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This paper characterizes the impact of serial dependence on the non-asymptotic estimation error bound of penalized regressions (PRs). Focusing on the direct relationship between the degree of cross-correlation of covariates and the estimation error bound of PRs, we show that orthogonal or weakly...
Persistent link: https://www.econbiz.de/10013336165
We propose an iterative procedure to efficiently estimate models with complex log-likelihood functions and the number of parameters relative to the observations being potentially high. Given consistent but inefficient estimates of sub-vectors of the parameter vector, the procedure yields...
Persistent link: https://www.econbiz.de/10010237679
. In order to describe such situations, copula-based models have been studied during the last year. In this paper, we …
Persistent link: https://www.econbiz.de/10010238359
We propose an iterative procedure to efficiently estimate models with complex log-likelihood functions and the number of parameters relative to the observations being potentially high. Given consistent but inefficient estimates of sub-vectors of the parameter vector, the procedure yields...
Persistent link: https://www.econbiz.de/10010235324
gravity equations are estimated by Copula-based Markov switching seemingly unrelated regression approach. The best …'s t copula is applied for joint distribution. Analyzing the bilateral trade flow is separated into two situations, namely …
Persistent link: https://www.econbiz.de/10012168770
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test to detect when tail dependence is truly high{dimensional and bivariate simplifications would produce misleading results. This occurs when a significant portion of the...
Persistent link: https://www.econbiz.de/10010402973
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test for detecting situations when such pairwise measures are inadequate and give incomplete results. This occurs when a significant portion of the multivariate dependence...
Persistent link: https://www.econbiz.de/10011414706
fundamental characteristic. We compare our empirical findings with a single Gaussian copula, a correlation-weighted average of … Gaussian copulas, the K-copula which directly addresses the nonstationarity of dependencies as a model parameter, and the … skewed Student's t-copula. The K-copula covers the empirical dependence structure on the local scale most adequately, whereas …
Persistent link: https://www.econbiz.de/10012842121
Statistical Analysis in surveys is often facing missing data. As case-wise deletion and single imputation prove to have undesired properties, multiple imputation remains as a measure to handle this problem. In a longitudinal study, where for some missing values past or future data points might...
Persistent link: https://www.econbiz.de/10010483239
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