The Impact of Sickness Absenteeism on Firm Productivity: New Evidence from Belgian Matched Employer–Employee Panel Data

Using rich longitudinal matched employer–employee data for Belgium, we provide a first investigation of the impact of sickness absenteeism on firms’ productivity. To do so, we estimate a production function augmented with a firm-level measure of sickness absenteeism that we constructed from worker-level information on nonworked hours due to illness or injury. We deal with the endogeneity of inputs and sickness absenteeism by applying a modified version of the semiparametric control function method developed by Ackerberg, Caves, and Fraser (2015), which explicitly takes firm fixed unobserved heterogeneity into account. Our main finding is that, in general, sickness absenteeism substantially dampens firms’ productivity. However, further analyses show that the impact varies according to several workforce and firm characteristics. Sickness absenteeism is more detrimental to firm productivity when absent workers are high tenure or blue collar. Moreover, it is especially harmful to industrial, capital-intensive, and small enterprises. These findings are consistent with the idea that sickness absenteeism is more problematic when absent workers have in-depth firm-/task-specific knowledge, when the employees’ work is highly interconnected (e.g., along the assembly line), and when firms face more organizational limitations in substituting absent workers.     

On Modelling Speculative Prices: The Empirical Literature

Traditionally, financial theory and in particular asset pricing models have assumed (implicitly or explicitly) a certain probabilistic structure for speculative prices. The probabilistic structure is usually defined in terms of specific statistical models and relates to the dependence, heterogeneity and the distribution of such prices. The primary objective of this paper is to trace the development of various statistical models proposed since Bachelier (1900), in an attempt to assess how well these models capture the empirical regularities exhibited by data on speculative prices.     

The structure of production of the Spanish telecommunications sector

The purpose of this paper is to provide empirical measures of the returns to scale coefficients, substitution elasticities between capital and labor, their marginal productivities, and the profitability of inputs in the Spanish telecommunications industry. The results of this study indicate that constant returns to scale can strongly be rejected and that the profitability indices of both factors have risen consistently since 1974. Furthermore, it concludes that the company is relatively overcapitalized, a result generally consistent with the Averch-Johnson effect for rate of return regulated monopolies.The author wishes to thank Dr. Boris Bravo-Ureta and Dr. Emilio Pagoulatos for thoughtful comments on an earlier draft. She is also indebted to an anonymous referee for valuable suggestions and to Telefónica de España for providing the data necessary for this study.     

Empirical issues in the computation of Stone–Lewbel price indexes in censored micro-level demand systems

In this article, we propose an empirical method for the computation of the Stone–Lewbel (SL) price index for product aggregates, when censored samples with zero expenditures are available from household budget surveys. The proposed technique is based on a regression imputation method that takes into account the price dynamics, therefore, allowing to disentangle the role of demographics from the role of prices in computing the SL index. Our simulations seem to indicate that our method is a valuable alternative.     

Quality control for structural credit risk models

Over the last four decades, a large number of structural models have been developed to estimate and price credit risk. The focus of the paper is on a neglected issue pertaining to fundamental shifts in the structural parameters governing default. We propose formal quality control procedures that allow risk managers to monitor fundamental shifts in the structural parameters of credit risk models. The procedures are sequential — hence apply in real time. The basic ingredients are the key processes used in credit risk analysis, such as most prominently the Merton distance to default process as well as financial returns. Moreover, while we propose different monitoring processes, we also show that one particular process is optimal in terms of minimal detection time of a break in the drift process and relates to the Radon–Nikodym derivative for a change of measure.     

Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data

This paper builds on existing studies on households’ financial distress and provides new evidence on the determinants of financial hardship in Italy and its persistence over time. It suggests a quantitative definition of financial distress based on the distribution of net wealth, and tests whether the probability of experiencing financial difficulty is persistent over time, using (random and fixed effects) dynamic models for binary panel data. The analysis exploits the longitudinal component of the Bank of Italy Survey on Household Income and Wealth for the period 1998–2006. Its results show that, after accounting for unobserved heterogeneity, past values of the outcome variable play a large part in explaining the probability of experiencing financial distress. In addition, the probability of financial vulnerability decreases with income and greater sophistication of the household portfolio and, at least in one of the model specifications, increases in areas with higher unemployment rates.     

Interest Rates and Stock Prices: Evidence from Central and Eastern European Markets

We provide empirical evidence regarding the responses of Central and Eastern European capital markets to monetary policy via domestic and international short-term interest rate shocks. The analysis is conducted using a four-variable structural vector error correction model identified by means of permanent-transitory restrictions. The results indicate a noticeable effect of the international interest rate on stock market indexes in the cases of the Czech Republic, Hungary, Poland, and Romania. Since no monetary policy autonomy exists in Bulgaria, Latvia, and Lithuania, we find support only for the inverse relationship between foreign interest rate and stock index prices.