Airport privatization: A simple welfare analysis

The interest in privatization is not new to the world nor the study of economies, for that matter. The paper contains a critique of both proponent and opponent groups of economists and policy makers who deal with the issue of airport privatization. These groups primarily rely on anecdotal evidence to support their positions. At present, privatization can only be accepted or rejected on the basis of theory, politics, or ideology. In this paper a mathematical model and decision rule based on welfare analysis are developed that facilitate the process for transition of airports from a public enterprise to a private one.     

Inflation and the Income Share of the Rich: Evidence for 14 OECD Countries

This paper examines the distributional implications of inflation on top income shares in 14 advanced economies using data over the period 1920–2016. We use local projections to analyze how top income shares respond to an inflation shock, and panel regressions in which all variables are defined as 5-year averages to examine the impact of inflation on the position of the top-one-percent in the long run. Our findings suggest that inflation reduces the share of national income held by the top 1 percent. Furthermore, we find that inflation shocks and long-run inflation have similar effects on top income shares.     

The impact of terrorism on public debt in African countries

Given the increase in the number of terrorist attacks in African countries, a better understanding of the relationship between terrorism, the informal economy and public debt is essential for policymakers. The model is empirically tested for 47 countries during the period 1996–2015. We use ordinary least squares (OLS), random effects (ER) and system generalized method of moments (GMM). Three terrorism indicators are used: the uncertain, the domestic, and the transnational. The results confirm that the rise in terrorism and the informal economy lead to an increase in public debt. The results also show that the informal economy magnifies the effect of terrorism on public debt. In addition, the results suggest that a larger informal economy reduces income taxes and therefore increases public debt and the increase in public spending reinforces the effects of terrorism on public debt. The reduction of terrorism should therefore be governments’ primary political objective. Given the detected complementarity between terrorism and the informal economy, the reduction of terrorism would also reduce the size of the informal economy and the public debt. The reduction of terrorism will also minimize the harmful effects of terrorism on public debt through public spending.     

Factors contributing to motorcycle fatal crashes on National Highways in India

This study analyses fatal crash patterns, and identifies the risk factors contributing to motorcycle versus non-motorcycle fatal crashes using binomial logistic regression on two-, four- and six-lane National Highways (NHs) in India utilizing police fatal crash data. The distribution of victims’ mode by striking vehicles shows that percentage share of striking vehicles (truck) against the victims’ vehicles (motorcycle) is 44%, 52% and 37% on two-lane NH-8, four-lane NH-24 and six-lane NH-1, respectively. Nine explanatory variables pertaining to fatal crash, victim, roadway and environment are considered for the model (using combined data of cited three NHs). The results of the logistic regression model (motorcycle versus non-motorcycle fatal crashes) show that for variable ‘collision type’, likelihood of occurrence of ‘rear-end’, ‘sideswipe’ and ‘head-on’ fatal crashes are 42-times, 35-times and 25-times more than ‘hit pedestrian’ respectively. Similarly, for variable ‘number of vehicle’, likelihood is thrice as ‘single-vehicle’ than ‘two or more vehicles’; and, for variable ‘number of lane’, probability is more on ‘two-lane’ NH-8 than ‘four-lane’ NH-24. Based on the study results, it is recommended to upgrade two-lane (undivided carriageway) to four-lane (divided carriageway) NHs to reduce ‘head-on’ collision.     

Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model

Predicting stock price remains one of the challenges for investors' investment strategies. This study helps with accurate prediction and the main factors affecting variations in stock prices. It applies an adaptive neuro-fuzzy model on 58 listed firms from both the Abu Dhabi Securities Exchange and the Dubai Financial Market for the period 2014–2018 to estimate the predictive power of corporate performance measures and their significance. After examining four performance predictors—return on asset (ROA), return on equity (ROE), earning per share (EPS), and profit margin (PM)—the study finds that ROE is the most significant predictor and ROA is the least. EPS is the most influential profitability measure and PM the least.     

Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence

This paper deals with transition mechanisms through which financial market conditions affect real economic growth in the Euro area. The informational content of financial variables for predicting real economic growth is assessed, allowing for asymmetric responses to shocks. A nonlinear framework is developed based on a smooth transition model for which the effects of shocks can vary across business cycles when financial indicators modify both the endogenous and state variables. Global financial variables are shown to significantly affect real growth in the Euro area, particularly during periods of recession. Changes in stock market index and yield slope have asymmetric effects on real growth. In recessionary periods, the slope of the US yield curve does not have a significant impact on growth in the Euro area.     

Women and culture of poverty (a qualitative study of the culture of poverty among the Iranian caretaker women)

This study examines the culture of poverty among women who are caretakers of their families and supported by the Behzisti Organization (an Iranian governmental Welfare Institution) of Sari Township. It employs Oscar Lewis’s theory of the culture of poverty to reveal the nature and dimensions of poverty as experienced by these women. Employing in-depth, semi-structured interviews, we spoke with 28 women and Behzisti assistants. These interview data were analyzed through thematic analysis. Resultant themes indicated general elements of poverty such as lack of literacy and the accommodation issue, but also indicated other outcomes of women in poverty, including irresponsibility, dis-participation, secrecy, gender bias, sexual vulnerability, forced remarriage, low- risking and beggary. For these women, poverty has multiple dimensions and a continuing trajectory.     

Local Asymptotic Power of Breitung's Test*

In this article, we derive the local asymptotic power function of the unit root test proposed by Breitung [Journal of Econometrics (2002) Vol. 108, pp. 343–363]. Breitung's test is a non‐parametric test and is free of nuisance parameters. We compare the local power curve of the Breitungs’ test with that of the Dickey–Fuller test. This comparison is in fact a quantification of the loss of power that one has to accept when applying a non‐parametric test.     

Trust orientations in the organic food distribution channels: A comparative study of the Canadian and French markets

The objectives of this research are to (i) identify supply side factors that determine trust/mistrust in OF products, and (ii) determine the distribution channel strategies to increase trust in OF products. A total of 80 individual in-depth interviews were conducted in Canada and France with managers from superstores, specialty stores, farmers, markets, producers and certification bodies. Results show a clear distinction between the Canadian and French OF distribution structures in terms of trust. Consequently, distributors have to adapt their strategies and tools in order to enhance trust in OF, in their distribution channel and in the overall food supply chain.     

A paradigm for examining second-order factor models employing structural equation modeling

We present here a paradigm for assessing second-order measurement models. Our approach is hierarchical in nature. We discuss the need for higher-order models from a conceptual perspective and illustrate how some common challenges in empirical research can be resolved through the deployment of higher-order modeling. Essentially, we argue that many constructs can be meaningfully described by a higher-order structure and testing for the existence of such structures requires a careful examination of alternative models. There is a need for conceptual as well as empirical support. In order to demonstrate our paradigm, we use data that relate to airline service quality. Our sample includes two databases. Responses from 170 individuals are employed for exploratory purposes and responses from 437 individuals are used for subsequent data analyses.