(Jeffrey M. Wooldridge)
Description: This graduate text provides an intuitive but
rigorous treatment of contemporary methods used in microeconometric
research. The book makes clear that applied microeconometrics is about
the estimation of marginal and treatment effects, and that parametric
estimation is simply a means to this end. It also clarifies the
distinction between causality and statistical association.
The book focuses specifically on cross section and panel data methods.
Population assumptions are stated separately from sampling assumptions,
leading to simple statements as well as to important insights. The
unified approach to linear and nonlinear models and to cross section and
panel data enables straightforward coverage of more advanced methods.
The numerous end-of-chapter problems are an important component of the
book. Some problems contain important points not fully described in the
text, and others cover new ideas that can be analyzed using tools
presented in the current and previous chapters.
Several problems require the use of the data sets located at the author's website:
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