Training Courses

Our training courses are designed to be of particular benefit to economists and social scientists in the public and private sectors wanting to know how to use econometric methods and a variety of data to inform policy making.

They run over 1 or 2 days in the new facilities of Georgetown University School of Continuing Studies located in downtown Washington, D.C. at 640 Massachusets Avenue N.W.

The price for each of the courses is as follows: Students from Higher Education Institutions $500; Faculty and Staff from Higher Educational Institutions $950; Government and non profit organization employees $950; All others $1750. Note we will assign a limited number of places for students, and we will offer a discounted price for organizations which send multiple participants. If your organization wishes to send multiple particiapants, please contact us to arrange a reduced price before individuals from your organization register and pay seperately.  

Please dont forget to both register for a course and pay for the course you would like to attend below.

If you have any queries, please contact events team at gcepevents@georgetown.edu.

Spring 2018

May 2-3, 2018
Matias Cattaneo-University of Michigan
Program Evaluation

Synopsis

The course will provide an introduction to standard and recent methodological developments in program evaluation, with particular focus on (reduced form) treatment effect estimation and inference in experimental and observational settings. It will focus on methodology and empirical practice, and will not discuss much of the statistical and econometric theory underlying the results.

Registration

Please click on the following link to register for the course: Register Here 

Payment

 
 
 
 

 

 


May 21-22, 2018
Jeffrey M. Wooldridge-Michigan State University
Panel Data Econometrics

Synopsis

This course in panel data econometrics, presented primarily from a microeconometrics perspective, will cover linear panel data models with unobserved heterogeneity, including discussions of the strengths and weakness of the various estimation methods. Basic estimation methods include random effects, fixed effects, and first differencing. Instrumental variables estimation of models without strictly exogenous explanatory variables will also be covered, including those that contain contemporaneously endogenous variables and those that contain lagged dependent variables. Estimation of linear models with heterogeneous trends and heterogeneous slopes will also be covered. Special considerations with unbalanced panels will be discussed, including how to test for sample selection and attrition bias. The statistical package Stata will be used to illustrate the methods during lectures and in obtaining hands-on experience.

Registration

Please click on the following link to register for the course: Register Here

Payment

 
 
 
 

 

 

Previous Training Courses