Do U.S. citizens support government intervention in agriculture? Implications for the political economy of agricultural protection

The persistence of agricultural protectionism throughout the world is intriguing given the widely recognized benefits of free trade. The political economy literature over the last decades has considered groups’ interest, politicians’ preferences, and their interactions within domestic politics as the primary forces driving agricultural protection. Yet, a growing body of studies suggests that it would be judicious to weigh in consumers’ or taxpayers’ perspectives in deciphering the nature of agricultural protection. This study examines U.S. citizens’ preferences about government intervention in agriculture and trade. Results show that they are in strong support of agricultural protection and their perceptions of national food security, family farms, environmental sustainability, and multifunctionality of agriculture play a significant role in shaping their support/opposition toward government intervention. The conventional political economy literature theorizes that consumers or taxpayers would oppose public policies that increase their tax burden; however, in the case of the farm sector, they have little incentive to voice their objections given the costs of farm programs are spread across a large number of consumers and taxpayers. U.S. citizens’ support for government involvement in agriculture as reported in this and other prior studies does not lend support for such political economy explanation.     

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.     

Corporate response to an ethical incident: the case of an energy company in New Zealand

The ethical behaviour and social responsibility of private companies, and in particular large corporations, is an important area of enquiry in contemporary social, economic and political thinking. In the past, a company's behaviour would be considered responsible as long as it stayed within the law of the society in which it operated or existed. Although this may be necessary, it is no longer sufficient. In this paper, we examine an energy company's response to an ethical incident in New Zealand which prompted different responses across the country about the role of business in society. Thus, we argue that when a corporation is accused of unethical behaviour, executives of the company are usually compelled to offer responses to defend their actions and corporate image. Further, we use communicative response model, social issue life cycle theory, and organisational learning, to analyse the incident and how the company responded. Using social issues life cycle theory and organisational learning theory, we demonstrate that sustained pressure can potentially trigger a change of strategy that may serve to improve the ethical posture of a corporation and thereby improve the corporate image long term. We conclude that, although corporations may understand the significance of social issues to the performance and success of their business, this same understanding does not always translate into meaningful social action.     

Modelling the Extensive Margin of World Trade: New Evidence on GATT and WTO Membership

Recent literature has argued that, contrary to the results of a seminal paper by Rose (2004), General Agreement on Tariffs and Trade (GATT)/World Trade Organization (WTO) membership does promote bilateral trade, at least for developed economies and if membership includes non‐formal compliance. We review the literature to identify open issues. We then develop a simple extension of the gravity model that gives rise to an extensive country margin of trade separating positive trade from zero trade country pairs. The model is used to identify WTO membership effects at both the intensive and the extensive margins. Empirical estimation of this model, based on Poisson pseudo‐maximum likelihood methods with exporter and importer fixed effects, allows us to readdress the empirical issue of whether GATT/WTO membership does or does not promote trade. We find that GATT membership was successful on the extensive margin of world trade but not on the intensive margin. For the recent WTO episode (1995–2008), we find consistent and robust evidence for a substantial trade‐creating role of membership which is driven primarily by the intensive margin. WTO membership results in higher bilateral trade of about 40 per cent.     

Natural resources and international labour mobility

We study the relationship between natural resource wealth and (skilled and unskilled) emigration. The source data for international migration rates come from Brücker, Capuano, and Marfouk (2013) and measures of resource wealth from the World Bank database. We find that natural resource abundance reduces skilled emigration regardless of countries’ natural wealth, but that natural resources reduce unskilled emigration only in resource-rich countries.     

An investigation of the effects of exchange rate volatility on exports in East Asia

This study investigates the effects of the exchange rate volatility on the export flows of Indonesia, Malaysia, Republic of Korea, Singapore, Thailand, and the Philippines during 1974–2011. Towards this goal a trade weighted real effective (rather than the bilateral) exchange rate and three different measures of volatility, i.e. obtained from an ARCH model, a GARCH model and a moving-average standard deviation measure are used in this study. Specifically, the export flows between six Asian countries and the rest of the world are investigated rather than focusing on trade with only one country. Our findings reveal that the exchange rate volatility has a significant impact on export flows in the short run as well as in the long run for all the countries in the sample. The impact in the long run is predominantly negative with the exception of Singapore, but in the short run the impact varies across countries. Moreover, our results are robust to the alternative measures of volatility used and most of the findings in the long run and short run are also robust to the crisis period.     

SCREENING FOR A CHRONIC DISEASE: A MULTIPLE STAGE DURATION MODEL WITH PARTIAL OBSERVABILITY

We estimate a dynamic multistage duration model to investigate how early detection of diabetes can delay the onset of lower extremity complications and death. We allow for partial observability of the disease stage, unmeasured heterogeneity, and endogenous timing of diabetes screening. Timely diagnosis appears important. We evaluate the effectiveness of two potential policies to reduce the monetary costs of frequent screening in terms of lost longevity. Compared to the status quo, the more restrictive policy yields an implicit value for an additional year of life of about $50,000, whereas the less restrictive policy implies a value of about $120,000.     

An empirical note about estimation and forecasting Latin American Forex returns volatility: the role of long memory and random level shifts components

Portuguese Economic Journal - A set of RLS-type models with ARMA and ARFIMA dynamics is estimated and compared in a forecasting exercise with ARFIMA, GARCH and FIGARCH models. It is an extension of...     

THE NONPROFIT SECTOR OF THE U.S. ECONOMY: A METHODOLOGICAL STATEMENT

United States input-output accounts identify and measure the interrelationships between the various industries in the United States economy. However, these accounts do not identify nonprofit activities from their for-profit counterparts in the service-producing sector. This paper, prepared by Gabriel Rudney and Paula Young, presents the methodology and summary data produced by disaggregating the service-producing industries to identify separately nonprofit activities.
The input-output accounts for 1977 produced in this study include 107 industries, but in this paper the results are summarized into 14 industries showing only nonprofit and for-profit components. The GNP and total outputs in this study are consistent with the revised input-output accounts for 1977 prepared by the U.S. Department of Commerce, Bureau of Economic Analysis.     

This is what the leading indicators lead

We propose an optimal filter to transform the Conference Board Composite Leading Index (CLI) into recession probabilities in the US economy. We also analyse the CLI's accuracy at anticipating US output growth. We compare the predictive performance of linear, VAR extensions of smooth transition regression and switching regimes, probit, non‐parametric models and conclude that a combination of the switching regimes and non‐parametric forecasts is the best strategy at predicting both the NBER business cycle schedule and GDP growth. This confirms the usefulness of CLI, even in a real‐time analysis. Copyright © 2002 John Wiley & Sons, Ltd.