Volatilidad en los ingresos y en el mercado de trabajo de los jóvenes en Europa

Los autores ofrecen nuevos datos empíricos sobre la volatilidad en los ingresos y en el mercado de trabajo (incluyendo entradas y salidas del empleo) de los jóvenes en Europa durante la Gran Recesión. Los datos de EU‐SILC para el periodo 2004–2013 revelan grandes disparidades al respecto entre los países europeos. La Gran Recesión incrementó la volatilidad entre los jóvenes. Mediante un ejercicio de descomposición de la varianza se observa una mayor rotación laboral en el sur de Europa. Según un modelo de efectos fijos, un mayor nivel de prestaciones de desempleo y de protección del empleo se asocia con una reducción de la volatilidad.     

Russian workers’ experiences with and perceptions of sexual harassment severity

As the reach of global business operations increases, cultural context will likely influence the nature and amount of sexual harassment workers experience. Surprisingly, little is known about sexual harassment in Russia, an attractive target for expanding companies. To address this gap in the literature, we examine Russian workers’ perceptions of sexual harassment severity through the lens of cultural context. In particular, we examine the sexual harassment severity perceptions from the perspective of both targets and perpetrators. Results indicate that as targets of sexual harassment, Russian women and men held similar sexual harassment severity perceptions. However, as perpetrators, Russian women reported perceiving the harassment they committed as being less severe than the reports of Russian men. Further, among both targets and perpetrators, Russian women held less permissive sexual attitudes than Russian men, with this difference mediating the relationship between participant sex and perceived sexual harassment severity: women perceived greater severity than men because women hold less permissive sexual attitudes. Implications for research, practice, and the role of national culture in shaping the social construction of sexual harassment are discussed.     

Employee experience –the missing link for engaging employees: Insights from an MNE's AI-based HR ecosystem

Analyzing multiple data sources from a global information technology (IT) consulting multinational enterprise (MNE), this research unpacks the configuration of a digitalized HR ecosystem of artificial intelligence(AI)-assisted human resource management (HRM) applications and HR platforms. This study develops a novel theoretical framework mapping the nature and purpose of a digitalized AI-assisted HR ecosystem for delivering exceptional employee experience (EX), an antecedent to employee engagement (EE). Employing the theoretical lenses of EX, EE, AI-mediated social exchange, and engagement platforms, this study's overarching aim of this article is to establish how AI-assisted HRM fits into an organization's ecosystem and, second, how it impacts EX and EE. Our findings show that AI-assisted applications for HRM enhance EX and, thus, EE. We also see increases in employee productivity and HR function's effectiveness. Implications for research and practice are also discussed.     

Do employment subsidies work? Evidence from regionally targeted subsidies in Turkey

This paper studies the effects on registered employment and number of registered establishments of two employment subsidy schemes in Turkey. We implement a difference-in-differences methodology to construct appropriate counterfactuals for the covered provinces. Our findings suggest that both subsidy programs did lead to significant net increases in registered jobs in eligible provinces (5%–13% for the first program and 11%–15% for the second). However, the cost of the actual job creation was high because of substantial deadweight losses, particularly for the first program (47% and 78%). Because of better design features, the second subsidy program had lower, though still significant, deadweight losses (27%–46%). Although constrained by data availability, the evidence suggests that the dominant effect of subsidies was to increase social security registration of firms and workers rather than boosting total employment and economic activity. This supports the theory that in countries with weak enforcement institutions, high labor taxes on low-wage workers may lead to substantial incentives for firms and workers to operate informally.     

The Sarbanes-Oxley Act and CEO tenure,turnover, and risk aversion

Using a sample of CEO turnover from 1999 to 2005, we find that CEOs become significantly more risk averse following the passage of the Sarbanes-Oxley Act, SOX. Their increased risk aversion may serve as an explanation for why CEO tenure is not significantly shortened and forced CEO turnover is not more likely post-SOX, as we document in this paper. In addition, we provide evidence that financial restatements have some effects on CEO tenure and the probability of forced CEO turnover. This may be due to intensified monitoring activities by the board and the financial press in the post-SOX era, but we cannot contribute all of it to SOX. In some occasions, SOX seems to weaken the effect of board monitoring on CEO tenure and the effect of firm performance on CEO risk aversion. Though the increased monitoring level post-SOX contribute to the increased CEO risk aversion, little impact is found from the SOX-mandated accuracy and transparency of financial reporting.     

Product Unbundling in the Travel Industry: The Economics of Airline Bag Fees

This paper provides theory and evidence on airline bag fees, offering insights into a real‐world case of product unbundling. The theory predicts that an airline's fares should fall when it introduces a bag fee, but that the full‐trip price (the bag fee plus the new fare) could either rise or fall. The empirical evidence presented in the paper provides strong confirmation of the first prediction. The data also suggest that the average fare falls by less than the bag fee itself so that the full price of a trip rises for passengers who choose to check bags.     

Value at risk models for volatile emerging markets equity portfolios

This paper investigates the issue of market risk quantification for emerging and developed market equity portfolios. A very wide spectrum of popular and widely used in practice Value at Risk (VaR) models are evaluated and compared with Extreme Value Theory (EVT) and adaptive filtered models, during normal, crises, and post-crises periods. The results are interesting and indicate that despite the documented differences between emerging and developed markets, the most successful VaR models are common for both asset classes. Furthermore, in the case of the (fatter tailed) emerging market equity portfolios, most VaR models turn out to yield conservative risk forecasts, in contrast to developed market equity portfolios, where most models underestimate the realized VaR. VaR estimation during periods of financial turmoil seems to be a difficult task, particularly in the case of emerging markets and especially for the higher loss quantiles. VaR models seem to be affected less by crises periods in the case of developed markets. The performance of the parametric (non-parametric) VaR models improves (deteriorates) during post-crises periods due to the inclusion of extreme events in the estimation sample.     

Unit root testing via the stationary bootstrap

A nonparametric, residual-based stationary bootstrap procedure is proposed for unit root testing in a time series. The procedure generates a pseudoseries which mimics the original, but ensures the presence of a unit root. Unlike many others in the literature, the proposed test is valid for a wide class of weakly dependent processes and is not based on parametric assumptions on the data-generating process. Large sample theory is developed and asymptotic validity is shown via a bootstrap functional central limit theorem. The case of a least squares statistic is discussed in detail, including simulations to investigate the procedure's finite sample performance.     

Bootstrapping the Box–Pierce Q test: A robust test of uncorrelatedness

This paper describes a test of the null hypothesis that the first K autocorrelations of a covariance stationary time series are zero in the presence of statistical dependence. The test is based on the Box–Pierce Q statistic with bootstrap-based P-values. The bootstrap is implemented using a double blocks-of-blocks procedure with prewhitening. The finite sample performance of the bootstrap Q   test is investigated by simulation. In our experiments, the performance is satisfactory for samples of n=500$n=500$. At this sample size, the differences between the empirical and nominal rejection probabilities are essentially eliminated.