Immigrants’ Wage Performance in a Routine Biased Technological Change Era: France 1994–2012

Over the period 1994–2012, immigrants’ wage growth in France outperformed that of natives. We investigate to what extent changes in task‐specific returns to skills contributed to this wage dynamics differential through two channels: changes in the valuation of skills (price effect) and occupational sorting (quantity effect). We find that the wage growth premium of immigrants is mainly explained by the progressive reallocation of immigrants toward tasks whose returns increase over time. Immigrants seem to have taken advantage of labor demand restructuring driven by globalization and technological changes.     

From green technology development to green innovation: inducing regulatory adoption of pathogen detection technology for sustainable forestry

Small Business Economics - Technological entrepreneurship has been widely acknowledged as a key driver of modern industrial economies, and more recently, a panacea for environmental and social...     

DATA‐DRIVEN DRAFTING: APPLYING ECONOMETRICS TO EMPLOY QUARTERBACKS

We show that firms can employ data‐driven methods to improve their hiring decisions. Specifically, we use data available to National Football League (NFL) teams prior to the NFL draft to estimate econometric models that predict the future performance of drafted quarterbacks. As our methods are replicable, stakeholders can use them to improve the draft's efficiency and help it accomplish its mission to promote competitive balance. Furthermore, data‐driven methods such as ours can help firms avoid biases against employee characteristics that do not affect future job performance. (JEL L83)     

Narcissistic rhetoric and crowdfunding performance: A social role theory perspective

Drawing from clinical and organizational narcissism research, we develop a novel measure of narcissistic rhetoric, investigating its prevalence in a sample of 1863 crowdfunding campaigns. An experiment using 1800 observations further validates our measure and confirms our hypothesized inverted-U relationship between narcissistic rhetoric and crowdfunding performance. Leveraging social role theory, we explore sex, sexual orientation, and race as potential moderators of this relationship. Moderation tests reveal LGBTQ entrepreneurs generally yield greater performance when using narcissistic rhetoric than heterosexuals while racial minorities underperform Caucasians using narcissistic rhetoric. Our findings suggest successful crowdfunding campaigns must balance narcissistic rhetoric with entrepreneurs' perceived social roles.     

Marketers’ use of alternative front-of-package nutrition symbols: An examination of effects on product evaluations

How front-of-package (FOP) nutrition icon systems affect product evaluations for more and less healthful objective nutrition profiles is a critical question facing food marketers, consumers, and the public health community. We propose a conceptually-based hierarchical continuum to guide predictions regarding the effectiveness of several FOP systems currently used in the marketplace. In Studies 1a and 1b, we compare the effects of a broad set of FOP icons on nutrition evaluations linked to health, accuracy of evaluations, and purchase intentions for a single product. Based on these findings, Studies 2 and 3 test the effects of two conceptually-different FOP icon systems in a retail laboratory in which consumers make comparative evaluations of multiple products at the retail shelf. While there are favorable effects of each system beyond control conditions with no FOP icons, results show that icons with an evaluative component that aid consumers’ interpretations generally provide greater benefits (particularly in product comparison contexts). We offer implications for consumer packaged goods marketers, retailers, and the public policy and consumer health communities.     

Oh the places they’ll go. Examining the early career path of hospitality alumni

ABSTRACT

This research adds to the overall literature and academic understanding of early career progression of hospitality professionals. The results of an analysis of the career profiles of graduates of an undergraduate business school majoring in Hospitality and Tourism Management indicate that there are five potential career paths for hospitality professionals graduating from this program. The groups are (1) Traditional Hospitality; (2) Stallers; (3) Nonhospitality; (4) Loyalists; and (5) Entrepreneurs. The findings indicate that there is substantial job movement in the first three years after graduation. Further, if promotion happens within the first 6 months to a year, graduates are more likely to stay with the organization. Finally, those that leave hospitality are likely to go into highly related fields such as health care and real estate.     

LOCAL LABOR MARKETS AND NATURAL RESOURCES: A SYNTHESIS OF THE LITERATURE

A primary way that natural resources affect a locality is through the demand for labor, with greater extraction requiring more workers. Shifts in labor demand can be measured through changes in employment and earnings, the main labor market outcomes, or through changes in the population and income, more generally. These changes may spillover into the nonresource economy, leading to greater overall effects or possibly crowd out; be spread unequally across the population, thereby altering the distribution of income and the poverty rate; or influence educational attainment, as people choose between additional schooling and work. In this review, the literature linking natural resources to local labor markets is synthesized by organizing existing studies according to their resource measurement and the outcomes that they consider. This synthesis provides an accessible guide to a literature that has boomed in recent years. It also identifies promising avenues for future research and lays a foundation to further generalize the evidence through an eventual meta‐analysis.     

Spatial clustering of time series via mixture of autoregressions models and Markov random fields

Time series data arise in many medical and biological imaging scenarios. In such images, a time series is obtained at each of a large number of spatially dependent data units. It is interesting to organize these data into model‐based clusters. A two‐stage procedure is proposed. In stage 1, a mixture of autoregressions (MoAR) model is used to marginally cluster the data. The MoAR model is fitted using maximum marginal likelihood (MMaL) estimation via a minorization–maximization (MM) algorithm. In stage 2, a Markov random field (MRF) model induces a spatial structure onto the stage 1 clustering. The MRF model is fitted using maximum pseudolikelihood (MPL) estimation via an MM algorithm. Both the MMaL and MPL estimators are proved to be consistent. Numerical properties are established for both MM algorithms. A simulation study demonstrates the performance of the two‐stage procedure. An application to the segmentation of a zebrafish brain calcium image is presented.     

Disclosure and the Cost of Capital: A Survey of the Theoretical Literature

This article offers a survey of theoretical research on disclosure and the cost of capital. We summarize the current state of the literature and discuss the channels through which information affects the cost of capital. After giving an overview of asset pricing theory, we examine the rationale for an accounting risk factor or an ex‐ante effect of information on the cost of capital. Then, we discuss the role of voluntary disclosure, heterogenous beliefs, investor base, liquidity shocks, earnings management, and agency problems as determinants of the cost of capital. Linkages between productive decisions and the cost of capital, and their implication for investor welfare, are also examined.