Career or Flexible Work Arrangements? Gender Differences in Self-employment in a Young Market Economy

Abstract

We examined supply-side determinants of transition from the wage and salary sector to self-employment of women and men living Poland. The empirical analysis was made possible due to a unique and under explored longitudinal survey—Social Diagnosis—that contains rare indicators such as job preferences and work events. The empirical results in the 2007–2015 period indicated that women and men transitioning into self-employment were differently motivated. In terms of job attributes, women found independence at work and for those in professional occupations a job matching their competences as a desirable job attribute, while for men the lack of stress, a good salary and independence was key. The analysis of work events and its influence on self-employment weakly confirmed the glass-ceiling hypothesis. In line with other research, our analysis indicated that financial constraints strongly determined the entry into self-employment. A key human capital determinant was past entrepreneurial experience indicating a slow, cautious transition process into self-employment.

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Notes

  1. 1.

    For example, due to an underdeveloped social infrastructure.

  2. 2.

    Also, referred to as the work and family conflict theory.

  3. 3.

    This theoretical perspective is also know as the default theory.

  4. 4.

    This is also known as the default theory.

  5. 5.

    Although the main industry branches were directly owned by the state under communism, a large sector of legal self-employment and small-scale private businesses (such as restaurants, small shops and services) remained in private hands (three-fourths of Poland’s farmland as well). By the early 1990s, due to an already large presence of the private sector under communism, more than half of the Polish economy was in private hands, while more than four-fifths of Polish shops were privately owned.

  6. 6.

    Individuals are treated as self-employed if they report that their main source of income comes from a self-employment activity. In an analogous way, we define employees.

  7. 7.

    This type of model is typically used to model who transitions into self-employment as opposed to remaining in employment (or another state). The main shortcoming of this method is that it omits individuals that are already considered to be in self-employment. For an extensive overview of the literature using these methods see Parker (2009).

  8. 8.

    As robustness check we estimated models with errors clustered at individual and household level. The results (shown in Table 12 and 13, respectively) remain unchanged.

  9. 9.

    Households are selected using a two-stage stratified sampling method. Prior to the sampling, households are stratified by region (voivodeship) and by city size (e.g. rural village, small town, large town, etc). The primary sampling units are either statistical regions (for urban strata) or statistical districts (for rural districts).

  10. 10.

    Additional models have been used to study self-employment such as that by Sarkar et al. (2019), hazard models (e.g. Abbasolu Özgören et al. 2018) or fuzzy set models (e.g. Velilla et al. 2018).

  11. 11.

    This corresponds to 5925 individuals (3092 male, 2833 female). The distribution of transitions per individual is presented in Table 14.

  12. 12.

    Both, Carroll (2002) and Charles and Hurst (2003) find that those at the top of the wealth distribution scale are substantially more willing to take risks than those at the bottom.

  13. 13.

    An alternative specification for those aged 20 to 40 years old confirms the importance of savings for those moving into self-employment. (see Table 10).

  14. 14.

    A few others studies have used similar methods to ours (see e.g. Tervo and Haapanen 2010 for Finland, Georgellis and Wall 2005 for Germany and Do and Duchene 2008 for Vietnam).

  15. 15.

    We control for additional macro-level factors in column (4) and column (5) of Tables 4 and 5 that could provide an indication of labor market demand conditions in order to examine their association with the decision to become self-employed. We only find childcare to be statistically significant (positive), and only for men.

  16. 16.

    At first, stress-related preferences seem counterintuitive given the hassle and uncertainty associated with starting a new business. However, empirical studies present mixed evidence on the relationship between self-employment and work-related stress. For a summary of results, see Hessels et al. (2017)). In fact, these authors show that those working for themselves report lower levels of work-related stress than employees.

References

  1. Abbasolu Özgören, A., Ergöçmen, B., & Tansel, A. (2018). Birth and employment transitions of women in Turkey: Conflicting or compatible roles? Dempgraphic Research, 39(46), 1241–1290.

    Article  Google Scholar 

  2. Allen, W. D., & Curington, W. P. (2014). The self-employment of men and women: What are their motivations? Journal of Labor Research, 35(2), 143–161. https://doi.org/10.1007/s12122-014-9176-6.

    Article  Google Scholar 

  3. Andersson Joona, P. (2014). Female self-employment and children: The case of Sweden (working paper no. 8486). IZA discussion papers. Retrieved July 11, 2019, from https://www.econstor.eu/handle/10419/ 103487.

  4. Boden, R. J. (1999). Gender inequality in wage earnings and female self-employment selection. The Journal of Socio-Economics, 28(3), 351–364. https://doi.org/10.1016/S1053-5357(99)00026-8.

    Article  Google Scholar 

  5. Bordone, V., Arpino, B., & Aassve, A. (2017). Patterns of grandparental child care across Europe: The role of the policy context and working mothers’ need. Ageing & Society, 37(4), 845–873. https://doi.org/10.1017/S0144686X1600009X.

    Article  Google Scholar 

  6. Budig, M. J. (2006). Gender, self-employment, and earnings: The interlocking structures of family and professional status. Gender and Society, 20(6), 725–753.

    Article  Google Scholar 

  7. Carr, D. (1996). Two paths to self-employment?: Women’s and men’s self-employment in the united states, 1980. Work and Occupations, 23(1), 26–53. https://doi.org/10.1177/0730888496023001003.

    Article  Google Scholar 

  8. Carroll, C. (2002). Portfolios of the rich (Chapter 10). In L. Guiso, M. Haliassos, & T. Jappelli (Eds.), Household portfolios (pp. 389–430). Cambridge: The MIT Press.

    Google Scholar 

  9. Charles, K. K., & Hurst, E. (2003). The correlation of wealth across generations. Journal of Political Economy, 111(6), 1155–1182.

    Article  Google Scholar 

  10. Ciolek, D. (2017). Oszacowanie wartosci produktu krajowego brutto w polskich powiatach. Gospodarka Narodowa, 3, 55–87.

    Article  Google Scholar 

  11. Connelly, R. (1992). Self-employment and providing child care. Demography, 29(1), 17–29.

    Article  Google Scholar 

  12. Cowling, M. (2000). Are entrepreneurs different across countries? Applied Economics Letters, 7, 785–789.

    Article  Google Scholar 

  13. Devine, T. J. (1994). Changes in wage-and-salary returns to skill and the recent rise in female self-employment. The American Economic Review, 84(2), 108–113.

    Google Scholar 

  14. Do, T. Q. T. & Duchene, G. (2008). Determinants of self-employment: The case in vietnam (Documents de travail du Centre d’Economie de la Sorbonne No. v08038). Universite Pantheon-Sorbonne (Paris 1), Centre d’Economie de la Sorbonne. Retrieved from http://ideas.repec.org/p/mse/cesdoc/v08038.html

  15. Gallie, D. (2007). Production regimes and the quality of employment in Europe. Annual Review of Sociology, 33, 85–104.

    Article  Google Scholar 

  16. Georgellis, Y., & Wall, H. (2005). Gender differences in self-employment. International Review of Applied Economics, 19(3), 321–342.

    Article  Google Scholar 

  17. Hessels, J., Rietveld, C. A., & van der Zwan, P. (2017). Self-employment and work-related stress: The mediating role of job control and job demand. Journal of Business Venturing, 32(2), 178–196. https://doi.org/10.1016/j.jbusvent.2016.10.007.

    Article  Google Scholar 

  18. Hurst, E., & Lusardi, A. (2004). Liquidity constraints, household wealth, and entrepreneurship. Journal of Political Economy, 112(2), 319–347.

    Article  Google Scholar 

  19. Iacovou, M., & Skew, A. J. (2011). Household composition across the new Europe: Where do the new member states fit in? Demographic Research, 25(14), 465–490. https://doi.org/10.4054/DemRes.2011.25.14.

    Article  Google Scholar 

  20. Junquera, B. (2011). Where does female entrepreneurial human capital come from? A review of the literature. Innovation, 13(3), 391–411. https://doi.org/10.5172/impp.2011.13.3.391.

    Article  Google Scholar 

  21. Knothe, M. A. & Lisowska, E. (1999). Women on the labour market: Negative changes and entrepreneurship opportunities as the consequences of transition. Center for the Advancement of Women.

  22. Kotowska, I. (1995). Discrimination against women in the labor market in Poland during the transition to a market economy. Social Politics: International Studies in Gender, State & Society, 2(1), 76–90. https://doi.org/10.1093/sp/2.1.76.

    Article  Google Scholar 

  23. Kotowska, I. (2007). Aktywnosc zawodowa i edukacyjna a obowiazki rodzinne w polsce (U. I. Woycicka I. Sztanderska, Ed.). Scholar.

  24. Krynska, E. (2007). Praca na wlasny rachunek - determinanty i implikacje (E. Krynska, Ed.). IPISS.

  25. LDB. (2019). Care of children statistics. Local Data Bank – Statistics Poland. Retrieved January 2019, from https://bdl.stat.gov.pl/BDL/dane/podgrup/temat.

  26. Lisowska, E. (1997). Polish women in the business world (E. Lisowska & E. Maslyk-Musia, Eds.). Maria Curie-Sklodowska University Press.

  27. Lisowska, E. (2001). Przedsiebiorczosc kobiet w polsce na tle krajow europy srodkowej i wschodniej. SGH.

  28. Mood, C. (2010). Logistic regression: Why we cannot do what we think we can do, and what we can do about it. European Sociological Review, 26(1), 67–82.

    Article  Google Scholar 

  29. Mroczkowski, T. (1997). Women as employees and entrepreneurs in the polish transformation. Industrial Relations Journal, 28(2), 83–91.

    Article  Google Scholar 

  30. OECD. (2019). OECD employment and labour market statistics. https://doi.org/10.1787/data-00286-en

  31. Parker, S. C. (2009). The economics of entrepreneurship. Cambridge: Cambridge Univesity Press.

    Book  Google Scholar 

  32. Rollnik-Sadowska, E. (2010). Przedsiebiorczosc kobiet w polsce. Difin.

  33. Saridakis, G., Marlow, S., & Storey, D. J. (2014). Do different factors explain male and female self-employment rates? Journal of Business Venturing, 29(3), 345–362. https://doi.org/10.1016/j.jbusvent.2013.04.004.

    Article  Google Scholar 

  34. Sarkar, S., Sahoo, S., & Klasen, S. (2019). Employment transitions of women in India: A panel analysis. World Development, 115(100), 291–309. https://doi.org/10.1016/j.worlddev.2018.1.

    Article  Google Scholar 

  35. Sena, V., Scott, J., & Roper, S. (2012). Gender, borrowing patterns and self-employment: Some evidence for England. Small Business Economics, 38(4), 467–480. https://doi.org/10.1007/s11187-010-9272-9.

    Article  Google Scholar 

  36. Siemienska, R. (1999). Women and men in elites: Cross national study. ISS Warszawa.

  37. Sierminska, E., Brandolini, A., & Smeeding, T. M. (2006). The luxembourg wealth study—A cross-country comparable database for household wealth research. The Journal of Economic Inequality, 4(3), 375–383. https://doi.org/10.1007/s10888-006-9030-z.

    Article  Google Scholar 

  38. Tervo, H., & Haapanen, M. (2010). The nature of self-employment: How does gender matter? International Journal of Entrepreneurship and Small Business, 9(3), 349–371.

    Article  Google Scholar 

  39. UNICEF. (1999). Women in transition. The MONEE Project, UNICEF.

  40. Velilla, J., Molina, J. A., & Ortega, R. (2018). Why older workers become entrepreneurs? International evidence using fuzzy set methods. The Journal of the Economics of Ageing, 12(100), 88–95. https://doi.org/10.1016/j.jeoa.2018.03.00.

    Article  Google Scholar 

  41. Verheul, I., Thurik, R., & Grilo, I. (2006). Determinants of self-employment preference and realization of women and men in europe and the united states (Scales Research Reports No. H200622). EIM Business and Policy Research. Retrieved from http://ideas.repec.org/ p/eim/papers/h200622.html

  42. Wennekers, S., van Stel, A., Carree, M. A., & Thurik, R. (2010). The relationship between entrepreneurship and economic development: Is it u-shaped? (Scales Research Reports No. H200824). EIM Business and Policy Research. Retrieved from http://econpapers.repec.org/RePEc:eim:papers:h200824

  43. Williams, D. R. (2000). Consequences of selfemployment for women and men in the United States. Labour Economics, 7(5), 665–687.

    Article  Google Scholar 

  44. WVS. (2019). World values survey online analysis. Retrieved January 2019, from http://www.worldvaluessurvey.org/WVSOnline.jsp.

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Correspondence to Eva Sierminska.

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Appendix

Appendix

Table 7 Sample sizes for moving from other states into self-employment over time for women and men
Table 8 The classification of work attributes according to the careerist and work-life balance theory
Table 9 Descriptive statistics of those moving into self-employment and comparison of means between women and men
Table 10 Determinants of transitioning into self-employment from reduced probit regression for women and men in non-professional occupations (marginal effects)
Table 11 Determinants of moving into self-employment from reduced probit regression for women and men aged 20 to 40 (marginal effects)
Table 12 Determinants of moving into self-employment from reduced probit regression for women and men (marginal effects, individual level cluster)
Table 13 Determinants of moving into self-employment from reduced probit regression for women and men (marginal effects, household level cluster)
Table 14 Respondents in the final sample by the number of observed transitions

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Buttler, D., Sierminska, E. Career or Flexible Work Arrangements? Gender Differences in Self-employment in a Young Market Economy. J Fam Econ Iss 41, 70–95 (2020). https://doi.org/10.1007/s10834-020-09668-x

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Keywords

  • Risk
  • Self-employment
  • Work conditions
  • Gender
  • Poland

JEL Classification

  • D31
  • G11
  • J61
  • J24