The ‘Polychronicity - Multiple Media Use’ (P-MMU) scale: a multi-dimensional scale to measure polychronicity in the context of multiple media use

Our paper details the development of a new multidimensional scale to measure polychronicity, ‘the preference for multiple media use’ (the P-MMU). Previous measures of polychronicity are predominantly developed for an organisational context, or do not reflect the complexity required for the measurement of the behavioural phenomenon of multiple media use, within the context of Integrated Marketing Communications. Scale development procedures follow a review of literature and prior qualitative study, uncovering motives for individuals’ preference for multiple media use. The nine dimensional P-MMU scale demonstrates stability across two data sets, using a total sample of 317 Digital Natives. In the evolving research area of multiple media use, the P-MMU scale provides an appropriate measure for the study of this phenomenon.     

Cross-Sectional Evolution of the U.S. City Size Distribution

We report nonparametrically estimated stochastic transition kernels for the evolution of the distribution of U.S. metropolitan area populations, for the period 1900 to 1990. These suggest a fair amount of uniformity in the patterns of mobility during the study period. The distribution of city size is predominantly characterised by persistence. Additional kernel estimates do not reveal any stark differences in intra-region mobility patterns. We characterise the nature of intra-size distribution dynamics by means of measures that do not require discretisation of the city size distribution. We employ these measures to study the degree of mobility within the U.S. city size distribution and, separately, within regional and urban subsystems. We find that different regions show different degrees of intra-distribution mobility. Second-tier cities show more mobility than top-tier cities.     

Forecasting tourist arrivals using origin country macroeconomics

This study utilizes both disaggregated data and macroeconomic indicators in order to examine the importance of the macroeconomic environment of origin countries for analysing destinations’ tourist arrivals. In particular, it is the first study to present strong empirical evidence that both of these features in tandem provide statistically significant information of tourist arrivals in Greece. The forecasting exercises presented in our analysis show that macroeconomic indicators conducive to better forecasts are mainly origin country-specific, thus highlighting the importance of considering the apparent sharp national contrasts among origin countries when investigating domestic tourist arrivals. Given the extent of the dependency of the Greek economy on tourism income and also the perishable nature of the tourist product itself, results have important implications for policymakers in Greece.     

Herding,Faith-Based Investments and the Global Financial Crisis: Empirical Evidence From Static and Dynamic Models

The purpose for this article is to explore the existence of herding behavior in the context of Shariah-based ethical investments. To this end the authors have employed the highly liquid constituent stocks of the U.S. Dow Jones Islamic Index for the period January 2007 to December 2014. The methodology encompasses both static and dynamic models that capture potential time-varying patterns or asymmetric behavior of herding. Summarizing the results, the authors document significant antiherding behavior that is robust across different formulations and testing procedures. Most interestingly, they observe an asymmetric behavior of the antiherding phenomenon. Results from the dynamic analysis reveal that antiherding tends to be more intense during turbulent periods. The findings may entail useful implications for investors who wish to diversify their portfolios using faith-based investments.     

On temporary layoffs and job search theory

This note explores some properties of job search models in which layoff status to a particular job may be considered as a job offer which is conditional on having been employed at that job.     

Prestigious stock exchanges: A network analysis of international financial centers

In this paper, we use methods from social network analysis to assess the relative importance of financial centers around the world. Using data from virtually the entire universe of global equity activity, we present complete rankings for 45 separate locations for the period 1990–2006. Our analysis constructs a network measure of prestige based on their ability to attract global IPOs. U.S. exchanges are effectively the unique hosts for cross-border equity activity from many other locations. Moreover, they are the destination of choice for most companies coming from locations with highly prestigious exchanges. We also document the emergence of several competing stock exchanges from developed and emerging market economies. The ascent of these stock markets, however, might reflect improved conditions in a growing global market rather than a decline in the competitiveness of U.S. exchanges.     

The estimation of a state space model by estimating functions with an application

Conventionally the parameters of a linear state space model are estimated by maximizing a Gaussian likelihood function, even when the input errors are not Gaussian. In this paper we propose estimation by estimating functions fulfilling Godambe's optimality criterion. We discuss the issue of an unknown starting state vector, and we also develop recursive relations for the third- and fourth-order moments of the state predictors required for the calculations. We conclude with a simulation study demonstrating the proposed procedure on the estimation of the stochastic volatility model. The results suggest that the new estimators outperform the Gaussian likelihood.