Propensity score matching (PSM) has become a popular approach to estimate causal
treatment effects. It is widely applied when evaluating labour market policies, but empirical …

Many empirical questions in economics and other social sciences depend on causal effects
of programs or policies. In the last two decades, much research has been done on the …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …

We add to the methods for conditioning out serially correlated unobserved shocks to the
production technology. We build on ideas first developed in Olley and Pakes (1996). They …

A Guide to Modern Econometrics, 5th Edition has become established as a highly
successful textbook. It serves as a guide to alternative techniques in econometrics with an …

In regression discontinuity (RD) designs for evaluating causal effects of interventions,
assignment to a treatment is determined at least partly by the value of an observed covariate …

Standard sufficient conditions for identification in the regression discontinuity design are
continuity of the conditional expectation of counterfactual outcomes in the running variable …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

In this second edition of Counterfactuals and Causal Inference, completely revised and
expanded, the essential features of the counterfactual approach to observational data …

Semiparametric regression is concerned with the flexible incorporation of non-linear
functional relationships in regression analyses. Any application area that benefits from …