DICTIONARY
Microeconometrics
This selection of articles balances important theoretical concerns with key empirical debates to provide an overview of this important theme. These are, of course, just some of the many articles from the Dictionary on this theme.
categorical data by A. Colin Cameron
competing risks model by Gerard J. van den Berg
computational methods in econometrics by Vassilis A. Hajivassiliou
control functions by Salvador Navarro
decision theory in econometrics by Keisuke Hirano
difference-in-difference estimators by Alberto Abadie
exchangeability by David Draper
extreme bounds analysis by Edward E. Leamer
field experiments by John A. List and David Reiley
fixed effects and random effects by Badi H. Baltagi
Identification by Jean-Marie Dufour and Cheng Hsiao
local regression models by Oliver B. Linton
logit models of individual choice by Thierry Magnac
longitudinal data analysis by Cheng Hsiao
matching estimators by Petra E. Todd
maximum score methods by Robert P. Sherman
mixture models by Bruce G. Lindsay and Michael Stewart
natural experiments and quasi-natural experiments by J. Dinardo
nonlinear panel data models by Ekaterini Kyriazidou
nonparametric structural models by Rosa L. Matzkin
partial identification in econometrics by Charles F. Manski
partial linear model by Elie Tamer
propensity score by Jinyong Hahn
proportional hazard model by Jerry A. Hausman and Tiemen M. Woutersen
quantile regression by Moshe Buchinsky
regression-discontinuity analysis by Wilbert van der Klaauw
Roy model by James J. Heckman and Christopher Taber
Rubin causal model by Guido W. Imbens and Donald B. Rubin
selection bias and self-selection by James J. Heckman
semiparametric estimation by James L. Powell
simulation-based estimation by Eric Renault
social interactions (empirics) by Yannis M. Ioannides
spatial econometrics by Timothy G. Conley
survey data, analysis of by Jeff Dominitz and Arthur van Soest
Tobit model by Jean-Marc Robin
treatment effect by Joshua D. Angrist
variance, analysis of by Andrew Gelman
