"Print year: 2019" (page ii)

The nature of econometrics and economic date -- Regression analysis with cross-sectional data. The simple regression model ; Multiple regression analysis : estimation ; Multiple regression analysis : inference ; Multiple regression analysis : OLS asymptotics ; Multiple regression analysis: further issues ; Multiple regression analysis with qualitative information ; Heteroskedasticity ; More on specification and data issues -- Regression analysis with time series data. Basic regression analysis with time series data ; Further issues in using OLS with time series data ; Serial correlation and heteroskedasticity in time series regressions -- Advances topics. Pooling cross sections across time : simple panel data methods ; Advanced panel data methods ; Instrumental variables estimation and two-stage least squares ; Simultaneous equations models ; Limited dependent variable models and sample selection corrections ; Advanced time series topics ; Carrying out an empirical project -- Math refresher A, basic mathematical tools -- Math refresher B, fundamentals of probability -- Math refresher C, fundamentals of mathematical statistics -- Advanced treatment D, summary of matrix algebra -- Advanced treatment D, the linear regression model in matrix form

Wooldridge uses a systematic approach motivated by the major problems facing applied researchers. This text provides important understanding for empirical work in many social sciences, as well as for carrying out research projects