A Stata Package for the Estimation of the Dose-response Function through Adjustment for the Generalized Propensity Score

By Michela Bia, Alessandra Mattei. 2008

292 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9a6a87f5857443bfee85e26f00c085ec0b6d8b6e

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In Statistics and Probability

Citations in the corpus

Prison Visitation and Recidivism (2012, methodology): “ado program, the first step consists, as Bia and Mattei (2008) have written, of using maximum likelihood estimation to model “the conditional distribution of the treatment given the covariates” (which is analogous to predicting binary treatment outcomes in conventional propensity score matching), te”
Direct and Cross-Scheme Effects in a Research and Development Subsidy Program (2017, unknown): “2 See http://www.iwt.be/english/funding/subsidy/industrial-projects.”
The Corporate Value of (Corrupt) Lobbying (2016, unknown): “…Center for Responsive Politics for the 2004 19 The estimation of the generalized propensity score method uses the algorithm and program developed by Bia and Mattei (2008). and 2006 election cycles to calculate campaign contributions made by the individual employees and Political Action Committees…”
Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps (2012, methodology): “This is the usual approach when using the PPM estimator (Bia and Mattei, 2008).”
A Stata Package for the Application of Semiparametric Estimators of Dose–Response Functions (2014, methodology): “ado routine using two-sided t-test or Bayes Factor statistics (see also (Bia and Mattei 2008)). The second approach was proposed by Flores et al. (2012), who suggested to compare an unrestricted model for Ti including all covariates plus the GPS (up to a cubic term), with a restricted model that set”
Additionality or crowding-out? An overall evaluation of public R&D subsidy on private R&D expenditure (2016, methodology): “More details on the key assumptions and implementation of the continuous matching method are provided in Bia and Mattei (2008).”