Contents
PART I. Elementary statistical analysis:
Introduction;
Descriptive statistics;
Correlation;
Simple linear regression;
PART II. Samples and inductive statistics:;
Standard errors and confidence intervals;
Hypothesis testing;
Non-parametric tests;
PART III. Multiple linear regression:;
Multiple relationship;
Classical linear regression model;
Dummy variables and lagged values;
PART IV. Further topics in regression analysis:
Violating the assumptions of the classical model;
Non-linear models and functional forms;
Logit, probit, and tobit models;
PART V. Specifying and interpreting models: four case studies:
Case studies 1 and 2: unemployment in Britain and emigration from Ireland;
Case studies 3 and 4: the Old Poor Law in England and leaving home in the United States, 1850-60;
Appendix A. Four data sets;
Appendix B. Index numbers