Showing 1 - 10 of 58
We prove the uniqueness of linear i.i.d. representations of heavy-tailed processes whose distribution belongs to the domain of attraction of an $\alpha$-stable law, with $\alpha2$. This shows the possibility to identify nonparametrically both the sequence of two-sided moving average coefficients...
Persistent link: https://www.econbiz.de/10011107938
This paper considers a partially linear model of the form y = x beta + g(t) + e, where beta is an unknown parameter vector, g(.) is an unknown function, and e is an error term. Based on a nonparametric estimate of g(.), the parameter beta is estimated by a semiparametric weighted least squares...
Persistent link: https://www.econbiz.de/10011112439
This paper considers the maximum generalized empirical likelihood (GEL) estimation and inference on parameters identified by high dimensional moment restrictions with weakly dependent data when the dimensions of the moment restrictions and the parameters diverge along with the sample size. The...
Persistent link: https://www.econbiz.de/10011111343
treated in the compilation of a house price index. An empirical bootstrap study, based on advertised co-operative flats in …
Persistent link: https://www.econbiz.de/10011258955
cannot be considered as reliable measures. The DEA Bootstrap addresses this limitation of the DEA method as it provides the … efficiency scores with stochastic properties. However, the DEA Bootstrap is still inappropriate in the presence of small samples …. In this context, we introduce a new method that draws on random data generation procedures, unlike Bootstrap which is …
Persistent link: https://www.econbiz.de/10011260496
an adverse impact on the efficiency level of state-owned banks. The bootstrap approach demonstrates that the majority of …
Persistent link: https://www.econbiz.de/10011260807
This paper utilizes the bootstrap to construct tests using the measures for goodness-of-fit for nonnested regression … models. The bootstrap enables us to compute the statistical significance of the differences in the measures and to formally … test on nonnested regression models. The bootstrap tests that this paper proposes are expected to show better finite sample …
Persistent link: https://www.econbiz.de/10005260238
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar andWilson (2008). We assess the finite sample performance...
Persistent link: https://www.econbiz.de/10009322640
The paper presents the methodology for attaching probability distribution or intervals of variation to point forecasts. This methodology might prove significant for countries that have suffered deep structural transformations in their not very distant past. For these models, stability is more...
Persistent link: https://www.econbiz.de/10009401315
In this paper we use a two stage procedure, based on bias corrected DEA, to evaluate the impacts of regulatory reforms on technical efficiency of 28 Italian airports during the period 2000–2006. We employ two different DEA models: physical and monetary. The first relies on the aeronautical...
Persistent link: https://www.econbiz.de/10009360280