Identification and Empirical Inference
Identification and Empirical Inference
批准号:
0549544
负责人:
Charles Manski
金额:
$21.13万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-08-01 至 2010-07-31
中文摘要
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英文摘要
The investigator plans to expand his recent research on treatment choice with partial knowledge of treatment response, which has developed out of his earlier work on partial identification. Part of the research willaddress general methodological questions and another part will investigate specific substantive problems ofsocial planning. He also will continue his longstanding program of research on partial identification per se.Intellectual Merit: The investigators research on identification is deliberately conservative. The traditionalway to cope with sampling processes that partially identify population parameters has been to combine theavailable data with assumptions strong enough to yield point identification. Such assumptions often are notwell motivated, and empirical researchers often debate their validity. Conservative analysis enablesresearchers to learn from the available data without imposing untenable assumptions. It enables establishmentof a domain of consensus among researchers who may hold disparate beliefs about what assumptions areappropriate. It also makes plain the limitations of the available data.The investigators analysis of treatment choice is similarly conservative. His research shows howsocial planners and other decision makers can cope coherently with difficult problems of choice underambiguity induced by identification problems and the necessity of statistical inference from sample data,without imposing untenable assumptions. This is achieved using well-established principles of statisticaldecision theory, particularly through application of the minimax-regret criterion.Broader Impacts: Many persistent public policy controversies reflect divergent beliefs about the effects ofgovernment policy on society. Such divergent beliefs are often manifest in dueling policy studies that usedifferent analytical approaches or data sources to reach different policy conclusions. Each study may makesense in its own terms, each combining data with conjectures to draw logically valid conclusions. However,there may be no way to determine which study (if either) makes realistic conjectures and which (if either)draws empirically correct conclusions. The investigators conservative approach to empirical inference andtreatment choice can enable the public to better evaluate the credibility of existing policy studies, enhancethe credibility of future policy research, and improve the quality of policymaking
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Identification and Decision
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批准号:0911181
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项目类别:Standard Grant
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资助金额:$16.48万
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财政年份:2009
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负责人:Charles Manski
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依托单位:
Identification and Empirical Inference
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批准号:0314312
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项目类别:Continuing Grant
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资助金额:$26.11万
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财政年份:2003
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负责人:Charles Manski
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依托单位:
Identification Problems in the Social Sciences
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批准号:0001436
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项目类别:Continuing Grant
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资助金额:$19.65万
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财政年份:2000
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负责人:Charles Manski
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依托单位:
Identification Problems in the Social Sciences
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批准号:9722846
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项目类别:Standard Grant
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资助金额:$28.76万
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财政年份:1997
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负责人:Charles Manski
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依托单位:
Doctoral Dissertation Research: Subjective Expectations of Employment, Earnings and Income
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批准号:9321044
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项目类别:Standard Grant
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资助金额:$1.21万
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财政年份:1994
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负责人:Charles Manski
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依托单位:
Identification Problems in the Social Sciences
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批准号:9223220
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项目类别:Continuing Grant
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资助金额:$20.42万
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财政年份:1993
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负责人:Charles Manski
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依托单位:
Econometric Analysis of Decision Making (Accomplishment Based Renewal)
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批准号:8808276
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项目类别:Continuing Grant
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资助金额:$13.85万
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财政年份:1988
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负责人:Charles Manski
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依托单位:
Econometric Analysis of Discrete Choice Models
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批准号:8605436
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项目类别:Continuing Grant
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资助金额:$7.92万
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财政年份:1986
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负责人:Charles Manski
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依托单位:
Estimation under Weak Assumptions
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批准号:8319335
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项目类别:Standard Grant
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资助金额:$6.92万
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财政年份:1984
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负责人:Charles Manski
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依托单位:
海外基金