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Persistent link: https://www.econbiz.de/10011741310
Purpose - To discuss subcopula estimation for discrete models. Design/methodology/approach - The convergence of estimators is considered under the weak convergence of distribution functions and its equivalent properties known in prior works. Findings - The domain of the true subcopula associated...
Persistent link: https://www.econbiz.de/10012694803
This paper characterizes the impact of serial dependence on the non-asymptotic estimation error bound of penalized … cross-correlations caused by serial dependence. In this respect, we study analytically the density of sample cross …
Persistent link: https://www.econbiz.de/10013336165
Permutation techniques, where one recompute the test statistic over permutations of data, have a long history in statistics and have become increasingly useful as the availability of computational power has increased. Until now, no permutation tests for examining returns to scale assumptions,...
Persistent link: https://www.econbiz.de/10013338075
This paper (i) derives a number of properties of a newly specified multi-input-single-output (MISO) production function with a derived error term, and (ii) using iteratively rescaled generalized least squares, presents estimates of the cross-sectionally varying coefficients of a...
Persistent link: https://www.econbiz.de/10013404424
We provide a methodology for testing a polynomial model hypothesis by extending the approach and results of Baek, Cho, and Phillips (2015; Journal of Econometrics; BCP) that tests for neglected nonlinearity using power transforms of regressors against arbitrary nonlinearity. We examine and...
Persistent link: https://www.econbiz.de/10014123918
We develop a method of testing linearity using power transforms of regressors, allowing for stationary processes and time trends. The linear model is a simplifying hypothesis that derives from the power transform model in three different ways, each producing its own identification problem. We...
Persistent link: https://www.econbiz.de/10013075933
When benchmarking production units by non-parametric methods like data envelopment analysis (DEA), an assumption has to be made about the returns to scale of the underlying technology. Moreover, it is often also relevant to compare the frontiers across samples of producers. Until now, no exact...
Persistent link: https://www.econbiz.de/10012132662
This paper employs methodologies that were developed for heavy right-tailed distributions to construct the point and interval estimates of the expected operational losses in the US. These are consistent and unbiased estimates of the mean of the heavy right-tailed loss distribution, whereas those...
Persistent link: https://www.econbiz.de/10013138983
This paper deals with estimating peaked densities over the interval [0,1] using the Uneven Two-Sided Power Distribution (UTP). This distribution is the most complex of all the bounded power distributions introduced by Kotz and van Dorp (2004). The UTP maximum likelihood estimator, a result not...
Persistent link: https://www.econbiz.de/10013144110