Analysis of Life Insurance and Social Welfare Demand in Iran; Case Study of Parsian Insurance Company

Document Type : RESEARCH PAPER

Authors

1 Assistant Professor, Department of Economics, Bu Ali Sina University, Hamadan , Iran

2 , Graduate of Economics, Bu Ali Sina University, Hamadan, Iran

Abstract

Expanding life insurance prevents class gaps and poverty. The expansion of life insurance is closely related to the level of economic and social well-being in each country. For the purpose, in this study, the combined method of data panel was used. The method of estimating the model is based on a combination of time series data (from 1397 to 1393) and cross-sectional data of all provinces of Iran. Since our focus is on finding the relationship between welfare variables and insurance demand, educational welfare variables have been used to measure educational welfare and the per capita income variable as a physical welfare variable and the income inequality variable as a social welfare variable. Findings showed that the coefficients of variables of physical level and educational level of welfare were both positive and significant, but the coefficients of social level of welfare were negative and non-significant. There is also a significant and negative relationship between insurance rates and demand for life insurance. Management and policy recommendations of this research emphasize on controlling interest and insurance rates due to their effective relationship with life insurance demand. Since the results of the research confirm the existence of an effective relationship between interest and insurance rates with the life insurance demand, so controlling these rates while maintaining their favorable effects can lead to supporting life insurance and thus increase social welfare in society. The government can also increase the level of education and training of people in the community by supporting the public and university education sectors. This measure, according to the results of the research will increase the life insurance demand and increase social welfare. Therefore, paying attention to education and policies to control interest and life insurance rates can lead to an overall improvement in the welfare of society.

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Main Subjects


Afshari.Z (2020). Interbank Market Failure and the Effects of the Basel III Regulations in a DSGE Model for Iran. Iranian Journal of Economic Studies, 8 (1), 163-183.
Bernanke, B. S. Gertler, M. & Gilchrist, S. (1999).The financial accelerator in a quantitative business cycle framework. Handbook of macroeconomics, 1, 1341-1393.
Baz Mohammadi, H., & Hussein. (2000). Money supply in the Iranian economy. Quarterly Journal of Planning and Budgeting, 5 (3), 69-96.
Basu, S. Gottschalk, J. Schule, Werner, S. Vellodi, N. and Yang, S. (2013). The Macroeconomic Effects of Natural Resource Extraction: Applications to Papua New Guinea. International Monetary Fund, No.13-138.
Behn, M., Daminato, C., &Salleo, C. (2019). A dynamic model of bank behaviour under multiple regulatory constraints.‏
Carrera, C., & Vega, H. (2012). Interbank market and macroprudential tools in a DSGE model (No. 2012-014). Banco Central de Reserva del Perú.‏
Corrado, L., & Schuler, T. (2017). Interbank market failure and macro-prudential policies. Journal of Financial Stability, 33, 133-149.‏‏
Central Bank of the Islamic Republic. Economic report and balance sheet. Operation of the Central Bank of the Islamic Republic of Iran. Balance sheet and profit and loss statement of the Central Bank of the Islamic Republic of Iran.
De Walque, Gregory de; Prirard, Olivier&Rouabah, Abdelaziz, (2010). Financial (in) stability, supervision and liquidity injections: a dynamoc general equlibrium approach‖. The Economic Journal, 120, 1234-1261.
Dargahi, H. &Hadian, M. (2016). Comparison of the effects of monetary shocks due to increasing coefficient and monetary base in the Iranian economy. Journal of Economics, 17 (67), 189-219.
Goodfriend, M. &McCallum, B. T. (2007). Banking and interest rates in monetary policy analysis: a quantitative exploration. Journal of Monetary Economics, 54(5), 1480-1507.
Giri, F. (2018). Does interbank market matter for business cycle fluctuation? An estimated DSGE model with financial frictions for the euro area. Economic Modeling, 1-13.
Gersbach, H., & Faure, S. (2020). On the Money Creation Approach to Banking.‏
Ifionu, E., &Akinpelumi, O. F. (2015). Macroeconomic variables and money supply: Evidence from Nigeria. African Research Review, 9(4), 288-307.
Hloušek, M. (2013). DSGE model with housing sector: application to the Czech economy. In Proceedings of 31th International Conference Mathematical Methods in Economics (pp. 261-266).‏
Iacoviello, M. (2005). House prices, borrowing constraints, and monetary policy in the business cycle. American Economic Review, 95(3), 739-764.
Komijani, Abrishami, Hamid, & Rouhani. (2018). The nature of the bank and the process of creating bank money; Critique of common views and implications. Bi-Quarterly Journal of Economic Research, 15 (29), 9-38.
Levine, R., &Zervos, S. (1998). Stock markets, banks, and economic growth. American Economic Review, 537-558.‏
Lang, G., &Schröder, M. (2013). Do we need a separate banking system? An assessment. Center for European Economic Research. Discussion Paper No. 13-011.‏
Miri, Ashraf Sadat &Baghestani, Massoud, (2016), Optimal Banking System in Conventional Banking and Non-Usury Banking, The First International Conference on Islamic Banking and Financing.
Mohebbi, S., Sam, Shahrestani, Hamid, HojbarKiani, &Kambiz. (2017). Financial shocks and the role of monetary policy in the Iranian economy, assuming the existence of an interbank market in a DSGE model. Journal of Economic Research and Policy, 25 (81), 123-153.
Nazarpour, Mohammad Naghi, Haghighi, Meysam. (1392). The role of the central bank in the implementation of monetary policy through the interbank market. Islamic Economics, 13 (49), 59-84.
NiliFarhad, ShahcheraMahshid, & Taheri Mandana. (2015). Investigating the determination of liquidity creation and the role of banks' financial intermediation in Iran.
Rafiei, Soraya, Emami, Karim, & Ghaffari. (2019). The Impact of Monetary Policy on the Performance of Banks Using Stochastic Dynamic General Equilibrium Model (DSGE. Economic Research, 19 (72), 1-36.
Parvin, Shakeri, Abbas, Ahmadian, & Azam. (2014). Assessing the effects of monetary policy balances in the country's banking network on key variables of the Iranian economy (random dynamic equilibrium general approach). Iranian Economic Research, 19 (58), 77-115.
Pirahmadi, Marzieh, Afshari, Zahra, Sarem, Mehdi. (2018). Bank Interbank Market Failure and the Effect of Wing 3 Regulations on a DSGE Model in Iran. Iranian Journal of Economic Studies, 8 (1), 163-183.
RafieiQaraShiran, Soraya, Emami, Karim, & Ghaffari. (2019). Identifying the factors affecting monetary policy on the banking system. Journal of Economic Modeling, 13 (46), 1-24.
Shah Hosseini, Bahrami, & Javid. (2013). Designing a New Keynesian Stochastic Dynamic General Equilibrium Model for the Iranian Economy Considering the Banking Sector. Iranian Economic Research, 17 (53), 55-83.
Samsami Hossein, DavoodiParviz, &JahaniGurwanJalal.(2014). Costs of creating money in conventional banking system and Islamic financing strategy.
Schuler, T., &Corrado, L. (2016). Interbank market failure and macroprudential policies. Journal of Financial Stability, 1-52.
ShahbaziGhiasi, M., &Sarvarian, H. (2016). Pathology of the banking system Patterns and theoretical foundations of the relationship between the bank and the firm and its analysis in the Iranian banking system.
Tavaklian, Hussein and Sarem, Mehdi. (2017). DSGE patterns in Dynare software (modeling, solving and estimation based on Iranian economy). Tehran: Monetary and Banking Research Institute.