STATISTICS FOR HISTORIANS COURSE
UNIT 7: (MORE) ADVANCED REGRESSION

Lecture A: Further Correlation and Linear Regression

This session runs in an interactive notebook on MyBinder. Click for more information on how to access and run a notebook. An overview of all interactive materials is available here.

This session has a closer look at modelling the relation between different variables. The first notebook (click here) discusses how to compute and interpret correlation coefficients and then continue with a gentle introduction to linear regression. The goal is to understand variation in lifespans in late-Victorian London. We try to understand if residents in more affluent boroughs tend to live longer?

Lecture B: Generalised Linear Models

This session runs in an interactive notebook on MyBinder. Click for more information on how to access and run a notebook. An overview of all interactive materials is available here.

The second notebook on linear regression turns to more advanced techniques: Generalised Linear Models (GLMs). We use GLMs to model and predict count outcomes. We explore two case studies in detail: a) gender bias in university applications and b) gender and participation in the British House of Commons.

KEY READINGS
* Konrad Jarausch, Kenneth Hardy, Quantitative Methods for Historians: A Guide to Research, Data, & Statistics (1991)
* Roderick Floud, An Introduction to Quantitative Methods for Historians (1973)
* Paul Kellstedt, Guy Whitten, The Fundamentals of Political Science Research (2008)
* Robert Fogel and Geoffrey Elton, Which Road to the Past? Two Views of History (1984)
[This book is a debate between an outspoken quantifier, and historian critical of quantification]

EXERCISES
Exercises are integrated into the above lectures.