Tactical Opportunities,Risk Attitude and Choice of Farming Strategy: an Application of the Distribution Method

When assessing farming strategies, it is important to account for the opportunities provided for tactically adjusting to outcomes of risk. The hypothesis that accounting for tactical adjustment is more important than accounting for risk attitude was supported in this study with regard to identifying the optimal drainage recirculation strategy for an irrigated dairy farm. Failing to account for tactical adjustment would lead to a sub-optimal choice, costing the farmer about A$3 100 in present value terms. In contrast, failing to account for risk aversion would not affect the strategy chosen. The distribution method was found to be well suited to modelling tactical adjustment.     

OPTIMAL FORECAST COMBINATION UNDER REGIME SWITCHING*

This article proposes a new forecast combination method that lets the combination weights be driven by regime switching in a latent state variable. An empirical application that combines forecasts from survey data and time series models finds that the proposed regime switching combination scheme performs well for a variety of macroeconomic variables. Monte Carlo simulations shed light on the type of data‐generating processes for which the proposed combination method can be expected to perform better than a range of alternative combination schemes. Finally, we show how time variations in the combination weights arise when the target variable and the predictors share a common factor structure driven by a hidden Markov process.     

Condition-Based Depreciation — The Engineering Perspective

Condition-based depreciation (CBD) is a method of accounting for the combined maintenance and renewal effort required to ensure infrastructure asset networks retain their service potential. CBD methods entail the calculation of an annuity based on detailed asset management plans, which forecast works programs over the foreseeable lifecycle of the network and link them to service need projections. CBD has not gained wide acceptance by the accounting profession, because of concerns about the methos underlying assumptions and potential problems with its application. These concerns are analysed from the perspective of the engineering profession (which is frequently the custodian of such assets), and the feasibility of the method demonstrated in a number of case studies.     

Statistical Decision Problems and Bayesian Nonparametric Methods

This paper considers parametric statistical decision problems conducted within a Bayesian nonparametric context. Our work was motivated by the realisation that typical parametric model selection procedures are essentially incoherent. We argue that one solution to this problem is to use a flexible enough model in the first place, a model that will not be checked no matter what data arrive. Ideally, one would use a nonparametric model to describe all the uncertainty about the density function generating the data. However, parametric models are the preferred choice for many statisticians, despite the incoherence involved in model checking, incoherence that is quite often ignored for pragmatic reasons. In this paper we show how coherent parametric inference can be carried out via decision theory and Bayesian nonparametrics. None of the ingredients discussed here are new, but our main point only becomes evident when one sees all priors—even parametric ones—as measures on sets of densities as opposed to measures on finite-dimensional parameter spaces.     

Initial public offerings in the gaming industry: an empirical study

The fastest growing segment of the hospitality industry is gaming-related business. This industry has experienced record numbers of companies going public, and their stocks are considered favorable long-term investments. Research in the initial public offering (IPO) area suggests that investors acquiring stock at the initial offering price earn large returns. The purpose of this study was to determine if large returns are being experienced for IPOs in the gaming segment of the hospitality industry, and if these large returns were limited to investors who purchased the stock at the initial offer price. There were 14 gaming-related companies selected for the study. The conclusions supported research reporting that the highest returns from IPO investments are made when the stock is purchased at the initial offer price. This study concludes that returns based on the initial offer price were greater than the casino index and the IPO index. When the investor purchased the stock at the first day's closing price, however, returns compared to the two indices were surpassed only after holding the stock for 8 weeks.     

Integration in the mortgage market

The deregulatory trend and advances in technology during the 1980s removed many restrictions on the ability of U.S. depository financial institutions to obtain and redistribute funds across diverse geographical markets. This pervasive deregulation and innovation should have increased the degree of integration between different geographical financial markets. Yet there is little empirical evidence available on the validity of this expectation. It is important to provide such evidence since much of the U.S. depository institution regulatory policy is predicated on the assumption of highly localized, segmented financial markets. Considering alternative breakpoints at 1980 (DIDMCA) and at 1982 (Garn-St Germain), the current study tests the hypothesis that the degree of geographical financial integration after this period exceeded that prior to this period. Mortgage markets are focused on due to their historical importance in the regulation of funds flows. The study finds a significant increase in the mean contemporaneous correlation among FHLB districts' mortagage rate residuals in a vector-autoregressive system between two test periods. Further analysis shows that the distance between FHLB districts' headquarters and their respective pairwise interdistrict correlation coefficients are negatively related in the prior period but not significantly related in the later period. Economic booms and busts alternated among the districts over the two sample periods in a manner consistent with the reallocation of capital among more integrated financial markets. Individual districts' mortgage rates have been more sensitive to variations in national credit market conditions since deregulation was legally recognized by DIDMCA in 1980. Thus, the collective empirical evidence found in this study indicates that mortgage markets have responded to deregulation and marked technological advances by moving toward a national, highly integrated market. Regulators' preoccupation with highly localized, segmented markets must consequently be reexamined.     

Canadian and American Reactions to Drug and Alcohol Testing Programs in the Workplace

We investigated U.S. and Canadian reactions to workplace drug and alcohol testing programs. Canadian truck drivers (n = 183) deemed drug and alcohol testing policies less fair, and were less accepting of these policies, than their American counterparts (n = 153). We also compared the perspectives of recipients versus third-party observers with regard to their reactions to a drug testing program. Unlike the pattern observed among American observers, the responses by Canadian observers were highly similar to those of the recipients. Canadian observers were more inclined to file a formal protest regarding the implementation of a drug and alcohol testing program than were U.S. observers. The results also showed that procedural and interactional justice principles contributed to the program's fairness, acceptance, and lower levels of protest intentions in both Canada and the United States. We propose that scholars and practitioners can gain a better understanding of multinational reactions to drug and alcohol testing by considering not only cultural but also historical, social, political, and other environmental factors that can shape reactions to personnel practices.     

Trade intensity,country size and corruption

Abstract. Several authors claim to provide evidence that governmental corruption is less severe in countries where trade intensity is higher or populations are smaller. We argue that theory is highly ambiguous on these questions, and demonstrate that empirical links between corruption and trade intensity – or country size, strongly related to trade intensity – are sensitive to sample selection bias. Most available corruption indicators provide ratings only for those countries in which multinational investors have the greatest interest: these tend to include almost all large nations, but among small nations only those that are well-governed. We find that the relationship between corruption and trade intensity disappears, using newer corruption indicators with substantially increased country coverage. Similarly, the relationship between corruption and country size weakens or disappears using samples less subject to selection bias. Received: July 2001 / accepted: April 2002 We thank Anand Swamy and two anonymous referees for helpful comments and suggestions, Paul Schorosch for able research assistance, and Ray Fisman, Roberta Gatti, Aart Kraay, and Shang-jin Wei for kindly providing data. The conclusions of this paper are not intended to represent the views of the World Bank, its Executive Directors, or the countries they represent.