“Job finding and participation rates in the OECD: identification with job tenure data” was presented by István KÓNYA at the EEA-ESEM Congress (33rd Annual Congress of the European Economic Association and 71st European Meeting of The Econometric Society).
Abstract
It is common practice in the literature to compute labor flows from data on stocks.
To use these flows in standard search models, it is assumed that the economically relevant
movements occur between employment and unemployment. If there are significant flows
between labor force participation and inactivity, ignoring the participation decision can lead
to biased results. This paper shows that while with three states it is impossible to identify
all the flows from publicly available data on stocks, partial identification is possible with
the help of data on unemployment duration and job tenure. A new method is described,
which allows the computation of the transition probabilities that are most relevant from a
macroeconomic perspective. The method is easy to use, and the paper describes the detailed
steps for its implementation to potential users.
Ex-ante evaluation, monitoring and socio-economic impact assestment of research infrastructures in the Danube macro region: Current practices and proposed methods was presented by Attila ... Details »
WHERE DO EAST CENTRAL AND SOUTHERN EUROPEAN MULTINATIONALS INVEST? was presented by Magdolna SASS at the ITEMA 2018 conference. Share this:FacebookLinkedInTwitterGoogle
Presentations by Mária CSANÁDI and Ferenc GYURIS in China: 23 October Beijing: National Development and Reform Commission, Institute of Spatial Planning and Regional Economics ... Details »
