We analyse the effect of the anonymisation method multiplicative stochastic noise on the within estimation of a linear panel model. In particular, we concentrate on the panel model with serially correlated regressors. In addition to anonymisation as such, the serial correlation in a data set with only few points in time increases the bias of the within estimator and therefore must be taken into...

This paper analyzes price elasticities in the Austrian market for mobile telecommunications services using data on firm specific tariffs. Both static and a dynamic panel data approaches lead to consistent results which provide evidence for a relatively elastic demand. Furthermore, some basic facts on the Austrian mobile telephone sector are presented. JEL-Classification: C23, L13, L96.

Traditional tools of welfare economics identify the envy-related welfare loss from conspicuous consumption only under very strong assumptions. Measured income and life satisfaction offers an alternative for estimating such consumption externalities. The approach is developed in the context of luxury car consumption (Ferraris and Porsches) in Switzerland. Results from household panel data and fi...

In this paper a Bayesian approach to unit root testing for panel data models is proposed based on the comparison of stationary autoregressive models with and without individual deterministic trends, with their counterpart models with a unit autoregressive root. This is done under cross-sectional dependence among the units of the panel. Simulation experiments are conducted with the aim to assess...

This paper develops a new framework and statistical tools to analyze stock returns using high frequency data. We consider a continuous-time multi-factor model via a continuous-time multivariate regression incorporating realistic empirical features, such as persistent stochastic volatilities with leverage effects. We find that conventional regression approach often leads to misleading and incons...

In this paper we develop a dynamic discrete-time bivariate probit model, in which the conditions for Granger non-causality can be represented and tested. The conditions for simultaneous independence are also worked out. The model is extended in order to allow for covariates, representing individual as well as time heterogeneity. The proposed model can be estimated by Maximum Likelihood. Granger...

General Diagnostic Tests for Cross Section Dependence in Panels This paper proposes simple tests of error cross section dependence which are applicable to a variety of panel data models, including stationary and unit root dynamic heterogeneous panels with short T and large N. The proposed tests are based on average of pair-wise correlation coefficients of the OLS residuals from the individual r...

Dependence Measures in Bivariate Gamma Frailty Models Bivariate duration data frequently arise in economics, biostatistics and other areas. In “bivariate frailty models”, dependence between the frailties (i.e., unobserved determinants) induces dependence between the durations. Using notions of quadrant dependence, we study restrictions that this imposes on the implied dependence of the duration...

This paper examines the association between government ownership and bank stability over 1997-2010 across a sample of 103 countries. With a continuous variable to proxy for government ownership, our system GMM estimates indicate that the association between government ownership and bank stability depends on a country’s economic development and regulatory quality. In developed, high income count...