Anders Frederiksen

Aarhus University
Department of Business Development
and Technology
Birk Centerpark 15
7800 Herning
Tel: +45 61620207

E-Mail: afr@btech.au.dk
Institutional Affiliation: Aarhus University

NBER Working Papers and Publications

April 2017Supervisors and Performance Management Systems
with Lisa B. Kahn, Fabian Lange: w23351
We study how heterogeneity in performance evaluations across supervisors affects employee and supervisor careers and firm outcomes using data on the performance system of a Scandinavian service sector firm. We show that supervisors vary widely in how they rate subordinates of similar quality. To understand the nature of this heterogeneity, we propose a principal-agent model according to which supervisors can differ in their ability to elicit output from subordinates or in their taste for leniency when rating subordinates. The model also allows for variation in how informed firms are about this heterogeneity. Within the context of this model, we can discern the nature of the heterogeneity across supervisors and how informed firms are about this heterogeneity by relating estimated supervisor...

Published: Anders Frederiksen & Lisa B. Kahn & Fabian Lange, 2020. "Supervisors and Performance Management Systems," Journal of Political Economy, vol 128(6), pages 2123-2187.

June 2016Consumption Network Effects
with Giacomo De Giorgi, Luigi Pistaferri: w22357
In this paper we study consumption network effects. Does the consumption of our peers affect our own consumption? How large is such effect? What are the economic mechanisms behind it? We use long panel data on the entire Danish population to construct a measure of consumption based on administrative tax records on income and assets. We combine tax record data with matched employer-employee data so that we can construct peer groups based on workplace, which gives us a much tighter, precise, and credible definition of networks than used in previous literature. We use the available data to construct peer groups that do not perfectly overlap, and as such provide valid instruments derived from the network structure of one's peers group. The longitudinal nature of our data also allow us to estim...

Published: Giacomo De Giorgi & Anders Frederiksen & Luigi Pistaferri, 2020. "Consumption Network Effects," The Review of Economic Studies, vol 87(1), pages 130-163. citation courtesy of

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