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investigating pairwise convergence of output for $n$ countries, $n(n-1)/2$ tests are performed. We propose to control the false … convergence of per capita output using a time series definition with the necessary condition of no unit root in the log per …
Persistent link: https://www.econbiz.de/10008531718
makers would benefit if they would be given probabilities as well as values, and the methodology of stochastic simulation … Romanian Market Economy Model. In our paper we present the advantages of applying stochastic simulation on macromodels of …
Persistent link: https://www.econbiz.de/10009401315
This paper examines the performance of prediction intervals based on bootstrap for threshold autoregressive models. We … consider four bootstrap methods to account for the variability of estimates, correct the small-sample bias of autoregressive … coefficients and allow for heterogeneous errors. Simulation shows that (1) accounting for the sampling variability of estimated …
Persistent link: https://www.econbiz.de/10005835843
cohesion policy. The interest is to estimate the process of the spatial expression of the convergence and the regional growth … in the EU. The spatial statistics and the platform of simulation Geocells will allow to analyze the evolution of the GDP …
Persistent link: https://www.econbiz.de/10011111278
This paper proposes a more general definition of loss avoidance, relates it to fairness and applies it to the labor market. By influencing judgments about what is a fair wage readjustment, it can lead to coordination failures, generating downward nominal wage rigidity (DNWR) and disinflation...
Persistent link: https://www.econbiz.de/10008615623
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