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Temporal aggregation in general introduces a moving average (MA) component in the aggregated model. A similar feature emerges when not all but only a few variables are aggregated, which generates a mixed frequency model. The MA component is generally neglected, likely to preserve the possibility...
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possible, when the dependent variable of the underlying nested error regression model, is censored to specific intervals. This … of the regression parameters of the nested error regression model using interval censored data. The introduced method is …
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. The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent … approach is currently under scrutiny again. In particular, the assumptions behind the linear logistic regression provide … critics with a target. Previous literature has converted the calibration problem into a regression task without any loss of …
Persistent link: https://www.econbiz.de/10012876151
The beta dispersion, which is the spread of betas on a stock market, can be interpreted as a measure of market vulnerability. This study examines the economic idea of the beta dispersion and its application as a market return predictor. Based on the empirical beta dispersion observed in the US...
Persistent link: https://www.econbiz.de/10012264452
We develop a new Bayesian estimator that is able to deal with multivariate panel data structure in the presence of spatial correlation. The analysis of panel data introduced here allows us to analyze not only the fixed effect but also the random effect model. This work extends the previous study...
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Space-varying regression models are generalizations of standard linear models where the regression coefficients are …
Persistent link: https://www.econbiz.de/10012007896