Women,Muslim Immigrants,and Economic Integration in France

Muslim immigrants to Europe display distinctive attitudes toward women in a wide range of survey data. This study investigates whether this translates into distinctive behavior. Relying on a dictator game in France and an identification strategy that isolates the effect of religion from typical confounds such as race, we compare the donations of matched Christian and Muslim immigrants and rooted French to in‐group and out‐group men vs. women. Our results indicate that Muslim immigrant participants deviate from Christian immigrant and rooted French participants in their behavior toward women: while the latter favor women over men, Muslim immigrants favor men over women.     

Price Discrimination with Private and Imperfect Information

In this paper, I investigate the competitive and welfare effects of the improvements in information accuracy in markets where firms can price discriminate after observing a private and noisy signal about a consumer's brand preference. I show that when firms believe that consumers have a brand preference for them, then they charge more to these consumers, and this price has an inverse U‐shaped relationship with the signal's accuracy. In contrast, the price charged after a disloyal signal has been observed falls as the signal's accuracy rises. While industry profit and overall welfare fall monotonically when price discrimination is based on increasingly more accurate information, the reverse happens to consumer surplus.     

Housing Preferences of Temporary Migrants in Urban China in the wake of Gradual Hukou Reform: A Case Study of Shenzhen

In the wake of the recent announcement by the State Council concerning the provision of public rental housing across China, and the gradual reform of China's household registration system (hukou), this article explores how potential adjustments in government housing policies (namely access to public rental housing) influence the housing preferences of temporary migrants who are currently residing inside the chengzhongcun (urban villages) of Shenzhen. The results indicate that dissatisfaction with rental cost and living conditions in these urban villages are the key reasons for migrants wishing to move into public rental housing if it is offered to them — and not the fact that they are treated differently within the hukou system. Public rental housing is welcomed in particular by newly arriving migrants who live outside the Shenzhen Special Economic Zone (SEZ), and migrants who have decided to remain in Shenzhen for the foreseeable future. By contrast, dissatisfaction with urban villages is the sole contributor to housing preferences for those residing inside the SEZ.     

The tortoise and the hare: the impact of employment instability on firm performance

The main objective of this study is to assess the influence of employment instability on firm performance in a sample of publicly traded firms. Competing theoretical arguments are considered with regard to likely outcomes associated with employment instability. A large sample of cross‐sectional time‐series data is then analysed using generalised estimating equations (GEE) regression techniques. Results indicate that employment instability is negatively associated with firm performance, although the relationship is also demonstrated to be quadratic (an inverse U‐shaped relationship). This suggests that the main relationship varies depending upon the level of employment instability. Industry characteristics are also examined as moderators of this main effect. The results suggest a disordinal interaction effect for industry differentiation, where employment instability is negatively associated with firm performance for firms in highly differentiated industries and positively associated in less differentiated industries.     

Multinational Firms’ Motivations and Foreign Direct Investment Decisions: An Analysis of the Software and IT and Financial Services Sectors in the Irish Context

This article focuses on the way greenfield foreign direct investment (FDI) in different sectors is influenced by locational characteristics and explores the role of policy in attracting and retaining foreign investment. We contribute to the literature by empirically investigating the investment motivations of multinational companies in the software and information technology (IT) and financial services sectors in Ireland and those locational factors that contribute to the retention of FDI. The methodology used in this research is of a qualitative nature, and an exploratory deductive approach is adopted in order to gain an understanding of firms’ internationalization decisions and motivations. The data demonstrate that companies in the two sectors follow different investment motivations. Firms in the software and IT sector entered Ireland primarily because of the availability of a high‐quality workforce, whereas firms in the financial services sector entered Ireland following the deregulation of markets and the subsequent ease of doing business. The article builds on these findings to develop policy recommendations. © 2017 Wiley Periodicals, Inc.     

REGULATORY DEALING: TECHNOLOGY ADOPTION VERSUS ENFORCEMENT STRINGENCY OF EMISSION TAXES

We analyze the role of targeted enforcement of emissions taxes when the regulator wants to minimize aggregate emissions via the adoption of new more environmentally friendly technology. The regulator wants to speed up the path of technology adoption generated by a policy of uniform enforcement (that monitors adopters and nonadopters with the same probability) by engaging in a regulatory deal where a reduced monitoring probability is granted in “exchange” for adoption of the new technology. We set up a theoretical model, characterize the circumstances in which such dealing minimizes aggregate emissions, and test our hypothesis using economic laboratory experiments. Our analytical and experimental results suggest that even though such a deal might imply an increased level of violation by adopters, such tolerance is rather an integral part of an overall enforcement strategy that minimizes aggregate emissions when the rate of adoption is endogenous. (JEL L51, Q53, Q55, Q58)     

Marrying personality and job resources and their effect on engagement via critical psychological states

This study examined the process by which individuals become engaged with their jobs by integrating seminal engagement theory. More specifically, we suggest that an individual factor (i.e. autotelic personality) and two contextual factors (i.e. feedback environment, job autonomy) interact to predict work engagement through three critical psychological states – namely availability, meaningfulness, and safety. This moderated mediation framework was tested using a cross section of the US population (n = 284); data were collected at two points in time with 3 months in between. Availability and meaningfulness mediated the relationship between autotelic personality and work engagement. Autotelic personality’s indirect effect on work engagement through meaningfulness and safety was conditional such that the nature of feedback environment’s effect depended on job autonomy level. Theory and practice implications are discussed.     

ASSESSING THE EFFECT OF PUBLIC SUBSIDIES ON FIRM R&D INVESTMENT: A SURVEY

This survey examines the empirical literature on the relationship between public R&D subsidies and private R&D investment over the past five decades. The survey reveals a considerable heterogeneity of empirical results that cannot be explained fully by methodological issues. We aim to provide further explanations of the possible causes of that heterogeneity. In particular, we emphasise a set of issues that, in our view, are critical to understanding the potential effect of public R&D subsidies on private R&D spending. Special attention is paid to the dynamic aspects and composition of firm R&D, the constraints faced by the firm (such as financial constraints), and the amount and source of public subsidies. None of these issues have been investigated in depth. We formulate a set of research assumptions to guide future empirical research in this field.     

Robust influence diagnostics for generalized linear models with continuous responses

This article introduces two parametric robust diagnostic methods for detecting influential observations in the setting of generalized linear models with continuous responses. The legitimacy of the two proposed methods requires no knowledge of the true underlying distributions so long as their second moments exist. The performance of the two proposed influence diagnostic tools is investigated through limited simulation studies and the analyses of an illustration.