Identification for Prediction and Decision

Identification for Prediction and Decision pdf epub mobi txt 電子書 下載2025

Charles F. Manski is Board of Trustees Professor of Economics at Northwestern University.

出版者:Harvard University Press
作者:Charles F. Manski
出品人:
頁數:368
译者:
出版時間:2008-01-31
價格:USD 60.00
裝幀:Hardcover
isbn號碼:9780674026537
叢書系列:
圖書標籤:
  • econometrics 
  • 經濟學 
  • identification 
  • Economics 
  • Econometrics 
  • methodology 
  • 教材 
  • 學術女 
  •  
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This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements.Building on the foundation laid in the author's "Identification Problems in the Social Sciences" (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behaviour.Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.

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Manski在課上抱怨: 這本書的銷量mostly harmless econometrics低瞭若乾數量級(捂臉)

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能把law of total probability 和bayes rule兩個看起來這麼基礎的東西擴展成一個方嚮 manski還是很厲害的。

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老師您一個學期都在講啥我們上的是計量嗎= =

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I like the prior one better.

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Manski在課上抱怨: 這本書的銷量mostly harmless econometrics低瞭若乾數量級(捂臉)

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