Department of Economics and Business Economics

The Danish Matched Employer-Employee Data

Research output: Working paperResearch

Standard

The Danish Matched Employer-Employee Data. / Bobbio, Emmanuele; Bunzel, Henning.

Aarhus : Institut for Økonomi, Aarhus Universitet, 2018.

Research output: Working paperResearch

Harvard

Bobbio, E & Bunzel, H 2018 'The Danish Matched Employer-Employee Data' Institut for Økonomi, Aarhus Universitet, Aarhus.

APA

Bobbio, E., & Bunzel, H. (2018). The Danish Matched Employer-Employee Data. Aarhus: Institut for Økonomi, Aarhus Universitet. Economics Working Papers, No. 2018-03

CBE

Bobbio E, Bunzel H. 2018. The Danish Matched Employer-Employee Data. Aarhus: Institut for Økonomi, Aarhus Universitet.

MLA

Bobbio, Emmanuele and Henning Bunzel The Danish Matched Employer-Employee Data. Aarhus: Institut for Økonomi, Aarhus Universitet. (Economics Working Papers; Journal number 2018-03). 2018., 35 p.

Vancouver

Bobbio E, Bunzel H. The Danish Matched Employer-Employee Data. Aarhus: Institut for Økonomi, Aarhus Universitet. 2018 May 7.

Author

Bobbio, Emmanuele ; Bunzel, Henning. / The Danish Matched Employer-Employee Data. Aarhus : Institut for Økonomi, Aarhus Universitet, 2018. (Economics Working Papers; No. 2018-03).

Bibtex

@techreport{ad33c1b076b443368b4f09a94e44234b,
title = "The Danish Matched Employer-Employee Data",
abstract = "The Danish data constitutes a unique source of information: it covers and links together the universe of persons, establishments and firms for more than 30 years. In addition workers’ histories are constructed at the weekly level. The data has the potential to become a benchmark in social research, but access has been limited by the lack of systematic documentation. The chapter provides an introduction, with a particular emphasis on those portions more commonly used in labor market research. We establish a wide variety of descriptive statistics that can serve as a reference for future studies. The second part is dedicated to a more detailed analysis of wages and flows, for which the data is uniquely well suited. Returns to seniority are low on average and even lower for workers coming from unemployment; wage changes between jobs are large, but often negative and in these cases the wage remains persistently lower. Labor market turnover is high, the unconditional job and unemployment hazard display strong negative duration dependence. Also, higher wages are associated with a lower probability and duration of unemployment. Finally, we use the data to revisit the recent debate on the “ins and outs” of unemployment: the reduced form decomposition assigns 2/3 of unemployment volatility to the ue rate; the ue rate is procyclical, while the eu rate countercyclical and leads unemployment; the ee rate is procyclical, so the separation rate is essentially acyclical. These results are remarkably consistent with findings from U.S. data.",
keywords = "Danish MEE data, wage dispersion, job flows, personal wage dynamics, turnover, ins and outs of unemployment",
author = "Emmanuele Bobbio and Henning Bunzel",
year = "2018",
month = "5",
day = "7",
language = "English",
publisher = "Institut for {\O}konomi, Aarhus Universitet",
type = "WorkingPaper",
institution = "Institut for {\O}konomi, Aarhus Universitet",

}

RIS

TY - UNPB

T1 - The Danish Matched Employer-Employee Data

AU - Bobbio,Emmanuele

AU - Bunzel,Henning

PY - 2018/5/7

Y1 - 2018/5/7

N2 - The Danish data constitutes a unique source of information: it covers and links together the universe of persons, establishments and firms for more than 30 years. In addition workers’ histories are constructed at the weekly level. The data has the potential to become a benchmark in social research, but access has been limited by the lack of systematic documentation. The chapter provides an introduction, with a particular emphasis on those portions more commonly used in labor market research. We establish a wide variety of descriptive statistics that can serve as a reference for future studies. The second part is dedicated to a more detailed analysis of wages and flows, for which the data is uniquely well suited. Returns to seniority are low on average and even lower for workers coming from unemployment; wage changes between jobs are large, but often negative and in these cases the wage remains persistently lower. Labor market turnover is high, the unconditional job and unemployment hazard display strong negative duration dependence. Also, higher wages are associated with a lower probability and duration of unemployment. Finally, we use the data to revisit the recent debate on the “ins and outs” of unemployment: the reduced form decomposition assigns 2/3 of unemployment volatility to the ue rate; the ue rate is procyclical, while the eu rate countercyclical and leads unemployment; the ee rate is procyclical, so the separation rate is essentially acyclical. These results are remarkably consistent with findings from U.S. data.

AB - The Danish data constitutes a unique source of information: it covers and links together the universe of persons, establishments and firms for more than 30 years. In addition workers’ histories are constructed at the weekly level. The data has the potential to become a benchmark in social research, but access has been limited by the lack of systematic documentation. The chapter provides an introduction, with a particular emphasis on those portions more commonly used in labor market research. We establish a wide variety of descriptive statistics that can serve as a reference for future studies. The second part is dedicated to a more detailed analysis of wages and flows, for which the data is uniquely well suited. Returns to seniority are low on average and even lower for workers coming from unemployment; wage changes between jobs are large, but often negative and in these cases the wage remains persistently lower. Labor market turnover is high, the unconditional job and unemployment hazard display strong negative duration dependence. Also, higher wages are associated with a lower probability and duration of unemployment. Finally, we use the data to revisit the recent debate on the “ins and outs” of unemployment: the reduced form decomposition assigns 2/3 of unemployment volatility to the ue rate; the ue rate is procyclical, while the eu rate countercyclical and leads unemployment; the ee rate is procyclical, so the separation rate is essentially acyclical. These results are remarkably consistent with findings from U.S. data.

KW - Danish MEE data, wage dispersion, job flows, personal wage dynamics, turnover, ins and outs of unemployment

M3 - Working paper

BT - The Danish Matched Employer-Employee Data

PB - Institut for Økonomi, Aarhus Universitet

CY - Aarhus

ER -