Regulation of Mobile Telephony across the European Union: An Empirical Analysis

In this paper I analyze the impact of regulatory policy on prices and demand for mobile telecommunications services across the European Union. I estimate a reduced form model of the mobile industry using panel data for the EU countries from 1998 to 2002. Among others, I find the following effects: liberalization of fixed telephone lines has a negative impact on prices and a positive impact on the demand for mobile services, and the introduction of mobile number portability has a negative impact on prices.*I am grateful to Toker Doganoglu, Gerd Hansen, Eric Kodjo Ralph, Guido Friebel, participants at the 30th EARIE Conference 2003, the 2nd International Industrial Organization Conference 2004 and the 19th Annual Congress of the EEA 2004, and anonymous referees for valuable comments. I would like to acknowledge the generous financial support from the Volkswagen Stiftung and the Munich Graduate School of Economics which made this research possible. All errors are mine.1 Source: European Commission (1994).     

Finding a Nash equilibrium in spatial games is an NP-complete problem

Summary. We consider the class of (finite) spatial games. We show that the problem of determining whether there exists a Nash equilibrium in which each player has a payoff of at least k is NP-complete as a function of the number of players.Received: 15 September 2002, Revised: 9 March 2003, JEL Classification Numbers: C72.Correspondence to: H. HallerWe thank a referee for helpful comments. The hospitality of the Institute of Economics, University of Copenhagen, and the Institute for Advanced Studies, Vienna, is gratefully acknowledged by the third author.     

Distribution Dynamics of CO<Subscript>2</Subscript> Emissions

This paper uses nonparametric methods to examine the convergence in CO₂ emissions per capita on a sample of 100 countries for the period 1966–1996. Industrial countries show a convergence pattern. However, there is little evidence of convergence for the whole sample.     

Pricing-to-market tests in instrumental regressions: Case of the transportation equipment industry

Pricing-to-market (PTM) theory suggests that exporting monopolistic firms adjust their destination-specific mark-ups in the face of exchange rate shocks. A large proportion of the existing evidence for PTM comes from Wald tests applied to OLS- and IV-estimated parameters of single-equation models. Such tests can seriously over-reject in the presence of endogeneity and weak instruments so that some of the available results supporting PTM could be spurious. In this paper we revisit the PTM evidence for Japanese and German exporting firms in the transportation equipment industry. Using the model of Marston (1990), we apply exogeneity and LR-LIML-based tests for which the error probability is controlled irrespective of the quality of the available instruments. Our results show right-hand-side endogeneity in almost all of the examined PTM equations. In addition, we find that statistical decisions often differ depending on whether they are based on the traditional Wald test or on our proposed test.The authors would like to thank Philippe Barla, Jean-Thomas Bernard, Christos Constantatos, Larry Schembri, seminar participants at the Bank of Canada, and two anonymous referees for useful comments and suggestions. Thanks also to Richard Marston for providing data. Finally, a special thanks to Marjorie Santos for excellent research assistance. All remaining errors are our own and should not be attributed to the Bank of Canada.First version received: May 2002/Final version received: December 2002     

Prescribed conditional interaction structure models with application to the analysis of mobility tables

The present paper considers some new models for the analysis of multidimensional contigency tables. Although the theoretical background used here appeared already in Haberman (1974), prescribed conditional interaction (PCIN) models were introduced by Rudas (1987) and their mathematical properties were worked out by Leimer and Rudas (1988). These models are defined by prescribing the values of certain conditional interactions in the contingency table. Conditional interaction is defined here as the logarithm of an appropriately defined conditional odds ratio. This conditional odds ratio is a conditional version of a generalization of the well known odds ratio of a 2×2 table and that of the three factor interaction term of a 2×2×2 table and applies to any number of dimensions and any number of categories of the variables. The well known log-linear (LL) models are special PCIN models. Estimated frequencies under PCIN models and tests of fit can be computed using existing statistical software (e.g. BMDP). The paper describes the class of PCIN models and compares it to the class of association models of Goodman (1981). As LL models are widely used in the analysis of social mobility tables, application of more general PCIN models is illustrated.     

Sectoral and aggregate technology growth in Spain

In this paper we analyze technological change in the Spanish economy by constructing adjusted Solow residuals, where the adjustment attempts to correct for the bias associated with the potential presence of imperfect competition, increasing returns, variable input utilization and, especially, sectoral reallocation of inputs across sectors. We refer to this modified Solow residual as a technology index. Sectoral reallocations and variable input utilization are key determinants of the differences between the aggregate Solow residual and the technology index resulting from the aggregation of estimated sectoral technological growth. We show that starting in the mid nineties, there has been a deceleration in the aggregate growth rate of technology which is basically due to the behaviour of the manufacturing sectors. Finally, our results imply that aggregate technology growth is less volatile than aggregate productivity as measured by the Solow residual.     

The Study of Ethnicity and Nationalism Needs Better Categories: Clearing up the Confusions that Result from Blurring Analytic and Lay Concepts

Synopsis It has been difficult to make progress in the study of ethnicity and nationalism because of the multiple confusions of analytic and lay terms, and the sheer lack of terminological standardization (often even within the same article). This makes a conceptual cleaning-up unavoidable, and it is especially salutary to attempt it now that more economists are becoming interested in the effects of identity on behavior, so that they may begin with the best conceptual tools possible. My approach to these questions has been informed by anthropological and evolutionary-psychological questions. I will focus primarily on the terms ‘ethnic group’, ‘nation’, and ‘nationalism’, and I will make the following points: (1) so-called ‘ethnic groups’ are collections of people with a common cultural identity, plus an ideology of membership by descent and normative endogamy; (2) the ‘group’ in ‘ethnic group’ is a misleading misnomer—these are not ‘groups’ but categories, so I propose to call them ‘ethnies’; (3) ‘nationalism’ mostly refers to the recent ideology that ethnies—cultural communities with a self-conscious ideology of self-sufficient reproduction—be made politically sovereign; (4) it is very confusing to use ‘nationalism’ also to stand for ‘loyalty to a multi-ethnic state’ because this is the exact opposite; (5) a ‘nation’ truly exists only in a politician’s imagination, so analysts should not pretend that establishing whether something ‘really’ is or is not ‘a nation’ matters; (6) a big analytic cost is paid every time an ‘ethnie’ is called a ‘nation’ because this mobilizes the intuition that nationalism is indispensable to ethnic organization (not true), which thereby confuses the very historical process—namely, the recent historical emergence of nationalism—that must be explained; (7) another analytical cost is paid when scholars pretend that ethnicity is a form of kinship—it is not.     

The Extended Generalized Gamma Model and its Special Cases: Applications to Modeling Marriage Durations

The paper demonstrates how various parametric models for duration data such as the exponential, Weibull, and log-normal may be embedded in a single framework, and how such competing models may be assessed relative to a more comprehensive one. To illustrate the issues addressed, the survival patterns of marriages among 1203 Swedish men born 1936–1964 are studied by parametric and non-parametric survival methods. In particular, we study the sensitivity of model-choice with respect to level of aggregation of the time variable; and of covariate-effects with respect to the model chosen. In accordance with previous works our empirical results indicate that the choice of a parametric model for the duration variable is affected by the level of time aggregation. In contrast to previous results, however, our analysis shows that estimates of covariate effects are not always robust to distributional assumptions for the duration variable.