Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Chris D. Orme"'
Publikováno v:
Halunga, A, Orme, C D & Yamagata, T 2017, ' A Heteroskedasticity Robust Breusch-Pagan Test for Contemporaneous Correlation in Dynamic Panel Data Models ', Journal of Econometrics, vol. 198, no. 2, pp. 209-230 . https://doi.org/10.1016/j.jeconom.2016.12.005
This paper proposes a heteroskedasticity-robust Breusch–Pagan test of the null hypothesis of zero cross-section (or contemporaneous) correlation in linear panel data models, without necessarily assuming independence of the cross-sections. The proce
Autor:
Wasel Shadat, Chris D. Orme
Publikováno v:
Shadat, W B & Orme, C D 2018, ' Robust Parametric Tests of Constant Conditional Correlation in a MGARCH model ', Econometric Reviews, vol. 37, no. 6, pp. 551-576 . https://doi.org/10.1080/07474938.2015.1122120
This paper provides a rigorous asymptotic treatment of new and existing asymptotically valid Conditional Moment testing procedures of the Constant Conditional Correlation assumption in a multivariate GARCH model. Full and partial Quasi Maximum Likeli
Autor:
Andreea G. Halunga, Chris D. Orme
Publikováno v:
Econometric Theory. 25:364-410
This paper develops a framework for the construction and analysis of parametric misspecification tests for generalized autoregressive conditional heteroskedastic (GARCH) models, based on first-order asymptotic theory. The principal finding is that es
Autor:
Chris D. Orme, Takashi Yamagata
Publikováno v:
The Econometrics Journal. 9:404-422
This paper employs first-order asymptotic theory in order to establish the asymptotic distribution of the F-test statistic for fixed effects, under non-normality of the errors, when N→∞ (the number of cross-sections) and T is fixed (the number of
Publikováno v:
The Econometrics Journal. 9:76-97
As shown by the results of Dufour, Khalaf, Bernard and Genest (2004, Journal of Econometrics 122, 317--347), exact tests for heteroskedasticity in linear regression models can be obtained, by using Monte Carlo (MC) techniques, if either (i) it is ass
Autor:
Takashi Yamagata, Chris D. Orme
Publikováno v:
Econometric Reviews. 24:467-481
This paper reviews and extends the literature on the finite sample behavior of tests for sample selection bias. Monte Carlo results show that, when the “multicollinearity problem” identified by Nawata (1993) is severe, (i) the t-test based on the
Autor:
Leslie G. Godfrey, Chris D. Orme
Publikováno v:
Economics Letters. 82:281-287
It is argued that the two approaches that have been suggested for improving the behaviour of heteroskedasticity-robust quasi-t tests must be combined to achieve reliability in the case of joint tests: neither is by itself sufficient.
Autor:
Chris D. Orme, Kostas Mavromaras
Publikováno v:
Journal of Applied Econometrics. 19:49-67
This paper develops and estimates a split population model for the duration of temporary layoffs in the German labour market; the population being split according to whether a layoff is temporary or permanent. A flexible piecewise constant hazard is
Autor:
Chris D. Orme, Leslie G. Godfrey
Publikováno v:
Economics Letters. 76:429-436
This paper emphasizes the sensitivity to nonnormality of the standard Chow test for predictive failure. Based on well established asymptotic arguments, a simple double bootstrap procedure is proposed, evaluated and found to be robust to nonnormality.
Autor:
Paul A. Ruud, Chris D. Orme
Publikováno v:
Economics Letters. 75:209-217
Orme [Econ. Rev. 8 (1989) 217] attempted to demonstrate that any solution to the likelihood equations for the truncated normal regression will be unique and will also be the global maximiser of the log-likelihood function. The argument rested on show