Remittances and incumbency: Theory and evidence

By raising household income, remittances lower the marginal utility of targeted electoral transfers, thus weakening the efficacy of vote buying. Yet, remittances make individuals wealthier and believe the national economy is performing well, which is positively attributed to the incumbent. Building on these insights, I show that the confluence of these divergent channels generate a surprising result that at increasingly higher levels of dissatisfaction with the incumbent, a remittance recipient is more likely to vote for the incumbent than a non‐remittance recipient. These predictions and their underlying mechanisms are substantiated across 18 Latin American countries.     

Leaving studies because of lack of interest: an analysis of the risk factors of school dropouts in Pakistan

Quality & Quantity - Among all the students dropping out of school for different reasons in Pakistan in 2017, nearly 23% of the students dropped out because they were not...     

The pre-acquisition evaluation of target firms and cross border acquisition performance

The paper investigates the impact of the pre-acquisition evaluation of target firms on the performance of cross border acquisitions using data from a sample of acquisitions made by UK firms. The findings provide reasonable support for organizational learning theory, suggesting that the more the acquiring firm learns about the target firm then the better will be the acquisition performance. Specifically, we find support for the hypothesis that thorough evaluation of the strategic and cultural fit positively influences cross border acquisition success. Further, the analysis reveals that detailed evaluation of the target firm's employee and business capability improves acquisition performance. The managerial implications of the findings and directions for future research are also discussed.     

Proportional Odds Models with High‐Dimensional Data Structure

The proportional odds model is the most widely used model when the response has ordered categories. In the case of high‐dimensional predictor structure, the common maximum likelihood approach typically fails when all predictors are included. A boosting technique pomBoost is proposed to fit the model by implicitly selecting the influential predictors. The approach distinguishes between metric and categorical predictors. In the case of categorical predictors, where each predictor relates to a set of parameters, the objective is to select simultaneously all the associated parameters. In addition, the approach distinguishes between nominal and ordinal predictors. In the case of ordinal predictors, the proposed technique uses the ordering of the ordinal predictors by penalizing the difference between the parameters of adjacent categories. The technique has also a provision to consider some mandatory predictors (if any) that must be part of the final sparse model. The performance of the proposed boosting algorithm is evaluated in a simulation study and applications with respect to mean squared error and prediction error. Hit rates and false alarm rates are used to judge the performance of pomBoost for selection of the relevant predictors.     

Does ethics improve stock market resilience in times of instability?

This paper compares the resilience of ethical (Islamic and socially responsible) indexes among five developed (US, UK, Japan, Canada, Australia) and three emerging markets (Brazil, India, South Africa) during the period following the 2008 subprime crisis. It relies on a multivariate CAPM-EGARCH model that accounts for sudden changes in volatility through the application of an iterated cumulative sums of squares (ICSS) algorithm on daily data over the sample period 2008–2014 to model time-varying volatility and ensure reliable estimates. The study confirms the lower systemic risk associated with Islamic indexes during the bearish period and reports that SRI, despite being more subject to systemic risk, offered higher alphas in highly integrated markets, while Islamic indexes performed better in less integrated ones. The evidence also reveals a very limited increase in the models’ predictability power from the integration of sudden changes in volatility into the EGARCH models during the full sample period. This limit is more marked during the bearish sub-period. Our findings have important implications for international investment and portfolio diversification perspectives in times of financial downturn.     

Influence of national and engineering culture on team role selection

Engineering education is an emerging field of research. Due to its applied nature, recent theoretical developments have been followed by empirical evidence and interdisciplinary research. The present study attempted to describe the team roles assumed by members of project teams composed of young engineering students. The study was conducted in Pakistan by using the Belbin Team Role Self Perception Inventory. It was found that young Pakistani engineers assumed the roles of implementer, coordinator, shaper and team worker. This study attempts to understand role choices through the framework of national cultural dimensions proposed by Hofstede and engineering education culture offered by Godfrey and Parker. The study strongly recommends that engineering curriculum should incorporate activities which could foster creativity among engineers. Moreover, engineering students should be motivated to innovate through collaboration in a problem and project based environment, which is seriously lacking in engineering education of Pakistan.     

THE PREVENTION OF FINANCIAL CRIME WITHIN AN ISLAMIC LEGAL FRAMEWORK1

The risks associated with financial crime threaten to undermine the stability of the international financial system. This paper explores the Islamic legal approach to the prevention of financial crime and how this can be integrated into international regulatory frameworks.     

Formula Based Allocation of Public Funds: The Case of Higher Education Research Funding

Formula funding models can be used to achieve broad objectives while maintaining the recipients' autonomy to take decisions. In order to avoid the transfers becoming a complex web of specific grants, formula funding models can incorporate a 'veil of ignorance' which permits the recipient to spend the resources on a different pattern from the one on which they were 'earned'. The Research Selectivity Exercise, operated by the Higher Education Funding Council for England is one such model. This article analyses the use of formula funding to shed light on whether the outcome reflects national policy objectives.     

Non‐Neutral and Asymmetric Effects of Neutral Ratings: Evidence From eBay

Seller ratings help overcome adverse selection problems in online transactions between strangers. Using eBay data, we find that auction outcomes are sensitive toward not only positive and negative seller ratings but also neutral ratings. We find that (1) buyers utilize neutral ratings to sort among otherwise identical sellers and value their products and (2) contrary to eBay's opinion, depending on whether a seller is top‐notch or not, neutral ratings can be detrimental or beneficial; for sellers with higher proportions of positive ratings, an increase in neutral ratings decreases sales. For sellers with higher proportion of negative ratings, an increase in neutral ratings increases both sales and revenue. Copyright © 2014 John Wiley & Sons, Ltd.