Towards a More Complete Efficiency Wage Theory

The efficiency wage is an important topic in the theory of employment. In a traditional efficiency wage model, only the representative firm is optimizing against an assumed S‐shaped effort supply function. This S‐shaped supply curve is critical for the model and the absence of a derivation of the curve in the literature means that it is an incomplete theory. In the present paper, we extend the model by specifying a worker's representative utility function so that the corresponding argmax function will be the S‐shaped effort supply curve. This will make the worker's decision process endogenous and will produce a more complete model. The importance of this extension is clear. The characterization of the utility function will make explicit the necessary conditions and crucial assumptions of the traditional model. More importantly, the extension will allow researchers to introduce employment compensation factors into the worker's utility function for analysis. This has important bearings on future development in employment theory. For example, a worker's satisfaction from shirking (net of dismissal risks), or his or her willingness to search for jobs (net of search cost), can now be included in his or her utility function to form an optimal work or search strategy. Incorporating the worker's optimization behaviour into the model will also enable researchers to study policy directed not just towards firms but also towards the worker's decision process. Furthermore, this approach provides a framework for researchers to generate comparative statics. These comparative statics can lead to interesting topics for econometric models or to further research within this field.     

Women-friendly HRM good for QWL? The case of Hong Kong based companies

Organizations in Hong Kong were surveyed to gauge how women-friendly they were and how their human resource managers viewed the effect of women-friendly HRM policies and practices on employees' quality of work life. It was found that only about half of the policies mentioned in the questionnaire were practised by less than 10 per cent of the organizations. Principal component analysis conducted showed that organizational women-friendliness was multi-facet in nature. Using these facets - women friendly dimensions (WFDs) - as criteria and controlling for size, the study found that firms with American and European origins were more women-friendly than Hong Kong firms. Furthermore, when American companies were compared to Hong Kong companies, it was on the WFD of career development that the former were significantly higher than the latter. In contrast, when comparing European organizations with Hong Kong organizations, it was the WFD of flexibility on which the two differed most markedly.     

Viewpoint: Boosting Recessions

This paper explores the effectiveness of boosting, often regarded as the state of the art classification tool, in giving warning signals of recessions 3, 6, and 12 months ahead. Boosting is used to screen as many as 1,500 potentially relevant predictors consisting of 132 real and financial time series and their lags. Estimation over the full sample 1961:1–2011:12 finds that there are fewer than 10 important predictors and the identity of these variables changes with the forecast horizon. There is a distinct difference in the size and composition of the relevant predictor set before and after mid‐1980. Rolling window estimation reveals that the importance of the term and default spreads are recession specific. The Aaa spread is the most robust predictor of recessions three and 6 months ahead, while the risky bond and 5‐year spreads are important for 12 months ahead predictions. Certain employment variables have predictive power for the two most recent recessions when the interest rate spreads were uninformative. Warning signals for the post‐1990 recessions have been sporadic and easy to miss. The results underscore the challenge that changing characteristics of business cycles pose for predicting recessions.     

Estimation of a dynamic model of weight

The ongoing debate about the economic causes of obesity has focused on the changing relative prices of diet and exercise. This paper uses a model that explicitly includes time and spatially varying community-level urbanicity and price measures as instruments to obtain estimates of the effects of diet, physical activity, drinking, and smoking on weight. The instruments control for bias due to unobservables that may be common determinants of weight and these explanatory variables. We apply a dynamic panel system GMM estimation model to longitudinal (1991–2006) data from China to model weight and find that among adult men in China, about 5.4% of weight gain was due to declines in physical activity and 2.8–3.1% was due to dietary changes over this period. Combined, changes in physical activity and diet only explain around 8% of the short run gain in weight and about 11% of the long-run gain in weight among Chinese men.     

Strategies of biotechnology companies

To identfy the R&D and marketing strategies adopted by by biotechnology firms in the UK, a survey was conducted spanning a range of biotechnology firm size, product, organizational arrangemens. and prior experiences with advanced technology. This was done using a comprehensive questionnaire similar to that used in a comparable investigation in the USA. Twenty-three firms active principally engaged in speciality chemicals human diagnostics and agricultural products.The information from the questionnaires was used to analyse the company strategies under three man headings. These were technology acquisitation,marketing and R&D. Companies were charecterized into three clusters within each of these headings. The means of appropriation for different strategies were then examined although the significance of the results was undermined by the small size. Finally, the relationship between R&D and marketing strategies within the same firms was investigated.     

Are more data always better for factor analysis?

Factors estimated from large macroeconomic panels are being used in an increasing number of applications. However, little is known about how the size and the composition of the data affect the factor estimates. In this paper, we question whether it is possible to use more series to extract the factors, and yet the resulting factors are less useful for forecasting, and the answer is yes. Such a problem tends to arise when the idiosyncratic errors are cross-correlated. It can also arise if forecasting power is provided by a factor that is dominant in a small dataset but is a dominated factor in a larger dataset. In a real time forecasting exercise, we find that factors extracted from as few as 40 pre-screened series often yield satisfactory or even better results than using all 147 series. Weighting the data by their properties when constructing the factors also lead to improved forecasts. Our simulation analysis is unique in that special attention is paid to cross-correlated idiosyncratic errors, and we also allow the factors to have stronger loadings on some groups of series than others. It thus allows us to better understand the properties of the principal components estimator in empirical applications.     

The Business School ‘Business’: Some Lessons from the US Experience*

US business schools dominate the business school landscape, particularly for the MBA degree. This fact has caused schools in other countries to imitate the US schools as a model for business education. But US business schools face a number of problems, many of them a result of offering a value proposition that primarily emphasizes the career‐enhancing, salary‐increasing aspects of business education as contrasted with the idea of organizational management as a profession to be pursued out of a sense of intrinsic interest or even service. We document some of the problems confronting US business schools and show how many of these arise from a combination of a market‐like orientation to education coupled with an absence of a professional ethos. In this tale, there are some lessons for educational organizations both in the US and elsewhere that are interested in learning from the US experience.     

Long‐Lived Consumers,Intertemporal Bundling and Collusion

In a repeated price game with long but finitely‐lived consumers, long‐term contracts facilitate collusion. Intertemporal bundling reduces the gains from business stealing but has little effect on the cost of the resulting price war. When consumers anticipate future price wars, the maximum deviation profit is a single period of consumer surplus per consumer. Hence long‐term contracts do not increase the incentive to deviate per consumer, but do reduce the the number of consumers currently in the market by locking them into past contracts, so tacit collusion is sustainable for a wider range of discount factors and market structures.     

Should a ‘Natural Monopolist‘ Be Subject to Competition?: With Special Reference to Cellular Mobile Telephone Services in Australia

The argument against competition based on natural monopoly is questioned. A true natural monopolist needs no protection. Rapid product innovation and technical advance render the telecommunications industry not a natural monopolist.
Telephones may involve two sources of external benefits: benefits to callers and benefits to receivers. Neither source justifies treating country areas more favourably since the access externality also applies, probably with larger magnitudes, to metropolitan areas.
The Cellular Mobile Telephone Service (CMTS) involves the use of parts of the radio frequency spectrum. The spectrum should be treated as a scarce resource. Competitive bidding is probably the most efficient method of allocation if the whole spectrum is to be reallocated. However, with only a small band allocated to CMTS, auctioning need not be the most efficient outcome though it is better than maintaining its monopolised usage.
Even if competition results in a higher cost initially, the gain in dynamic efficiency can offset this initial loss. A minimum estimate of the benefits to the public of introducing competition in CMTS gives a present value of $2.4 billion.