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


From   DE SOUZA Eric <eric.desouza@coleurope.eu>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
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: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] 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


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