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Persistent link: https://www.econbiz.de/10014329821
relationships, boost competitiveness and propel India's rice exports to new heights. …
Persistent link: https://www.econbiz.de/10015386939
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
estimation and model comparison. The results based on the simulated data sets suggest that our method could achieve consistency … in both parameter estimation and model selection. -- dynamic panel data model with fixed effect ; incidental parameter … problem ; consistency in estimation ; model selection ; Bayesian model averaging ; Markov chain Monte Carlo (MCMC) …
Persistent link: https://www.econbiz.de/10003817215
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10003222502
Divergent priors are improper when defined on unbounded supports. Bartlett's paradox has been taken to imply that using improper priors results in ill-defined Bayes factors, preventing model comparison by posterior probabilities. However many improper priors have attractive properties that...
Persistent link: https://www.econbiz.de/10011382697
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
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
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10012784056
estimation error of the interactive effects; (ii) under the same set of assumptions, existing popular estimators, which eliminate …
Persistent link: https://www.econbiz.de/10012823392