Economical Activity Of The Polish Population

• Autorzy: Beata Bieszk-Stolorz , Iwona Markowicz
• Języki publikacji: EN

Abstrakty

EN

The aim of the article is to examine the impact of a job seeker's gender, education, age on their employment odds in Poland in 2011. The research includes Polish population which was economically active and aged 15 and more in 2011 (17,951 thousand people). The research tool was a logit model. The starting point for the analysis was the construction of a model that related employment to gender only. Then other models with many explanatory variables were constructed. Since the gender related odds ratios that have been determined for the sake of those models are interpreted under the assumption that the other variables are constant, it indicates that the women's and men's odds ratio remains the same in urban and rural areas, on every education level and in every age group. But in reality it is not true. This is why we estimated the models that contained only one explanatory variable (gender) for individual subgroups and models with the interactions.(original abstract)

Słowa kluczowe

EN

Logit model; Economic activity; Labour market

PL

Model logitowy; Aktywność ekonomiczna; Rynek pracy

• Czasopismo: Folia Oeconomica Stetinensia
• Rocznik: 2014
• Tom: 14
• Numer: nr 2
• Strony: 198--210

Twórcy

autor

Beata Bieszk-Stolorz

• University of Szczecin, Poland

autor

Iwona Markowicz

• University of Szczecin, Poland

Bibliografia

• Agresti, A. (2002). Categorial Data Analysis. Second Edition. Hoboken, NJ: John Wiley & Sons.
• Bieszk-Stolorz, B. (2011). Economic Activity of the Disabled in Poland in 2010. Folia Oeconomica Stetinensia, 10 (18) 2011/2, 128-137.
• Blazy, R. & Chopard, B. (2012). (Un)secured debt and the likelihood of court-supervised reorganization. European Journal of Law and Economics, 34, 45-61.
• Cramer, J.S. (2002). The Origins of Logistic Regression. Working Paper. Tinbergen Institute, No. 119/4, http://dare.uva.nl/document/204 (15.09.2012).
• Cuesta, M.B. & Martín, N.E.R. (2009). Part-time employment: a comparative analysis of Spain and the Netherlands. European Journal of Law and Economics, 28, 223-256.
• Fijorek, K. & Sokołowski, A. (2012). Separation-Resistant and Bias-Reduced Logistic Regression: STATISTICA Macro. Journal of Statistical Software.
• García-Sánchez, I.-M., Rodríguez-Domínguez, L. & Gallego-Álvarez, I. (2013). CEO qualities and codes of ethics. European Journal of Law and Economics, 35, 295-312.
• Hosmer, D.W. & Lemeshow S. (2000). Applied Logistic Regression. New York: John Wiley & Sons.
• Jarosova, E., Mala, I., Esser, M. & Popelka, J. (2004). Modelling Time of Unemployment via Long-Location-Scale Model. COMPSTAT 2004 Symposium, Physica-Verlag/Springer. http://most.ujep.cz/~popelka/compstat.pdf (15.12.2012).
• Kleinbaum, D.G. & Klein, M. (2002). Logistic Regression. A Self-Lerning Text. New York: Springer-Verlag.
• Kostaki, A. & Ioakimoglou E. (1998). Demographic Factors Affecting Long-Term Unemployment in Greece. Proceedings of the International Labour Market Conference, Aberdeen, Scotland.
• Labour Force Survey in Poland IV Quarter 2011, (2012). Statistical Information and Elaborations, Warszawa, Central Statistical Office.
• Lučkaničová, M., Ondrušeková, I. & Rešovský, M. (2012). Employment modelling in Slovakia: Comparing Logit models in 2005 and 2009. Economic Annals, LVII (192). DOI:10.2298/ EKA1292025L.
• Markowicz, I. & Stolorz, B. (2009a). Interpretation of Parameters of the Logistic Regression and Ways of Coding of Explanatory Variables. Polish Journal of Environmental Studies, 18 (3B), 252-256.
• Markowicz, I.& Stolorz, B. (2009b). The Applications of Logistic Regression for Analysing the Odds of Commencing Employment. In: Quantitative Methods in Regional and Sectoral Analysis, eds. D. Witkowska, M. Łatuszyńska (pp. 85-99). Szczecin: Zapol.
• Meyer, B.D. (1990). Unemployment Insurance and Unemployment Spells. Econometrica, 58 (4), 757-782.
• Richard, J.-L. (1997). Unemployment Among Young People of Foreign Origin in France: Ways of Measuring Discrimination. In: On the way to a multicultural society? The Siena Group Seminar on Social Statistics (pp. 101-135). Bern: Bundesamt für Statistik.
• Stevens, S.S. (1946). On the Theory of Scales Measurement. Science, 103 (2684), 677-680.
• Wiśniewski, J.W. (2011). Dilemmas of Economic Measurements in Weak Scales. Folia Oeconomica Stetinensia, 10 (18), 50-59.
• www.jstatsoft.org/v47/c02/paper (2.06.2012).

Identyfikatory

DOI

10.1515/foli-2015-0007