art, academic and non-fiction books
publishers’ Eastern and Central European representation

Name your list

Log in / Sign in

ta strona jest nieczynna, ale zapraszamy serdecznie na stronę www.obibook.com /// this website is closed but we cordially invite you to visit www.obibook.com

ISBN: PB: 9780300251685

Yale University Press

March 2021

584 pp.

21.6x14 cm

PB:
£25,00
QTY:

Categories:

Causal Inference

The Mixtape

Causal inference encompasses the tools that allow social scientists to determine what causes what. Economists – who generally can't run controlled experiments to test and validate their hypotheses – apply these tools to observational data to make connections. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied, whether the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the introduction of malaria nets in developing regions on economic growth. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and Stata programming languages.

About the Author

Scott Cunningham is professor of economics at Baylor University. He is also co-editor of "The Oxford Handbook of the Economics of Prostitution".