- استادزاد، علی‌حسین؛ و بهپور، سجاد، (1393). «رویکردی نوین در محاسبه سری زمانی سرمایه در ایران: روش الگوریتم بازگشتی با استفاده از الگوریتم ژنتیک (۱۳۳۸-۱۳۸۹)». تحقیقات مدلسازی اقتصادی، ۵ (۱۸): ۱۴۱-۱۷۸. DOR:
20.1001.1.22286454.1393.5.18.2.8
- اسلاملوئیان، کریم؛ و استادزاد، علی‌حسین، (1395). «برآورد تابع تولید مناسب برای ایران با وجود نهاده انرژی و تحقیق و توسعه: روش الگوریتم ژنتیک».
پژوهش‌های اقتصادی (رشد و توسعه پایدار)، ۱۶ (۱) :۲۱-۴۸. DOR:
20.1001.1.17356768.1395.16.1.1.4
- Anufriev, M.; Radi, D. & Tramontana, F., (2018). “Some reflections on past and future of nonlinear dynamics in economics and finance”. Decisions in Economics and Finance, 41: 91-118. DOI: https://doi.org/10.1007/s10203-018-0229-9
- Anzoategui, D. et al., (2019). “Endogenous technology adoption and R&D as sources of business cycle persistence”. American Economic Journal: Macroeconomics 11(3): 67-110. DOI: https://doi.org/10.1257/mac.20170269
- Barro, R. J. & Becker, G. S., (1989). “Fertility choice in a model of economic growth”. Econometrica: journal of the Econometric Society, 57(2): 481-501. DOI: https://doi.org/10.2307/1912563
- Bloom, D. E. et al., (2010). “Implications of population ageing for economic growth”. Oxford Review of Economic Policy, 26(4): 583-612. DOI: https://doi.org/10.1093/oxrep/grq038
- Bloom, D. E. et al., (2010). “Population aging and economic growth”. Globalization and Growth, 297.
- Bloom, D. E. et al., (2011). “Population aging: facts, challenges, and responses”. Benefits and compensation International, 41(1): 22. https://core.ac.uk/download/pdf/6494803.pdf
- Bloom, D. et al., (2008). Population Aging and Economic Growth. The World Bank.
- Boucekkine, R. et al., (2013). “Spatial dynamics and convergence: The spatial AK model”. Journal of Economic Theory, 148(6): 2719-2736. DOI: https://doi.org/10.1016/j.jet.2013.09.013
- Boucekkine, R. et al., (2014). “Egalitarianism under population change: age structure does matter”. Journal of Mathematical Economics, 55: 86-100. DOI: https://doi.org/10.1016/j.jmateco.2014.10.007
- Boucekkine, R.; Fabbri, G.; Federico, S. & Gozzi, F., (2017). “Growth and Agglomeration in the Heterogeneous Space: A Generalized AK Approach”. halshs-01399995v2. https://shs.hal.science/halshs-01399995v2
- Coccia, M., (2014). “Driving forces of technological change: the relation between population growth and technological innovation: analysis of the optimal interaction across countries”. Technological Forecasting and Social Change, 82: 52-65. DOI: https://doi.org/10.1016/j.techfore.2013.06.001
- Dasgupta, P., (2005). “Regarding Optimum Population”. Journal of Political Philosophy, 13(4): 414-442. https://www.econ.cam.ac.uk/people-files/emeritus/pd10000/publications/07/RegOptPop.pdf
- Dupuy, A., (2006). “Hicks neutral technical change revisited: CES production function and information of general order”.
Topics in macroeconomics, 6(2). DOI:
https://doi.org/10.2202/1534-5998.1339
- Eslamloueyan, K. & Ostadzad, A. H., (2016). “Estimating a Production Function for Iran with Emphasis on Energy and Expenditure on Research and Development: An Application of Genetic Algorithm Method”. QJER, 16 (1): 21-48. DOR:
20.1001.1.17356768.1395.16.1.1.4 (In Persian).
- Ferrara, M. & Guerrini, L., (2009). “The Ramsey model with logistic population growth and Benthamite felicity function”. WSEAS International Conference, Proceedings. Recent Advances in Computer Engineering, WSEAS.
- Greaves, H., (2019). "Climate change and optimum population". The Monist, 102(1): 42-65. DOI: https://doi.org/10.1093/monist/ony021
- Hughes, J. et al., (2005). “Review of the radiation exposure of the UK population”
. Journal of Radiological Protection, 25(4): p. 493. DOI: https://doi.org/
10.1088/0952-4746/25/4/010
- Jiao, J. et al., (2017). “Maximum likelihood estimation of functionals of discrete distributions”. IEEE Transactions on Information Theory, 63(10): 6774-6798. DOI: https://doi.org/10.1109/TIT.2017.2733537
- Kelley, A. C., (1988). “Economic consequences of population change in the Third World”. Journal of Economic Literature, 26(4): 1685-1728. https://www.jstor.org/stable/2726858
- Klump, R. et al., (2007). “Factor substitution and factor-augmenting technical progress in the United States: a normalized supply-side system approach”. The Review of Economics and Statistics, 89(1): 183-192. DOI: https://doi.org/10.1162/rest.89.1.183
- León-Ledesma, M. A. & Satchi, M., (2019). “Appropriate technology and balanced growth". The Review of Economic Studies, 86(2): 807-835. DOI: https://doi.org/10.1093/restud/rdy002
- Lianos, T. P. & Pseiridis A., (2016). "Sustainable welfare and optimum population size". Environment, development and sustainability, 18(6): 1679-1699. DOI: https://doi.org/10.1007/s10668-015-9711-5
- Lianos, T. P., (2018). “Steady state economy at optimal population size". The journal of population and sustainability, 3(1), 75-99. DOI: https://doi.org/10.3197/jps.2018.3.1.75
- Nerlove, M. et al., (1984). “Bequests and the size of population when population is endogenous”. Journal of Political Economy, 92 (3): 527-531. DOI: https://doi.org/10.1086/261240
- Nerlove, M. et al., (1985). “Population size: individual choice and social optima”. The Quarterly Journal of Economics, 100(2): 321-334. DOI: https://doi.org/10.2307/1885384
- Nerlove, M. et al., (2014). Household and economy: Welfare economics of endogenous fertility, Academic Press.
- Ostadzad, A. H. & Behpour, S., (2014). “A New Approach to Calculate the Time Series of Capital Stock for Iranian Economy: The Recursive Algorithm Method Using Genetic Algorithms (1959-2011).
Jemr, 5 (18): 141-178. DOR:
20.1001.1.22286454.1393.5.18.2.8 (In Persian).
- Palivos, T. & Yip, C. K., (1993). “Optimal population size and endogenous growth”. Economics Letters, 41(1): 107-110. DOI: https://doi.org/10.1016/0165-1765(93)90120-2
- Prettner, K., (2013). “Population aging and endogenous economic growth”. J Popul Econ, 26(2): 811-834. DOI: https://doi.org/10.1007/s00148-012-0441-9
- Razin, A. & Sadka, E., (1995). Population economics. Mit Press.
- Roshan, R., (2019). “Separation and Computation of Relative Risk Aversion and Elasticity of Inter Temporal Substitution: Recursive Preferences and Dynamic Programming Approach”.
Economic Modeling, 13(45): 159-182.
https://eco.firuzkuh.iau.ir/article_666200.html?lang=en (In Persian).
- Ruelle, D., (2018). Can nonlinear dynamics help economists? The economy as an evolving complex system. CRC Press: 194-204.
- Simon, J. L., (2019). The economics of population growth. Princeton university press.
- Stroud, J. R. et al., (2017). “Bayesian and maximum likelihood estimation for Gaussian processes on an incomplete lattice”. Journal of computational and Graphical Statistics, 26(1): 108-120. DOI: https://doi.org/10.1080/10618600.2016.1152970
- Vîlcu, A.-D. & Vîlcu, G.-E., (2017). “A survey on the geometry of production models in economics”. Arab Journal of Mathematical Sciences, 23(1): 18-31. DOI: https://doi.org/10.1016/j.ajmsc.2016.08.003
)