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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