Radial and nonradial measures of technical efficiency: An empirical illustration for Belgian local governments using an FDH reference technology

This paper serves two purposes. First, we argue that radial efficiency measures are inappropriate for the Free Disposal Hull (FDH) technology, and we provide a comparative analysis of alternative nonradial measures. In particular, using information on Belgian local government expenditures and output indicators we implement various radial and nonradial measures on the FDH reference technology, and we investigate to which extent these efficiency measures imply different distributions and rankings. Second, we analyze the patterns of measured technical efficiency implied by the various indices. Specifically, we investigate whether different measures make any substantial difference for the explanation of the calculated inefficiencies. The empirical results suggest that more important differences in rankings exist between radial and nonradial measures than between different nonradial alternatives; moreover, the radial and the nonradial efficiency measures do yield a somewhat different pattern of explanation.This is a revision of a paper presented at the 38th Conference of the Applied Econometrics Association in Athens (April 12–13, 1993). Comments of R. Goudriaan, Henry Tulkens, and two anonymous referees are gratefully acknowledged.     

Testing constancy of the error covariance matrix in vector models

In this paper a Lagrange multiplier test of the hypothesis that the covariance matrix of a multivariate time series model is constant over time is considered. It is assumed that under the alternative, the error variances are time-varying, whereas the correlations remain constant over time. Under the parameterized alternative hypothesis the variances may change continuously as a function of time or some observable stochastic variables. Small-sample properties of the test statistic are investigated by simulation. The assumption of constant correlations does not appear overly restrictive.     

CALCULATING TRAGEDY: ASSESSING THE COSTS OF TERRORISM

Abstract.  The trends and consequences of terrorist activities are often captured by counting the number of incidents and casualties. More recently, the effects of terrorist acts on various aspects of the economy have been analyzed. These costs are surveyed and put in perspective. As economic consequences are only a part of the overall costs of terrorism, possible approaches for estimating the utility losses of the people affected are discussed. Results using the life satisfaction approach, in which individual utility is approximated by self-reported subjective well-being, suggest that people's utility losses may far exceed the purely economic consequences.     

Wer trägt das Terrorrisiko?

This article deals with insuring terrorism risks and it focuses on the situation in Germany after the events of September 11^th 2001. After a brief introduction to the general problems of insuring against terrorism the authors explore how terrorism affects different lines of insurance business in Germany and examine Extremus, the German specialist insurer with government backing for insuring property risks against terrorism. A thorough analysis of different aspects of risk transfer follows. This analysis also addresses different pricing strategies for insuring against terrorism. In this section the authors focus on the question to what extend one can really speak of a risk transfer through insurance in respect to terrorism. Scenarios are developed of how large losses would affect the insurance industry as well as the customers. In regard to those scenarios it becomes visible that the risk transfer from the policyholder to the insurer is not complete.In their conclusion the authors examine some scenarios of increased and decreased terrorist activity and the effects that each of these scenarios will have on the solution of insuring against terrorism through Extremus.     

Product market objectives and the formation of research joint ventures

In this paper we extend the existing literature on research and development (R&D) investments and research joint ventures (RJVs) in two important ways. First, we analyze and compare the case where firms collude in the product market to the benchmark case of competition in the output market. Second, we allow firms to form coalitions endogenously as a separate stage in the game. We develop profit functions that depend on the partition of firms into joint ventures and the nature of product competition between venture partners. Our results illustrate the restrictive nature of some assumptions made in the literature. Typically multiple RJVs of different sizes form in equilibrium. In general, RJVs should not be promoted if they entail product market collusion. Given the information available to policy‐makers, it is unlikely that an R&D policy more refined than analyzing and allowing RJVs on a case‐by‐case basis is feasible. Copyright © 1999 John Wiley & Sons, Ltd.     

Long-run Positions and Short-run Dynamics in a Classical Growth Model

The aim of this paper is to study the qualitative impact of short-run disequilibria on long-run positions. In this perspective, we refer to a classical framework. We underline that one-sector classical growth models only deal with perfectly adjusted situations (steady-state equilibria). Such models assume that short-run dynamics are neutral in the long run which means that the steady state is defined independently of the transient dynamics. In order to show that this situation is not always realized, we propose a modified version of Kurz's growth model (“Technical change, growth and distribution: a steady-state approach to ‘unsteady’ growth”, in Kurz H. D.: Capital Distribution and Effective Demand, Blackwell, Oxford, 1990, pp. 210–239) that integrates short-run disequilibria. We obtain dynamics that exhibit a multiplicity of equilibria. Therefore, short-run events can no longer be neglected, since they contribute to the emergence of the long-run equilibrium.     

On the location of knowledge-intensive entrepreneurship in developing countries: lessons from São Paulo,Brazil

This article empirically appraises the geographical distribution of knowledge-intensive entrepreneurship (KIE) in the settings of an emerging economy. We start from the typical agglomeration approach and then introduce a set of variables related to local market conditions, distance from the economic hub, and knowledge & innovation system to explain KIE location and density on the basis of city-level data in the State of São Paulo, Brazil. Findings indicate KIE concentration in and around a few urban areas, providing support to agglomeration economies concepts. There is strong evidence that the local presence of research-oriented universities, access to capital, and business concentration are correlated to KIE emergence and density. Results also indicate the moderating effect of agglomeration diseconomies mainly related to factors of rapid and anarchic expansion of urban centers and the consequences of extreme inequalities in income distribution. This challenges the usability of concepts of entrepreneurial ecosystems from advanced economies if not adapted to the realities of developing countries.     

Should More Risk-Averse Agents Exert More Effort?

Consider an agent facing a risky distribution of losses who can change this distribution by exerting some effort. Should he exert more effort when he becomes more risk-averse? For instance, should we expect more risk-averse drivers to drive more cautiously? In this article, we give sufficient conditions under which the answer is positive, using results presented in Jewitt (1989). We first extend the standard models of self-insurance and self-protection and show that the comparative statics depends only on the effect of effort on the net loss. We then present conditions for the continuous case with applications.