Convergence in a Dynamic Heckscher–Ohlin Model with Land

Convergence among nations that share the same preferences and technologies is a key result of the closed‐economy neoclassical growth framework that has received substantial support in the data. However, Heckscher–Ohlin versions of the two‐sector neoclassical growth model predict that nations that differ in their capital–labor ratios may not converge to the same steady state, even if they are identical in all other aspects. This is a puzzling result that warns us about potential dangers of international trade. In this paper we show that when land, an input in fixed supply, is introduced into the model, international trade in goods no longer limits the capacity of poor nations to catch up with the advanced world.     

Macroeconomic Volatility and Welfare in Developing Countries: An Introduction

Macroeconomic volatility, both a source and a reflection ofunderdevelopment, is a fundamental concern for developing countries.Their high aggregate instability results from a combinationof large external shocks, volatile macroeconomic policies, microeconomicrigidities, and weak institutions. Volatility entails a directwelfare cost for risk-averse individuals, as well as an indirectone through its adverse effect on income growth and development.This article provides a brief overview of the recent literatureon macroeconomic volatility in developing countries, highlightingits causes, consequences, and possible remedies. It then introducesthe contributions of a recent conference on the subject, sponsoredby the World Bank and Pompeu Fabra University, Barcelona.     

Domestic mindsets and early international performance: The moderating effect of global industry conditions

We develop and test a sensemaking model of early internationalization that ties domestic mindsets to international industry conditions and early international performance. Our central contention is that the fit between international industry conditions and domestic mindsets will lead to superior early international performance. We test this contention with a sample of 178 large and established domestic firms from 20 industries. Our results highlight the role of domestic mindsets in the early phases of internationalization and prescribe the types of domestic mindsets needed to maximize early international performance in global, multi‐domestic, and transnational industry conditions. Our results also provide valuable insights to top managers of large and established firms on how to reduce the risk of failure and how to successfully prepare for and cope with international environments by matching their domestic mindsets with international industry environments. Copyright © 2010 John Wiley & Sons, Ltd.     

Key drivers of services website loyalty

The ease of website comparison and strong price competition encourage users to constantly switch tourism service providers. The present work analyses how satisfaction, trust, and commitment can help to strengthen loyalty towards websites selling accommodation services. Moreover, special attention is paid here to evaluate the moderating effects of gender on the relationships between these variables. Structural equation models were used to test the hypotheses on a sample of 230 Mexican Internet users, online purchasers of tourist accommodation services. The results show significant differences between men and women's post-purchase behaviour with a higher influence in women of trust on commitment and of commitment on loyalty towards accommodation services websites. Managerial implications for accommodation websites are provided.     

GMM estimation of the number of latent factors: With application to international stock markets

We propose new generalized method of moments (GMM) estimators for the number of latent factors in linear factor models. The estimators are appropriate for data with a large (small) number of cross-sectional observations and a small (large) number of time series observations. The estimation procedure is simple and robust to the configurations of idiosyncratic errors encountered in practice. In addition, the method can be used to evaluate the validity of observable candidate factors. Monte Carlo experiments show that the proposed estimators have good finite-sample properties. Applying the estimators to international stock markets, we find that international stock returns are explained by one strong global factor. This factor is highly correlated with the Fama–French factors from the U.S. stock market. This result can be interpreted as evidence of market integration. We also find two weak factors closely related to markets in Europe and the Americas, respectively.     

Further education and training in the french public sector

Since 1989, the French public sector has imitated the private sector's further education and training mechanisms. But today, it seems that just as in the private sector, the training policies in the public sector have severe limitations. Based on a case study of a large public research institute and on a national survey making it possible to compare the private and public sectors, the paper studies the further education and training policies and their links with the organizational needs. In the public sector, the difficult balance between individual's choices and strategic management comes on the one hand from the specificities of the administrative rules of human resource management, and on the other hand from the unions' power and strategies. Faced with new challenges (demographic evolutions, decentralisation, new demands from the users of public services), the French public sector must develop new training policies.     

A Model for Monetary Policy Analysis for Sub-Saharan Africa

We develop a small open economy DSGE model usable for monetary policy in Sub-Saharan Africa. In this paper we apply the model to quarterly data from Ghana from 1981–2007. We find that permanent, but not transitory, technology shocks are the most important source of fluctuations. We find that the estimated monetary policy rule suggests that policy is aimed almost exclusively at fluctuations in output and ignores inflation, imports and exports. A negative result is that there appears to be significant issues in identifying some important parameters.     

Do Investors Pay Sufficient Attention to Banks’ Unrealized Gains and Losses on Available-for-sale Securities?

Abstract

Unrealized gains and losses on available-for-sale securities (AFSGL) are included in Other Comprehensive Income (OCI) and directly affect shareholders’ equity but are not included in earnings. We investigate whether unrealized AFSGL help predict future earnings and whether analysts and investors incorporate the information conveyed by unrealized AFSGL in a timely manner. We conduct our investigation on a sample of banks because unrealized AFSGL are material in the banking industry. First, we show that unrealized AFSGL are material and help in predicting next period realized AFSGL and future earnings change. Second, we document that financial analysts are slow to react to unrealized AFSGL and update their forecasts after AFSGL are realized in earnings. Third, we find that investors are also slow to react to unrealized AFSGL and do so only after AFSGL are included (realized) in earnings and after financial analysts update their forecasts. We document an annual difference of 5% in future abnormal returns between banks in the top and bottom quintiles of past unrealized AFSGL. A zero-cost trading strategy that relies on public information about unrealized AFSGL generates a sizeable monthly alpha that ranges between 1.8% and 1.9%.     

The influence of weather conditions on dairy production

Relatively little attention has been paid in the economics literature to the effects of meteorological conditions on milk production. Meteorological variables can be expected to affect milk production through their impact on the productivity of cows and the production of foodstuff. Rather than including meteorological variables as inputs in the milk production process, we propose a production function where these variables affect the productivity of cows and the production of forage, thereby indirectly affecting milk production. Using production and meteorological data from the Spanish region of Asturias corresponding to 383 dairy farms observed during a six‐year period from 2006 to 2011, the results from our estimated production function show that meteorological variables have a significant impact on milk production. We find that milk production is higher under warm weather conditions due to improvements in forage production.     

An experimental method for studying unconscious perception in a marketing context

This article provides in‐depth discussion of a recently developed method designed to foster the elicitation and detection of unconscious perception. Prior findings coupled with additional studies and analyses support the value of this method as a tool for studying unconscious perception in a marketing context. The method can both divert subjects' conscious attention away from experimental stimuli and provide a separate indicator of where subjects' attentive resources are being allocated during exposure. Moreover, it is easy to use and flexibly applied in an experimental setting. © 1999 John Wiley & Sons, Inc.