nep-hrm New Economics Papers
on Human Capital and Human Resource Management
Issue of 2023‒07‒31
five papers chosen by
Patrick Kampkötter
Eberhard Karls Universität Tübingen

  1. Does Performance Pay Increase the Risk of Marital Instability? By Mehrzad B. Baktash; John S. Heywood; Uwe Jirjahn
  2. What Makes Hiring Difficult? Evidence from Linked Survey-Administrative Data By Bertheau, Antoine; Larsen, Birthe; Zhao, Zeyu
  3. Gender-Neutral Language and Gender Disparities By Alma Cohen; Tzur Karelitz; Tamar Kricheli-Katz; Sephi Pumpian; Tali Regev
  4. Digitalisation and the labour market: Worker-level evidence from Slovenia By Antonela Miho; Martin Borowiecki; Jens Høj
  5. Social networks and organizational helping behavior: Experimental evidence from the helping game By Erkut, Hande; Reuben, Ernesto

  1. By: Mehrzad B. Baktash; John S. Heywood; Uwe Jirjahn
    Abstract: This paper uses German survey data on married couples to examine the association of performance pay at work and subsequent separation or divorce. Despite extensive controls, performance pay remains associated with an increased probability of separation or divorce. Yet, the results are entirely gender specific. When husbands earn performance pay, no association with marital instability is found. When wives earn performance pay, the association is large and robust. This pattern persists across a variety of modeling choices and attempts to account for endogeneity. We argue that the pattern fits theoretical expectations and discuss the implications.
    Keywords: Performance Pay, Separation, Divorce, Gender
    JEL: J33 I31 J32
    Date: 2023
    URL: http://d.repec.org/n?u=RePEc:trr:wpaper:202306&r=hrm
  2. By: Bertheau, Antoine (University of Copenhagen); Larsen, Birthe (University of Copenhagen); Zhao, Zeyu (Copenhagen Business School)
    Abstract: We design a survey that asks firms about the obstacles that discourage them from hiring despite having potential needs. Using Danish administrative data and subjective beliefs elicited from our survey, we show how hiring obstacles vary across firms. Over two-thirds of employers agree that skill shortages are a hiring obstacle. One-third of employers consider labor costs, the time to find candidates, and the time to train new recruits as hiring obstacles. High-wage firms are less discouraged by labor costs, while younger or smaller firms are more discouraged by search and training time. Around thirty percent of employers prefer to hire the already employed over the unemployed because they believe that unemployed workers have lower abilities due to negative selection or skill depreciation during unemployment. Firms with such preferences are more likely to report hiring obstacles.
    Keywords: labor demand, hiring behavior, linked survey-administrative data, employer perceptions
    JEL: J23 M12
    Date: 2023–06
    URL: http://d.repec.org/n?u=RePEc:iza:izadps:dp16268&r=hrm
  3. By: Alma Cohen; Tzur Karelitz; Tamar Kricheli-Katz; Sephi Pumpian; Tali Regev
    Abstract: This study investigates empirically whether and how the use of gender-neutral language affects the performance of women and men in real high-stakes exams. We make use of a natural experiment in which the institute administering Israel’s standardized college admission tests amended the language used in its exams, making test language more gender neutral. We find that the change to a more gender-neutral language was associated with a significant improvement in the performance of women on quantitative questions, which meaningfully reduced the gender gap between male and female performance on these questions. However, the change did not affect female performance on verbal questions nor male performance on either quantitative or verbal questions. Our findings are consistent with the hypothesis that gendered language may introduce a "stereotype threat" that adversely affects women’s performance in tasks in which they are stereotypically perceived to underperform. Our findings have significant implications for the ongoing academic and policy discussions regarding the use and effects of gender-neutral language.
    JEL: D83 I20 I24 J16 Z13
    Date: 2023–06
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:31400&r=hrm
  4. By: Antonela Miho; Martin Borowiecki; Jens Høj
    Abstract: This paper provides evidence on the effects of digitalisation on the labour market in Slovenia using a unique dataset of Slovenian workers and firms for the years 2016 to 2020. Results show that at the firm level, digitalisation – measured in terms of ICT investment, is associated with positive and statistically significant effects on employment. However, job growth is not evenly distributed: High-skilled workers and younger workers benefit the most from employment gains, whereas there is little to no employment increases for low- and medium-skilled workers and older workers aged 50 or more. Furthermore, employment effects from digitalisation are strongest for private manufacturing firms. In contrast, ICT investment by state-owned firms is not associated with employment gains.
    Keywords: employment, ICT investment, labour reallocation, wages
    JEL: E22 E24 J62 O33
    Date: 2023–07–10
    URL: http://d.repec.org/n?u=RePEc:oec:ecoaaa:1767-en&r=hrm
  5. By: Erkut, Hande; Reuben, Ernesto
    Abstract: This paper studies the causal impact of social ties and network structure on helping behavior in organizations. We introduce and experimentally study a game called the 'helping game, ' where individuals unilaterally decide whether to incur a cost to help other team members when helping is a rivalrous good. We find that social ties have a strong positive effect on helping behavior. Individuals are more likely to help those with whom they are connected, but the likelihood of helping decreases as the social distance between individuals increases. Additionally, individuals who are randomly assigned to be more central in the network are more likely to help others.
    Keywords: helping, social ties, social networks, communication, organizations
    JEL: D23 D91
    Date: 2023
    URL: http://d.repec.org/n?u=RePEc:zbw:wzbmbh:spii2023203&r=hrm

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