Prominent social scientists describe quantitative models in economics, history, sociology, political science, and psychology.
Social scientists become experts in their own disciplines but aren't always familiar with what is going on in neighboring fields. To foster a deeper understanding of the interconnection of the social sciences, economists should know where historical data come from, sociologists should know how to think like economists, political scientists would benefit from understanding how models are tested in psychology, historians should learn how political processes are studied, psychologists should understand sociological theories, and so forth. This overview by prominent social scientists gives an accessible, non-technical sense of how quantitative research is done in different areas. Readers will find out about models and ways of thinking in economics, history, sociology, political science, and psychology, which in turn they can bring back to their own work.
1. Models and methods in the social sciences Andrew Gelman; 2. History Herbert Klein and Charles Stockley; 3. Economics Richard Clarida and Marta Noguer; 4. Sociology Seymour Spilerman and Emanuele Gerratana; 5. Political science Charles Cameron; 6. Psychology E. Tory Higgins, Elke Weber, and Heidi Grant; 7. To treat or not to treat: casual inference in the social science Jeronimo Cortina.