Large-dimensional dynamic factor models and dynamic stochastic general equilibrium models, both widely used in empirical macroeconomics, deal with singular stochastic vectors, i.e., vectors of dimension r which are driven by a q-dimensional white noise, with q r. The present paper studies...

This article compares two asymmetric Gaussian likelihood models and their corresponding estimators. Recently, there has been confusion in the literature regarding these models and: (1) whether they are the same, or (2) whether both of them can be used to estimate expectiles. After the...

We show that, in practice, the standard unit root tests, cointegration tests, and similar tests are unreliable. This conclusion is more generally applicable to other regression-based tests. In particular, these tests attempt to solve a problem by creating another problem

In some survival analysis, characterizing tail properties is of vital importance because of the huge economic cost associated with the large duration samples. In this paper, I study asymptotic properties in bivariate survival models with bivariate heterogeneity (frailty).I derive the appropriate...

We extend the maximum likelihood estimation method of Ait-Sahalia (2002) for time-homogeneous diffusions to time-inhomogeneous ones. We derive a closed-form approximation of the likelihood function for discretely sampled time-inhomogeneous diffusions, and prove that this approximation converges...

We extend the maximum likelihood estimation method of Ait-Sahalia (2002) for time-homogeneous diffusions to time-inhomogeneous ones. We derive a closed-form approximation of the likelihood function for discretely sampled time-inhomogeneous diffusions, and prove that this approximation converges...

We characterize the quasi-likelihood functions that may elicit expectiles and find that the family has a unique representation under standard conditions for linear regression. The only distribution that elicits expectiles as its quasi-maximum likelihood estimator under general conditions is an...

При оценивании производственных функций исследователь сталкивается с рядом проблем, которые в наиболее общем виде можно разделить на две группы: проблемы,...

We study the correct estimation of the true variance of the predictor in stochastic Kriging (SK). First, we obtain macroreplications for a SK metamodel that approximates a single-server simulation model; these macroreplications give independently and identically distributed predictions. This...

Expectile regression produces the best linear unbiased estimator for regression lines other than the mean regression in model designs with asymmetric conditional variance of the error term. In some cases where OLS assumptions are violated, an expectile regression estimator is also the BLUE for...