Performance analysis of the Gulf hotel industry: A Malmquist index with bias correction

This study uses the Malmquist index with bias correction to analyze the performance of hotel chains from the UAE, Saudi Arabia and Oman. We show that Saudi Arabia hotel chains have the highest productivity growth, followed by the UAE and Omani hotel chains. A further decomposition of productivity indicates that a small number of hotel chains experienced an increase in revenues for lower occupancy rate, while most other hotel chains experienced an increase in occupancy rate for lower revenues. Related market discussions of the results are provided.     

Housing sales in urban Beijing

In the housing market, new properties sometimes experience delays before they are sold. Such delays reflect the preferences of buyers in respect of the homes’ characteristics. Therefore, it is important for managerial purposes to identify the causes of housing sales delays. After analysing the delays in sales of housing in Beijing City, China, the principal finding of this study is that delays are largely explained by the dwellings’ characteristics and location. Policy implications of the research findings, particularly those related to means of reducing the delays, are discussed.     

Productivity growth and biased technological change: Credit banks in Japan

This paper investigates the productivity change of Japanese credit banks with a Malmquist index and the input technological bias during 2000–2006. Our results indicate that the traditional growth accounting method, which assumes Hicks neutral technological change, is not appropriate for analyzing changes in productivity. Our analysis unambiguously shows that management of Shinkin banks has to be improved. These must be based on the improvement of technical efficiency and/or technological change, emulating the procedures of the best-practice banks, i.e., those banks with Malmquist productivity scores higher than one and simultaneously with technical efficiency and technological change higher than one.     

Waiting Lists and Patient Selection

We develop a positive model of waiting lists for public hospitals when physicians are able to divert patients from the public to the private sector. Public treatment is free but rationed, i.e., only cases meeting some medical criteria are admitted. Private treatment has no waiting time but entails payment of a fee. Physicians and patients take into account that each patient treated in the private practice reduces the waiting list for public treatment. We show that physicians do not necessarily end up treating the mildest cases from the waiting list. Our analysis is valid for a wide class of doctors' utility functions.     

Combining equilibrium,resampling, and analyst’s views in portfolio optimization

This paper proposes the use of a portfolio optimization methodology which combines features of equilibrium models and investor’s views as in Black and Litterman (1992), and also deals with estimation risk as in Michaud (1998). In this way, our combined methodology is able to meet the needs of practitioners for stable and diversified portfolio allocations, while it is theoretically grounded on an equilibrium framework. We empirically test the methodology using a comprehensive sample of developed countries fixed income and equity indices, as well as sub-samples stratified by geographical region, time period, asset class and risk level. In general, our proposed combined methodology generates very competitive portfolios when compared to other methodologies, considering three evaluation dimensions: financial efficiency, diversification, and allocation stability. By generating financially efficient, stable, and diversified portfolio allocations, our methodology is suitable for long-term investors such as Central Banks and Sovereign Wealth Funds.     

Technical efficiency of UK airports

In this paper, the random stochastic frontier model is used to estimate the technical efficiency of UK airports. The airports are ranked according to their productivity for the period 2000–2005 and homogenous and heterogeneous variables in the cost function are disentangled. These changes the ranking of the efficiency of UK airports compared to more conventional measures.     

A Bayesian stochastic frontier of Italian football

This study analyses the technical efficiency of Serie A Italian football clubs during the 2004–2012 seasons with a Bayesian stochastic frontier model using unique data extracted from clubs’ annual reports. Specifically, the focus of the study is on assessing the impact effects on clubs’ efficiency whether they are big clubs, they employ several foreign player, they compete in European competitions and their involvement with football scandals in the Italian football. The empirical results reveal that efficiency varies among the clubs analysed and policy implications are derived.     

Long memory and fractional integration in the housing price series of London and Paris

This article deals with the analysis of house price indexes from a long-range dependence viewpoint. In particular, it estimates the fractional differencing parameter in the London and Paris house price series recognizing in some cases the potential seasonality and allowing for breaks in the data. Moreover, it analyses the stability of the parameters across the sample period examined. It is concluded that the series are nonstationary but mean reverting in some cases and very persistent in others. Policy implications are derived.     

Investment and saving in Angola and the Feldstein–Horioka puzzle

This article analyses the relationship between investment and savings for Angola using the Feldstein–Horioka puzzle, with monthly data from January 2000 to December 2013. Integer and fractional integration and cointegration techniques are employed to investigate the relationship between investment and savings. Several regression specifications are employed, concluding that the Feldstein–Horioka puzzle is not validated for the Angolan economy. Policy implications are derived.