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 …

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 …

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 …

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 …

. We then use the variance ratio profile together with a Monte Carlo simulation for the selection of models with potential … (2005) amounting to 26,410 simulated strategies. Finally, using the bootstrap methodology, with 1,000 simulations, we find …

-sized samples, especially as (depending on properties of the spatial weight matrix) the usual parametric rate of convergence may not … be attained. We thus develop tests with more accurate size properties, by means of Edgeworth expansions and the bootstrap …

This paper investigates the asymptotic validity of the bootstrap for Durbin-Wu-Hausman (DWH) specification tests when … instrumental variables (IVs) may be arbitrary weak. It is shown that under strong identification, the bootstrap offers a better … approximation than the usual asymptotic chi-square distributions. However, the bootstrap provides only a first-order approximation …