Work Relationships in Telephone Call Centres: Understanding Emotional Exhaustion and Employee Withdrawal

This paper examines the nature of employment and the conditions of work in five telephone call centres in the telecommunications industry in Australia. Call centre work typically requires high levels of sustained interpersonal interaction with customers which can lead to burnout and employee withdrawal. Customer service staff can also become targets of customer hostility and abuse. In addition, this form of work tends to involve extensive employee monitoring and surveillance with little job discretion or variety of tasks. The paper draws upon survey data from 480 telephone service operators to identify the factors that are associated with emotional exhaustion and the frequency of absence amongst the employees. A modelling of the data using LISREL VIII revealed that a number of job and work-setting variables affected the level of emotional exhaustion of employees. These included interactions with the customer, a high workload and a lack of variety of work tasks. Moreover, higher rates of absence were associated with emotional exhaustion.     

Part–Time Work During Post–Compulsory Education And Examination Performance: Help Or Hindrance?

This paper examines the effects on examination performance of having a part–time job whilst in full–time post–sixteen education, using new data on young people in Northern Ireland. Around 35% engaged in part time employment during their education spell, compared to over 60% found by recent GB studies. This may be related to Northern Ireland's comparatively slack youth labour market and might reflect part–time employment levels in other peripheral regions. Our estimations suggest working part–time per se is not detrimental to examination performance, although working long hours is. Policy makers might improve educational performance by reducing incentives to work long hours.     

Behavioural Microsimulation with Labour Supply Responses

This paper provides a technical survey of recent developments in behavioural microsimulation. We discuss the criteria by which models of labour supply may be chosen for application to behavioural microsimulation, and consider how such models may be augmented to control for fixed costs, child–related work costs, preference heterogeneity and endogeneity in wages. We describe methods by which non–linear budget constraints may be accommodated in estimation, policy simulations and welfare analysis, and discuss how stochastic terms may be factored into the simulation of behavioural responses to a policy shock.     

Life histories in housing research: the case of Pakistanis in Glasgow

The discussion centers on three key criticisms of life history techniques, which are reviewed and evaluated with reference to data from research on Pakistani housing histories in Glasgow. Firstly, the problem of bias is reframed as an issue of reflexivity, which enhances research findings. Secondly, awareness of the cultural construction of life histories allows greater depth of analysis. And thirdly the problem of the relationship between the life history and wider social forces is argued to increase awareness and understanding of social actor agency. In conclusion, we argue that life history techniques can develop research on housing careers, particularly of Pakistanis, provided certain of their properties are recognised in the process of analysis.     

Testing Alternative Regression Frameworks for Predictive Modeling of Health Care Costs

Predictive models of health care costs have become mainstream in much health care actuarial work. The Affordable Care Act requires the use of predictive modeling-based risk-adjuster models to transfer revenue between different health exchange participants. Although the predictive accuracy of these models has been investigated in a number of studies, the accuracy and use of models for applications other than risk adjustment have not been the subject of much investigation. We investigate predictive modeling of future health care costs using several statistical techniques. Our analysis was performed based on a dataset of 30,000 insureds containing claims information from two contiguous years. The dataset contains more than 100 covariates for each insured, including detailed breakdown of past costs and causes encoded via coexisting condition flags. We discuss statistical models for the relationship between next-year costs and medical and cost information to predict the mean and quantiles of future cost, ranking risks and identifying most predictive covariates. A comparison of multiple models is presented, including (in addition to the traditional linear regression model underlying risk adjusters) Lasso GLM, multivariate adaptive regression splines, random forests, decision trees, and boosted trees. A detailed performance analysis shows that the traditional regression approach does not perform well and that more accurate models are possible.     

Personal income tax mimicry: evidence from international panel data

This paper investigates personal income tax (PIT) mimicry at the international level. It is the first to empirically investigate the extent to which PIT mimicry varies along the tax schedule and the first to include nations which are not part of the OECD. We use data on international personal income tax schedules from the world tax indicators to estimate marginal and average tax rates at various multiples of per capita gross domestic product (GDP). These tax rates are then used to estimate the extent to which countries respond to their neighbors’ PIT policy. We find evidence of PIT mimicry using a balanced panel of 53 countries over 24 years. This finding is strongest for tax rates at lower multiples of per capita GDP and survives several robustness checks.     

STRATEGIC ASSET ALLOCATION FOR LONG‐TERM INVESTORS: PARAMETER UNCERTAINTY AND PRIOR INFORMATION

We study the effect of parameter uncertainty on the long‐run risk for three asset classes: stocks, bills and bonds. Using a Bayesian vector autoregression with an uninformative prior we find that parameter uncertainty raises the annualized long‐run volatilities of all three asset classes proportionally with the same factor relative to volatilities that are conditional on maximum likelihood parameter estimates. As a result, the horizon effect in optimal asset allocations is much weaker compared to models in which only equity returns are subject to parameter uncertainty. Results are sensitive to alternative informative priors, but generally the term structure of risk for stocks and bonds is relatively flat for investment horizons up to 15 years. Copyright © 2013 John Wiley & Sons, Ltd.     

Input use under cost-of-production crop insurance: Theory and evidence

There have been a number of previous studies that examined the effects of yield- or revenue-based crop insurance products on input use of farmers. However, no study has specifically investigated the input use impacts of a cost-of-production (COP) crop insurance policy, even though this type of crop insurance is the predominant one used in several other countries outside of the United States (such as the Philippines and China). This article aims to theoretically and empirically examine the effect of a COP crop insurance product on farmers’ chemical input use. Our theoretical model suggests that the effect of COP insurance on input use can either be positive or negative, with the resulting impact depending on the strengths of (a) the traditional moral hazard effect of insurance (i.e., an input use decreasing effect); versus (b) the marginal incentives to apply more inputs due to input levels being the main determinant for expected indemnity amounts in this type of insurance (i.e., an input use increasing effect). A survey data set from corn farmers in the Philippines is then used to empirically illustrate how a particular COP insurance product influences input use in a real-life context. In this case, we find that COP insurance increases the use of chemical inputs (e.g., fertilizers and total chemical expenditure), implying that the positive marginal incentive to apply more inputs dominates the negative moral hazard effect.     

Unequal inequalities: Do progressive taxes reduce income inequality?

This paper analyzes the effect of changes in the structural progressivity of national income tax systems on observed and actual income inequality. Using several unique measures of progressivity over the 1981–2005 period for a large panel of countries, we find that progressivity reduces inequality in observed income, but has a significantly smaller impact on actual inequality, approximated by consumption-based Ginis. An empirical comparative analysis shows that the differential effect on observed versus actual inequality is much larger in countries with weaker legal institutions. We also find that structural progressivity has a greater equalizing effect in environments that support pro-poor redistribution. Substantial differences in inequality response to changes in top versus bottom rates are also uncovered.