The Impacts of Gender Inequality on Macroeconomic Variables in The Framework of a DSGE Model

Document Type : Research Paper


1 Yazd University

2 Associate Professor, Department of Economics, Yazd University

3 Ph. D


Women, as half of the population of the society, play a decisive role in economic, political and social activities. So, in this paper, the effects of monetary, supply of female labor force and technology shocks on macroeconomic variables such as production, employment of women and men, total employment and gender inequality in the labor market are discussed, in the framework of a DSGE model. The results indicate that monetary and technology shocks increase production, employment of women and men, and total employment. These shocks increase men's employment more than women's, and as a result, gender inequality in the labor market increases. Supply of female labor force shock increases production, total employment and women's employment, and reduces men's employment, as a result, gender inequality in the labor market decreases. This study helps economic policymakers and planners to assess the impact of these shocks on economic variables, especially on the employment of men and women, and gender inequality in the labor market, and, by adopting appropriate policies, reduce the inefficiencies.


Main Subjects

  1. Afshari, Z., & Kakavand, S. (2016). The impact of gender inequality on economic growth in Iran (with emphasis on provincial panel data). Journal of Women's Studies, 14 (3), 7-33 (In Persian).
  2. Asadzadeh, A., Mirani, N., Ghazikhani, F., Esmail Derjani, N., & A., Honardost (2017). Investigating the role of women's employment and education on Iran's economic growth. Women in Development and Politics, 15 (3), 381-359 (In Persian).
  3. Baas, T. & Shamsfakhr, F. (2017). Times of crisis and female labor force participation - Lessons from the Spanish flu. In the Annual International Conference on Macroeconomic Analysis and International Finance. (pp. 1-98) Essen: Germany.
  4. Bahrami Nia, E., Abolhassani, A., & I., Ebrahimi (2018). New Keynesian sochastic dynamic general equilibrium model for Iran's housing economy. Economic Policy, 20 (10), 71- 102 (In Persian).
  5. Bazzazan, F., & Genavei, F. (2016). Sectional growth and its impact on gender income in Iran (social accounting matrix approach). Social Psychological Studies in Women, 14 (3), 115-136 (In Persian).
  6. Braunstein, E., & Heintz, J. (2006). Gender bias and central bank policy: employment and inflation reduction. International Review of Applied Economics22(2), 173-186.
  7. Calvo, G. (1983). Staggered prices in a utility-maximizing framework. Journal of Monetary Economics, 12(3), 383-398.
  8. Eastin, J., & Prakash, A. (2013). Economic development and gender equality: Is there a gender Kuznets curve. World Politics65(1), 156-186.
  9. Esfandiari, M., Dehmardeh, N., & H., Kavand (2014). Dual market within the framework of a dynamic stochastic general equilibrium model. Quarterly Journal of Economic Research, 4(1), 238-217 (In Persian).
  10. Hoover, K. D. (1995). Facts and artefacts: Calibration and the empirical assessment of real business cycle models. Oxford Economic Papers, 47(1), 24-44.
  11. Jafari Samimi, A., Tavakolian, H., & M., Hajikarami (2017). Monetary policy evaluation in exchange rate shock terms: The MDSGE Approach. Journal of Iran's Applied Economic Studies, 23 (6), 1-34 (In Persian).
  12. Javan, M., Afshari, Z., & H., Tavakolian (2017). The effect of labor market disruptions on macroeconomic dynamics in the context of a new Keynesian model. Journal of Business Research, 84, 265-229 (In Persian).
  13. Kazandjian, R., Kolovich, L., Kochhar, K., & Newiak, M. (2019). Gender equality and economic diversification. Social Sciences, I8 (4), 1-24.
  14. Khera, P. (2016). Macroeconomic impacts of gender inequality and informality in India. International Monetary Fund, 10(5089), WP/16/16, 1-65.
  15. Klasen, S. & Lamanna, F. (2009). The Impact of gender inequality in education and employment on economic growth: New evidence for a panel of countries. Feminist Economics, 15(3), 91-132.
  16. Panahi, H., Salmani, B., & S. A., Aleemran (2016). The impact of gender inequality in education on Iran's economic growth. Economic Sociology and Development, 5 (1), 43-61 (In Persian).
  17. Partovi, B., Amini, S., & A., Goodarzi (2010). The effect of gender inequality on economic growth in Iran. Economic Modeling, 3 (9), 51-76 (In Persian).
  18. Rahmani, T., & Kaveh, S. (2015). Is gender discrimination a deterrent to economic growth? Economic Research, 50 (3), 616-593 (In Persian).
  19. Razmi, S. M. J., & Kavosi, S. (2014). Investigating the relationship between economic development and gender inequality in Iran's provinces. Regional Economics and Development, 21, 99-121 (In Persian).
  20. Renani, M., Arbabian, S., & M., Mirzaei (2011). Understanding the structure of women's employment in the informal sector of the country. Economic Research of Thought Way, 1 (1), 36-62 (In Persian).
  21. Rotemberg, J. (1982). Monopolistic price adjustment and aggregate output. Review of Economic Studies, 49, 517–531.
  22. Sabaghi, S., Zamani, S., Delazimi, F., Ebrahimi, Z., Yazdan Talab, M., Sadeghi, F., & Z., Qarazi (2018). Statistical excerpts, spring 2018. Tehran: Ministry of Cooperative, Labor and Social Welfare, (In Persian).
  23. Seguino, S. & Braunstein, E. (2019). The costs of exclusion: gender job segregation, structural change and the labour share of income. Development and Change, 50(4), 976-1008.
  24. Stotsky, J. G. M., & Zaman, A. (2016). The influence of gender budgeting in Indian states on gender inequality and fiscal spending. International Monetary Fund, 18(17), WP/16/227, 1-44.
  25. Tavakolian, H. (2012). Investigating the New Philips Keynesian curve in a dynamic stochastic general equilibrium model for Iran. Economic Research, 47 (3), 22-1 (In Persian).
  26. Tavakolian, H., & Sarem, M. (2017). DSGE patterns in dynare software (modeling, solving and estimation based on Iran's economy). Tehran: Monetary and Banking Research Institute, (In Persian).
  27. Uhlig, H. (1999). A toolkit for analyzing nonlinear dynamic stochastic models easily, computational methods for the study of dynamic economies. Oxford: Oxford University press: 30-61.