Winning at all costs: An exploration of bottom‐line mentality,Machiavellianism, and organisational citizenship behaviour

This study seeks to advance the bottom‐line mentality literature by exploring an antecedent and outcome of employee bottom‐line mentality. We build and test a moderated‐mediation model by arguing that the personality trait of Machiavellianism promotes an employee's adoption of a bottom‐line mentality. Moreover, drawing on trait activation theory, we argue that this relationship is fully activated when the employee perceives that the organisation endorses a bottom‐line mentality. To expand our theoretical model, we also suggest that employee bottom‐line mentality inhibits organisational citizenship behaviour directed towards co‐workers. Lastly, we investigate whether an employee's perception of an organisation's bottom‐line mentality conditionally moderates the indirect effect of Machiavellianism on organisational citizenship behaviour directed towards co‐workers through the mediated mechanism of employee bottom‐line mentality. Our theoretical model is tested across two distinct studies. Study 1, a field study conducted within a variety of organisations, provides evidence for our initial predictions (Hypotheses 1 and 2). Study 2, a multisource field study conducted in multiple industries, replicates and extends the findings from Study 1 by providing evidence for the entire moderated‐mediation model. We find support for our hypothesised model across both studies. Implications for theory and practice are discussed, and suggestions for future research are identified.     

Log-concavity and monotonicity of hazard and reversed hazard functions of univariate and multivariate skew-normal distributions

This paper establishes the log-concavity property of several forms of univariate and multivariate skew-normal distributions. This property is then used to prove the monotonicity of the hazard as well as reversed hazard functions. The log-concavity and monotonicity of the hazard and reversed hazard functions of series and parallel systems of components is then discussed. The corresponding results for the multivariate normal distribution follow readily as special cases.     

Does tourism cause growth asymmetrically in a panel of G-7 countries? A short note

We analyse whether tourism (measured by real tourism receipts) causes growth in an asymmetric fashion in a panel of G-7 countries over the period of 1995–2014. Our results reveal that the tourism-led growth hypothesis holds for France, Germany, and the US, with negative tourism shocks being more important for Germany, Italy, Japan, while positive shocks are more important in UK and the US. Our results imply that, policy makers in Germany, Italy and Japan should be more concerned when tourism receipts decline.     

Research output and economic growth in G7 countries: new evidence from asymmetric panel causality testing

Recent studies have shown increasing interest on the relationship between research output and economic growth. The study of such a relationship is not only of theoretical interest, but it can also influence specific policies to improve the quality, and probably the quantity of research output. This article has studied this relationship in G7 countries using the asymmetric panel causality test of Hatemi-J (2011). Our results show that only the UK shows a causal relationship from the output of research to real GDP. However, when the signs of variations are taken into account, there is an asymmetric causality running from negative research output shocks to negative real GDP shocks.     

IMF conditionality supports revenue collection: is it just tax rates?

This article examines if the observed favourable impact of conditionality in IMF programmes on revenue performance arises from changes in tax rates. It does so by studying the experience of 126 low- and middle-income countries during 1993–2013. When changes in tax rates are controlled for, the impact of revenue conditionality (and especially conditionality on revenue administration reform) not only remains strong on value-added tax collection but also, in contrast to earlier results, it contributes to significant improvements in income tax collection.     

Diffusion of mobile telephony in India: An empirical study

Diffusion of new technology is an important driver of economic growth. In this paper, diffusion of mobile telephony in India is studied. There is a vast diffusion potential in this country which needs to be exploited efficiently and in a rational way. This paper investigates the social, technological, economical and political (STEP) factors that have influenced the diffusion process of mobile telephony especially the diffusion speed. The epidemic model, which is widely employed in the diffusion studies of mobile telephony, is used for the study. The data is fitted into logistic, gompertz, and bass models by nonlinear least squares and it is found that gompertz model best describes the diffusion process of mobile telephony in India. The study reveals that competition and government intervention played a significant role in accelerating the diffusion speed of mobile telephony by making the technology affordable. It is found that mobile telephony is a substitute for fixed line telephony in India. The findings will be useful in taking managerial decisions with respect to factors in forecasting and controlling the diffusion process of emerging technologies.     

The effect of monetary policy on real house price growth in South Africa: A factor-augmented vector autoregression (FAVAR) approach

This paper assesses the impact of monetary policy on real house price growth in South Africa using a factor-augmented vector autoregression (FAVAR), estimated using a large data set comprising of 246 quarterly series over the period 1980:01 to 2006:04. The results based on the impulse response functions indicate that, in general, house price inflation responds negatively to monetary policy shock, but the responses are heterogeneous across the middle-, luxury- and affordable-segments of the housing market. The luxury-, large-middle- and medium-middle-segments are found to respond much more than the small-middle- and the affordable-segments of the housing market. More importantly, we find no evidence of the home price puzzle, observed previously by other studies that analyzed house prices using small-scale models. We put this down to the benefit gained from using a large information set.     

Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty

The Journal of Real Estate Finance and Economics - We analyze the role of macroeconomic uncertainty in predicting synchronization in housing price movements across all the United States (US) states...     

Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach

This study investigates the advantage of combining the forecasting abilities of multiple generalized autoregressive conditional heteroscedasticity (GARCH)-type models, such as the standard GARCH (GARCH), exponential GARCH (eGARCH), and threshold GARCH (tGARCH) models with advanced deep learning methods to predict the volatility of five important metals (nickel, copper, tin, lead, and gold) in the Indian commodity market. This paper proposes integrating the forecasts of one to three GARCH-type models into an ensemble learning-based hybrid long short-term memory (LSTM) model to forecast commodity price volatility. We further evaluate the forecasting performance of these models for standalone LSTM and GARCH-type models using the root mean squared error, mean absolute error, and mean fundamental percentage error. The results highlight that combining the information from the forecasts of multiple GARCH types into a hybrid LSTM model leads to superior volatility forecasting capability. The SET-LSTM, which represents the model that combines forecasts of the GARCH, eGARCH, and tGARCH into the LSTM hybrid, has shown the best overall results for all metals, barring a few exceptions. Moreover, the equivalence of forecasting accuracy is tested using the Diebold–Mariano and Wilcoxon signed-rank tests.