The aim of this paper is to analyze the structural determinants of the total loans volume in the Czech banking sector. Analysis of five selected characteristics is realized in period 2000-2008. It used the OLS regression analysis for estimate of model. The regression analysis showed that the...

Time use researchers frequently debate whether it is more appropriate to fit censored regression (Tobit) models using maximum likelihood estimation or linear models using ordinary least squares (OLS) to explain individuals’ allocations of time to different activities as recorded in time-diary...

It is standard practice in empirical work to allow for clustering in the error covariance matrix if the explanatory variables of interest vary at a more aggregate level than the units of observation. Often, however, the structure of the error covariance matrix is more complex, with correlations...

We examine the effect of teenage childbearing on the adult outcomes of a sample of women who gave birth, miscarried or had an abortion as teenagers. If miscarriages are (conditionally) random, then if all miscarriages occur before teenagers can obtain abortions, using the absence of a...

When a rate of return is regressed on a lagged stochastic regressor, such as a dividend yield, the regression disturbance is correlated with the regressor's innovation. The OLS estimator's finite-sample properties, derived here, can depart substantially from the standard regression setting....

Although ARCH-related models have proven quite popular in finance, they are less frequently used in macroeconomic applications. In part this may be because macroeconomists are usually more concerned about characterizing the conditional mean rather than the conditional variance of a time series....