000			01868nam a22002297a 4500
005			20240505194044.0
008			240505b |||||||| |||| 00| 0 eng d
020			_a9780300251685
028			_a: Zafaa Books & Distributors _b: 313/103A, H.No. 15, Tulsi Nagar, Inderlok, Delhi _c: ZBD0016 _d: 02/05/2024
082			_a300.72 CUN
100			_aCunningham, Scott.
245			_aCausal Inference _b: The Mixtape. _c/ Scott Cunningham
260			_a, New Haven _b: Yale University Press _c, 2021.
300			_ax,572p. _c: 22cm.
365			_b2115
520			_aAn accessible, contemporary introduction to the methods for determining cause and effect in the social sciences “Causation versus correlation has been the basis of arguments―economic and otherwise―since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”―Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied―for example, 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 influence on economic growth of introducing malaria nets in developing regions. 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 the Stata programming languages.
650			_aThe Mixtape
650			_aCausal Inference
650			_aSocial sciences
700			_aScott Cunningham
942			_cBOOK
999			_c61542 _d61542