Volume 26, Issue 4 (Winter 2022)                   JPBUD 2022, 26(4): 65-91 | Back to browse issues page


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Noori A H, Sarlak A, Rahmati M H. (2022). Optimal Government Budget Allocation According to Aggregate Welfare using Generalized Method of Moments. JPBUD. 26(4), 65-91. doi:10.52547/jpbud.26.4.65
URL: http://jpbud.ir/article-1-2070-en.html
1- Faculty of Management, Department of Economics, Economic Development, Islamic Azad University, Arak Branch, Markazi Province, Iran.
2- Faculty of Management, Arak Branch of Azad University, Markazi Province, Iran , a-sarlak@iau-arak.ac.ir
3- Faculty of Management and Economics, Sharif University of Technology, Tehran, Iran
Abstract:   (1637 Views)
How should the government budget be allocated to public education, higher education, health, transportation, IT, energy, or indirect public services including expenses on laws and regulations, business governance, and tax reforms. We examine data between 1989 and 2019 of public spending and their outcomes for each affair and title. The results show that despite that number of students declined over time, the spending on public education has been raised. The structural model is estimated by generalized method of moments, and the estimates show that households put significant weights on education and health, as well as energy. However, even with considerable weights on these public goods, due to inefficient production of public services, the counterfactuals illustrate that more spending on tax reform, business environment, and governance relative to actual budget is optimal.
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Type of Study: Research | Subject: public economics
Received: Dec 23 2021 | Accepted: Feb 14 2022 | ePublished: May 23 2022

References
1. Baker, K. R. (1974). Introduction to Sequencing and Scheduling: John Wiley & Sons.
2. Baker, N., & Freeland, J. (1975). Recent Advances in R&D Benefit Measurement and Project Selection Methods. Management Science, 21(10), 1164-1175. [DOI:10.1287/mnsc.21.10.1164]
3. Bellani, L., & Scervini, F. (2020). Heterogeneity in Preferences for Redistribution and Public Spending: A Cross-Country Analysis. European Journal of Political Economy, 63(1), 101890. [DOI:10.1016/j.ejpoleco.2020.101890]
4. Gee, R. E. (1971). A Survey of Current Project Selection Practices. Research Management, 14(5), 38-45. [DOI:10.1080/00345334.1971.11756084]
5. Ghasemy, M. R., arbabian, S., Moeeni, S., & Salimi, B. (2015). Analysis of the Distribution Assets Acquisition of Capital Budget in State of Iran (1379-1390). The Journal of Planning and Budgeting, 20(1), 37-66. [http://jpbud.ir/article-1-1078-fa.html]
6. Hansen, L. P., & Singleton, K. J. (1982). Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models. Econometrica: Journal of the Econometric Society, 50(5), 1269-1286. [DOI:10.2307/1911873]
7. Kerr, G. N., Cullen, R., & Hughey, K. F. (2003). Environmental Budget Allocation: Public Preferences. Commerce Division, Discussion Paper No. 98.
8. Khorramshahgol, R., & Steiner, H. M. (1988). Resource Analysis in Project Evaluation: A Multicriteria Approach. Journal of the Operational Research Society, 39(9), 795-803. [DOI:10.1057/jors.1988.139]
9. Klomp, J. (2020). Subsidizing Power. Scottish Journal of Political Economy, 67(3), 300-321. [DOI:10.1111/sjpe.12235]
10. McFadden, D. (1975). The Revealed Preferences of a Government Bureaucracy: Theory. The Bell Journal of Economics, 6(2), 401-416. [DOI:10.2307/3003236]
11. Mouter, N. (2021). Willingness to Allocate Public Budget and Participatory Value Evaluation. In Advances in Transport Policy and Planning (Vol. 7, pp. 83-102): Elsevier. [DOI:10.1016/bs.atpp.2021.01.001]
12. Potrafke, N. (2011). Does Government Ideology Influence Budget Composition? Empirical Evidence from OECD Countries. Economics of Governance, 12(2), 101-134. [DOI:10.1007/s10101-010-0092-9]
13. Suh, C.-K., Suh, E.-H., & Baek, K.-C. (1994). Prioritizing Telecommunications Technologies for Long-Range R&D Planning to the Year 2006. IEEE Transactions on Engineering Management, 41(3), 264-275. [DOI:10.1109/17.310141]
14. Taylor III, B. W., Moore, L. J., & Clayton, E. R. (1982). R&D Project Selection and Manpower Allocation with Integer Nonlinear Goal Programming. Management Science, 28(10), 1149-1158. [DOI:10.1287/mnsc.28.10.1149]
15. Tingley, K. M., & Liebman, J. S. (1984). A Goal Programming Example in Public Health Resource Allocation. Management Science, 30(3), 279-289. [DOI:10.1287/mnsc.30.3.279]
16. Winkofsky, E., Mason, R., & Souder, W. (1980). R&D Budgeting and Project Selection: A Review of Practices and Models. In (pp. 183-197): Amsterdam: North-Holland.
17. Zahedi, F. (1986). The Analytic Hierarchy Process-A Survey of the Method and Its Applications. Interfaces, 16(4), 96-108. [DOI:10.1287/inte.16.4.96]

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