On Voters' Attitudes Towards Unemployment Insurance Subsidies across Regions: A Canadian Simulation

The Canadian unemployment insurance program is designed to reflect the varying risk of joblessness across regions. Regions that are considered low-risk areas subsidize higher risk ones. A region's risk is typically proxied by its relative unemployment rate. We use a dynamic, heterogeneous-agent model calibrated to Canada to analyze voters preferences between a uniformly generous unemployment insurance and the current system with asymmetric generosity. We find that Canada's unusual unemployment insurance system is surprisingly close to what voters would choose in spite of the possibilities of moral hazard and self-insurance through asset build-up.

Efficient Production of Wins in Major League Baseball

Data Envelopment Analysis (DEA) is applied to Major League Baseball salary and performance data from 1985 to 2006 in order to identify those teams which produced wins most efficiently and the characteristics which lead to efficient production. It is shown that on average both National and American League teams over allocate the most resources to first basemen. Additionally, it is found that National League teams should allocate significantly more resources towards starting pitching while American League teams should allocate significantly more resources toward second base. It is also observed that efficient teams use younger less experienced players and employ rosters with a greater number of previous all star appearances.

A Principal-Agent Model of Contracting in Major League Baseball

Traditional economic analyses of the reserve clause in major league baseball view it as having arisen from the superior bargaining of owners compared to players. This article interprets it instead as promoting efficient investment by teams in player development, given the transferability of player skills to other teams. Using a principal-agent framework, the article shows that limited player mobility emerges as part of the optimal contract between players (principals) and teams (agents).

Dynamic Stock Market Interactions between the Canadian, Mexican, and the United States Markets: The NAFTA Experience

This paper explores the dynamic linkages that portray different facets of the joint probability distribution of stock market returns in NAFTA (i.e., Canada, Mexico, and the US). Our examination of interactions of the NAFTA stock markets considers three issues. First, we examine the long-run relationship between the three markets, using cointegration techniques. Second, we evaluate the dynamic relationships between the three markets, using impulse-response analysis. Finally, we explore the volatility transmission process between the three markets, using a variety of multivariate GARCH models. Our results also exhibit significant volatility transmission between the second moments of the NAFTA stock markets, albeit not homogenous. The magnitude and trend of the conditional correlations indicate that in the last few years, the Mexican stock market exhibited a tendency toward increased integration with the US market. Finally, we do note that evidence exists that the Peso and Asian financial crises as well as the stock-market crash in the US affect the return and volatility time-series relationships.