Robot adoption, worker-firm sorting and wage inequality: Evidence from administrative panel data.

Autor/inn/en	Faia, Ester; Ottaviano, Gianmarco I. P.; Spinella, Saverio
Institution	Centre for Economic Performance
Titel	Robot adoption, worker-firm sorting and wage inequality: Evidence from administrative panel data. Gefälligkeitsübersetzung: Einführung von Robotern, Sortierung zwischen Arbeitnehmern und Unternehmen und Lohnungleichheit: Evidenz aus administrativen Paneldaten.
Quelle	London (2023), 62 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) Link als defekt meldenVerfügbarkeit
Reihe	CEP discussion paper / Centre for Economic Performance. 1902
Sprache	englisch
Dokumenttyp	online; Monographie
Schlagwörter	Allokation; Italien; Roboter; Unternehmen; Auswirkung; Qualifikation; Berufsgruppe; Arbeitsplatzwechsel; Einkommensunterschied; Anwendung; Branche; Automatisierung; Roboter; Technologische Entwicklung; Einkommensunterschied; Allokation; Branche; Einkommenseffekt; Unternehmen; Arbeitskraft; Arbeitsplatzwechsel; Berufsgruppe; Qualifikation; Anwendung; Arbeitspapier; Auswirkung; Einflussfaktor; Italien
Abstract	"Leveraging the geographic dimension of a large administrative panel on employer-employee contracts, we study the impact of robot adoption on wage inequality through changes in worker-firm assortativity. Using recently developed methods to correctly and robustly estimate worker and firm unobserved characteristics, we find that robot adoption increases wage inequality by fostering both horizontal and vertical task specialization across firms. In local economies where robot penetration has been more pronounced, workers performing similar tasks have disproportionately clustered in the same firms ('segregation'). Moreover, such clustering has been characterized by the concentration of higher earners performing more complex tasks in firms paying higher wages ('sorting'). These firms are more productive and poach more aggressively. We rationalize these findings through a simple extension of a well-established class of models with two-sided heterogeneity, on-the-job search, rent sharing and employee Bertrand poaching, where we allow robot adoption to strengthen the complementarities between firm and worker characteristics." The study refers to the period 1983-2020. (Author's abstract, IAB-Doku)..
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2023/1