Antecedents of Purchase Intention in the Online Context

The understanding of the determinant factors of customer purchase intention is necessary, and it is equally important to study the online purchase context, since this context is disseminated among customers. A theoretical model has been elaborated on and tested, considering the constructs of information quality, distrust, and perceived risk as antecedents of purchase intention, and aiming to analyze the relationship among these constructs in the online purchase context. A quantitative research study has been performed by means of the application of a survey. Multivariate statistics techniques have been applied for data analyses, including structural equation modeling. This study contributes to the evolution of the empirically tested concepts by providing a greater individual understanding of each construct presented in the theoretical model, as well as the relationship among them as determinants of purchase intention; the indication is that meaningful relationships were found which may impact greater profitability and, consequently, greater competition for online retailers.     

On the distribution of government bond returns: evidence from the EMU

This paper assesses the statistical distribution of daily EMU bond returns for the period 1999–2012. The normality assumption is tested and clearly rejected for all European countries and maturities. Although skewness plays a minor role in this departure from normality, it is mainly due to the excess kurtosis of bond returns. Therefore, we test the Student’s t, skewed Student’s t, and stable distribution that exhibit this feature. The financial crisis leads to a structural break in the time series. We account for this and retest the alternative distributions. A value-at-risk application underlines the importance of our findings for investors. In sum, excess kurtosis in bond returns is essential for risk management, and the stable distribution captures this feature best.     

The Incidence of Public Spending on Healthcare: Comparative Evidence from Asia

The article compares the incidence of public healthcare across11 Asian countries and provinces, testing the dominance of healthcareconcentration curves against an equal distribution and Lorenzcurves and across countries. The analysis reveals that the distributionof public healthcare is prorich in most developing countries.That distribution is avoidable, but a propoor incidence is easierto realize at higher national incomes. The experiences of Malaysia,Sri Lanka, and Thailand suggest that increasing the incidenceof propoor healthcare requires limiting the use of user fees,or protecting the poor effectively from them, and building awide network of health facilities. Economic growth may not onlyrelax the government budget constraint on propoor policies butalso increase propoor incidence indirectly by raising richerindividuals' demand for private sector alternatives.     

Assessing fiscal sustainability subject to policy changes: a Markov switching cointegration approach

We propose a Markov switching cointegration approach to assess long run fiscal sustainability. This method allows us to simultaneously: (1) test for cointegration in the presence of significant fiscal policy changes; (2) assess the type of fiscal regime that a country experienced at a given period and (3) analyse the timing of the transition between the estimated regime types. Given its flexibility, our approach enable us to uncover a richer and more complex dynamics in the analysis of fiscal sustainability, which standard linear cointegration methods fail to capture.     

Industry dynamics: Foundations for models with an infinite number of firms

This paper explores the connection between three important threads of economic research offering different approaches to studying the dynamics of an industry with heterogeneous firms. Finite models of the form pioneered by Ericson and Pakes (1995) capture the dynamics of a finite number of heterogeneous firms as they compete in an industry, and are typically analyzed using the concept of Markov perfect equilibrium (MPE). Infinite models of the form pioneered by Hopenhayn (1992), on the other hand, consider an infinite number of infinitesimal firms, and are typically analyzed using the concept of stationary equilibrium (SE). A third approach uses oblivious equilibrium (OE), which maintains the simplifying benefits of an infinite model but within the more realistic setting of a finite model. The paper relates these three approaches. The main result of the paper provides conditions under which SE of infinite models approximate MPE of finite models arbitrarily well in asymptotically large markets. Our conditions require that the distribution of firm states in SE obeys a certain “light-tail” condition. In a second set of results, we show that the set of OE of a finite model approaches the set of SE of the infinite model in large markets under a similar light-tail condition.     

Impact of copula choice on the modeling of crop yield basis risk

A number of problems in agricultural economics involve modeling joint distributions for which the assumption of multivariate normality may not be warranted. Yet, very little work has been conducted evaluating competing methods for modeling joint dependence. We develop a simulation framework to evaluate the bias and efficiency impacts of copula choice in the context of evaluating county‐to‐farm basis risk. The results suggest significant differences in performance across various copulas and approaches. The findings have important implications for risk analysis, insurance, and policy modeling problems in agriculture regarding the selection of method to model dependence among random variables.     

Speed of Issuance,Lender Specialization,and the Rise of the 144A Debt Market

Using a large sample of convertible and straight debt issues in the public, 144A, and bank loan markets from 1991 to 2004, we find that the 144A market has risen largely at the expense of the nonshelf public market, the overwhelming majority of the 144A issues are subsequently registered, and straight debt issuers with the highest credit quality and transparency tend to use the shelf public market. Our findings suggest that firms’ preference for speed of issuance drives the growth of the 144A market, and banks and qualified institutional buyers have advantages over public lenders in handling credit risk and information asymmetry.     

Export channel dynamics: an empirical investigation

We investigate the dynamics of export channel arrangements by modelling foreign operation method decisions as the interplay between factors that motivate switches and factors that deter them. Our model extends previous analyses by looking simultaneously at (1) no change of channel arrangement, (2) replacements of foreign intermediaries (within‐mode shifts), and (3) integration of the sales function abroad (between‐mode shifts). We use a multinomial logit model on longitudinal data from a sample of Danish exporters that had entered foreign markets through intermediaries. The results suggest that the decision to carry out within‐mode shifts (i.e. to replace an existing intermediary) is driven by a different set of factors than the decision to switch to another foreign operation mode (i.e. to in‐house operations). Copyright © 2005 John Wiley & Sons, Ltd.     

A legal and economic study of the new Consolidated Text of the Land Use Act of 2008 in Spain

The study conducts a legal and economic analysis comparing the new Consolidated Text of the Land Use Act of 2008 (Texto Refundido de la Ley de Suelo) and the Land Law 6/1998, April 13 now repealed. The study examines various articles contained in the new law and the old law. Although the study analyzes every title in both laws, it focuses on Title III regarding valuations for the expropriation of property owners.     

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

This article presents an application of a bibliometric and visual study of the research carried out on a social science subfield, concretely the consumer behaviour research (CBR), from a longitudinal perspective (period 1966–2008). The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains. Quantitative and qualitative measures are used in order to identify the most prominent themes. Quantitative data are used to put together very related concepts (themes or clusters of topics), while qualitative indicators (as those based on citations) are used to measure the quality and/or impact of the detected themes. The study also uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community. The maps provide insight into the structure of the CBR, visualize the division of the field into several subfields, and indicate the relationships between these subfields. Co-word analysis is the bibliometric technique used to identify the main themes. All this allows us to quantify and visualize the thematic evolution of the CBR. It also helps to both experts and novices to understand the current state of the art of the CBR and to predict where future research could lead.