Logit Models from Economics and Other Fields [Hardcover]

Theory of logit analysis and estimation. Includes many worked examples and large online data set.The Logit model has its origins in economics but is now used in a variety of disciplines, including medicine, epidemiology and the social sciences. In this book, Dr Cramer has given an accessible treatment of the theoretical foundations of the model as well as its application to concrete problems. It is written to intereset not only economists but to anyone working in a disciplines where it is necessary to model qualitative random variables. To aid students, the author has provided data sets on which to practice Logit analysis.The Logit model has its origins in economics but is now used in a variety of disciplines, including medicine, epidemiology and the social sciences. In this book, Dr Cramer has given an accessible treatment of the theoretical foundations of the model as well as its application to concrete problems. It is written to intereset not only economists but to anyone working in a disciplines where it is necessary to model qualitative random variables. To aid students, the author has provided data sets on which to practice Logit analysis.Originating in economics but now used in a variety of disciplines, including medicine, epidemiology and the social sciences, this book provides accessible coverage of the theoretical foundations of the Logit model as well as its applications to concrete problems. It is written not only for economists but for researchers working in disciplines where it is necessary to model qualitative random variables. J.S. Cramer has also provided data sets on which to practice Logit analysis.1. Introduction; 2. The binary model; 3. Maximum likelihood estimation of the binary logit model; 4. Some statistical tests and measures of fit; 5. Outliers, misclassification of outcomes, and omitted variables; 6. Analyses of separate samples; 7. The standard multinomial logit model; 8. Discrete choice of random utility models; 9. The origins of the lolc(