Incumbency advantage and its value

Markets with network effects are typically concentrated. The aim of this paper is to discuss some recent work on “incumbency advantage.” That is, the fact that firms already installed generate higher profits than entrants even if the latter offer identical or even better terms (in terms of price and quality) to consumers. In particular, we review recently known sources of the advantage and potential mitigating factors and point to a number of open issues.     

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.     

Intention and Stochastic Outcomes: An Experimental study

Do people care about intentions – even when good intentions do not produce good results? In our experiments we find that rates of punishment and reward react strongly to intentions (the wage a firm decides to pay) and more modestly to distributional outcomes (the higher or lower wage actually received including the stochastic component). For example, workers who end up receiving medium wages respond much more positively when this resulted from the firm offering a high wage but bad luck lowered the worker's pay than when this resulted from the firm offering a low wage and good luck raised the pay.     

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.     

Evaluating expectations of <Emphasis Type="Italic">L</Emphasis>-statistics by the Steffensen inequality

By combining the Moriguti and Steffensen inequalities, we obtain sharp upper bounds for the expectations of arbitrary linear combinations of order statistics from iid samples. The bounds are expressed in terms of expectations of the left truncated parent distribution and constants that depend only on the coefficients of the linear combination. We also present analogous results for dependent id samples. The bounds are especially useful for L-estimates of the scale parameter of the distribution.     

The Feldstein–Horioka puzzle in Latin American and Caribbean countries: a panel cointegration analysis

In this paper, the recently developed panel unit root and the Pedroni cointegration tests are applied to empirically examine the validity of the Feldstein–Horioka puzzle (F–H puzzle) for a heterogeneous panel of 14 Latin American and five Caribbean countries over the period, 1960–2002. The findings indicate that in these countries, the long-run solvency condition is maintained. Finally, employing the Pedroni panel group FM-OLS estimator (2000, 2001), it is found that the statistically significant estimated savings-retention coefficient for the panel is relatively small indicating that the F–H Puzzle is not valid and thus implying the prevalence of a moderate degree of capital mobility.

Auditing Human Resource Management in the Global Environment

The globalization of business is making it increasingly important to understand how multinational enterprises (MNEs) can operate more effectively. Human resource management can be a critical determinant of corporate effectiveness, particularly as it plays out in the global arena. This article discusses how MNEs enhance their ability to utilize human resources and internal labour markets for competitive advantage through audits of the international human resource management (IHRM) function. A multidimensional auditing framework is developed and applied to the strategic aspects of IHRM in MNEs and international joint ventures.     

The disclosure of key performance indicators in the public sector

This article investigates the disclosure of key performance indicators in the annual reports of Irish public sector organizations. It begins by discussing the two main driving forces behind public sector bodies disclosing performance information in their annual reports for the first time as well as looking at other contributing factors. The present situation with regard to the disclosure of key performance indicators in the whole of Ireland is then analysed. A number of annual reports from central government departments or agencies, local government bodies, other public sector entities and, in the case of the Republic of Ireland, semi-state organizations are examined to see whether such information is being disclosed and, more importantly, whether performance indicators are being linked to predetermined objectives and targets.     

An application of nonparametric volatility estimators to option pricing

We discuss the impact of volatility estimates from high frequency data on derivative pricing. The principal purpose is to estimate the diffusion coefficient of an Itô process using a nonparametric Nadaraya–Watson kernel approach based on selective estimators of spot volatility proposed in the econometric literature, which are based on high frequency data. The accuracy of different spot volatility estimates is measured in terms of how accurately they can reproduce market option prices. To this aim, we fit a diffusion model to S&P 500 data, and successively, we use the calibrated model to price European call options written on the S&P 500 index. The estimation results are compared to well-known parametric alternatives available in the literature. Empirical results not only show that using intra-day data rather than daily provides better volatility estimates and hence smaller pricing errors, but also highlight that the choice of the spot volatility estimator has effective impact on pricing.