Application of the econometric apparatus for estimating some parameters in the field of gender equality on the Moldovan labour market
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NAVAL, Elvira, COLESNICOVA, Tatiana. Application of the econometric apparatus for estimating some parameters in the field of gender equality on the Moldovan labour market. In: Dezvoltarea economico-socială durabilă a euroregiunilor şi a zonelor transfrontaliere, Ed. 35, 25 octombrie 2019, Iași, România. Iași, România: Performantica, 2019, Vol.35, pp. 315-322. ISBN 978-606-685-687-4.
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Dezvoltarea economico-socială durabilă a euroregiunilor şi a zonelor transfrontaliere
Vol.35, 2019
Conferința "Dezvoltarea economico-socială durabilă a euroregiunilor şi a zonelor transfrontaliere"
35, Iași, România, Romania, 25 octombrie 2019

Application of the econometric apparatus for estimating some parameters in the field of gender equality on the Moldovan labour market

Aplicarea aparatului econometric pentru estimarea unor parametri din domeniul egalității de gen în câmpul muncii din Republicii Moldova

CZU: 331.5:331.101.232(478)
JEL: C12, J16, J7

Pag. 315-322

Naval Elvira1, Colesnicova Tatiana2
 
1 Vladimir Andrunachievici Institute of Mathematics and Computer Science,
2 National Institute for Economic Research of Moldova
 
 
Disponibil în IBN: 11 februarie 2020


Rezumat

The main goal of thisarticle is to evaluatethe perception ofgender inequality based on the selected data from the questionnaireon gender problems (latest results), elaborated by the team of the STCU project. From the twenty-eight indicators of this questionnaire there were selected five, namely: the perception of existence of inequality in the workplace, gender, age, the level of educationand the sector of economic activity. Using the obtained data, gender inequality in the workplace has been estimated in the paperwith the fourremaining indicators. As a result, a regression function was defined. The determined regression function was estimated and analyzed.

Cuvinte-cheie
gender inequality, gender questionnaire, labor demand and supply, least square method, regression function