In this paper we consider a variety of procedures for numerical statistical inference in the family of univariate and multivariate stable distributions. In connection with univariate distributions (i) we provide approximations by finite location-scale mixtures and (ii) versions of approximate...

Managerial ability is remarkably difficult to robustly measure, especially when unique data on firms and their managers are not available. We propose a new latent-variable model estimated with Bayesian techniques that requires only the usual accounting data on inputs and outputs and thus can be...

Use of variability of profits and other accounting-based ratios in order to estimate a firm's risk of insolvency is a well-established concept in management and economics. This paper argues that these measures fail to approximate the true level of risk accurately because managers consider other...

The objective of this paper is to identify the main determinants of non-performing loans in the euro-area banking system for the period 1990Q1-2015Q2 using GMM estimations. On top of the bank- and country-specific variables proposed by the literature the roles of income tax and output gap are...

Using inflation and return time series, we first evaluate the forecasting performance of two classes of conditional heteroscedastic models: the random coefficient autoregressive (RCAR) models and the conditional heteroscedastic autoregressive moving average (CHARMA) models. Markov Chain Monte...

We examine how bank efficiency during normal times affects survival, risk, and profitability during subsequent financial crises using data from five U.S. financial crises and preceding normal times. We find cost efficiency during normal times helps reduce bank failure probabilities, decrease...

This paper proposes an alternative estimation procedure for estimating the unobserved effects panel stochastic frontier models with endogenous regressors. Specifically, two-stage estimation method is used, where in the first stage, the frontier parameters are estimated based on GMM procedure,...

The paper examines the impact of non-pharmaceutical interventions on the initial exponential growth of the infected population and the final exponential decay of the infected population. We employ a Bayesian dynamic model to test whether there is learning, a random walk pattern, or another type...

We present and estimate a model of management practices as technology of the banking firm. Management is an unobserved (latent) input in the production function of banks, which we estimate at the bank-quarter level using data for all U.S. banks from 1984 to 2016 and Bayesian techniques. We show...