Showing 1 - 10 of 18
correlation given heteroskedasticity, as well as a conditional LM test for homoskedasticity given spatial correlation, are also … deerived. These LM tests are compared with marginal LM tests that ignore heteroskedasticity in testing for spatial correlation … conditional LM tests when spatial correlation or heteroskedasticity is present. …
Persistent link: https://www.econbiz.de/10005220946
A new gender wage gap decomposition methodology is introduced that does not suffer from the identification problem caused by unobserved non-discriminatory wage structure. The methodology is used to measure the relative size of Korean gender wage gaps from 1994 to 2000 across industries,...
Persistent link: https://www.econbiz.de/10005504092
This paper examines the consequences of model misspecification using a panel data model with spatially autocorrelated disturbances. The performance of several maximum likelihood estimators assuming different specifications for this model are compared using Monte Carlo experiments. These include...
Persistent link: https://www.econbiz.de/10005504094
This paper suggests random and fixed effects spatial two-stage least squares estimators for the generalized mixed regressive spatial autoregressive panel data model. This extends the generalized spatial panel model of Baltagi, Egger and Pfaffermayr (2013) by the inclusion of a spatial lag...
Persistent link: https://www.econbiz.de/10011269090
This paper studies the estimation of change point in panel models. We extend Bai (2010) and Feng, Kao and Lazarová (2009) to the case of stationary or nonstationary regressors and error term, and whether the change point is present or not. We prove consistency and derive the asymptotic...
Persistent link: https://www.econbiz.de/10011269093
We propose the sharp identifiable bounds of the distribution functions of potential outcomes using a panel with fixed T. We allow for the possibility that the statistical randomization of treatment assignments is not achieved until unobserved heterogeneity is properly controlled for. We use...
Persistent link: https://www.econbiz.de/10010892357
We propose a Laplace stochastic frontier model as an alternative to the traditional model with normal errors. An interesting feature of the Laplace model is that the distribution of inefficiency conditional on the composed error is constant for positive values of the composed error, but varies...
Persistent link: https://www.econbiz.de/10010795640
Inequality measures are often presented in the form of a rank ordering to highlight their relative magnitudes. However, a rank ordering may produce misleading inference, because the inequality measures themselves are statistical estimators with different standard errors, and because a rank...
Persistent link: https://www.econbiz.de/10005698335
A widely relied upon but a formally untested consideration is the issue of stability in actors underlying the term structure of interest rates. In testing for stability, practitioners as well as academics have employed ad yhoc techniques such as splitting the sample into a few sub-periods and...
Persistent link: https://www.econbiz.de/10005698340
There is a growing resource economics literature, concerning the estimation of the technical efficiency of fishing vessels utilizing the stochastic frontier model. In these models, vessel output is regressed on a linear function of vessel inputs and a random composed error. Using parametric...
Persistent link: https://www.econbiz.de/10005698353