Comparing cross‐country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets

Chotikapanich and Griffiths (Journal of Business and Economic Statistics, 2002, 20(2), 290–295) introduced the Dirichlet distribution to the estimation of Lorenz curves. This distribution naturally accommodates the proportional nature of income share data and the dependence structure between the shares. Chotikapanich and Griffiths fit a family of five Lorenz curves to one year of Swedish and Brazilian income share data using unconstrained maximum likelihood and unconstrained nonlinear least squares. We attempt to replicate the authors' results and extend their analyses using both constrained estimation techniques and five additional years of data. We successfully replicate a majority of the authors' results and find that some of their main qualitative conclusions also hold using our constrained estimators and additional data.     

Insider trading and stock prices

We examine the informational content of insider trades and its value to market investors using a US dataset. Overall, our results support the view that insider actions have positive predictive power for future returns. However, these results may come with some caveats. First, it is not the actions of all insiders (directors, officers and large shareholders) that have predictive power for future returns, but typically only those of directors and officers (senior management). Second, while director actions have predictive power for firm of all sizes, officers only have predictive power for small firms. The signal emanating from buys is stronger than the signal emanating from sells. Finally, the trading actions of directors, and to a lesser extent, officers have significant effects on the trading behaviour of other groups of insiders.     

Advertising and US alcoholic beverage demand: system-wide estimates

The effects of advertising on consumption of alcoholic beverages in the US are analysed. The goal is to obtain evidence on the importance of advertising at the level of beverage demand(beer, wine, spirits) and for total consumption of alcohol (per capita gallons of ethanol). A three-equation conditional demand system is estimated that includes own- and cros-beverage advertising as explanatory variables. Four models of the differential demand system are estimated, including the Rotterdam, AID, CBS, and NBR models, using annual US data for the period 1964-90 on beverage consumption, prices, expednitures, and real advertising. Estimates are obtained of the complete matrix of own- and cross-elascities for each beverage’ price and advertising. At the beverage level, the results indicate a positive butr very small effect of advertising on beverage consumption, with most of the impact due to wine advertising and non due to beer advertising. There is no efect of advertising in the composite demand function for alcohol. Hence, the results from system-wide modelling suggest that alcohol advertising serves to reallocate brand sales, with no effect on total ethanol consumption and very small effects on beverage consumption.     

Tobacco policy and tobacco use: differences across tobacco types,gender and age

Using state-level data for 1997, this paper studies the effectiveness of tobacco policies at reducing tobacco use across different population groups in the USA. The effectiveness of tax (price)-based and non-price tobacco policies are examined on tobacco prevalence (including cigarettes and smokeless tobacco) across gender and age. Besides shedding light on the efficacy of sub-national tobacco policies, the results also examine the extent of spillovers of policy actions across tobacco types. Significant differences in tobacco use are found across gender, age, policies, and between smoking and smokeless tobacco. Policy implications are discussed.     

The Influences of Economic and Technology Policy on the Dynamics of New Firm Formation

This study attempts to reveal how macroeconomic and technology policies that encompass the opportunity and individual drivers of entrepreneurship explain the dynamics of new firm formation in a country. To do so we rely on the Schumpeterian, industrial organization, and labor economics traditions of entrepreneurship, and performed an exploratory test with longitudinal U.S. data from 1968 to 1993. The results of this study suggest that R&D investments, patents, economic concentration, pro-competition policy, and labor mobility are important areas in which government policy can influence the intensity of new firm formation.     

The technology adoption life cycle attractor: Understanding the dynamics of high-tech markets

Unlike more stable industries, high-tech firms must constantly be in a strategy development phase. These companies are in desperate need of assistance in strategy formulation. This paper introduces a quantitative (rather than subjective) approach to help high-tech firms to understand their position in the technology adoption life cycle using some of the principles and tools of Chaos and Complexity theories. This approach is demonstrated by using data sets of three case studies in the hard drive, microprocessor, and server high-tech industries.     

An error-correction model of the demand for equity mutual funds in the U.S. 1973–1994

The purpose of this paper is to estimate an error-correction model of the U.S. demand for equity mutual funds. Using annual data for the period 1973–1994, this study finds that changes in the demand for equity mutual funds have been significantly influenced by the changes in the rate of return on equity mutual funds and savings deposits, as well as by the growth in income over the long run. The authors would like to thank an anonymous referee of this journal for many useful comments and suggestions.     

ALCOHOL MARKETING,ADOLESCENT DRINKING AND PUBLICATION BIAS IN LONGITUDINAL STUDIES: A CRITICAL SURVEY USING META‐ANALYSIS

Abstract This paper presents a meta‐analysis of prospective cohort (longitudinal) studies of alcohol marketing and adolescent drinking, which accounts for publication bias. The paper provides a summary of 12 primary studies of the marketing–drinking relationship. Each primary study surveyed a sample of youth to determine baseline drinking status and marketing exposure, and re‐surveyed the youth to determine subsequent drinking outcomes. Logistic analyses provide estimates of the odds ratio for effects of baseline marketing variables on adolescent drinking at follow‐up. Using meta‐regression analysis, two samples are examined in this paper: 23 effect‐size estimates for drinking onset (initiation); and 40 estimates for other drinking behaviours (frequency, amount, bingeing). Marketing variables include ads in mass media, promotion portrayals, brand recognition and subjective evaluations by survey respondents. Publication bias is assessed using funnel plots that account for ‘missing’ studies, bivariate regressions and multivariate meta‐regressions that account for primary study heterogeneity, heteroskedasticity, data dependencies, publication bias and truncated samples. The empirical results are consistent with publication bias, omitted variable bias in some studies, and lack of a genuine effect, especially for mass media. The paper also discusses ‘dissemination bias’ in the use of research results by primary investigators and health policy interest groups.     

Trust restoration: an examination of senior managers' attempt to rebuild employee trust

This article advances discussions surrounding the extent to which senior management can rebuild damaged trust relationships in a context where the founding principle of respect had been contravened. More specifically, our article is concerned with a senior management team's attempt to regain trust through addressing workplace bullying. The study draws on a quantitative methodology where the population of the case study organisation were surveyed (n = 206) at two points in time (2004 and 2007). The findings revealed that managements’ actions had a significant effect on perceptions of bullying. T‐tests, however, provided only partial support for the notion that trust had improved as a result of management actions. In particular, there were significant differences in the levels of loyalty and benevolent motives and also openness, whereas no significant changes were observed for other dimensions of trust (integrity, competence, consistency and respect).     

Comparing two diverse methods for generating perceptual maps: Multidimensional scaling versus the hand-drawn technique

Multidimensional scaling techniques have lately been subjected to criticism because of a supposed lack of reliability and validity. Yet, no alternative cognitive map-producing techniques have been suggested. The present research describes a graphic technique for developing cognitive maps and compares this technique to multidimensional scaling in terms of reliability and validity. The two techniques are also compared in terms of perceived subject difficulty in completing the tasks and the ability of each technique to predict future brand behavior.