Modelling of the Unemployment Duration in the Czech Republic Based on Aggregated Complete and Individual Censored Data

Ivana Malá () and Adam Èabla
Additional contact information
Ivana Malá: Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Statistics and Probability
Adam Èabla: Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Statistics and Probability

Journal of Economics / Ekonomicky casopis, 2022, vol. 70, issue 2, 171-187

Abstract: The unemployment rate is considered to be one of the essential characteristics of the state of the economy. Unemployment duration can also describe the situation in the labour market. There are two sources of data on the duration of unemployment in the Czech Republic – data from the Labour Force Sample Survey provided by the Czech Statistical Office (aggregated or individual data) and aggregated data from the database of registered unemployed people held by labour offices under the Ministry of Labour and Social Affairs. Two parametric lognormal distribution is used to model the distribution of durations quarterly from 1Q 2000 to 2Q 2019. The maximum likelihood estimates of parameters are found from individual data taking into account censored (incomplete observations) when observing unemployment duration; the minimum chi-squared method is used to estimate parameters from aggregated data. Time series of estimated parameters from different data sources, estimation procedures and data types are presented and compared. The relationship between the rate of unemployment and the duration of unemployment is shown.

Keywords: unemployment duration; Labour Force Sample Survey; survival analysis; unemployment rate (search for similar items in EconPapers)
JEL-codes: C34 C41 E24 J64 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.sav.sk/journals/uploads/0525153802%202 ... %8Cabla%20+%20SR.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sav:journl:v:70:y:2022:i:2:p:171-187

Access Statistics for this article

Journal of Economics / Ekonomicky casopis is currently edited by Tomas Jeck

More articles in Journal of Economics / Ekonomicky casopis from Institute of Economic Research, Slovak Academy of Sciences Contact information at EDIRC.
Bibliographic data for series maintained by Peter Renac ().