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	Provedor de dados AgEcon (3) Autor Nichols, Austin (2) Margarian, Anne (1) Palavra-chave Causal inference (3) Discontinuity (2) Excluded instrument (2) Instrumental variables (2) Ivreg (2) Ivreg2 (2) Ivregress (2) Local polynomial (2) Lpoly (2) Match (2) Matching (2) Nnmatch (2) Panel (2) Propensity score (2) Psmatch2 (2) Ranktest (2) Rd (2) Regression (2) Research Methods/ Statistical Methods (2) Reweighting (2) Mais... Tipo do documento Article (2) Conference Paper or Presentation (1) Ano 2010 (1) 2008 (1) 2007 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Erratum and discussion of propensity–score reweighting AgEcon Nichols, Austin. Tipo: Article Palavras-chave: Xtreg; Psmatch2; Nnmatch; Ivreg; Ivreg2; Ivregress; Rd; Lpoly; Xtoverid; Ranktest; Causal inference; Match; Matching; Reweighting; Propensity score; Panel; Instrumental variables; Excluded instrument; Weak identification; Regression; Discontinuity; Local polynomial; Research Methods/ Statistical Methods. Ano: 2008 URL: http://purl.umn.edu/122619 Causal inference with observational data AgEcon Nichols, Austin. Problems with inferring causal relationships from nonexperimental data are briefly reviewed, and four broad classes of methods designed to allow estimation of and inference about causal parameters are described: panel regression, matching or reweighting, instrumental variables, and regression discontinuity. Practical examples are offered, and discussion focuses on checking required assumptions to the extent possible. Tipo: Article Palavras-chave: Xtreg; Psmatch2; Nnmatch; Ivreg; Ivreg2; Ivregress; Rd; Lpoly; Xtoverid; Ranktest; Causal inference; Match; Matching; Reweighting; Propensity score; Panel; Instrumental variables; Excluded instrument; Weak identification; Regression; Discontinuity; Local polynomial; Research Methods/ Statistical Methods. Ano: 2007 URL: http://purl.umn.edu/119292 Restrictions of empirical policy analyses: the example of the evaluation of rural development policies AgEcon Margarian, Anne. The present paper asks under what circumstances a standardisation of evaluations would be feasible in order to enable a comprehensible aggregation of results for the European administration. We argue that in the complex environment of rural development the adequate definition of system boundaries is a precondition for the successful application of empirical methods and the identification of causal effects. If macro effects and self-enforcing effects are important, the objects of inquiry have to be defined on a higher observational level. In this case, the statistical identification may not be possible because there might be hardly any comparable (“counterfactual”) observations. We conclude that evaluators need definite theoretical guidance in order to... Tipo: Conference Paper or Presentation Palavras-chave: Evaluation; Complex systems; Causal inference; Counterfactual approach; Community/Rural/Urban Development; O22; Q18; R58; C51. Ano: 2010 URL: http://purl.umn.edu/95320 Registros recuperados: 3 Primeira ... 1 ... Última

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