×







We sell 100% Genuine & New Books only!

Causal Inference The Mixtape at Meripustak

Causal Inference The Mixtape by Scott Cunningham , Yale University Press

Books from same Author: Scott Cunningham

Books from same Publisher: Yale University Press

Related Category: Author List / Publisher List


  • Price: ₹ 3021.00/- [ 7.00% off ]

    Seller Price: ₹ 2809.00

Estimated Delivery Time : 4-5 Business Days

Sold By: Meripustak      Click for Bulk Order

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

We deliver across all postal codes in India

Orders Outside India


Add To Cart


Outside India Order Estimated Delivery Time
7-10 Business Days


  • We Deliver Across 100+ Countries

  • MeriPustak’s Books are 100% New & Original
  • General Information  
    Author(s)Scott Cunningham
    PublisherYale University Press
    ISBN9780300251685
    Pages584
    BindingPaperback
    LanguageEnglish
    Publish YearFebruary 2021

    Description

    Yale University Press Causal Inference The Mixtape by Scott Cunningham

    An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences_x000D__x000D_"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)_x000D__x000D_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._x000D_show more



    Book Successfully Added To Your Cart