You may also find the NBER Summer Institute mini-courses useful. The
lecture slides and videos are online for free and available on DVD for
$100.00
2008 Stock & Watson, with special focus on time-series
http://www.nber.org/minicourse_2008.html
2007 Imbens & Wooldridge
http://www.nber.org/minicourse3.html
Cheers,
Bert
On Fri, Aug 28, 2009 at 10:03 AM, DE SOUZA
Eric<[email protected]> wrote:
> 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
>
>
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