Results 61 to 70 of about 218,072 (208)
Revista Brasileira de Estudos de PopulaçãoEste artigo tem por objetivo estimar o impacto da frequência ao ensino infantil na proficiência dos alunos do ensino fundamental público no Brasil, utilizando como proxy as notas dos alunos em português e matemática disponíveis na Prova Brasil 2011.
Walcir Soares da Silva Junior +1 more
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Employment Effects of Service Offshoring: Evidence from Matched Firms [PDF]
This paper studies the e¤ects of service o¤shoring on the level and skill composition of domestic employment, using a rich data set of Italian rms and propensity score matching techniques.
Rosario Crinò
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Balancing Score Adjusted Targeted Minimum Loss-based Estimation [PDF]
, 2013 Adjusting for a balancing score is sufficient for bias reduction when estimating causal effects including the average treatment effect and effect among the treated. Estimators that adjust for the propensity score in a nonparametric way, such as matching
Fireman, Bruce +2 more
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Schweizerische Zeitschrift für Bildungswissenschaften, 2019 Die vorliegende Längsschnittstudie (N = 950) untersucht mithilfe von Propensity Score Matching, ob vergleichbare Schülerinnen und Schüler im Verlauf der Sekundarstufe I in Abhängigkeit des besuchten Schultyps unterschiedliche Leistungszuwächse in Deutsch
Domenico Angelone
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A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples [PDF]
The probability of selection into treatment plays an important role in matching and selection models. However, this probability can often not be consistently estimated, because of choice-based sampling designs with unknown sampling weights.
Heckman, James J., Todd, Petra E.
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New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators [PDF]
Currently available asymptotic results in the literature suggest that matching estimators have higher variance than reweighting estimators. The extant literature comparing the finite sample properties of matching to specific reweighting estimators ...
Busso, Matias +2 more
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Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs [PDF]
This paper uses propensity score methods to address the question: how well can an observational study estimate the treatment impact of a program? Using data from Lalonde's (1986) influential evaluation of non-experimental methods, we demonstrate that ...
Rajeev H. Dehejia, Sadek Wahba
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Impact Evaluation of Raskin Program using Matching Method: Case of IFLS 5
JEJAK: Jurnal Ekonomi dan Kebijakan, 2018 Beras untuk Keluarga Miskin (RASKIN) program has been applied since 1998 and has been renamed as Beras Sejahtera (RASTRA) in early 2017, but their effectiveness is still debatable.
Endiarjati Dewandaru Sadono
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Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
, 2018 The two-stage process of propensity score analysis (PSA) includes a design stage where propensity scores are estimated and implemented to approximate a randomized experiment and an analysis stage where treatment effects are estimated conditional upon the
Liao, Shirley, Zigler, Corwin
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Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization
Journal of Biostatistics and EpidemiologyObjective: To estimate the effectiveness of two-dose COVID-19 vaccination in reducing hospitalization, accounting for complex confounding factors in observational studies.
Mohammad Taghi Shakeri +3 more
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