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A new approach to estimating private returns to R&D
Cappelen, Ådne; Mohnen, Pierre A.; Raknerud, Arvid; … - 2023
This paper revisits the estimation of private returns to R&D. In an extension of the standard approach, we allow for endogeneity of production decisions, heterogeneity of R&D elasticities, and asymmetric treatment of intramural and extramural R&D. Our empirical analyses are based on an extended...
Persistent link: https://www.econbiz.de/10014335229
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Estimating the local average treatment effect of R&D subsidies in a pan-European program
Hünermund, Paul; Czarnitzki, Dirk - 2016
We investigate the effect of Europe's largest multilateral subsidy program for R&D-performing, small and medium-sized enterprises on firm growth. The program was organized under a specific budget allocation rule, referred to as Virtual Common Pot (VCP), which is designed to avoid...
Persistent link: https://www.econbiz.de/10011459337
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Visualizing count data regressions using rootograms
Kleiber, Christian; Zeileis, Achim - 2014
We show how the rootogram - a graphical tool associated with the work of J. W. Tukey and originally used for assessing goodness of fit of univariate distributions - can help to diagnose and treat issues such as overdispersion and/or excess zeros in regression models for count data. Two empirical...
Persistent link: https://www.econbiz.de/10010385052
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New evidence on the finite sample properties of propensity score matching and reweighting estimators
Busso, Matias; DiNardo, John; McCrary, Justin - 2009
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, however, has concluded that reweighting performs far worse than even the simplest matching estimator. We resolve this …
Persistent link: https://www.econbiz.de/10010268994
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Model averaging in semiparametric estimation of treatment effects
Kitagawa, Toru; Muris, Chris - 2015
In the practice of program evaluation, choosing the covariates and the functional form of the propensity score is an important choice that the researchers make when estimating treatment effects. This paper proposes a data-driven way of averaging the estimators over the candidate specifications...
Persistent link: https://www.econbiz.de/10011309717
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Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies
Advani, Arun; Słoczyński, Tymon - 2013
In this paper we evaluate the premise from the recent literature on Monte Carlo studies that an empirically motivated simulation exercise is informative about the actual ranking of various estimators when applied to a particular problem. We consider two alternative designs and provide an...
Persistent link: https://www.econbiz.de/10010229930
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New evidence on linear regression and treatment effect heterogeneity
Słoczyński, Tymon - 2015
It is standard practice in applied work to rely on linear least squares regression to estimate the effect of a binary variable ("treatment") on some outcome of interest. In this paper I study the interpretation of the regression estimand when treatment effects are in fact heterogeneous. I show...
Persistent link: https://www.econbiz.de/10011387124
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Outliers in semi-parametric estimation of treatment effects
Canavire-Bacarreza, Gustavo; Castro, Luis; Ontiveros, … - In: Econometrics : open access journal 9 (2021) 2, pp. 1-32
paper, we use Monte Carlo simulations to demonstrate that semi-parametric methods, such as matching, are biased in the …
Persistent link: https://www.econbiz.de/10012547410
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Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies
Advani, Arun; Kitagawa, Toru; Słoczyński, Tymon - 2018 - This version: September 21, 2018
Currently there is little practical advice on which treatment effect estimator to use when trying to adjust for observable differences. A recent suggestion is to compare the performance of estimators in simulations that somehow mimic the empirical context. Two ways to run such "empirical Monte...
Persistent link: https://www.econbiz.de/10011912535
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Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies
Advani, Arun; Kitagawa, Toru; Słoczyński, Tymon - 2018
Currently there is little practical advice on which treatment effect estimator to use when trying to adjust for observable differences. A recent suggestion is to compare the performance of estimators in simulations that somehow mimic the empirical context. Two ways to run such 'empirical Monte...
Persistent link: https://www.econbiz.de/10011916665