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Determinants of New Companies’ Formation in Romania at Regional Level. A Fixed Effects Model (FEM) Approach

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  • Dalina-Maria Andrei

    (Institute of Economic Forecasting)

Abstract

This below article will empirically analyse the determinants of new companies’ formation basing on a panel data, covering the period 2010-2019, for 42 counties (including Bucharest municipality) of Romania. An OLS regression equation will be employed with new companies’ formation as dependent variable, and regional GDP, existing entrepreneurship, density of population, immigrants and unemployment rate as independent ones. We estimate the model with cross sections and/or with time fixed and/or random effects and we will also use an LSDV model using dummy variables in order to observe the similarities. Decisions in using a period fixed effect model FEM will be based on Hausman test and redundancy test under Eviews environment. Most of determinants considered will be found significant in their influences on new companies’ formation in Romanian counties.

Suggested Citation

  • Dalina-Maria Andrei, 2021. "Determinants of New Companies’ Formation in Romania at Regional Level. A Fixed Effects Model (FEM) Approach," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 18-27, August.
    • Handle: RePEc:ovi:oviste:v:xxi:y:2021:i:1:p:18-27
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    References listed on IDEAS

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    1. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    2. Sam Youl Lee & Richard Florida & Zoltan J. Acs, 2008. "Creativity and Entrepreneurship: A Regional Analysis of New Firm Formation," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 13, pages 171-182, Edward Elgar Publishing.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    5. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380.
    6. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284.
    7. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    9. Vinod Sutaria & Donald A. Hicks, 2004. "New firm formation: Dynamics and determinants," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(2), pages 241-262, June.
    10. Georgios Fotopoulos, 2014. "On the spatial stickiness of UK new firm formation rates," Journal of Economic Geography, Oxford University Press, vol. 14(3), pages 651-679.
    11. Heike Delfmann & Sierdjan Koster & Philip McCann & Jouke Van Dijk, 2014. "Population Change and New Firm Formation in Urban and Rural Regions," Regional Studies, Taylor & Francis Journals, vol. 48(6), pages 1034-1050, June.
    12. Bourlakis, Michael & Maglaras, George & Aktas, Emel & Gallear, David & Fotopoulos, Christos, 2014. "Firm size and sustainable performance in food supply chains: Insights from Greek SMEs," International Journal of Production Economics, Elsevier, vol. 152(C), pages 112-130.
    13. repec:ebl:ecbull:v:18:y:2008:i:5:p:1-7 is not listed on IDEAS
    14. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    15. Catherine Armington & Zoltan J. Acs, 2008. "The Determinants of Regional Variation in New Firm Formation," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 18, pages 224-243, Edward Elgar Publishing.
    16. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    17. Akihiro Otsuka, 2008. "Determinants of new firm formation in Japan: A comparison of the manufacturing and service sectors," Economics Bulletin, AccessEcon, vol. 18(5), pages 1-7.
    18. Lindh, Thomas & Ohlsson, Henry, 1996. "Self-Employment and Windfall Gains: Evidence from the Swedish Lottery," Economic Journal, Royal Economic Society, vol. 106(439), pages 1515-1526, November.
    19. William J. Baumol, 2002. "Entrepreneurship, Innovation and Growth: The David-Goliath Symbiosis," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 7(2), pages 1-10, Summer.
    20. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
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    More about this item

    Keywords

    new companies formation; entrepreneurship; fixed effect model; dummy variables;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups

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