A logit model for the estimation of the educational level influence on unemployment in Romania

Bogdan Oancea, Richard Pospisil and Raluca Dragoescu

MPRA Paper from University Library of Munich, Germany

Abstract: Education is one of the main determinants of the unemployment level in all EU countries. In this paper we used a logit model to estimate the effect of the educational level on the unemployment in Romania using data recorded at the Population and Housing Census 2011. Besides the educational level we also used other socio-demographic variables recorded at the Census like gender, marital status, residential area. Data processing was achieved using R software system and since the data set used for model estimation was very large we used special techniques suited for big data processing. The results showed that the lowest odds ratio to be unemployed was recorded for population with tertiary education which is consistent with other studies at international level and with the official statistics data, but our study indicates that tertiary education has a greater impact on unemployment in Romania than in other EU countries.

Keywords: educational level; unemployment; logit; higher education (search for similar items in EconPapers)
JEL-codes: I20 J24 (search for similar items in EconPapers)
Date: 2016-06-07, Revised 2016-09-07
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Citations: View citations in EconPapers (1)

Published in Proceedings of the Knowledge for Market Use Conference (2017): pp. 334-344

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