On the Stationarity of Current Account Deficits in the European Union

In this paper, we test for the stationarity of EU current account deficits. Our testing strategy addresses two key concerns with regard to unit‐root panel data testing, namely (i) the identification of which panel members are stationary, and (ii) the presence of cross‐sectional dependence. For this purpose, we employ an AR‐based bootstrap approach to the Hadri (2000 ) test. While there is only mixed evidence that current account stationarity applies when examining individual countries, this does not appear to be the case when considering panels comprising both EU and non‐EU members.     

Internal validity assessment of conjoint estimated attribute importance weights

This paper investigates how various conjoint designs (full versus fractional) and estimation procedures (LINMAP, MONANOVA, OLS) may interact with basic characteristics of the “true” utility functions (i.e., their range, shape, and curvature) when estimating attribute importance weights. Substantial weight distortions are found, especially under a fractional design.     

The Geography of Innovation in China and India

The BRICS countries in general, and China and India in particular, are now widely regarded as the areas of the world likely to challenge the economic leadership of the United States (US) and the European Union (EU). A large part of this challenge will come from rapid technological catch‐up by China and India. Yet, despite a recent rise in interest, there is limited knowledge about how and where innovation takes place in these two leading emerging countries and to what extent the Chinese and Indian territorial systems of innovation differ from those in the EU or the US. In this article we explore the geography of innovation in China and India, concentrating on understanding key territorial‐level innovation trends by country, region and technology field, using the US and the EU as benchmarks. We find significant contrasts between the geography of innovation in China and India and that of the US and the EU. First, the degree of concentration of innovative activities in both countries is extremely high. Levels of agglomeration of innovation in the coastal provinces of China, as well as in Delhi and the South of India, significantly exceed the levels of agglomeration found in the USA and the EU. Secondly, China has witnessed a more rapid increase in the degree of concentration of innovation than India. We posit that the differences in the geography of innovation between, on the one hand, China and India and, on the other hand, between these countries and the developed world are rooted in different institutional settings, different systems of innovation and different national innovation strategies.     

When should a firm expand its business? : The signaling implications of business expansion

We examine an incumbent's trade-off between the improved efficiency that business expansion facilitates and the signaling role that business expansion plays in conveying information to potential entrants about the state of demand. We demonstrate that both separating and pooling equilibria survive the Intuitive Criterion. Essentially, in contrast to models with asymmetric information about unit cost, incumbents' benefits from investing in a signal are not necessarily monotonic in the state of demand. We investigate how the extent of informativeness of the outcome depends on the enhanced efficiency that the incumbent's expansion facilitates and the priors of the entrant.     

ROBUST ESTIMATIONS OF EQUILIBRIUM EXCHANGE RATES WITHIN THE G20: A PANEL BEER APPROACH

This paper is concerned with the robustness of equilibrium exchange rate estimations based on the BEER approach for a set of both industrial and emerging countries. The robustness is studied in four directions, successively. First, we investigate the impact of using alternative proxies for relative productivity. Second, we analyze the impact of estimating the equilibrium equation on one single panel covering G20 countries, or separately for G7 and non-G7 countries. Third, we measure the influence of the choice of the numeraire on the derivation of bilateral equilibrium rates. Finally, we study the temporal robustness of the estimations by dropping one or 2 years from the estimation period. Our main conclusion is that BEER estimations are quite robust to these successive tests, although at one point of time misalignments can differ by several percentage points depending on the methodology. The choice of the productivity proxy is the most sensible one, followed by the country sample. In contrast, the choice of the numeraire and the time sample have a relatively limited impact on estimated misalignments.     

Testing Temporal Reliability and Carry-over Effect: The Role of Correlated Responses in Test-retest Reliability Studies

Test-retest studies help establish the reliability of contingent valuation (CV) responses but must confront the problem that the initial response may influence subsequent responses, and thus weaken conclusions. We develop a model that tests the influence of heterogeneous preferences and previous responses. By estimating a model of sportfishing, we show that correlation between answers to a CV question is induced by heterogeneous preferences.     

Merger policy in innovative industries

We analyze optimal merger policy in R&D-intensive industries with product innovation aiming to improve the quality of products. Our results suggest that a permissive merger policy is rarely optimal in high-tech industries when the antitrust authority considers a welfare standard that balances the impact of mergers on consumers’ surplus and firms’ profits. In particular, relative to a benchmark where the effects from R&D are absent, we show that the optimal merger policy should not be substantially more permissive in the presence of those effects from R&D.     

Market Structure And The Adoption Of Innovations: The Case Of The Spanish Banking Sector ‡

This paper is an empirical study of the determinants of adoption time for the teleprocess terminal by Spanish commercial and savings banks. The explanatory variables include the characteristics of the adopting firms, size, and in the case of the savings banks, the structure of the market and concentration. The results indicate that the speed of adoption is maximized at intermediate levels of size and market concentration, confirming one theoretical prediction of models of diffusion: namely, that adoption time is minimized at intermediate levels of market concentration.