Making History Count: A Primer in

This authoritative guide to the use of quantitative methods is designed to be used as the basic text for graduate courses, and is also suitable for upper-level students. Making History Count is written by two senior economic historians with considerable international teaching experience. The text is clearly illustrated with numerous tables, graphs and diagrams, leading the student through the various key topics. It is supported by five specific historical data-sets, available electronically in downloadable and manipulable form.

Part I. Elementary Statistical Analysis: 1. Introduction
2. Descriptive statistics
3. Correlation
4. Simple linear regression
Part II. Samples and Inductive Statistics: 5. Standard errors and confidence intervals
6. Hypothesis testing
7. Non-parametric tests
Part III. Multiple Linear Regression: 8. Multiple relationships
9. The classical linear regression model
10. Dummy variables and lagged values
Part IV. Further Topics in Regression Analysis: 11. Violating the assumptions of the classical model
12. Non-linear models and functional forms
13. Logit, probit, and tobit models
Part V. Specifying and Interpreting Models: Four Case Studies: 14. Case studies 1 and 2: unemployment in Britain and emigration from Ireland
15. Case studies 3 and 4: the Old Poor Law in England and leaving home in the United States, 1850-60
Appendix A. The four data sets
Appendix B. Index numbers
Index.

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Making History Count: A Primer in Quantitative Methods for Historians

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Table of Contents

Supplemental Materials