Showing 1 - 10 of 33
The BDS statistic has proved to be one of several useful nonlinear diagnostics. It has been shown to have good power …, extensive Monte Carlo results have proved it useful in relatively small samples. However, the BDS test is not trivial to … short paper presents a fast algorithm for the BDS statistic, and outlines how these speed improvements are achieved. Source …
Persistent link: https://www.econbiz.de/10005751410
's (1987) BDS-type statistics are based. The algorithm generalizes a fast algorithm due to LeBaron by calculating the histogram …
Persistent link: https://www.econbiz.de/10004966222
's (1987) BDS-type statistics are based. The algorithm generalizes a fast algorithm due to LeBaron by calculating the histogram …
Persistent link: https://www.econbiz.de/10005584891
This paper is concerned with inference about a function g that is identified by a conditional moment restriction involving instrumental variables. The function is nonparametric. It satisfies mild regularity conditions but is otherwise unknown. The paper presents test of the hypothesis that g is...
Persistent link: https://www.econbiz.de/10005509559
We consider semiparametric asymmetric kernel density estimators when the unknown density has support on [0, ¥). We provide a unifying framework which contains asymmetric kernel versions of several semiparametric density estimators considered previously in the literature. This framework allows...
Persistent link: https://www.econbiz.de/10005771843
The Cowles Commission approach is reviewed and compared to the approaches of real business cycle (RBC) theorists and new Keynesian economists. It is argued that RBC models are not tested in a serious enough way and that the new Keynesian literature is not empirical enough for testing even to be...
Persistent link: https://www.econbiz.de/10005634708
Stochastic volatility (SV) models provide a means of tracking and forecasting the variance of financial asset returns. While SV models have a number of theoretical advantages over competing variance modelling procedures they are notoriously difficult to estimate. The distinguishing feature of...
Persistent link: https://www.econbiz.de/10009437989
The literature on Markov switching models is increasing and producing interesting results both at theoretical and applied levels. Most often the number of regimes, i.e., of data generating processes, is considered known; this strong hypothesis is adopted to somewhat bypass the nuisance parameter...
Persistent link: https://www.econbiz.de/10005075732
We examine a Markov-Switching model of Singaporean GDP using a combination of formal moment-based tests and informal graphical tests. The tests confirm that the Markov-Switching model fits the data better than a linear, autoregressive alternative. The methods are extended to allow us to identify...
Persistent link: https://www.econbiz.de/10005047192
The paper provides Monte Carlo evidence on the performance of general-to-specific and specific-to-general selection of explanatory variables in linear (auto)regressions. In small samples the former is markedly inefficient in terms of ex-ante forecasting performance.
Persistent link: https://www.econbiz.de/10005082906