Aaron Smith is Professor of Agricultural and Resource Economics at the University of California, Davis. His research focuses on government policy, prices, and trading in agricultural, energy, and financial markets. His research has won the awards for Quality of Communication, Quality of Research Discovery, and Outstanding American Journal of Agricultural Economics Article, all from the Agricultural and Applied Economics Association (AAEA). J. Edward Taylor is Professor of Agricultural and Resource Economics at the University of California, Davis. He has published more than 130 articles, book chapters, and books on topics ranging from international trade to ecotourism, immigration, and rural poverty. He has won research awards from the AAEA and teaching awards from UC Davis. He is listed in Who's Who in Economics as one of the world's most cited economists. A former editor of the American Journal of Agricultural Economics, he has worked on projects with the United Nations, the World Bank, and other agencies, as well as a number of foreign governments.

• Preface Acknowledgments About the Authors 1 Introduction to Econometrics 2 Simple Regression 3 Multiple Regression 4 Generalizing from a Sample 5 Properties of Our Estimators 6 Hypothesis Testing and Confidence Intervals 7 Predicting in a Nonlinear World 8 Best of BLUE I: Cross-Section Data and Heteroskedasticity (Assumption CR2) 9 Best of Blue II: Correlated Errors (Assumption CR3) 10 Sample Selection Bias (Assumption CR1) 11 Identifying Causation 12 Instrumental Variables: A Solution to the Endogeneity Problem Appendix: Critical Values for Commonly Used Tests in Econometrics Notes

Aaron Smith is Professor of Agricultural and Resource Economics at the University of California, Davis. His research focuses on government policy, prices, and trading in agricultural, energy, and financial markets. His research has won the awards for Quality of Communication, Quality of Research Discovery, and Outstanding American Journal of Agricultural Economics Article, all from the Agricultural and Applied Economics Association (AAEA). J. Edward Taylor is Professor of Agricultural and Resource Economics at the University of California, Davis. He has published more than 130 articles, book chapters, and books on topics ranging from international trade to ecotourism, immigration, and rural poverty. He has won research awards from the AAEA and teaching awards from UC Davis. He is listed in Who's Who in Economics as one of the world's most cited economists. A former editor of the American Journal of Agricultural Economics, he has worked on projects with the United Nations, the World Bank, and other agencies, as well as a number of foreign governments.

• Preface Acknowledgments About the Authors 1 Introduction to Econometrics 2 Simple Regression 3 Multiple Regression 4 Generalizing from a Sample 5 Properties of Our Estimators 6 Hypothesis Testing and Confidence Intervals 7 Predicting in a Nonlinear World 8 Best of BLUE I: Cross-Section Data and Heteroskedasticity (Assumption CR2) 9 Best of Blue II: Correlated Errors (Assumption CR3) 10 Sample Selection Bias (Assumption CR1) 11 Identifying Causation 12 Instrumental Variables: A Solution to the Endogeneity Problem Appendix: Critical Values for Commonly Used Tests in Econometrics Notes

Aaron Smith is Professor of Agricultural and Resource Economics at the University of California, Davis. His research focuses on government policy, prices, and trading in agricultural, energy, and financial markets. His research has won the awards for Quality of Communication, Quality of Research Discovery, and Outstanding American Journal of Agricultural Economics Article, all from the Agricultural and Applied Economics Association (AAEA). J. Edward Taylor is Professor of Agricultural and Resource Economics at the University of California, Davis. He has published more than 130 articles, book chapters, and books on topics ranging from international trade to ecotourism, immigration, and rural poverty. He has won research awards from the AAEA and teaching awards from UC Davis. He is listed in Who's Who in Economics as one of the world's most cited economists. A former editor of the American Journal of Agricultural Economics, he has worked on projects with the United Nations, the World Bank, and other agencies, as well as a number of foreign governments.

• Preface Acknowledgments About the Authors 1 Introduction to Econometrics 2 Simple Regression 3 Multiple Regression 4 Generalizing from a Sample 5 Properties of Our Estimators 6 Hypothesis Testing and Confidence Intervals 7 Predicting in a Nonlinear World 8 Best of BLUE I: Cross-Section Data and Heteroskedasticity (Assumption CR2) 9 Best of Blue II: Correlated Errors (Assumption CR3) 10 Sample Selection Bias (Assumption CR1) 11 Identifying Causation 12 Instrumental Variables: A Solution to the Endogeneity Problem Appendix: Critical Values for Commonly Used Tests in Econometrics Notes