
    address region: Indiana
    address country: US
job location type: TELECOMMUTE
employment type: online
language: en
keywords: online course
keywords: computable general equilibrium modeling
keywords: GTAP
keywords: R statistical software
type: course
disciplines: microeconomics
disciplines: othereconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: economicsystems
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: econometricsstatisticsquantitative
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: economicthoughtmethodology
discipline labels: Microeconomics (JEL D)
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Economic Systems (JEL P)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Economic Thought & Methodology (JEL B)
more info url: https://www.gtap.agecon.purdue.edu/events/GTAPinR/

Non-resident full-time faculty position: Assistant, Associate, or Full Professor in Sustainability and Green Economy
type: JobPosting
title: Non-resident full-time faculty position: Assistant, Associate, or Full Professor in Sustainability and Green Economy
description: Hamdan Bin Mohammed Smart University (HBMSU), located in Dubai, UAE, the first accredited smart learning university in the region, is seeking exceptional scholars who are passionate about advancing innovative online education. To complement the existing faculty of the School of Sustainability and Green Economy, this non-resident appointment specifically targets scholars whose primary expertise is in sustainable finance, ESG, carbon management, climate policy, or environmental economics. Successful candidates will join a dynamic, learner-centric institution dedicated to excellence in smart learning. Faculty are expected to teach undergraduate and graduate courses in a fully online environment, contribute to the development of engaging digital course content, and maintain an active record of research and scholarly contributions in their specific field. The ideal candidates will demonstrate a commitment to research output including high-quality publications, innovative online pedagogy, and meaningful service to the academic community. Non-resident faculty appointments are full-time roles that allow candidates to teach, conduct research, and engage in service remotely from outside the UAE while fully participating in HBMSU’s online learning environment, contributing to academic service, and mentoring students. These faculty members reside outside the UAE and contribute to our mission entirely through digital platforms. Teaching is delivered fully online, whether asynchronous or synchronous; allowing them to engage with learners across borders. Non-resident faculty actively participate in faculty meetings, committees, and training sessions virtually, ensuring strong collaboration despite the distance. They are expected to produce impactful research in their specific areas, mentor students, and contribute to academic service, with all responsibilities carried out remotely. Community involvement is fostered through regular virtual participation in campus events and initiat…
disambiguating description: Hamdan Bin Mohammed Smart University (HBMSU) seeks exceptional scholars for the School of Sustainability and Green Economy.
date posted: 2026-05-21T08:00:00Z
date modified: 2026-05-21T08:00:00Z
hiring organization: Hamdan Bin Mohammed Smart University
job location: Place
  address: PostalAddress
    address locality: Dubai
    address region: Dubai
    address country: AE
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Green economy
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
discipline labels: Finance
more info url: https://www.hbmsu.ac.ae/about/employment/non-resident-full-time-faculty-position-assistant-associate-or-full-professor

Positive Science – Economics Best Paper Award 2026: $4,000 Prize Fund for Published Articles
type: EducationalOccupationalProgram
title: Positive Science – Economics Best Paper Award 2026: $4,000 Prize Fund for Published Articles
description: The journal Positive Science – Economics welcomes original research across the broad field of economics, including macroeconomics, microeconomics, finance, development, public economics, labour, education, health, international economics, economic history, environmental economics, digital economy, innovation, and related fields. Positive Science – Economics is open-access, peer-reviewed, and IMRaD-friendly. We welcome theoretical, empirical, applied, policy-oriented, qualitative, quantitative, and interdisciplinary research. Submit your manuscript and, if your article is accepted for publication by December 31, 2026, it will be automatically considered for the award. https://positive-science.com/contest/economics_best_paper_award_2026_75882b7129?utm_source=inomics&utm_medium=announcement&utm_campaign=ps_economics_best_paper_award_2026&utm_content=contest_cta Journal Aims & Scope: https://positive-science.com/journal/human_economics_B1057f9a86?utm_source=inomics&utm_medium=announcement&utm_campaign=ps_economics_best_paper_award_2026&utm_content=journal_scope
disambiguating description: 🏆 Positive Science is pleased to announce the Positive Science – Economics Best Paper Award 2026, an award recognizing outstanding scholarly contributions published in the peer-reviewed open-access journal Positive Science – Economics. All articles accepted for publication or published in Positive Science – Economics between 1 January and 31 December 2026 are automatically eligible. Authors do not need to submit a separate award application. Total prize fund: US$4,000, distributed across three award categories: 🥇 Best Paper Award: US$2,500 🥈 Runner-up Award: US$1,000 🌱 Special Mention / Emerging Scholar Award: US$500 Results announcement: March 2027
date posted: 2026-06-08T14:32:04Z
date modified: 2026-06-08T16:01:40Z
start date: 2026-06-08T08:00:00Z
end date: 2026-12-31T22:59:59Z
hiring organization: Positive Science
job location type: TELECOMMUTE
employment type: online
language: en
keywords: economics
keywords: call for papers
keywords: best paper
type: scholarship
disciplines: microeconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: generaleconomics
disciplines: finance
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: General Economics (JEL A)
discipline labels: Finance
more info url: https://positive-science.com/contest/economics_best_paper_award_2026_75882b7129

Econometrics with EViews: Time Series, and Panel Data
type: Course
title: Econometrics with EViews: Time Series, and Panel Data
description: Econometrics with EViews: Time Series, and Panel Data Created by Dr. Nasir Munir What you'll learn Understanding the concepts of data. Explaining the properties of the OLS. Estimating the different econometric tools used in time series data. Determining the basic economics models and interpreting them. This course includes: 13 hours on-demand video Assignments Access on mobile and TV Certificate of completion Course content 16 sections • 88 lectures • 13h 8m total length Description In this course, you will learn how to collect, import, and structure data (World Bank, IMF, WDI, Panel Data), understand types of data and preparing datasets for analysis, and more. Who Should Enroll? Undergraduate & Graduate Students in Economics, Finance, and Business PhD Scholars & Researchers preparing econometric models for publications Policy Analysts & Data Professionals applying econometrics in real-world decision-making By the End of This Course, you will be able to confidently analyze time series and panel data, detect econometric issues, apply advanced models, and present results like a professional researcher. Course Pricing Current price: €19.99 30-Day Money-Back Guarantee Full Lifetime Access Instructor Dr. Nasir Munir is an Assistant Professor at SZABIST University.
disambiguating description: Master Econometrics from Basics to Advanced: OLS, ARDL, VAR, GARCH, Cointegration, Causality & Panel Data Analysis.
date posted: 2025-10-01T08:10:27Z
date modified: 2026-05-09T08:10:45Z
hiring organization: Udemy
job location type: TELECOMMUTE
employment type: online
language: en
keywords: EViews
keywords: econometrics
keywords: data analysis
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://trk.udemy.com/PODeke

Postdoctoral Associate in Economics
type: JobPosting
title: Postdoctoral Associate in Economics
description: Description: The Center for Private Tutoring Policies at the Chung-Ang University Economic Research Institute invites applications for a full-time Postdoctoral Associate position funded by the Korea Research Foundation. We seek candidates with strong training in empirical methods, particularly in labor or public economics, although applicants from all fields of economics are encouraged to apply. The Postdoctoral Associate will collaborate on ongoing empirical research projects with Professors Changhui Kang, Sun Go, and Hoon Choi, and will also contribute to related administrative tasks. The position provides substantial time for independent research and is particularly suitable for recent Ph.D. recipients seeking a research-oriented appointment. There is no teaching requirement; however, optional teaching opportunities may be available with additional compensation. Duration and Compensation: The initial appointment is for one year, beginning in September 2026 or earlier, with the possibility of annual renewal through August 2029. The annual salary is 42 million KRW (inclusive of taxes, social insurance contributions, and retirement benefits). Qualifications: Applicants must have completed a Ph.D. in economics or a closely related field by the start date. While the Center’s primary research areas include labor economics, public economics, and econometrics, candidates from all areas of economics are welcome. Proficiency in Korean is required. Application Requirements: Cover letter Curriculum vitae Job market paper Research statement Academic transcripts Three letters of recommendation Application Deadline: Review of applications will begin immediately and continue on a rolling basis until the position is filled. Additional Information: Shortlisted candidates will be invited for online interviews. Contact Information: For inquiries, please contact: Wonho Song via the CAU CEPT Webpage: https://cept.cau.ac.kr/
disambiguating description: Chung-Ang University invites applications for a Postdoctoral Associate position in Economics, specializing in Labor and Public Economics.
date posted: 2026-04-28T08:00:00Z
date modified: 2026-05-04T14:46:41Z
valid through: 2026-08-31T21:59:59Z
hiring organization: Chung-Ang University
job location: Place
  address: PostalAddress
    address locality: Seoul
    address region: Seoul
    address country: KR
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Economics
keywords: Postdoctoral
keywords: Research
keywords: Korea
type: job
disciplines: publiceconomicspolicy
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: labordemographiceconomics
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Labor and Demographic Economics (JEL J)
more info url: https://cept.cau.ac.kr/

Microeconomics: The Power of Markets (Online Course)
type: Course
title: Microeconomics: The Power of Markets (Online Course)
description: Instructor: Rebecca Stein 5 modules Gain insight into a topic and learn the fundamentals. 4.7 (1,638 reviews) 2 weeks to complete at 10 hours a week Flexible schedule; Learn at your own pace 95% Most learners liked this course Skills you'll gain: Resource Allocation, Economics, Market Analysis, Policy Analysis, Supply And Demand, Market Dynamics, Decision Making, Tax, Consumer Behaviour, Cost Benefit Analysis Details to know Shareable certificate Add to your LinkedIn profile Assessments 18 assignments Taught in English 22 languages available Course Modules: The Concept of Scarcity: 2 hours to complete Specialization & Trade: 1 hour to complete Supply and Demand: 3 hours to complete Understanding Markets: Elasticities, Market Surplus, Efficiency, and Equity: 3 hours to complete When Government Intervenes: 3 hours to complete This course is an introduction to the microeconomic theory of markets: why we have them, how they work, what they accomplish. We will start with the concept of scarcity and how specialization according to comparative advantage helps us achieve more than we could alone. Next, we model a market using the tools of Supply and Demand and learn what well-working markets accomplish and what their limits are. We end by exploring the impact of government intervention on perfect markets. Examples are taken from everyday life, from goods and services that we all purchase and use. We will apply the theory to current events and policy debates through weekly exercises, empowering you to be an educated, critical thinker who can understand, analyze, and evaluate market outcomes. Instructor Instructor ratings: 4.8 (313 ratings) Rebecca Stein, University of Pennsylvania 3 Courses • 117,222 learners Offered by University of Pennsylvania Recommended Microeconomics: Foundations and Insights Microeconomics: When Markets Fail Course rating 1,638 reviews 5 stars: 79.42% 4 stars: 17.15% 3 stars: 2.62% 2 stars: 0.42% 1 star: 0.36%
disambiguating description: Instructor: Rebecca Stein. Enroll for free.
date posted: 2025-10-10T14:04:52Z
date modified: 2026-04-11T07:10:45Z
hiring organization: Coursera
job location type: TELECOMMUTE
employment type: online
language: en
keywords: online course
keywords: microeconomics
type: course
disciplines: microeconomics
disciplines: economics
disciplines: socialscience
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Economics and Social Sciences
more info url: https://imp.i384100.net/EKobB9

Macroeconomics of Business Dynamism
type: Course
title: Macroeconomics of Business Dynamism
description: Overview This graduate-level course provides an introduction into the macroeconomics of business dynamism. Taught by Petr Sedlacek (days 1-4) and Marek Ignaszak (day 5), students will learn about stylized facts and key theoretical concepts related to (i) static factor misallocation, (ii) firm dynamics over the business cycle and (iii) innovation and growth. Throughout the course, emphasis is given on practical knowledge for building, solving and analyzing macroeconomic models of business dynamism and on pointing out typical problems that researchers may run into. In addition, students will learn about available data sources and how to analyze them and how to use them to help discipline their models. Through hands-on computer sessions, participants will walk away with a portfolio of Matlab codes implementing a range of macroeconomic models with heterogeneous firms. Topics include: Static factor misallocation, firm dynamics over the business cycle Innovation and growth Handling (micro-)data, indirect inference and markup estimation
disambiguating description: Lectures and Hands-on Computer Labs This summer school runs between August 17-21, 2026 and is virtual only. The course consists of lectures, guided Q&A and coding sessions. Participants can also submit their own work to a dedicated research workshop where up to 6 papers will be selected for presentation. More information: https://sites.google.com/view/firms4macro
date posted: 2026-03-18T17:57:16Z
date modified: 2026-03-18T18:10:11Z
start date: 2026-08-17T08:00:00Z
end date: 2026-08-21T21:59:59Z
job location type: TELECOMMUTE
employment type: online
language: en
keywords: macroeconomics
keywords: firm dynamics
keywords: summer school
keywords: business dynamism
type: course
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: industrialorganization
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Industrial Organization (JEL L)
more info url: https://sites.google.com/view/firms4macro

Python and Statistics for Financial Analysis
type: Course
title: Python and Statistics for Financial Analysis
description: Instructor: Xuhu Wan Course Details 4 modules Flexibility: 1 week at 10 hours a week, learn at your own pace Intermediate level Taught in English, available in 29 languages (AI Translation) Skills You'll Gain Data Visualization Financial Trading Statistical Analysis Data Import/Export Statistical Inference Regression Analysis Financial Data Financial Modeling Jupyter Model Evaluation Course Overview Python is now becoming the number 1 programming language for data science, especially in the financial industry. This course combines both Python coding and statistical concepts and applies them to analyze financial data, such as stock data. Objectives By the end of the course, you can achieve the following using Python: Import, pre-process, save, and visualize financial data into pandas Dataframe. Manipulate financial data by generating new variables using multiple columns. Apply key statistical concepts into financial contexts. Build and evaluate a trading model using linear regression. Course Structure Module 1: Visualizing and Munging Stock Data - 3 hours to complete Module 2: Random Variables and Distribution - 2 hours to complete Module 3: Sampling and Inference - 3 hours to complete Module 4: Linear Regression Models for Financial Analysis - 4 hours to complete Instructor Xuhu Wan from The Hong Kong University of Science and Technology. Additional Information There are 5 assignments included in this course. Enroll now for free!
disambiguating description: Enroll in this course to gain essential skills in Python and statistics for financial analysis.
date posted: 2025-12-30T11:02:49Z
date modified: 2025-12-31T13:27:15Z
hiring organization: Hong Kong University of Science and Technology
job location: Place
  address: PostalAddress
    address country: HK
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Data Science
keywords: Finance
keywords: Statistical Analysis
keywords: Python
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Finance
more info url: https://imp.i384100.net/6y0AbQ

MOE START Scheme (Early Career Awards) - Business, Communication and Design
type: JobPosting
title: MOE START Scheme (Early Career Awards) - Business, Communication and Design
description: At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence. In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses. The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen Recently completed postdoctoral training Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be…
disambiguating description: The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT.
date posted: 2025-09-05T08:00:00Z
date modified: 2025-09-05T08:00:00Z
valid through: 2026-10-01T21:59:59Z
job location: Place
  address: PostalAddress
    address locality: Singapore
    address country: SG
job location type: TELECOMMUTE
employment type: online
language: en
keywords: economic
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://career44.sapsf.com/careers

Game Theory II: Advanced Applications
type: Course
title: Game Theory II: Advanced Applications
description: Course offered by: Stanford University In the first week we consider the problem of aggregating different agents' preferences, discussing voting rules and the challenges faced in collective decision making. We present some of the most important theoretical results in the area: notably, Arrow's Theorem, which proves that there is no "perfect" voting system, and also the Gibbard-Satterthwaite and Muller-Satterthwaite Theorems. We move on to consider the problem of making collective decisions when agents are self interested and can strategically misreport their preferences. We explain "mechanism design" -- a broad framework for designing interactions between self-interested agents -- and give some key theoretical results. Our third week focuses on the problem of designing mechanisms to maximize aggregate happiness across agents, and presents the powerful family of Vickrey-Clarke-Groves mechanisms. The course wraps up with a fourth week that considers the problem of allocating scarce resources among self-interested agents, and that provides an introduction to auction theory.
disambiguating description: Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Over four weeks of lectures, this advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions.
date posted: 2020-03-28T13:00:00Z
date modified: 2025-06-28T13:50:45Z
hiring organization: Coursera
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Stanford University
keywords: game theory
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://imp.i384100.net/Py304M

Introduction to Sustainable Finance (Online Course)
type: Course
title: Introduction to Sustainable Finance (Online Course)
description: We will analyze approaches to sustainable finance, evaluate the correlation between risk and return, and gain insight into the vital features responsible for successfully meeting environmental and social initiatives. We will also explore and evaluate the role of the public sector in sustainable finance, and analyze disruptive trends and the innovations necessary to manage them. At the end of this course, you will complete a case study that outlines how your organization can create your own sustainable finance initiatives and how you can be a key player in meeting those goals. Become a Sustainable Finance expert with a purpose by learning to integrate people, profits, and the planet into the bottom line. Who this course is for: Finance professionals currently in the industry, as well as those seeking to break in, will gain insight into how to best invest capital in order to promote a sustainable future. Instructor: Dominick Mitchell Dominick Mitchell is a leading expert in sustainable finance, with a passion for finance, international development, and sustainability. He has been recognized as the Youth Entrepreneur of the Year and has written a book on the topic, Finance Made Sustainable. In his work, Dominick assists social enterprises with their sustainable finance initiatives, helping them to solve social problems through engagement with the private sector. He also manages WVÉS, a water-focused impact fund that supports investees in achieving both social and financial returns. Dominick's ultimate goal is to mobilize the private sector to become more sustainably conscious and inclusive on a global scale.
disambiguating description: Finance is widely seen as an obstacle to a better world. Financial services make up one of the economy's most important and influential sectors globally. Although results vary, most estimates place the financial services sector at around 20-25% of the world economy. Finance fosters growth, promotes entrepreneurship, favors education, alleviates poverty, and reduces inequality. In this online course, you will learn the essential role the financial system plays in reaching the United Nations Sustainable Development Goals and creating a globally sustainable economy. Students will learn how the current financial systems run, the factors that impact them, and the circulation of capital.
date posted: 2025-06-25T07:39:55Z
date modified: 2025-10-01T08:01:40Z
hiring organization: Udemy
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Sustainable Finance
keywords: Online Course
keywords: Online Course Sustainable Finance
keywords: Udemy
type: course
disciplines: economics
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: agriculturalenvironmentaleconomics
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: Finance
more info url: https://trk.udemy.com/2aNogQ

(Oxford) Diploma : Macroeconomics/Behavioural Economics
type: Course
title: (Oxford) Diploma : Macroeconomics/Behavioural Economics
description: Key details: 48 hours of lectures on macroeconomics Several workbooks on macroeconomics Hundreds of discussions on macroeconomics Regular updates via Educational Announcements Behavioural Economics The Instructor has macroeconomics textbooks on Amazon Five reasons to TAKE THIS COURSE right now: 1. You cannot lose - 30 day refund if you really really don't like the course BUT if you DO like it: a. updated lectures b. case studies based on very very current news items c. detailed responses to messages d. I constantly attempt to have a 'class atmosphere' e.g. throwing questions open to all e. regular Announcements that are not disguised sales ploys f. regular FREE access to numerous other courses offered by me 2. I am a lecturer/teacher in Economics by trade i.e. I teach full-time for a living. I have been Principal, Director of Studies and Head of Economics. (Oxford, UK) I have lectured in University, adult evening classes and also run over 50 seminars in the UK 3. I am/have been an Examiner for FIVE different examination boards 4. I have 100+ books on Amazon - many of them about business/economics 5. The success of my students has been featured on the BBC, Daily Telegraph, The Times and I have been featured on TV in 2 countries. MOTIVATION I make courses on Udemy primarily because I enjoy the process of causing learning. Many of my courses are to improve lives. One of the Economics courses is to raise money for charity. (100% of revenue goes to the charity) Fundamentally this course here, is about helping you. About the course Using ONLY aggregate demand and aggregate supply, this course explains the basics of macro economic policy. The lectures are fully supported by notes - often repeated to ensure learning - that may be copied and used for other studies. If you wish to understand more as to why governments cut/raise taxes, cut/raise government expenditure, how this impacts on inflation, unemployment and growth - then this is the course for you. Topics: Gross Domes…
disambiguating description: Mastering Markets and Minds: An Interactive Journey Through Macroeconomics and Behavioural Economics. By Chris Sivewright / Oxford School of Learning.
date posted: 2019-12-11T23:00:00Z
date modified: 2025-10-01T07:59:10Z
hiring organization: Udemy
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Economics
keywords: Behavioral Economics
keywords: Macroeconomics
keywords: Behavioural Economics
keywords: Behavioural Economics Online Course
type: course
disciplines: publiceconomicspolicy
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://trk.udemy.com/jeLNV0

Publish A Summary of Your Economics Research on INOMICS
type: EducationalOccupationalProgram
title: Publish A Summary of Your Economics Research on INOMICS
description: We invite economists who are conducting or have conducted research to write a summary of their research and why it’s important, interesting, or unique in the field, and share that article with other economists via INOMICS. This “research summary” article can function as an extended abstract that will help other economists discover your work and learn more about your area of expertise. The tone can be similar to a relatively casual lunchtime conversation with colleagues who are trained in economics but unfamiliar with your work. Please note: We do not publish academic research. However, an article that describes your research and its importance to an audience of early-career economists and economics students is encouraged. Writing a research summary article on INOMICS can help your research reach a broader economist audience, inspire others’ research, broaden your network by reaching others in related areas, and add to your portfolio of written work. Our Goals for Your Submission: You are able to share your research topic and other factors related to it with economists on INOMICS. Economist readers of INOMICS can find interesting articles about recent or upcoming research in economics on the INOMICS Blog, in addition to what’s already been shared on the Blog. You are able to build your portfolio of written work, and develop your reputation among the thousands of readers who use INOMICS. You add to the library of interesting INOMICS content; readers benefit from learning about the interesting topic area. Less experienced readers additionally benefit from learning about your research, evaluation of economics issues, methodology or challenges overcome while researching, etc. Submission guidelines: Articles must be written in English Articles should be at least 1000 word and no more than 2500 words. Use a conversational but intelligent style - short introduction and conclusion, relatively short sentences, informal but intelligent tone (imagine you are speaking to a junio…
disambiguating description: Call for Submissions At INOMICS we aim to support economists, their studies, and their careers.
date posted: 2024-03-01T06:00:00Z
date modified: 2025-12-23T13:35:00Z
hiring organization: INOMICS
job location: Place
  address: PostalAddress
    address locality: Berlin
    address region: State of Berlin
    address country: DE
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Call for Submissions
keywords: Economics Research
keywords: Research Summary
type: scholarship
disciplines: politics
disciplines: othereconomics
disciplines: labordemographiceconomics
disciplines: economicdevelopmentgrowth
disciplines: healtheducationwelfareeconomics
disciplines: economicsystems
disciplines: macroeconomicsmonetary
disciplines: laweconomics
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: businesseconomics
disciplines: economicthoughtmethodology
disciplines: industrialorganization
disciplines: microeconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: datascience
disciplines: urbanruraltransportationeconomics
disciplines: economichistory
disciplines: economics
disciplines: financialeconomics
disciplines: econometricsstatisticsquantitative
disciplines: finance
disciplines: statistics
discipline labels: Politics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: Economic Systems (JEL P)
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Law and Economics (JEL K)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Business Economics (JEL M)
discipline labels: Economic Thought & Methodology (JEL B)
discipline labels: Industrial Organization (JEL L)
discipline labels: Microeconomics (JEL D)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Data Science
discipline labels: Urban, Rural and Transportation Economics (JEL R)
discipline labels: Economic History (JEL N)
discipline labels: Economics
discipline labels: Financial Economics (JEL G)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Finance
discipline labels: Statistics