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Sequential Matching Estimation of Dynamic Causal Models
Lechner, Michael - 2021
This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic causal effects …. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal … estimators perform well in small and medium size samples. Based on the application of the sequential matching estimators to an …
Persistent link: https://www.econbiz.de/10013319454
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Correlation and efficiency of propensity score-based estimators for average causal effects
Pingel, Ronnie; Waernbaum, Ingeborg - 2015
matching, inverse probability weighting and doubly robust estimators change under the case of correlated covariates …
Persistent link: https://www.econbiz.de/10010479992
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The estimation of multi-dimensional fixed effects panel data models
Balazsi, Laszlo; Mátyás, László; Wansbeek, Tom - 2015
The paper introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then...
Persistent link: https://www.econbiz.de/10010492323
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Nonparametric Regression Using Clusters
Vinod, Hrishikesh D. - 2017
We present a fundamentally unique method of nonparametric regression using clusters and test it against classically established methods. We compare two nonlinear regression estimation packages called ‘NNS', Viole (NNS: nonlinear nonparametric statistics, 2016), and ‘np', Hayfield and Racine...
Persistent link: https://www.econbiz.de/10012967797
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A Note on Regressions with Interval Data on a Regressor
Cerquera, Daniel; Laisney, Francois; Ullrich, Hannes - 2014
Motivated by Manski and Tamer (2002) and especially their partial identification analysis of the regression model where one covariate is only interval-measured, we present two extensions. Manski and Tamer (2002) propose two estimation approaches in this context, focussing on general results. The...
Persistent link: https://www.econbiz.de/10014141412
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A Note on Regressions with Interval Data on a Regressor
Cerquera, Daniel; Laisney, Francois; Ullrich, Hannes - 2015
We reconsider the partial identification analysis of the regression model in Manski and Tamer (2002) where one covariate is only interval-measured and present two additional sets of results. Manski and Tamer (2002) propose two estimation approaches in this context, focussing on general results....
Persistent link: https://www.econbiz.de/10014143561
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Dynamically Controlled Kernel Estimation
Kienitz, Joerg; Nowaczyk, Nikolai; Geng, Nancy(Qingxin) - 2021
We introduce a data driven and model free approach for computing conditional expectations. The new method is based on classical techniques combined with machine learning methods. In particular, we consider kernel density estimation based on simulated risk factors combined with a control variate....
Persistent link: https://www.econbiz.de/10013231705
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The Estimation of Multi-Dimensional Fixed Effects Panel Data Models
Balazsi, Laszlo - 2015
The paper introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then...
Persistent link: https://www.econbiz.de/10013024591
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The Impact of Effect Size Heterogeneity on Meta-Analysis: A Monte Carlo Experiment
Koetse, Mark J.; Florax, Raymond J.G.M.; de Groot, … - 2007
In this paper we use Monte Carlo simulation to investigate the impact of effect size heterogeneity on the results of a meta-analysis. Specifically, we address the small sample behaviour of the OLS, the fixed effects regression and the mixed effects meta-estimators under three alternative...
Persistent link: https://www.econbiz.de/10010325529
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Effects of correlated covariates on the efficiency of matching and inverse probability weighting estimators for causal inference
Pingel, Ronnie; Waernbaum, Ingeborg - 2013
efficiency of matching and inverse probability weighting estimators for average causal effects change when the covariates are …
Persistent link: https://www.econbiz.de/10010321111