Social Welfare and Income Inequality in a System of Cities

This paper develops a general-equilibrium model of a system of core-periphery cities to examine the main determinants of intra- and inter-regional income disparities. The economy is populated by a continuum of (homogeneous) unskilled and (heterogeneous) skilled workers. Unskilled workers, whose wages are determined competitively, specialize in food production in local cities; skilled workers, whose wages are determined according to a Nash bargain, manufacture a high-tech commodity in the metropolis. We establish conditions under which this core-periphery equilibrium spatial configuration emerges. We show that both intra- and inter-regional income disparities are present; the determinants of each type of disparity and the social-welfare implications are fully investigated. Our results suggest that public policy programs that improve income equality may not be necessarily welfare enhancing.     

Historical resources, uncertainty and preservation values: An application of option and optimal stopping models

State agencies and private historical organizations frequently acquire historical sites with unknown characteristics. In this paper, we provide two approaches to evaluating the preservation decision. In the first approach, we show that a historical site which is not permanently preserved provides citizens with a certain flexibility whose value can be measured as an option on the maximum between the current real estate value and the preservation value. In the second approach, we assume that the organization has an infinite planning horizon and chooses the optimal sale date. Using a contingent valuation estimate of the public's willingness to pay for preservation of a specific historical site and the real estate price, we provide simulation values of the preservation option value and the optimal stopping rule.     

Determinants of the stock price reaction to leveraged buyouts

This paper investigates the determinants of leveraged buyout activity through the use of an abnormal return premium from the time of the first announcement through the final trading day. Consistent with the free. cash flow theory, firms with either high free cash flow or low Tobin’s q have higher abnormal returns. However, the returns to firms with both high free cash flow and low Tobin’s q are lower than firms with just one of these characteristics. Firms which substantially increase leverage and management buyouts with high insider ownership prior to the buyout have lower abnormal returns. Firms with lower risk, and therefore greater debt capacity, have higher abnormal returns.     

Modeling the day-of-the-week shopping activity and travel patterns

This research develops models that extend existing multi-day analyses of shopping activity patterns. The main hypothesis is that shopping activity choice behavior varies, depending on the day of the week. Using a nested logit model structure, this hypothesis is tested by developing models of daily activity choice behavior for each day of the week. In doing so, household activity choice behavior is represented by three stages, with a shopping activity participation decision as the highest stage, the scheduling decision as the next lower stage, and the number of shopping stops as the lowest stage. Empirical results confirm the nested logit model structure hypothesized in this study. Furthermore, it is found that major distinctions in the daily utility functions take place between the weekday and weekend models. However, differences among weekday models are also observed. This indicates that there appear to be behavioral differences even among weekdays although households are exposed to the same set of temporal constraints.     

Estimation of the scale matrix of a multivariate t-model under entropy loss

This paper deals with the estimation of the scale matrix of a multivariatet-model with unknown location vector and scale matrix to improve upon the usual estimators based on the sample sum of product matrix. The well-known results of the estimation of the scale matrix of the multivariate normal model under the assumption of entropy loss function have been generalized to that of a multivariatet-model. The paper is based on the first author’s unpublished Ph.D. dissertation ‘Estimation of the Scale Matrix of a Multivariate T-model’, University of Western Ontario, Canada. Present address: School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia.     

International Comparisons of Australia's Infrastructure Performance

International benchmarking has played a key role in the reform of Australia's infrastructure industries by promoting indirect or yardstick competition, in highlighting the need for further reform and building a consensus for implementing necessary changes. The international benchmarking of infrastructure performance by the Bureau of Industry Economics (BIE) between 1991 and 1996 did much to focus attention on the need for change. The BIE examined the performance of eight infrastructure industries relative to international best practice: electricity, rail freight, telecommunications, the waterfront, road freight, coastal shipping, aviation and gas supply. Performance comparisons concentrated on indicators of price, service quality, labour productivity and capital productivity. This paper reviews and summarises the performance comparisons the BIE undertook over the last three years of its infrastructure benchmarking program. The BIE international benchmarking program provides a useful role model for other countries wanting to seriously pursue reform of their infrastructure industries.     

Another view on optimal design for estimating the point of extremum in quadratic regression

In this paper we illustrate how certain design problems can be simplified by reparametrization of the response function. This alternative viewpoint provides further insights than the more traditional approaches, like minimax, Bayesian or sequential techniques. It will also improve a practitioner’s understanding of more general situations and their “classical” treatment.     

Office Romances: The New Battleground Over Employees' Rights to Privacy and the Employers' Right to Intervene

Office romances have increased dramatically as more men and women work together for prolonged periods. The article reviews reasons why office romances are flourishing, examines the corporate response to office romances, discusses the rights and responsibilities of employees, co-workers, and employers, and recommends courses of action for each.     

Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis

Improving productive efficiency is an increasingly important determinant of the future of the swine industry in Hawaii. This paper examines the productive efficiency of a sample of swine producers in Hawaii by estimating a stochastic frontier production function and the constant returns to scale (CRS) and variable returns to scale (VRS) output-oriented DEA models. The technical efficiency estimates obtained from the two frontier techniques are compared. The scale properties are also examined under the two approaches. The industry's potential for increasing production through improved efficiency is also discussed.     

Testing for unit roots in time series models with non-stationary volatility

Many of the key macro-economic and financial variables in developed economies are characterized by permanent volatility shifts. It is known that conventional unit root tests are potentially unreliable in the presence of such behaviour, depending on a particular function (the variance profile) of the underlying volatility process. Somewhat surprisingly then, very little work has been undertaken to develop unit root tests which are robust to the presence of permanent volatility shifts. In this paper we fill this gap in the literature by proposing tests which are valid in the presence of a quite general class of permanent variance changes which includes single and multiple (abrupt and smooth-transition) volatility change processes as special cases. Our solution uses numerical methods to simulate the asymptotic null distribution of the statistics based on a consistent estimate of the variance profile which we also develop. The practitioner is not required to specify a parametric model for volatility. An empirical illustration using producer price inflation series from the Stock–Watson database is reported.