Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: RE: Imbens Wooldridge lecture notes (link to lecture notes and slides)


From   DE SOUZA Eric <[email protected]>
To   "'[email protected]'" <[email protected]>
Subject   st: RE: Imbens Wooldridge lecture notes (link to lecture notes and slides)
Date   Fri, 28 Aug 2009 16:03:54 +0200

I found the lecture notes and slides by

- clicking on Resources in the left hand column
- then on 2009 under masterclass resources
- then on View under New Developments  


Eric de Souza
College of Europe
Brugge (Bruges), Belgium
http://www.coleurope.eu

-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of DE SOUZA Eric
Sent: 28 August 2009 11:05
To: Statalist
Subject: st: Imbens Wooldridge lecture notes on new developments in econometrics available

The Centre for Microdata Methods and Practice (CEMMAP) organised a master class in June of this year taught by Jeffrey Wooldridge and Guido Imbens.

http://www.cemmap.ac.uk/masterclasses.php?event_id=410

The entire set of lecture notes and slides are available .

In Lecture 7 Wooldridge considers "estimation and inference with cluster samples .... The main focus is on true cluster samples, although the case of applying cluster-sample methods to panel data is treated, including recent work where the sizes of the cross section and time series are similar. Wooldridge (2003, extended version 2006) contains a survey, but more recent work is discussed here."

Contents
Lecture 1: Estimation of Average Treatment Effects Under Unconfoundedness, Part I Lecture 2: Estimation of Average Treatment Effects Under Unconfoundedness, Part II Lecture 3: Linear Panel Data Models I Lecture 4: Linear Panel Data Models II Lecture 5: Instrumental Variables with Treatment Effect Heterogeneity: Local Average Treatment Effects Lecture 6: Nonlinear Panel Data Models Lecture 7: Cluster Sampling Lecture 8: Discrete Choice Models Lecture 9: Stratified Sampling Lecture 10: Partial Identification Lecture 11: Difference-in-Differences Estimation Lecture 12: Regression Discontinuity Designs Lecture 13: Bayesian Inference Lecture 14: Control Function and Related Methods Lecture 15: Weak Instruments and Many Instruments Lecture 16: Quantile Estimation Lecture 17: Generalized Method of Moments and Empirical Likelihood Lecture 18: Missing Data


Eric de Souza
College of Europe
Brugge (Bruges), Belgium
http://www.coleurope.eu


*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index