Modelling spatial regimes in farms technologies

We exploit the information derived from geographical coordinates to endogenously identify spatial regimes in technologies that are the result of a variety of complex, dynamic interactions among site-specific environmental variables and farmer decision making about technology, which are often not observed at the farm level. Controlling for unobserved heterogeneity is a fundamental challenge in empirical research, as failing to do so can produce model misspecification and preclude causal inference. In this article, we adopt a two-step procedure to deal with unobserved spatial heterogeneity, while accounting for spatial dependence in a cross-sectional setting. The first step of the procedure takes explicitly unobserved spatial heterogeneity into account to endogenously identify subsets of farms that follow a similar local production econometric model, i.e. spatial production regimes. The second step consists in the specification of a spatial autoregressive model with autoregressive disturbances and spatial regimes. The method is applied to two regional samples of olive growing farms in Italy. The main finding is that the identification of spatial regimes can help drawing a more detailed picture of the production environment and provide more accurate information to guide extension services and policy makers.     

A survey of network-based analysis and systemic risk measurement

The financial crisis led to a number of new systemic risk measures and a renewed concern over the risk of contagion. This paper surveys the systemic risk literature with a focus on the importance of contributions made by those emphasizing a network-based approach, and how that compares with more commonly used approaches. Research on systemic risk has generally found that the risk of contagion through domino effects is minimal, and thus emphasized focusing on the resiliency of the financial system to broad macroeconomic shocks. Theoretical, methodological, and empirical work is critically examined to provide insight on how and why regulators have emphasized deregulation, diversification, size-based regulations, and portfolio-based coherent systemic risk measures. Furthermore, in the context of network analysis, this paper reviews and critically assesses newly created systemic risk measures. Network analysis and agent-based modeling approaches to understanding network formation offer promise in helping understand contagion, and also detecting fragile systems before they collapse. Theory and evidence discussed here implies that regulators and researchers need to gain an improved understanding of how topology, capital requirements, and liquidity interact.     

Evaluation of subsidiary marketing performance: combining process and outcome performance metrics

Issues in evaluating marketing performance and devising appropriate metrics for measurement have taken center stage in marketing thought and practice in recent years. We propose an empirical model that enables a multinational enterprise (MNE) to assess the marketing performance of its subsidiaries, taking into explicit consideration the fact that tactical actions by subsidiaries contribute to the creation of assets that can be harnessed for marketing outcomes. Thus, our model captures the asset creation abilities of marketing expenditures and also takes in to account the environmental differences of the context in which each MNE subsidiary operates. We evaluate comparative, overall, and process-level (creation of market assets and market yield) marketing performance in the context of multi-country operations. This simultaneous examination of marketing process and marketing outcome performance enables a global corporation to gain strategic, operational, and diagnostic insights into the performance of its subsidiaries. Our approach is empirically illustrated with an evaluation of the marketing performance of subsidiaries of a large global corporation.     

A cliometric analysis of the Aldo Moro kidnapping and assassination

In Rome, on 16 March 1978, the Red Brigades kidnapped Aldo Moro. They kept him a prisoner for 55 days, and ultimately killed him. Why did they decide to kill Moro since it appears a posteriori that they did not improve their situation by doing so? Our paper answers this question by building mainly on the model of kidnapping by Selten (A simple game model of kidnapping. In: Henn R, Moeschlin O (eds) Mathematical economics and game theory. Lecture Notes in Economics and Mathematical Systems, vol. 141. Springer, Berlin, pp 139–156, 1977). We develop an integrated game-theoretic model that reliably captures both the problem of kidnapping for some sort of non-monetary ransom and the problem of assassination of prominent political figures. We embed our model within the historical evidence surrounding the Moro case. We show that, in the Moro case, there is a continuum of equilibria implying the death of the hostage.     

Consumer decision making,E-commerce and perceived risks

This article studies how adoption and usage behaviour of the Internet and online shopping, respectively influence the preference to use electronic commerce to purchase different types of products. We empirically model the preference for electronic commerce when consumers have to buy different types of products and thus face different types of risks (Cox and Rich, 1964 Cox, D and Rich, S. 1964. Perceived risk and consumer decision making-the case of telephone survey. Journal of Marketing Research, 1: 32–9. [Crossref], [Web of Science ®] , [Google Scholar]). Unlike previous research, we find that consumers who have previously shopped online, display stronger preferences to buy products on the Internet irrespective of the perceived level of product-specific risks of online shopping. This article provides an interesting and novel insight into how both adoption and usage of electronic commerce impact on the attitude and risk perception of buying less predictable (more risky) products on the Internet.     

Long-run impacts of inflation across sectors in a small sample of countries

This article investigates the long-run effects of inflation on economic output for 10 sectors of the economy, with a sample of 7 countries. The analysis is done using long-run restrictions in a vector autoregression and reports long-run multipliers with bootstrapped confidence bands. The results suggest that some sectors seem to be affected differently than others, as well as significant heterogeneity across countries. The results suggest the strongest effects in the low inflation countries Germany and Japan as has been found in similar studies. In contrast to research using growth regressions, the evidence suggests a positive long-run effect of inflation on output.     

Does more medical care improve population health? New evidence for an old controversy

This article investigates the aggregate relationship between medical care and health for the US population. I use annual state level panel data for the period 1983 to 2000 to estimate static and dynamic health production function models. I find no compelling evidence that greater aggregate utilization of medical care from application of existing technology improves population health by lowering mortality in the short run or long run. My results suggest that development of new medical technologies that diffuse rapidly throughout the nation and at different rates across states may well explain much of the decline in the age-adjusted death rate over the past several decades, as well as persistent differences in mortality across geographic regions. Overall, my findings suggest that the US may be experiencing ‘flat of the curve medicine’ with future improvements in mortality from medical care coming from new and better technologies rather than greater intensity of services.     

First-author conditions: evidence from finance journal coauthorship

We study the trend and the author name-ordering rule in finance publication using the publication records of 21 core finance journals during the period from 1990 to 2004. We empirically model the underlying factors that affect the alphabetical ordering rule among multi-authored finance articles. We find that the choice of alphabetical ordering is based on the quality of the article, institutional heterogeneity, team size and cultural factors. The central argument rests upon the need to signal and the importance of signalling within the context of bargaining behaviour among coauthors. The probability of choosing alphabetical name ordering rule is associated with high article quality, higher ranked institutions, smaller research team and the presence of European authors.     

The exchange rate pass-through into import prices: the case of Japanese meat imports

Japan is a traditional net importer of food products in general and meat products in particular. Japanese meat imports come from a few countries thus making Japan potentially very sensitive to the swings in one or a few bilateral exchange rates. One of the key contributions of this article is the use of commodity (meats in this case) imports weighted exchange rates in the analysis. The standard practice in previous international agricultural trade studies related to either exchange rate pass-through or pricing to market was to use the aggregate trade weighted exchange rates usually provided by the Central Bank authorities or sources. Beef and poultry import prices indicate partial exchange rate pass-through while import prices of pork indicate zero exchange rate pass-through, primarily due to gate price policy system applied to pork imports. In terms of competitiveness, these results suggest relatively more competitive markets among poultry importing firms, somewhat competitive markets among beef importing firms, while competitiveness of pork importing firms could not be assessed due to existing import policies.     

Pareto optima and equilibria when preferences are incompletely known

An exchange economy in which agents have convex incomplete preferences defined by families of concave utility functions is considered. Sufficient conditions for the set of efficient allocations and equilibria to coincide with the set of efficient allocations and equilibria that result when each agent has a utility in her family are provided. Welfare theorems in an incomplete preferences framework therefore hold under these conditions and efficient allocations and equilibria are characterized by first order conditions.