The role of political tactics on the organizational context–career success relationship

Drawing from the norm of reciprocity, signal theory, and psychological contracts, we argue that the use of different types of political tactics, based on their social desirability, can be reciprocal behavioral reactions to contextual cues (i.e. perceptions of organizational support and politics) that can predict career success. Using a sample of 117 middle managers, our findings suggest that the use of sanctioned political tactics partially mediates the relationship between perceptions of organizational support and career success, while non-sanctioned political tactics suppress the relationship between perceptions of organizational politics and career success.     

Predicting European Union Recessions in the Euro Era: The Yield Curve as a Forecasting Tool of Economic Activity

Several studies have established the predictive power of the yield curve for the U.S. and various European countries. In this paper we use data from the European Union (EU15), from 1994:Q1 to 2008:Q3. We use the European Central Bank’s euro area yield spreads to predict European real GDP deviations from the long-run trend. We also augment the models tested with non monetary policy variables: the unemployment and a composite European stock price index. The methodology employed is a probit model of the inverse cumulative distribution function of the standard distribution using several formal forecasting and goodness of fit evaluation tests. The results show that the yield curve augmented with the composite stock index has significant forecasting power in terms of the EU15 real output.     

Revisiting Wireless Internet Connectivity: 5G vs Wi-Fi 6

In recent years, significant attention has been directed toward the fifth generation of wireless broadband connectivity known as ‘5G’, currently being deployed by Mobile Network Operators. Surprisingly, there has been considerably less attention paid to ‘Wi-Fi 6’, the new IEEE 802.1ax standard in the family of Wireless Local Area Network technologies with features targeting private, edge-networks. This paper revisits the suitability of cellular and Wi-Fi in delivering high-speed wireless Internet connectivity. Both technologies aspire to deliver significantly enhanced performance, enabling each to deliver much faster wireless broadband connectivity, and provide further support for the Internet of Things and Machine-to-Machine communications, positioning the two technologies as technical substitutes in many usage scenarios. We conclude that both are likely to play important roles in the future, and simultaneously serve as competitors and complements. We anticipate that 5G will remain the preferred technology for wide-area coverage, while Wi-Fi 6 will remain the preferred technology for indoor use, thanks to its much lower deployment costs. However, the traditional boundaries that differentiated earlier generations of cellular and Wi-Fi are blurring. Proponents of one technology may argue for the benefits of their chosen technology displacing the other, requesting regulatory policies that would serve to tilt the marketplace in their favour. We believe such efforts need to be resisted, and that both technologies have important roles to play in the marketplace, based on the needs of heterogeneous use cases. Both technologies should contribute to achieving the goal of providing affordable, reliable, and ubiquitously available high-capacity wireless broadband connectivity.     

Relative arbitrage in volatility-stabilized markets

Summary. We provide simple, easy-to-test criteria for the existence of relative arbitrage in equity markets. These criteria postulate essentially that the excess growth rate of the market portfolio, a positive quantity that can be estimated or even computed from a given market structure, be sufficiently large. We show that conditions which satisfy these criteria are manifestly present in the U.S. equity market. We then construct examples of abstract markets in which the criteria hold. These abstract markets allow us to isolate conditions similar to those prevalent in actual markets, and to construct explicit portfolios under these conditions. We study in some detail a specific example of an abstract market which is volatility-stabilized, in that the return from the market portfolio has constant drift and variance rates while the smallest stocks are assigned the largest volatilities. A rather interesting probabilistic structure emerges, in which time changes and the asymptotic theory for planar Brownian motion play crucial roles. The largest stock and the overall market grow at the same, constant rate, though individual stocks fluctuate widely.We are indebted to Adrian Banner and Constantinos Kardaras for several helpful discussions; in particular, the computation of (4.27) is due to Adrian Banner. We are also grateful to Professors Chris Rogers and Marc Yor for their expert advice on the subject of planar Brownian motion, and to Professor Peter Bank for an observation that helped us correct an error in an earlier version of the paper.This revised version was published online in January 2005 with corrections to the Cover date.     

Detecting structural breaks and identifying risk factors in hedge fund returns: A Bayesian approach

Extending previous work on asset-based style factor models, this paper proposes a model that allows for the presence of structural breaks in hedge fund return series. We consider a Bayesian approach to detecting structural breaks occurring at unknown times and identifying relevant risk factors to explain the monthly return variation. Exact and efficient Bayesian inference for the unknown number and positions of the breaks is performed by using filtering recursions similar to those of the forward–backward algorithm. Existing methods of testing for structural breaks are also used for comparison. We investigate the presence of structural breaks in several hedge fund indices; our results are consistent with market events and episodes that caused substantial volatility in hedge fund returns during the last decade.     

Compliance with pension‐related mandatory disclosures and debt financing

Using hand‐collected data on the level of pension‐related mandatory disclosures required by International Accounting Standard 19 Employee Benefits, we test whether compliance levels with these disclosures convey information that affects firms’ access to the public instead of the private debt market, as well as the cost of their new debt issues. We document a higher tendency to access the public debt market for firms with higher levels of pension‐related disclosure. Furthermore, we find that firms with higher levels of pension‐related disclosure enjoy a lower cost in terms of issuance of public debt, but not a lower cost for private debt issues. Thus, the benefits of disclosure in reducing information risk are only realisable when creditors rely heavily on financial statements in their decision making, due to the limited access to private information. Additional tests reveal that high compliance levels effectively mitigate the negative effect of pension deficits on the cost of public debt. These findings provide novel evidence in the extant literature on the role of mandatory (and, in particular, pension‐related) disclosures on firms’ debt financing. They also have important policy implications.     

Bayesian Modelling of Outstanding Liabilities Incorporating Claim Count Uncertainty

Abstract

This paper deals with the prediction of the amount of outstanding automobile claims that an insurance company will pay in the near future. We consider various competing models using Bayesian theory and Markov chain Monte Carlo methods. Claim counts are used to add a further hierarchical stage in the model with log-normally distributed claim amounts and its corresponding state space version. This way, we incorporate information from both the outstanding claim amounts and counts data resulting in new model formulations. Implementation details and illustrations with real insurance data are provided.     

Measuring and Explaining Technical Efficiency in UK Potato Production

Technical efficiency in UK maincrop potato production is measured through the estimation of a stochastic frontier production function using cross section data for the 1992 crop year. Variations in the technical efficiency index across production units are explained through a number of managerial and farm characteristic variables following Battese and Coelli (1995). The technical efficiency index across production units ranges from 33 to 97 per cent. Irrigation of the potato crop and storage of potatoes after harvest are positively correlated with technical efficiency. Number of years of experience of growing potatoes, small scale farming practice and chitting of seed potatoes are all negatively correlated with technical efficiency.     

THE ECONOMICS OF HEALTH AND SAFETY AT WORK: AN INTERDICIPLINARY REVIEW OF THE THEORY AND POLICY

Abstract This paper engages in an interdisciplinary survey of the current state of knowledge related to the theory, determinants and consequences of occupational safety and health (OSH). It first describes the fundamental theoretical construct of compensating wage differentials, which is used by economists to understand the optimal provision of OSH in a perfectly competitive labour market. The plethora of incentives faced by workers and firms in job and insurance markets that determine the ultimate level of OSH are discussed in detail. The extensive empirical evidence from the hedonic wage and stated choice approaches used to assess the value of OSH is reviewed. The causes of inefficiency and inequity in the market for OSH, such as externalities, moral hazard in compensation insurance, systematic biases in individual risk perception/well‐being and labour market segregation are subsequently examined. The implications of government intervention and regulation for tackling the aforementioned inefficiencies in OSH are then considered. Finally, the survey identifies areas of future research interests and suggests indicators and priorities for policy initiatives that can improve the health and safety of workers in modern job markets.