Monte Carlo theoretical trials of methods for assessing statistical significance for differences between adjusted odds ratios

Odds are generally defined as the number of successes divided by the number of failures in a given number of trials. An odds ratio is the ratio of one odds divided by another. Odds ratios can be adjusted to reflect associations with the outcome independently of the influence of associations with other variables. These are adjusted odds ratios. There are several well known methods for comparing odds ratios and testing for statistically significant differences between them. Analogous methods for adjusted odds ratios are not well known or well documented. One method for comparing adjusted odds ratios is explained by Hosmer and Lemeshow (Applied logistic regression, 2000). This method is used for the odds ratios for two variables from the same data set. The purpose of this analysis was to apply this method to a different situation: comparing odds ratios for the same variable from two different data sets. Monte Carlo trials were used to assess the performance of the method and these indicated the method performed well.     

Innovation Economy,Productive Public Expenditure and Economic Growth

Multidisciplinary innovation is the main engine of growth for an increasing number of economies. Innovation requires the participation of and interaction between all economic agents. It also requires public spending on education, research and infrastructures. Our main goal is to emphasize the government's role in a growing innovation economy. Developing a non‐scale, idea‐based, one‐sector growth model with complementarities and productive public expenditure, we analyse theoretically the growth effects of an increase in productive public expenditure, which we find positive in the short, medium and long run.     

Modeling and Extrapolating Wheat Producer Support Using Income and Other Factors

Using wheat market support data from 55 countries for 1961–2011 from the World Bank Agricultural Distortion database, we develop a fixed effect model that shows a more complicated, nonlinear relationship between income and wheat support and its components than previously realised. We find that income generally has a greater effect on border market price support than on domestic price support. Moreover, the difference between these types of support is greater for net importers than for net exporters and has increased with the URAA or WTO accession. Holding other variables constant, the wheat support level of China, driven mainly by border market price support, is projected to rise with future income growth. Meanwhile, Japan is projected to maintain its high level of support, while the US and EU are projected to maintain their lower levels of support. These results are relevant in the context of multilateral trade negotiations, arguing against a narrow focus on past or current policy profiles and for long‐run analyses that might mistakenly rest on the inconsistent assumptions of constant agricultural policies against the backdrop of rising incomes.     

Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.     

Casinos,casino size,and crime: A panel data analysis of Michigan counties

Growth in legal gaming in the United States over the past quarter century or so is well-documented. One important factor fueling this growth was the passage of the Indian Gaming Regulatory Act of 1988, which permitted Native American tribes to establish, under agreements or “compacts” with the states in which they are located, casinos offering what is known as Class III gaming: slot machines, blackjack, roulette, and other games. Since the passage of the Act, there have been 21 Native American casinos established in Michigan. Also, three non-Native American casinos opened in Detroit in 1999 and 2000. This growth in the number of casinos has sparked a wide-ranging debate over the social and economic impacts of casino development.The purpose of this research is to focus on the crime issue in the broader casino debate. We investigate the impact of these Michigan casinos on the rates of burglary, robbery, larceny and motor vehicle theft (property crimes) in casino host counties as well as in nearby counties. We employ a panel data set with annual observations on all 83 Michigan counties for the period 1994–2010. The dataset includes crime rates taken from the FBI crime data series, variables for the presence of a casino in a county or in a nearby county, the scale of a casino's operations as measured by revenues, and a variety of control variables suggested by the broader literature investigating the factors that determine crime rates generally.Our results suggest that in most cases the property crime rates studied are not affected by the presence or size of a casino in a county or in a nearby county. The largest such impact, which is negative, is for motor vehicle theft. The size of a casino does have a small positive effect on the motor vehicle theft rate.     

‘Good when they want to be’: migrant workers in the supermarket supply chain

Despite the increased attention paid to the role and effects of migrant labour in the contemporary economy, there has been insufficient attention to the role of employers and the employment relationship. Recent studies have highlighted distinctive labour power characteristics of new labour migrants from Central and Eastern Europe that make them ‘good workers’ in the eyes of employers. Drawing on multiple case studies across the supermarket supply chain, this article explores what kind of human resource migrant labour is perceived to be, particularly by employers, and what happens in practice as the dynamic tensions of the employment relationship unfolds in particular sector contexts. It argues that utilisation is conditioned more by the requirements of temporal flexibility – framed by the dynamics of employment within the supply chain – than any essential features of migrant labour power.     

Estimating the Heckscher–Ohlin model: Inverting the inverse matrix

This paper estimates the Heckscher–Ohlin model with annual US data from 1949 to 2006 for outputs of manufactures and services with inputs of fixed capital assets and the labor force. Difference equation and error correction regressions provide estimated coefficients for the comparative static system. Tariffs on manufactures primarily raise the capital return in the estimated Stolper–Samuelson results. Factor price equalization does not hold for labor and capital. Inverting the estimated system inverse matrix provides evidence on production. The suggestions are capital biased production of manufactures, strong substitution of capital for labor, and strong labor substitution in manufactures.     

Profiling employees online: shifting public–private boundaries in organisational life

Profiling involves the collection and use of online information about prospective and current employees to evaluate their fitness for and in the job. Workplace and legal studies suggest an expanded use of profiling and significant legal/professional implications for HRM practitioners, yet scant attention has been afforded to the boundaries of such practices. In this study, profiling is framed as a terrain on which employees and employers assert asymmetrical interests. Using survey data from large samples in Australia and the UK, the study investigates the prevalence and outcomes of profiling; the extent to which employees assert a right to privacy versus employer rights to engage in profiling; the extent to which organisations codify profiling practices; and employee responses in protecting online information. The findings contribute to a small and emerging body of evidence addressing how social media conduct at work is reconstituting and reshaping the boundaries between public and private spheres.     

Not part of the family? The limits to managing the corporate way in international hotel chains

Companies increasingly seek solutions to the corporate/local dichotomies perceived to be a feature of more traditional approaches to managing across national boundaries. At the human resource level, the rhetoric of transnationalism emphasizes integration being achieved through 'soft' mechanisms, such as corporate culture devices, which encourage all managers to develop an international (for this read corporate) perspective on what they do. In theory, managerial staff are recruited and promoted on a 'best person for the job' basis and national identities are played down. Drawing upon evidence from three international hotel chains (one American, one French and one Swedish), this paper argues that there is a disjuncture between corporate culture devices which assume that they can transcend national origins and the issues of interest and identity which inform the activities and experiences of managers at unit level. The paper suggests that companies need to be aware of the danger of assuming that one can be trained to be 'one of the family'. Rather, we argue that local managers are potentially disadvantaged in terms of career progression as managers from the parent country utilize criteria of acceptability informed by processes of socialization which are more institutionally embedded and derived than has been assumed.