Showing 1 - 10 of 37
orthogonality with randomization inference p-values have the correct size and reasonable power. We apply these tests to data from …
Persistent link: https://www.econbiz.de/10015097001
that the frequency of episodes of zero net employment changes is inversely related to plant size. We develop and estimate a … econometric evidence supports the existence of purely fixed components, unrelated to plant size. As a result, the range of …
Persistent link: https://www.econbiz.de/10010276026
size-distribution of plants and macroeconomic aggregates. We then quantify the relative importance of exogenous … productivity differences, and the size-dependent distortions emphasized in the misallocation literature. Our findings indicate that …
Persistent link: https://www.econbiz.de/10011420761
cycle of managers. We calibrate this model to U.S plant-size data to quantify the effects of distortions that are correlated … with the size of production units. These distortions lead to sharp reductions in plant productivity and the fraction of … quite well for properties of Japanese size-distribution data, with a model-implied TFP of about 83% of the U.S. Distortions …
Persistent link: https://www.econbiz.de/10010280700
that the frequency of episodes of zero net employment changes is inversely related to plant size. We develop and estimate a … econometric evidence supports the existence of purely fixed components, unrelated to plant size. As a result, the range of …
Persistent link: https://www.econbiz.de/10005703432
cycle of managers. We calibrate this model to U.S plant-size data to quantify the effects of distortions that are correlated … with the size of production units. These distortions lead to sharp reductions in plant productivity and the fraction of … quite well for properties of Japanese size-distribution data, with a model-implied TFP of about 83% of the U.S. Distortions …
Persistent link: https://www.econbiz.de/10009294840
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/10010267689
Making use of restrictions imposed by equilibrium, theoretical progress has been made on the nonparametric and semiparametric estimation and identification of scalar additive hedonic models (Ekeland, Heckman, and Nesheim, 2002) and scalar nonadditive hedonic models (Heckman, Matzkin, and...
Persistent link: https://www.econbiz.de/10010275775
The conditions under which ordinary least squares (OLS) is an unbiased and consistent estimator of the linear probability model (LPM) are unlikely to hold in many instances. Yet the LPM still may be the correct model or a good approximation to the probability generating process. A sequential...
Persistent link: https://www.econbiz.de/10005761635
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/10005762292