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Details about Michela Bia

E-mail:
Workplace:Centre for Population, Poverty and Public Policy Studies / International Networks for Studies in Technology, Environment, Alternatives, Development (CEPS/INSTEAD), (more information at EDIRC)
Dipartimento di Politiche Pubbliche e Scelte Collettive (POLIS) (Department of Public Policies and Public Choice), Università del Piemonte Orientale "Amedeo Avogadro" (Amadeo Avogadro University of the Eastern Piedmont), (more information at EDIRC)

Access statistics for papers by Michela Bia.

Last updated 2012-12-06. Update your information in the RePEc Author Service.

Short-id: pbi111


Jump to Journal Articles Software Items

Working Papers

2011

  1. Nonparametric Estimators of Dose-Response Functions
    CEPS/INSTEAD Working Paper Series, CEPS/INSTEAD Downloads

2010

  1. Young-in Old-out: a new evaluation
    TEPP Working Papers, TEPP Fédération de Recherche Travail Emploi et Politiques Publiques Downloads

2009

  1. Young in-Old out: a new evaluation based on Generalized Propensity Score
    LABORatorio R. Revelli Working Papers Series, LABORatorio R. Revelli, Centre for Employment Studies Downloads

2007

  1. Application of the Generalized Propensity Score. Evaluation of public contributions to Piedmont enterprises
    POLIS Working Papers, Institute of Public Policy and Public Choice - POLIS Downloads View citations (11)
  2. The Propensity Score method in public policy evaluation: a survey
    POLIS Working Papers, Institute of Public Policy and Public Choice - POLIS Downloads View citations (12)

Journal Articles

2011

  1. Uno studio economico-territoriale del Nord-Ovest italiano tramite l’analisi delle componenti principali
    RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, 2011, 2011/1, (1), 43-81 Downloads

2008

  1. A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score
    Stata Journal, 2008, 8, (3), 354-373 Downloads View citations (10)

Software Items

2009

  1. DOSERESPONSE: Stata module to estimate dose-response function through adjustment for the generalized propensity score
    Statistical Software Components, Boston College Department of Economics Downloads
 
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