ECONOMETRICS OF PROGRAM EVALUATION

Date of Appearance: 
Feb 3, 2017
Duration of the course: 
Mar 28, 2017 to Mar 31, 2017
Application Deadline: 
Mar 20, 2017

ECONOMETRICS OF PROGRAM EVALUATION

Date of Appearance: 
Feb 3, 2017
Duration of the course: 
Mar 28, 2017 to Mar 31, 2017
Application Deadline: 
Mar 20, 2017
TStat Training
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Course Details

Professional Training
Credits or certification after course completion: 
Certificate of participation will be issued at the end of the course
Study Options: 
Full-Time

Course Fees

Regular Fee: 
€2 400,00
International Student Fee: 
€1 050,00
Comment: 
Course fees depend on the individuals current status. Students*: €1050.00 Academic: €1750.00 Government/Nonprofit: €2075.00 Commercial: €2400.00 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. All fees are subject to VAT (applied at the current Italian rate of 22%).

Location of Course

Location: 
Fleming's Hotel Frankfurt City
Eschenheimer Tor 2
60318 Frankfurt am Main
Germany

Providing effective evaluation of economic, social and medical programs has become an increasingly important requirement for both public and private institutions. This workshop seeks therefore, to provide participants with the requisite tools, both theoretical and applied, for the correct implementation of modern micro-econometric methods for implementing program evaluation using Stata. As such, the program has been developed to encompass both: standard statistical methods of program evaluation: regression-adjustment, matching, selection-models and difference-in-differences methodologies; and the more advanced econometric techniques: for example, instrumental variables, endogenous regression-adjustment and regression discontinuity design.

At the end of the workshop participants are expected to be able to master complex evaluation design by: identifying the type of data required in their specific policy framework; evaluating which specific econometric method is more appropriate for the analysis in hand; and finally extracting policy recommendations from the obtained results. Participants should leave the course being in a position to autonomously implement, with the aid of the Stata routines utilized during the sessions, the theories and methodologies discussed during the course of the workshop.

In common with TStat’s course philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the workshop, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques.

Prerequisites:

  • Participants should have an introductory knowledge of econometrics and the statistical software Stata.

Language Requirements: 
English

Class Size: 
10 - 20 students

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