ASSET DEMANDS AND SLUTSKY EQUATIONS WHEN ALL ASSETS ARE RISKY

This paper exploits the properties of the indirect expected utility function to explore the testable implications of a portfolio model in which all assets are risky. An uncertainty analogue of Roy's Identity and extremely simple derivations of Slutsky equations for risk and return are used in the analysis. Substitutability/complementarity relations between asset pairs are also explored. The one-riskless-asset case emerges as a special case of the present model, and it is shown that (since inflation uncertainty makes all real returns uncertain) the inclusion of a riskless asset would lead to misleading over-simplifications.     

An empirical investigation of interregional production relations and comparative advantage in US manufacturing, 1960–70

Hypothesized differences in mean changes in shares of European Community (EC) import markets over the period 1976-84 are tested for each of 36 less-developed countries. Means are calculated for cases in which MFN tariffs are re-established and for cases in which duty-free treatment is restored under the EC generalized system of preferences. They are compared with means for cases in which tariffs remained constant. We attempt to control for both product-specific and cyclical influences on imports. In contrast to some previous results, our findings suggest that denial (restoration) of preferential treatment, i.e. a tariff increase (decrease), has its expected negative (positive) effect.     

The multi-market firm, transportation costs, and the separation of the output and allocation decisions

Despite the documented importance of transport costs for firmswith sales in geographically separated markets, theoreticalanalyses typically ignore such costs. This paper analyzes theeffects of transport costs for a risk averse, competitive firmselling a single good in a domestic (certain) and a foreign(uncertain) market, and shows that these effects are asymmetric.The effects on total output and the inter-market allocationof output depend on the behavior of marginal domestic transportcosts, but are largely independent of the form of the foreigntransport cost function. Moreover, regardless of the latter,if marginal transport costs in the domestic market are constant,the firm's total output is independent of its attitude towardsrisk and the parameters of the risky market. This suggests thatthe firm's activity can be insulated from foreign uncertaintiesby government policies that focus on the shape of the domestictransportation cost function.     

ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge

The complexity of policy decision-making raises the need to elicit opinions from large and heterogeneous groups of stakeholders with broad and diverse sets of expertise. Existing options for elicitation include small face-to-face panels of experts by using the Nominal Group Technique (NGT), large Delphi panels whose members do not interact with each other face-to-face, and crowdsourcing, which involves an open call for input issued to a large community of people. In an attempt to close the gap between the practical needs of policy makers and the methodological challenges associated with eliciting opinions of large, diverse, and distributed groups, we have developed a new online elicitation system and methodology called ExpertLens. By optimizing the direct interactions of NGT with the larger number of Delphi participants and the wisdom of “selected crowds,” our approach is designed to save on the costs associated with traditional expert panels, while increasing accuracy in elicitation by reducing the potential for group process losses that can occur in large, diverse, and non-collocated panels whose members interact via asynchronous online discussion boards. The ExpertLens approach is iterative, does not require participants to develop consensus, and determines what the group “thinks” by statistically analyzing data collected in all rounds of the elicitation. This paper describes the ExpertLens system and methodology, briefly discusses recent ExpertLens trials, provides conceptual arguments for why it is an appropriate model for eliciting expert opinions, illustrates its main components and analytics by using an infrastructure investment example, and discusses a research agenda for testing the underlying tenets of the ExpertLens approach.     

Managing platform architectures and manufacturing processes for nonassembled products

The article presents methods for defining product platforms and measuring business performance in process intensive industries. We first show how process intensive product platforms can be defined using the products and processes of a film manufacturer. We then present an empirical method for understanding the dynamics of process intensive platform innovation, allocating engineering and sales data to specific platform and product development efforts within a product family. We applied this method to a major product line of a materials manufacturer. We gathered ten years of engineering and manufacturing cost data and allocated these to successive platforms and products, and then generated R&D performance measures. These data show the dynamic of heavy capital spending relative to product engineering as one might expect in a process intensive industries. The data also show how derivative products can be leveraged from underlying product platforms and processes for nonassembled products. Embedded within these data are strategies for creating reusable subsystems (comprising components, materials, etc.) and common production processes. Hard data on the degree to which subsystems and processes are shared across different products frequently are typically not maintained by corporations for the duration needed to understand the dynamics of evolving product families. For this reason, we developed and applied a second method to assess the degree of reuse of subsystems and processes. This method asks engineering managers to provide subjective ratings on an ordinal scale regarding the use of technology and processes from one product to the next in a cumulative manner. We find that high levels of reuse generally indicate that a product family was developed with a platform discipline. We applied this measure of platform intensity to two product lines of integrated circuits from another large manufacturer. We used this method to gather approximately ten years of information for each product family. Upon analysis, one product family showed substantial platform discipline, emphasizing a common architecture and processes across specific products within the product line. The other product family was developed with significantly less sharing and reuse of architecture, components, and processes. We then found that the platform centric product family outperformed the latter along a number of performance dimensions over the course of the decade under examination.     

Illicit drug use among arrestees, prices and policy

Prior studies, by relying on nationally representative surveys, have overlooked the important fact that use of addictive substances is not uniformly distributed; subgroups of hardcore users account for most of the drug consumption. This study employs the Arrestee Drug Abuse Monitoring system to analyze the demand for cocaine and heroin by urban arrestees, employing objective indicators of use based on urinalysis. The data are repeated city cross sections, and panel data methodology is employed to account for endogeneity. Cocaine and heroin prices have a negative effect on the probability of use even among this group of heavy users. Results indicate that subjective, self-reported measures of participation are likely to be under-reported, which may impart bias to estimates of the price elasticity. The own-price cocaine participation elasticity is about −0.15, and the own-price heroin participation elasticity is about −0.10 for arrestees. This contemporaneous elasticity understates the full effect, and the long-run price elasticity is about twice the magnitude. The magnitude of the price response is substantially smaller relative to the estimates in the prior literature, and calculations suggest that further enforcement and interdiction-driven increases in drug prices may not be cost-effective.     

Evolution of the Infant Health Production Function

Michael Grossman's seminal publication on the demand for health and health production (Grossman 1972) has spawned a substantial body of research focusing on the production of infant health. This article provides a systematic review of the published literature to date on infant health production and how it has evolved over the past 3–4 decades as data have become more available, computing has improved, and econometric methods have become more sophisticated. While empirical research in most fields has expanded in corresponding ways, the infant health production research has become an important part of the broader and inherently multidisciplinary literature on intergenerational health. The strongest and most robust findings are that policies matter for infant health, particularly those affecting access to health care, and that prenatal smoking and other chemical exposures substantially compromise infant health. Promising directions for future research include elucidating relevant pathways, reconciling the largely inconsistent estimated effects of nutrition and education, and exploring the roles of preconceptional and lifetime health care, paternal factors, social support, housing, complementarity and substitutability of inputs, factors that modify effects of inputs, and evolving medical technologies.     

The contagion externality of a superspreading event: The Sturgis Motorcycle Rally and COVID‐19

Large in‐person gatherings of travelers who do not socially distance are classified as the “highest risk” for COVID‐19 spread by the Centers for Disease Control and Prevention (CDC). From August 7–16, 2020, nearly 500,000 motorcycle enthusiasts converged on Sturgis, South Dakota for its annual rally in an environment without mask‐wearing requirements or other mitigating policies. This study is the first to explore this event's public health impacts. First, using anonymized cell phone data, we document that foot traffic at restaurants/bars, retail establishments, and entertainment venues rose substantially at event locations. Stay‐at‐home behavior among local residents fell. Second, using a synthetic control approach, we find that the COVID‐19 case rate increased substantially in Meade County and in the state of South Dakota in the month following the Rally. Finally, using a difference‐in‐differences model to assess nationwide spread, we find that following the Sturgis event, counties outside of South Dakota that contributed the highest inflows of rally attendees experienced a 6.4–12.5% increase in COVID‐19 cases relative to counties without inflows. Our findings highlight that local policy decisions assessing the tradeoff between local economic benefits and COVID‐19 health costs will not be socially optimal in the presence of large contagion externalities.