Cunningham, Scott Additional Author mixed material bibliography New Haven Yale University Press 2021 en English

Textbook

x, 572 pages : illustrations (black and white) ; 2 An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences 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 501 9780300251685 e-Library Universitas Pertamina Be Global Leader 501 CUN c 50110157 Perpustakaan Universitas Pertamina 501 CUN c c.1 Causal_Inference.jpg 7815 2023-11-27 16:00:30 2023-11-29 18:07:39 machine generated