Imposing regularity conditions on a system of cost and factor share equations

Systems of equations comprising cost functions and first-order derivative equations are often used to estimate characteristics of production technologies. Unfortunately, many estimated systems violate the regularity conditions implied by economic theory. Sampling theory methods can be used to impose these conditions globally, but these methods destroy the flexibility properties of most functional forms. We demonstrate how Bayesian methods can be used to maintain flexibility by imposing regularity conditions locally. The Bayesian approach is used to estimate a system of cost and share equations for the merino wool-growing sector. The effect of local imposition of monotonicity and concavity on the signs and magnitudes of elasticities is examined.     

Australian and American Settler Capitalism: The Importance of a Comparison and its Curious Neglect

Why is Australia so little known about and studied in the United States when prima facie it is one of the best comparators for America; and why do Australian comparativists often ignore the American case? The discourse of difference has predominated in America rather than the discourse of similarity. But in Australia the opposite has been true. Here an equally powerful theme has been one of searching for comparisons, similarities, and generalities between Australia and other nations and societies. Through thinking about answers to these questions, partly via a discussion of some recent writing on America and Australia, this essay argues a case for the necessity for comparison within a world history perspective. More particularly, it argues that American intellectuals and journalists should pay more attention to comparators like Australia since its similarity with America affords valuable insights into American history, politics, economy, society, and institutions, just as the converse has proven to be valuable.     

Food Stamp Program Participation of Refugees and Immigrants

The Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) dramatically changed the availability of food stamps to immigrants, but not to refugees. However, refugee usage of food stamps in the post-reform era has declined more than usage of either other immigrants or native citizens. We investigate food stamp program participation of immigrants and refugees to ascertain if the resulting decline was an unintended effect of the reform or is due to some other phenomena. We use data from the Immigration and Naturalization Service to construct an instrument for refugees. We find that refugees are more likely than other immigrants to use food stamps. While PRWORA clearly reduced non-refugee immigrant food stamp participation, the post-reform era decline in refugee usage is fully attributable to a strong refugee response to changing labor market conditions. We also find that refugees' use of food stamps declines rapidly with time in the United States, unlike that of other immigrants.     

Dimensions of brand performance: Challenges for marketing management and managerial accountancy

This paper evaluates a range of inherent conflicts characteristic of the marketing/accounting interface. It addresses the problems which accountants face when budgeting expenditures for brand management or when attempting to assess the value of brand equity. Dimensions of brand performance are outlined, as are the management processes underpinning their creation and sustenance. A brand value budgeting perspective is proposed which integrates these processes within a framework linking marketing assets to the generation of cumulative strategic value.     

Climate Change and Regional Vulnerability to Transnational Security Threats in Southeast Asia

Transnational and non-state threats including international organized crime, terrorism, illicit trafficking (in drugs, wildlife, humans, arms, etc.), piracy, infectious disease, and illegal migration flows are major concerns in Southeast Asia. This paper examines IPCC projections for climate change to the region and discusses possible impacts of these changes upon transnational security. Overall, climate change could increase potential vulnerability to various transnational security threats. Southeast Asian livelihood and social systems will be pressured, while state and civil society capacity will be strained. This will intensify existing vulnerabilities to non-state security threats and raise the overall level of vulnerability and risk to both human and state security. Predicted climate change impacts are also likely to strengthen or help revive sub-state networks that have traditionally responded to environmental change and pressure via violence, crime, smuggling, banditry, trafficking, terrorism, and other such activities. This will contribute to the evolution, expansion, and growth of “new” war fighting groups while raising overall vulnerability to non-state threats from local to global scales.     

Positioning the World Bank

This article examines the rationale for the World Bank and explores whether its objective is best served by its current mix of activities. We are critical of the Bank's reliance on conditionality, and advocate evolution into a Knowledge Bank, which would lend with few conditions to countries with good policies and good institutions, and would concentrate on the provision of knowledge and technical assistance, rather than lending, in countries where the policy framework is poor. We also advocate an expansion in the Bank's role as a provider of global public goods; we critically examine the Banks role in relation to financial crises.     

A Bayesian Bioeconometric Model of Invasive Species Control: The Case of the Hemlock Woolly Adelgid

In this article we evaluate a US Forest Service plan to mitigate damages from an invasive insect on public, forested land. We develop a dynamic model of infestation and control to explicitly account for biological interactions, baseline conditions, and uncertainty, thus creating a more complete picture of policy impacts than a static cost benefit analysis could provide. We combine the results of the dynamic model with an empirical study of nonmarket forest benefits to create a bioeconomic model of ecosystem management. Estimating the empirical model in a Bayesian framework allows us to treat the economic coefficients of the dynamic model as random variables. We specify distributions for the biological parameters and examine the effects of both biological and economic uncertainty on the predictive distribution of net benefits. We find that the net benefits of the program are positive, and that uncertainty in the biological model contributes substantially more to the variance of our estimate than does uncertainty over the valuation of the resource.