Simulation driven inferences for multiply imputed longitudinal datasets*

In this article, we demonstrate by simulations that rich imputation models for incomplete longitudinal datasets produce more calibrated estimates in terms of reduced bias and higher coverage rates without duly deflating the efficiency. We argue that the use of supplementary variables that are thought to be potential causes or correlates of missingness or outcomes in the imputation process may lead to better inferential results in comparison to simpler imputation models. The liberal use of these variables is recommended as opposed to the conservative strategy.     

You May Not Reap What You Sow: How Employees’ Moral Awareness Minimizes Ethical Leadership’s Positive Impact on Workplace Deviance

Although a growing body of research has shown the positive impact of ethical leadership on workplace deviance, questions remain as to whether its benefits are consistent across all situations. In this investigation, we explore an important boundary condition of ethical leadership by exploring how employees’ moral awareness may lessen the need for ethical leadership. Drawing on substitutes for leadership theory, we suggest that when individuals already possess a heightened level of moral awareness, ethical leadership’s role in reducing deviant actions may be reduced. However, when individuals lack this strong moral disposition, ethical leadership may be instrumental in inspiring them to reduce their deviant actions. To enhance the external validity and generalizability of our findings, the current research used two large field samples of working professionals in both Turkey and the USA. Results suggest that ethical leadership’s positive influence on workplace deviance is dependent upon the individual’s moral awareness—helpful for those employees whose moral awareness is low, but not high. Thus, our investigation helps to build theory around the contingencies of ethical leadership and the specific audience for whom it may be more (or less) influential.     

The role of direct flights in trade costs

Effects of direct flights on trade costs are investigated using micro price data at the city level. After controlling for local retail/distribution costs, traded input prices are obtained to be further used in the measurement of trade costs across cities through arbitrage conditions. The existence of a direct flight enters trade costs regressions negatively and significantly. The results are shown to be robust to the consideration of many control variables, nonlinearities in the effects of distance on trade costs, possible endogeneity of having direct flights between cities and alternative definitions of the data. The direct flights that are shown to be determined by bilateral air services agreements are further shown to reduce trade costs through an endogeneity analysis; the main policy implications are twofold: (i) international trade policies through aviation services, such as Open Skies Agreements of the US, are alternative trade policy tools to reduce international trade barriers; (ii) direct flights facilitate the integration of internal markets as in the case of European Union.     

Tourism development and economic growth: a panel Granger causality analysis in the frequency domain

In this paper, we test the causal relationship between economic growth and tourism development in the 1995–2012 period using recently developed panel Granger causality tests that allow for country-level heterogeneity, thus leading to more accurate results for the 12 Mediterranean countries. Although results of the Dumitrescu and Hurlin [(2012) testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460] panel Granger causality test show a unidirectional causality from tourism development to economic growth, results of the Croux and Reusens [(2013). Do stock prices contain predictive power for the future economic activity? A Granger causality analysis in the frequency domain. Journal of Macroeconomics, 35, 93–103] panel Granger causality analysis in the frequency domain show that there is a bidirectional temporary and permanent causality between tourism development and economic growth. The bidirectional causality relationship between tourism development and economic growth, which is the main finding of this study, suggests that in order to achieve high economic growth, policy-makers should focus on developing the tourism sector.     

Monetary policy and credit cards: Evidence from a small open economy

This paper uses a unique monthly data set that covers the overall credit card usage in a small-open economy, Turkey, to investigate a possible credit channel of monetary policy transmission through credit cards. A reduced-form vector autoregression analysis is employed, where the forecast error variance decompositions are calculated for three-year windows over the period 2002–2009. It is shown that, during the recent financial crisis that has started in 2007, the monetary policy of Turkey has shifted toward focusing on output volatility and interest rate smoothing through setting short-term interest rates, while the inflation rate has been mostly affected by exchange rate movements and inflation inertia. Credit card usage has an increasing effect on inflation rates through time, requiring more policy emphasis on the credit channel through credit cards. When the effects of the credit view and the money view are compared, the former seems to be more effective on the real side of the economy, independent of the level of inflation.     

The inflation and inflation uncertainty relationship for Turkey: a dynamic framework

This article assesses the interaction between inflation and inflation uncertainty in a dynamic framework for Turkey by using monthly data for the time period 1984–2009. The bulk of previous studies investigating the link between inflation and inflation uncertainty employ Autoregressive Conditional Heteroskedasticity (ARCH)-type models, which consider inflation uncertainty as a predetermined function of innovations to inflation specification. The stochastic volatility in mean (SVM) models that we use allow for gathering innovations to inflation uncertainty and assess the effect of inflation volatility shocks on inflation over time. When we assess the interaction between inflation and its volatility, the empirical findings indicate that response of inflation to inflation volatility is positive and statistically significant. However, the response of inflation volatility to inflation is negative but not statistically significant.     

Mismeasurement of Distance Effects: The Role of Internal Location of Production

The estimated effects of distance in empirical international trade regressions are unrealistically high. Using state‐and‐sector level US exports data, this paper shows analytically and proves empirically that ignoring the internal location of production (of international exports), which leads to the overestimation of distance effects by about twofold, is a possible explanation. This overestimation is mostly attributed to the mismeasurement of the distance elasticity of trade costs when internal locations of production are ignored. A corrective distance index is proposed to avoid such mismeasurements and is shown to work well for the median sector. The results are robust to the consideration of alternative estimation methodologies and data sets.