DETERMINANTS OF UNEMPLOYMENT AND OCCUPATION IN ROMANIA BASED ON A SECTORIAL APPROACH
Abstract
This paper brings as novelty for economic literature the identification of the unemployment and occupation determinants by taking into account variables that are measured at sectorial level. The analysis for Romania is based on the stochastic search variable selection and it is made on two sub-periods (1992-2008 and 20082014), because of the changes in the methodology for economic activities classification. The increase of employed female population in manufacturing industry had the highest impact of unemployment decrease over 1992-2008. In the same period, the highest influence on occupation rate is given by the occupied population in agriculture and forestry. Starting with 2008 till 2014, the highest influence on occupation rate is given by the female occupied population in extractive industry. There are individual effects in time that influence the unemployment and occupation on sectors, the economic crisis having an important impact on these variables, according to the fixed effects model for 2008-2014.References
Aydiner-Avsar, N., Onaran, Ö. (2010). The determinants of employment: A sectoral analysis for Turkey. The Developing Economies, 48(2), 203-231.
Buccaro, L.-Rei, D. (2005): Institutional Determinants of Unemployment in OECD Countries.A Time series Cross-sectional Analysis (1960-98).International Institute for Lab Studies.
Cheema, A. R.- Atta, A. (2014): Economic Determinants of Unemployment in Pakistan: Co-integration Analysis. International Journal Of Business And Social Science, 5(3).
George, E. I., & McCulloch, R. E. (1997).Approaches for Bayesian variable selection. Statisticasinica, 7(2): 339-373.
Kollmeyer, C., & Pichler, F. (2013). Is deindustrialization causing high unemployment in affluent countries? Evidence from 16 OECD countries, 1970-2003. Social forces, 91(3), 785-812.
Lee, N. (2014). Grim down South? The determinants of unemployment increases in British cities in the 2008–2009 recession. Regional Studies, 48(11), 1761-1778.
Marelli, E., Patuelli, R., & Signorelli, M. (2012). Regional unemployment in the EU before and after the global crisis. Post-communist economies, 24(2), 155-175.
Mohd Noor, Z.- Mohamed Nor, N.- Abdul Ghani, J. (2007): The Relationship between Output and Unemployment in Malaysia: Does Okun’s Law exist?. International Journal of Economics and Management, 1(3): 337-344.
Nyarko, C. O., Baah-Boateng, W., Nketiah-Amponsah, E. (2014). The effect of search effort on the transition from unemployment to work: Evidence from a cross-section of Ghanaian formal sector workers. Journal of SelfGovernance and Management Economics, 2(2), 44-60. Onaran, Özlem. (2007). “Capital Flows, Turbulences, and Distribution: The Case of Turkey. Intervention: European Journal of Economics and Economic Policies 4, no. 2: 353–74.
Palaskas, T., Psycharis, Y., Rovolis, A., Stoforos, C. (2015). The asymmetrical impact of the economic crisis on unemployment and welfare in Greek urban economies. Journal of Economic Geography, lbv027.
Pollin, Robert; Justine Burns; and James Heintz. 2004. “Global Apparel Production and Sweatshop Labor: Can Raising Retail Prices Finance Living Wages? Cambridge Journal of Economics 28, no. 2: 153–71. Tanveer Choudhry, M., Marelli, E., Signorelli, M. (2012). Youth unemployment rate and impact of financial crises. International journal of manpower, 33(1), 76-95.
Valadkhani, A. (2003): The causes of Unemployment In Iran: an empirical investigation. International Journal of Applied Business and Economic Research, 1(1):21-33.
Simionescu, M. (2015). The assessment of some point and forecast intervals for unemployment rate in Romania. International Journal of Economic Practices and Theories, 5(2), 88-94.
Simionescu, M. (2015 b). Predicting the National Unemployment Rate in Romania Using a Spatial Auto-regressive Model that Includes Random Effects. Procedia Economics and Finance, 22, 663-671.
Spulbăr, C., & Niţoi, M. (2013). Monetary Policy Transmission Mechanism in Romania Over the Period 2001 to 2012: A Bvar Analysis. Annals of the Alexandru Ioan Cuza University-Economics, 60(2), 122-133.
