Public-Private Partnerships and Prices: Evidence from Water Distribution in France

We use an original database of 5000 French local public authorities to explore the impact of organizational choice and performance as measured by consumer prices. In quantifying the impact of the choice of public-private partnerships (PPPs) on performance, we consider the related issue of the determinants of organizational choice. We estimate a switching regressions model to account for the endogeneity of organizational choice, and find that in our sample, (i) the choice by local public authorities to engage in a PPP is not random, and (ii) conditional on the choice of a PPP, consumer prices are significantly higher on average.     

Assessing Applied Protection across the World*

This paper presents MAcMap–HS‐6, a database providing a consistent, ad valorem equivalent measure of tariff duties and tariff rate quotas for 163 countries and 208 partners, at the six‐digit level of the Harmonized System (5111 products), accounting for all preferential agreements. We describe the methodology used to compute and aggregate an ad valorem equivalent of applied protection. Emphasis is placed on minimizing the endogeneity bias in the aggregation procedure, while acknowledging structural differences in export specialization. The resulting quantitative assessment is illustrated by giving an overview of applied protection across the world in 2001, in terms of average as well as distribution.     

Dividend Imputation and Shareholder Wealth: The Case of New Zealand

On April 1, 1988, New Zealand stopped the double taxation of dividends by implementing a full dividend imputation program. Because many believed that the tax advantage of debt had led to more highly leveraged firms subject to greater financial risk than was socially optimal, it was hoped the removal of incentives to finance with debt would result in a more efficient allocation of capital. The empirical results suggest that the shareholder wealth gain from dividend imputation was more than offset in firms with large debt levels. Moreover, an examination of debt ratios indicates debt levels declined in the post–imputation period.     

Age-test Markov chains for drug testing and detection

Random urinalysis strategies stratified by time since the last test are characterized with a set of Markov chain models. The probability of a person being tested depends on the amount of time since the person's last test. The Nuclear Regulatory Commission (NRC) has proposed a two strata drug testing strategy based on time since last test. The proposal included a high testing rate for people not yet tested in a given time period and a low testing rate for people testing negative in a given time period. Southern California Edison has implemented a variation of the NRC proposal. These strategies can be modeled within a Markov chain framework. Time to detection is calculated as a function of testing probabilities and drug usage levels. Drug user gaming strategies are discussed with illustrations. These models are implemented as part of a U.S. Navy drug policy analysis system.     

A model depicting the relations among perceived stressors,role conflict and organizational commitment: A comparative analysis of Hong Kong and the United States

As managers and employees from different cultures begin to encounter one another in the workplace, the need arises to understand how organizational variables relate differentially based on one's culture. This study attempts to provide a preliminary examination of the relationship between stressors, sources of conflict and job commitment across two differing cultures, specifically the United States and Hong Kong. Although more similarities than differences between the two cultures were found, this study provides at least preliminary evidence that members of different cultures may perceive some stressors differently and exhibit different relationships between stressors and work attitudes.     

Modeling Conditional Yield Densities

Given the increasing interest in agricultural risk, many have sought improved methods to characterize conditional crop-yield densities. While most have postulated the Beta as a flexible alternative to the Normal, others have chosen nonparametric methods. Unfortunately, yield data tends not to be sufficiently abundant to invalidate many reasonable parametric models. This is problematic because conclusions from economic analyses, which require estimated conditional yield densities, tend not to be invariant to the modeling assumption. We propose a semiparametric estimator that, because of its theoretical properties and our simulation results, enables one to empirically proceed with a higher degree of confidence.