The relationship between job satisfaction and managerial remuneration in small and medium-sized enterprises: an empirical test of ‘comparison income’ and ‘equity theory’ hypotheses

The relationship between job satisfaction levels and the remuneration of non-owner managers employed by a sample of 97 UK small and medium sized enterprises (SMEs) is investigated. The main empirical findings are that relative remuneration levels appear to be largely explained by differences in human capital and job/firm characteristics and that job satisfaction is positively related to deviations from these estimated comparison-income levels. Moreover, the equity theory expectation that individuals with the least prospect of redressing payment inequities will have the greatest incentives to respond to payment inequities by congitive adjustment is also supported. The results indicate that job satisfaction levels for individuals expecting to remain in their current post are not significantly affected by current payment inequities. For those managers who expect to move firms, the amount of payment inequity has a significantly positive effect upon their job satisfaction.     

Examining impulse response functions in cointegrated systems

A system of reduced forms with cointegrated variables may be estimated in two ways: as a vector autoregression in levels, or as a vector error correction model. The latter is a restricted version of the former. If there is cointegration, imposing this restriction will yield more efficient estimates. However, at short horizons, vector error correction estimates are known to perform poorly relative to those from a vector autoregression. We examine how this property affects impulse response functions. A Monte Carlo experiment, and an example, suggest that impulse response functions of the two models are similar at short horizons, but different at long horizons. This suggests that the loss of efficiency from vector autoregression estimation is not critical at the commonly used short horizon. Our results complement parallel arguments focusing on forecast errors made by Clements and Hendry (1995), Hoffman and Rasche (1996), and Lin and Tsay (1996).     

Survival of the hippest: life at the top of the hot 100

We analyse the survival characteristics of recordings that reached the number one spot on the US popular music charts over the period 1955 to 2003. Our results show that there has been a statistically significant change in the time spent at number one since ‘album cuts’ were included in the compilation of Billboard?'s Hot 100. Survival time is significantly improved if the recording is by a female solo artist, or if it is an instrumental tune. We also find a significant ‘Elvis effect’.

‘I’ll never be a saint, it's true. I’m too busy surviving!’ (Madonna, 1994 Madonna. 1994. “Survival”. In Bedtime Stories Album, Hollywood, CA: Warner Brothers Records.  [Google Scholar])     

Banking efficiency and competition in low income countries: the case of Uganda

There is a concern that the state dominated, inefficient and fragile banking systems in many low-income countries, especially Sub-Saharan Africa, are a major hindrance to economic growth. In this context, this article systematically analyses the impact of the far-reaching banking sector reforms undertaken in Uganda on banking sector competition and efficiency. Using models of banking competition and efficiency that have been predominantly estimated in industrial countries, we find that the level of competition has significantly increased and has been associated with a rise in efficiency of the sector. Moreover, on average, larger banks and foreign-owned banks are more efficient than others while smaller banks have fallen back in efficiency with the increase in competitive pressures.     

Long-run impacts of inflation across sectors in a small sample of countries

This article investigates the long-run effects of inflation on economic output for 10 sectors of the economy, with a sample of 7 countries. The analysis is done using long-run restrictions in a vector autoregression and reports long-run multipliers with bootstrapped confidence bands. The results suggest that some sectors seem to be affected differently than others, as well as significant heterogeneity across countries. The results suggest the strongest effects in the low inflation countries Germany and Japan as has been found in similar studies. In contrast to research using growth regressions, the evidence suggests a positive long-run effect of inflation on output.     

Ownership structure,board composition and the market for corporate control in the UK: an empirical analysis

This paper analyses the board composition and ownership structures of a sample of companies that have been acquired and those of a matching control sample that have not. We find significant governance differences between acquired firms and the control sample. Firms with the following characteristics were more likely to be acquired: they had the same person acting as CEO and chair, a higher proportion of non-executive directors, larger institutional shareholdings and higher director shareholdings. An analysis of small firms also found evidence of higher CEO shareholdings. We also find that treating all take-overs as a single group leads to a model mis-specification which does not identify the incentive effects of board and CEO shareholdings present in non-hostile acquisitions. These results are consistent with two agency-derived hypotheses, financial incentives and effective monitoring. We also find that targets exhibit lower growth potential but do not have worse accounting performance.     

Prequential analysis of stock market returns

The Brier score and a covariance partition due to Yates are considered to study the probabilistic forecasts of a vector autoregression on stock market returns. Probabilistic forecasts from a model and data developed by Campbell (1991 Campbell, JY. 1991. A variance decomposition for stock returns. Economic Journal, 101: 157–79.  ) are studied with ordinary least squares. Calibration measures and the Brier score and its partition are used for model assessment. The partitions indicate that the ordinary least squares version of Campbell's model does not forecast stock market returns particularly well. While the model offers honest probabilistic forecasts (they are well-calibrated), the model shows little ability to sort events that occur into different groups from events that do not occur. The Yates-partition demonstrates this shortcoming. Calibration metrics do not.     

The process followed by PPP data. On the properties of linearity tests

Recent research has reported the lack of correct size in stationarity test for PPP deviations within a linear framework. However, theoretically well motivated non-linear models, such as the ESTAR, appear to parsimoniously fit the PPP data and provide an explanation for the PPP ‘puzzle’. Employing Monte Carlo experiments the size and power of the non-linear tests are analysed against a variety of nonstationary hypotheses. Aslo the ESTAR model is fitted to data from high inflation economies. The results provide further support for ESTAR specification.