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heteroskedasticity in the series. Related extensions are provided for testing cross-correlation at various lags in bivariate time series … tests to accommodate hidden dependence and non-stationarities involving heteroskedasticity, thereby uncoupling these tests …
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We propose an Adjusted Quasi-Score (AQS) method for constructing tests for homoskedasticity in spatial econometric models. We first obtain an AQS function by adjusting the score-type function from the given model to achieve unbiasedness, and then develop an Outer-Product-of-Martingale-Difference...
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estimation, that incorporates heteroskedasticity in a natural way and does not use a generalized inverse. A Monte Carlo study … examines the performance of the statistic for different heteroskedasticity-robust variance estimators and different skedastic … empirical power, how one corrects for heteroskedasticity matters. We also compare its performance with that of the Wald …
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This paper proposes several statistical tests for finite state Markov games to examine the null hypothesis that the data are generated from a single equilibrium. We formulate tests of (i) the conditional choice probabilities, (ii) the steady-state distribution of states and (iii) the conditional...
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