I was aware of the 2007 lectures, but not the 2008 ones.
Thanks,
Eric
Eric de Souza
College of Europe
Brugge (Bruges), Belgium
http://www.coleurope.eu
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Bert Jung
Sent: 29 August 2009 00:51
To: [email protected]
Subject: Re: st: RE: Imbens Wooldridge lecture notes (link to lecture notes and slides and NBER mini courses)
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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