ÊSTIMATE - Early Summer Tutorial In Modern Applied Tools of Econometrics

Date of Appearance: 
Feb 9, 2017
Duration of the course: 
Jun 9, 2017 to Jun 11, 2017


Course Details

Summer Schools
Credits or certification after course completion: 
-
Study Options: 
Full-Time

Course Fees

Regular Fee: 
$1,100.00

Location of Course

Location: 
Michigan State University 486 W. Circle Dr. Room 110
East Lansing, MI 48824
United States

Econometrics has long been a strength of the Economics Department at Michigan State University.  ÊSTIMATE -- Early Summer Tutorial In Modern Applied Tools of Econometrics -- gives empirical practitioners, academic researchers, industry/government researchers/analysts, and graduate students, access to econometrics training usually reserved for students formally enrolled in PhD programs at MSU. ÊSTIMATE is an intensive weekend workshop taught by world class econometricians. ÊSTIMATE’s focus is modern econometric tools as used in practice. Participants learn methods and techniques to use immediately in their empirical research.  ÊSTIMATE’s goal is to broaden and improve the practice of econometric methods throughout empirical research and data analysis in academics, industry and government.

Topics Covered in ÊSTIMATE

The 2017 presentations focus on understanding when various models and estimation methods are appropriate as well as how to conduct proper inference in a variety of settings. Methods are illustrated with empirical examples using the econometrics software package Stata. Participants receive access to course/workshop materials including presentation slides, notes, data sets, and Stata .do files.  Topics will include:

  • Linear Models with Cross-Sectional Data
  • Introduction to Regression with Time Series Data
  • Stratified Sampling, and Cluster Sampling
  • Difference-in-Differences Estimation
  • Linear Panel Data Models with Microeconomic Data
  • Linear Panel Data Models with Many Time Periods
  • Nonlinear Models for Cross-Sectional and Panel Data

All are welcome to attend ÊSTIMATE. However, to fully benefit from the workshop, we recommend that participants have an econometrics background comparable to a first-year PhD econometrics sequence.

Prerequisites:

  • Language certification

Language Requirements: 
Sufficient English Language

Course Instructors/Professors:

  • -

More information

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