Labour statistics in south‐eastern Europe: Similarities and differences across national definitions

Date01 September 2016
AuthorGjergji FILIPI
DOIhttp://doi.org/10.1111/ilr.12043
Published date01 September 2016
* This short note is the last piece of work that Gjergji Filipi produced before his sudden
death in December 2015. Mr Filipi was born on 16 April 1977, in Albania. He studied at the Acad-
emy of Economic Studies in Bucharest, where he obtained a PhD in International Business and
Economics, and later at the Edmund A. Walsh School of Foreign Service, Washington, DC, where
he received a Postdoctoral Certicate in International Development and Foreign Policy. Mr Filipi
was a well-known and respected member of the international community, involved in many inter-
national and European Union projects on economic development and EU integration. He taught
international nance, microeconomics and macroeconomics at the European University of Tirana,
and held the position of Research Director at the Agenda Institute in Albania. At the time of his
death, Mr Filipi was serving as General Director of the Albanian Statistical Institute, a position he
had held since October 2013. During this period, he developed strong collaboration with the ILO
and deep friendships with ILO colleagues.
Responsibility for opinions expressed in signed articles rests solely with their authors, and
publication does not constitute an endorsement by the ILO.
Labour statistics in south-eastern Europe:
Similarities and differences across national denitions
Gjergji Filipi*
Abstract. It is obviously important to harmonize national statistical denitions
of employment, unemployment and inactivity – both for general accuracy and for
international data comparability. This concise overview compares the statistical prac-
tices of Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Kosovo, Macedonia,
Montenegro, Serbia, Slovenia and Turkey in this respect. While all of these terri-
tories and countries rely on labour force surveys to collect the required data, they
exhibit discrepancies as to the denitions, classication and labour market status
of specic groups, particularly in regard to the statistical category of unemploy-
ment. The paper concludes with a plea for remedying these remaining discrepan-
cies through further harmonization.
Although basic data on employment can be derived from several sources
– e.g. administrative records, labour force surveys and establishment or
enterprise-based surveys – labour force surveys are the main source used to
calculate labour market indicators. A labour force survey is a standard house-
hold-based survey that is conducted by the ofcial statistical institute of each
NOTES AND DEBATES
Copyright © The author 2016
Journal compilation © International Labour Organization 2016
International Labour Review, Vol. 155 (2016), No. 3

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