
handle: 10419/46009
With this article, the authors are the first to analyze and explain the relationship between part-time employment and firm productivity. Using a unique data set on the Dutch pharmacy sector that includes the working hours of all employees and a “hard” physical measure of firm productivity, the authors estimate a production function including heterogeneous employment shares based on working hours. The authors find that firms with a large part-time employment share are more productive than firms with a large share of full-time workers: a 10% increase in the part-time share is associated with 4.8% higher productivity. Additional data on the timing of labor demand show that this can be explained by a different allocation of part-timers compared with full-timers. This enables firms with large part-time employment shares to allocate their labor force more efficiently across working days.
L23, L25, IMPACT, LEVEL, J24, WAGES, matched employer-employee data, Pharmazeutische Industrie, Niederlande, LABOR, allocation of labor, HUMAN-RESOURCE MANAGEMENT, WORK, ddc:330, timing of labor demand, Arbeitsnachfrage, heterogeneous labor, PERFORMANCE, education, training and the labour market;, Dienstleistungssektor, Teilzeitarbeit, FULL-TIME, Produktivität, heterogeneous labor, matched employer-employee data, allocation of labor, timing of labor demand, jel: jel:J24, jel: jel:L23, jel: jel:L25
L23, L25, IMPACT, LEVEL, J24, WAGES, matched employer-employee data, Pharmazeutische Industrie, Niederlande, LABOR, allocation of labor, HUMAN-RESOURCE MANAGEMENT, WORK, ddc:330, timing of labor demand, Arbeitsnachfrage, heterogeneous labor, PERFORMANCE, education, training and the labour market;, Dienstleistungssektor, Teilzeitarbeit, FULL-TIME, Produktivität, heterogeneous labor, matched employer-employee data, allocation of labor, timing of labor demand, jel: jel:J24, jel: jel:L23, jel: jel:L25
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
