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단행본2024년 3월 TOP 10

Causal Inference: The Mixtape

청구기호
300.72 CAU2021
발행사항
New Haven, CT : Yale University Press, 2021
형태사항
572 p
서지주기
Includes bibliographical references (p. 541-553) and index
ISBN
9780300251685
소장정보
위치등록번호청구기호 / 출력상태반납예정일
지금 이용 불가 (2)
한국노동연구원00009838대출중2024.08.28
한국노동연구원00009839대출중2024.08.28
지금 이용 불가 (2)
  • 등록번호
    00009838
    상태/반납예정일
    대출중
    2024.08.28
    위치/청구기호(출력)
    한국노동연구원
  • 등록번호
    00009839
    상태/반납예정일
    대출중
    2024.08.28
    위치/청구기호(출력)
    한국노동연구원
책 소개
<DIV>An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences<BR /> &#160;<BR />&ldquo;Causation versus correlation has been the basis of arguments&mdash;economic and otherwise&mdash;since the beginning of time. <I>Causal Inference: The Mixtape</I> uses legit real-world examples that I found genuinely thought-provoking. It&rsquo;s rare that a book prompts readers to expand their outlook; this one did for me.&rdquo;&mdash;Marvin Young (Young MC)<BR /><BR /> 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&mdash;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, 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.</DIV><br/><br/> <DIV>An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences</DIV><br/><br/>