A new coincident index of business cycles based on monthly and quarterly series

Popular monthly coincident indices of business cycles, e.g. the composite index and the Stock–Watson coincident index, have two shortcomings. First, they ignore information contained in quarterly indicators such as real GDP. Second, they lack economic interpretation; hence the heights of peaks and the depths of troughs depend on the choice of an index. This paper extends the Stock–Watson coincident index by applying maximum likelihood factor analysis to a mixed‐frequency series of quarterly real GDP and monthly coincident business cycle indicators. The resulting index is related to latent monthly real GDP. Copyright © 2002 John Wiley & Sons, Ltd.     

Can Collective Intentionality Be Individualized?

A BSTRACT . Searle's philosophical construction of social reality has three basic "building blocks": collective intentionality, constitutive rules, and the imposition of functions. This article will focus on the first of these, collective intentionality, which is taken to be the central span on the bridge from physics to society. Searle analyzes this notion in terms of his own internalist theory of intentionality. In his view, we could have all the collective intentionality we have even if we were a brain in a vat, i.e., even if we were radically mistaken about the outside world. It will be argued that such an internalist view of collective intentionality cannot capture normative aspects of social phenomena. Social reality requires a radical relational approach.     

The Effects of Participation and Job-Relevant Information on the Relationship Between Evaluative Style and Job Satisfaction

This study investigates the intervening effects of budgetary participation and job-relevant information on the relationship between budget emphasis and job satisfaction. It proposes that budgetary participation and job-relevant information are endogenous to budget emphasis. Using the path analytical technique and based on a sample of 152 senior managers, the study found that budget emphasis has an insignificant direct effect on job satisfaction, but a strong indirect effect through job-relevant information and budgetary participation. The results also indicate that job-relevant information has an intervening effect on the relationship between participation and job satisfaction.     

Estimating the Size of a Criminal Population from Police Records Using the Truncated Poisson Regression Model

The truncated Poisson regression model is used to arrive at point and interval estimates of the size of two offender populations, i.e. drunk drivers and persons who illegally possess firearms. The dependent capture–recapture variables are constructed from Dutch police records and are counts of individual arrests for both violations. The population size estimates are derived assuming that each count is a realization of a Poisson distribution, and that the Poisson parameters are related to covariates through the truncated Poisson regression model. These assumptions are discussed in detail, and the tenability of the second assumption is assessed by evaluating the marginal residuals and performing tests on overdispersion. For the firearms example, the second assumption seems to hold well, but for the drunk drivers example there is some overdispersion. It is concluded that the method is useful, provided it is used with care.     

Price Cap Regulation in the Cable Television Industry: Why was the Demand Stagnant?

During the period of 1992 to 1996, the cable television industry in the United States was regulated by the FCC, which took several price cap measures. As a result, the increase in the price cable service substantially slowed. However, the cable demand did not rise as anticipated. Using a model of imperfectly discriminating monopoly, the paper empirically investigates this curious phenomenon of stagnant demand despite lower prices. The paper finds that the FCC's price capping constrained both demand and prices. The demand was constrained since the price cap was designed to cover almost all TV channels carried by cable systems, and subsequently discouraged cable systems from meeting different customer preferences with multi-tier services.     

A comparison of several approximations to the power function of the likelihood ratio test in covariance structure analysis*

In this paper we compare alternative asymptotic approximations to the power of the likelihood ratio test used in covariance structure analysis for testing the fit of a model. Alternative expressions for the noncentrality parameter (ncp) lead to different approximations to the power function. It appears that for alternative covariance matrices close to the null hypothesis, the alternative ncp's lead to similar values, while for alternative covariance matrices far from H_o the different expressions for the ncp can conflict substantively. Monte Carlo evidence shows that the ncp proposed in Satorra and Saris (1985) gives the most accurate power approximations.