Carbon tax simulations using a household demand model

The main objective of this paper is to analyse consumer response and welfare effects due to changes in energy or environmental policy. To achieve this objective we formulate and estimate an econometric model for non-durable consumer demand in Sweden that utilises micro- and macro-data. In the simulations, we consider two revenue neutral scenarios that both imply a doubling of the CO₂ tax; one that returns the revenues in the form of a lower VAT and one that subsidise public transport. One conclusion from the simulations is that the CO₂ tax has regional distribution effects, in the sense that household living in sparsely populated areas carry a larger share of the tax burden.     

Why are Small Firms Different? Managers’ Views

Do incentives differ between large and small organizations? Results from a representative survey of compensation managers are used to shed light on the issues. I find that (i) small establishments rely less on pecuniary incentives, and have a significantly more hostile attitude towards incentive schemes based on competition and relative rewards; (ii) large units are more vulnerable to mechanisms of efficiency wages, effects that remain even after controlling for differences in monitoring ability; (iii) large units are more prone to indicate that negative reciprocity is important, and that their employees care about relative pay. I argue that these findings fit with behavioral stories of incentives and motivation, in particular those stressing group interaction effects, inequity aversion and gift exchange.     

Combining data and text mining techniques for analysing financial reports

There is a vast amount of financial information on companies' financial performance available to investors in electronic form today. While automatic analysis of financial figures is common, it has been difficult to extract meaning from the textual parts of financial reports automatically. The textual part of an annual report contains richer information than the financial ratios. In this paper, we combine data and text mining methods for analysing quantitative and qualitative data from financial reports, in order to see if the textual part of the report contains some indications about future financial performance. The quantitative analysis has been performed using self‐organizing maps, and the qualitative analysis using prototype‐matching text clustering. The analysis is performed on the quarterly reports of three leading companies in the telecommunications sector. Copyright © 2004 John Wiley & Sons, Ltd.     

Growth effects of government expenditure and taxation in rich countries: A comment

Fölster and Henrekson (European Economic Review 45 (2001), 1501-1520) argue that “...the more the econometric problems that are addressed, the more robust the relationship between government size and economic growth appears”. But in failing to control for simultaneity and in ignoring issues of sample-selection bias, the regressions reported by Fölster/Henrekson are flawed. Using theoretically valid instruments, we find that the estimated partial correlation between size of the public sector and economic growth is statistically insignificant and highly unstable across specifications. Moreover, since instruments are weak, all hypothesis tests are unreliable. We conclude that cross-country growth regressions are unlikely to come up with a reliable answer to the question of the growth effects of government spending and taxation.     

Examining the relationship between strategic HRM and hospital employees’ work attitudes: an analysis across occupational groups in public and private hospitals

Abstract

As human resource challenges have increased, strategic human resource management (SHRM) in hospitals has evolved into an important management task. Accompanying its growing relevance, there is an evolving research stream on the impact of SHRM on organizational and individual-level outcomes in the hospital context. We aim to address two remaining research gaps by investigating variations in the use of SHRM across organizations (public vs. private ownership types) and differences in the relationship between SHRM and employee attitudes within organizations (for the occupational groups of nurses and physicians). This study is based on a sample of 179 German acute care hospitals. We employ ANOVA and logistic regression analyses, and our results corroborate previous research findings showing that SHRM has positive effects on employee attitudes. However, the effects vary in significance and magnitude, depending on whether nurses or physicians are targets. Further, we reveal significant SHRM differences in public- vs. private-sector organizations.     

International commitment,post-entry growth and survival of international new ventures

This paper makes several contributions to the emerging literature on the post-entry behavior of international new ventures. Based on an extensive longitudinal data set, we investigate the dynamics of commitment, growth and survival of different types of newly internationalizing Belgian firms. Global start-ups have the highest initial and rapidly rising export commitment per market and are also more likely to continue exporting over time than geographically focused start-ups, and traditional staged exporters. However, global start-ups also display the highest failure rate. This high failure rate appears to result primarily from the ‘liability of newness’ and less from the added complexity associated with rapid and wide scope internationalization.     

Improving the effectiveness of nondisclosure agreements by strengthening concept learning

Intellectual property infringements rank among the top economic crimes, even though there are mechanisms in place to prevent their occurrence. One such mechanism are nondisclosure agreements, which, however, have been reported to fail in practice. This article argues that this may be overcome by strengthening employees’ concept learning. In an experiment, we investigated whether extended nondisclosure agreements, which provide the employee with detailed explanations and examples, lead to better recognition of trade secrets as compared to a standard nondisclosure agreement or no agreement at all. It was found that the extended nondisclosure agreement indeed increased participants’ ability to judge what falls under the trade secret law, whereas the standard nondisclosure agreement showed no such effect. Furthermore, the effects of the factors ‘Involvement’, ‘Specificity’, ‘Publicity’, and ‘Purpose’ on the identification of trade secrets could be proven experimentally. Employees’ judgments of whether an information represents a trade secret seem to rely on general cognitive processes. From this follows that concept learning could be integrated into systematic approaches for protecting intellectual property.     

Do satisfying walking and cycling trips result in more future trips with active travel modes? An exploratory study

Previous studies have indicated that travel satisfaction - the experienced emotions during, and cognitive evaluation of, a trip - can be affected by travel mode choice and other trip characteristics. However, as satisfactory trips might improve a person's attitude towards the used mode, persons may be more likely to use that same mode for future trips of the same kind. Hence, a cyclical process between travel mode choice and travel satisfaction might occur. In this paper we begin to analyse this process—using a structural equation modelling approach on cross-sectional data—for people who engage in walking and cycling for leisure trips in the Belgian city of Ghent. The focus on walking and cycling reflects recent studies indicating that active travel is often associated with the highest levels of travel satisfaction. Results of this exploratory analysis offer tentative support for the idea of a cyclical process: the evaluation of walking and cycling trips positively affects the respondents' attitude towards the respective mode, which in turn has a positive effect on choosing that mode.     

Order-invariant tests for proper calibration of multivariate density forecasts

Established tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms can be manipulated by changing the order of variables in the forecasting model. We derive order-invariant tests. The new tests are applicable to densities of arbitrary dimensions and can deal with parameter estimation uncertainty and dynamic misspecification. Monte Carlo simulations show that they often have superior power relative to established approaches. We use the tests to evaluate generalized autoregressive conditional heteroskedasticity-based multivariate density forecasts for a vector of stock market returns and macroeconomic forecasts from a Bayesian vector autoregression with time-varying parameters.