Build it and they will come: Volunteer opportunities and volunteering

Formal volunteering refers to an individual's unpaid contribution of time to the activities of a charitable or non-profit organization. While the physical presence of these organizations is usually required for citizens who want to volunteer, neighbourhoods vary with respect to the amount of volunteering opportunities available. We are the first to geo-code information on the location of registered charities and the location of individuals, using full six-digit postal codes, to examine how the physical proximity of charities affects the decision to volunteer. We carefully address the possibility that proximity to charities might be endogenous: organizations and volunteers may respond to similar unobservable factors when deciding where to locate. Our results imply that access does matter for the decision to volunteer: one more charity within a 1 km buffer around an individual's residence increases the predicted probability of volunteering by 0.8%. The impact of an additional charity on the likelihood of volunteering decreases with distance from the individual's residence and is more pronounced for urban dwellers, providing further evidence that the location of charities matters when it comes to nudging individuals to volunteer.     

Scale and scope economies for drug abuse treatment costs: evidence for Washington State

Drug abuse treatment has been pervasive in the US in the recent years, and the associated direct treatment costs approached $18 billion in 2001. However, there have been few published studies on scale economies, and none on scope economies, for drug abuse treatment costs. We estimate a restricted cost function for 17 hospitals in Washington State that provided inpatient and/or outpatient drug abuse treatment during the years 1997–2004. We find significant evidence of scale economies for hospitals that provide only outpatient drug abuse treatment services. The marginal costs of outpatient services are even smaller for hospitals that produce both outpatient and inpatient drug abuse treatment services. Further, these joint-production hospitals exhibit diseconomies of scope, or specialization economies. These results all imply that recent trends towards additional outpatient treatment services will enhance cost efficiency.     

Between mathematical formalism,normative choice rules,and the behavioural sciences: The emergence of rational choice theories in the late 1940s and early 1950s

Abstract

This paper discusses why mathematical economists of the early Cold War period favored formal-axiomatic over behavioral choice theories. One reason was that formal-axiomatic theories allowed mathematical economists to improve the conceptual and theoretical foundations of economics and thereby to increase its scientific status. Furthermore, the separation between mathematical economics and other behavioral sciences was not as clear-cut as often argued. While economists did not modify their behavioral assumptions, some acknowledged the empirical shortcomings of their models. The paper reveals the multifaceted nature of rational choice theories reflected in the changing interpretations and roles of the theories in those early years.     

Foetal Exposure to Air Pollution and Students' Cognitive Performance: Evidence from Agricultural Fires in Brazil*

This paper examines the impact of foetal exposure to air pollution from agricultural fires on Brazilian students' cognitive performance later in life. We rely on comparisons across children who were upwind and downwind of the fires while in utero to address concerns around sorting and temporary income shocks. Our findings show that agricultural fires increase $$, resulting in significant negative effects on pupils' scores in Portuguese and Maths in the $$ grade through prenatal exposure. Back-of-the-envelope calculations suggest that a 1% reduction in $$ from agricultural burning has the potential to increase later life wages by 2.6%.     

Noisy chaotic dynamics in commodity markets

The nonlinear testing and modeling of economic and financial time series has increased substantially in recent years, enabling us to better understand market and price behavior, risk and the formation of expectations. Such tests have also been applied to commodity market behavior, providing evidence of heteroskedasticity, chaos, long memory, cyclicity, etc. The present evaluation of futures price behavior confirms that the resulting price movements can be random, suggesting noisy chaotic behavior. Prices could thus follow a mean process that is dynamic chaotic, coupled with a variance that follows a GARCH process. Our conclusion is that models of this type could be constructed to assist in forecasting prices in the short run but not over long run time periods.First version received: June 2001/Final version received: March 2003     

Order imbalance and stock returns: Evidence from China

We investigate the relation between daily order imbalance and return in the Chinese stock markets of Shenzhen and Shanghai. Prior studies have found that daily order imbalance is predictive of subsequent returns. On the two Chinese exchanges we find the autocorrelation in order imbalances is similar to that of the New York Stock Exchange as reported by Chordia and Subrahmanyam [Chordia, T., & Subrahmanyam, A. (2004). Order imbalance and individual stock returns: Theory and evidence. Journal of Financial Economics, 72, 485–518]. We also find a strong contemporaneous relation between daily order imbalances and returns. However, we do not find evidence that order imbalances predict subsequent returns. We attribute the difference in predicative power to differences in trading mechanisms on the two exchanges and to differences in the share turnover rates.     

Destabilizing role of futures markets on North American hard red spring wheat spot prices

The objective of the paper is to determine if the futures prices of hard red spring wheat (HRSW) have stabilizing or destabilizing impact on spot HRSW price in North America. Several important results emerge from thorough empirical analysis. First, both Granger causality tests and directed acyclic graph algorithms (DAGs) point to two-way causality between futures and spot HRSW prices and thus endogeneity in both prices formation. To the contrary, both procedures suggest that ending stocks are exogenous to spot and futures HRSW prices. Both vector error correction model and impulse response functions point to a large and long-lasting impact of a shock to futures price on spot price level. Finally, variance decomposition analysis indicates that futures prices are responsible for the bulk of spot price volatility in both short and long run. Our result is consistent with those of theoretical models suggesting that when production (supply side) is the dominant disturbance, spot price is destabilized in both the short and the long run by futures prices. An important implication of this research is the need for alternative market mechanisms or alternative farm policy measures that would mitigate price risk and ensure sustainable farming of American HRSW farmers.