Abstract
We combine macro and microeconomic perspectives in an agent-based endogenous growth model that uses individual satisfaction as a driver of human capital accumulation. The micro perspective is based on individual satisfaction: an utility function computed from the income variation in space (relative to others) and time. The macro perspective emerges from micro decisions that, at an aggregate level, determine an important social decision about the share of the working population engaged in producing ideas (i.e. skilled workers). Underlying our analysis is the Easterlin hypothesis (Easterlin, in: David, Melvin (eds) Nations and households in economic growth: essays in Honor of Moses Abramowitz, Academic Press, New York, 1974, J Econ Behav Organ 27(1):35–47, 1995) which states that individuals care much more about their relative income than about increases in their own income, weakening the link between growth and income. Simulations show that growth and satisfaction levels are higher when relative and absolute incomes are equally weighted in satisfaction computation and are lower when satisfaction only depends on relative incomes.
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Biondo et al. (2012) presents a ABM model with an expectation component in agent’s emigration decision that tends to disappear over time.
\(\beta (\rho )\) function is given by\(\beta =\frac{(1+\rho )^{9}-(1+\rho )^{8-\tau }}{1-(1+\rho )^{8-\tau }}\). \(\tau \) represents the number of years to the end of active life and was set to 48. We considered that skilled agents spend nine more years at school than unskilled agents. When the discount rate is higher, the future is less valued and therefore the skilled labour wage has to be higher for agents to become indifferent between acquiring skills through education and to remain unskilled. \(\beta (\rho )\) function is derived in the “Appendix”.
The field of dynamical systems or, more precisely, its contributions to the understanding of the interplay of local and global variables (see for, instance, Vilela Mendes 2001) informs that in some systems, the essential mechanism driving the overall dynamics of the system is the slow dynamics, whereas the fast dynamics operates only as a background which is selected by the slow evolution. Our results are in line with the consequences of the above described interplay between local and global interactions. When personal wellbeing depends exclusively on the influence of interpersonal comparisons, there is almost no clustering as the way the agents organize themselves in space (number of partitions) approaches the random (initial) situation. This is due to the fact that when the influence of interpersonal comparisons dominates, the slow dynamics depending on a rival good drives the set of agents to an unstable situation in what concerns their satisfaction-based education decision. In this setting, neither local clustering nor any structural organization happens to take place.
References
Araújo, T., & St. Aubyn, M. (2008). Education, neighborhood effects and growth: an agent-based model approach. Advances in Complex Systems, 11(1), 99–117.
Biondo, A., Pluchino, A., & Rapisarda, A. (2012). Return migration after brain drain: A simulation approach. ArXiv preprint arXiv:1206.4280
Blanchflower, D. G., & Oswald, A. (2004). Well-being over time in Britain and the USA. Journal of Public Economics, 88(7), 1359–1386.
Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., & Stiglitz, J. E. (2016). Agent based-stock flow consistent macroeconomics: Towards a benchmark model. Journal of Economic Dynamics and Control, 69, 375–408.
Camerer, C. F., Loewenstein, G., & Rabin, M. (Eds.). (2011). Advances in behavioral economics. Princeton: Princeton University Press.
Cingano, F. (2014). Trends in income inequality and its impact on economic growth. OECD Social, Employment and Migration Working Papers (p. 163).
Dawid, H., Gemkow, S., Harting, P., Van Der Hoog, S., & Neugart, M. (2014). Agent-based macroeconomic modeling and policy analysis: The Eurace@ Unibi model. Bielefeld Working Papers in Economics and Management.
Deaton, A. (2008). Income, health, and well-being around the world: Evidence from the Gallup World Poll. Journal of Economic Perspectives, 22(2), 53–72.
de Grauwe, P. (2010). Top-down versus bottom-up macroeconomics. CESifo Economic Studies, 56(4), 465–497.
di Tella, R., MacCulloch, R., & Oswald, A. (2003). The macroeconomics of happiness. Review of Economics and Statistics, 85(4), 809–827.
Easterlin, R. (1974). Does economic growth improve the human lot? Some empirical evidence. In P. A. David & M. W. Reder (Eds.), Nations and households in economic growth: Essays in Honor of Moses Abramowitz. New York: Academic Press.
Easterlin, R. (1995). Will raising the incomes of all increase the happiness of all? Journal of Economic Behavior and Organization, 27(1), 35–47.
Easterlin, R. (2001). Income and happiness: Towards a unified theory. The Economic Journal, 111(473), 465–484.
Farmer, J. D., & Foley, D. (2009). The economy needs agent-based modelling. Nature, 460(7256), 685–686.
Fehr, E., & Rangel, A. (2011). Neuroeconomic foundations of economic choice–Recent advances. The Journal of Economic Perspectives, 25, 3–30.
Ferrer-i-Carbonell, A. (2005). Income and well-being: An empirical analysis of the comparison income effect. Journal of Public Economics, 89(5), 997–1019.
Frey, B., & Stutzer, A. (2000). Happiness, economy and institutions. The Economic Journal, 110(466), 918–938.
Frey, B. S., Bruno, S., & Stutzer, A. (2002). What can economists learn from happiness research? Journal of Economic Literature, 40(2), 402–435.
Gatti, D. D., Desiderio, S., Gaffeo, E., Cirillo, P., & Gallegati, M. (2011). Macroeconomics from the bottom-up (Vol. 1). Berlin: Springer.
Jones, C. (2005). Growth and ideas. In P. Aghion & S. Durlauf (Eds.), Handbook of economic growth (Vol. 1B). Amsterdam: Elsevier Science.
Kahneman, D. (2003). Maps of bounded rationality: Psychology for behavioral economics. The American Economic Review, 93(5), 1449–1475.
Kahneman, D., et al. (2006). Would you be happier if you were richer? A focusing illusion. Science, 312(5782), 1908–1910.
Kirman, A. (2004). Economics and complexity. Advances in Complex Systems, 7(2), 139–155.
Layard, R., Mayraz, G., & Nickell, S. (2010). Does relative income matter? In E. Diener, J. Helliwell, & D. Kahneman (Eds.), International differences in well-being. Oxford: Oxford University Press.
Lebaron, B., & Tesfatsion, L. (2008). Modeling macroeconomies as open-ended dynamic systems of interacting agents. The American Economic Review, 98, 246–250.
Luttmer, E. (2004). Neighbors as negatives: Relative earnings and well-being. National Bureau of Economic Research, WP10667
Martins, T. V., Araújo, T., Santos, M. A., & St. Aubyn, M. (2009). Network effects in a human capital based economic growth model. Physica A: Statistical Mechanics and its Applications, 388(11), 2207–2214.
Ostry, J. D., Berg, A., & Tsangarides, C. G. (2014). Redistribution, inequality, and growth. IMF Staff Discussion Note
Oswald, A. (1997). Happiness and economic performance. The Economic Journal, 107(445), 1815–1831.
Riccetti, L., Russo, A., & Gallegati, M. (2015). An agent based decentralized matching macroeconomic model. Journal of Economic Interaction and Coordination, 10(2), 305–332.
Stevenson, B., & Wolfers, J. (2008). Economic growth and subjective well-being: Reassessing the Easterlin paradox. National Bureau of Economic Research, WP14282
Tesfatsion, L., & Judd, K. L. (Eds.). (2006). Handbook of computational economics agent-based computational economics. New York: Elsevier.
Vilela Mendes, R. (2001). Structure generating mechanisms in agent-based models. Physica A, 295, 537–561.
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Financial support from national funds by FCT (Fundação para a Ciência e a Tecnologia). This article is part of the Strategic Project: UID/ECO/00436/2013.
Appendix: \(\beta (\rho )\)
Appendix: \(\beta (\rho )\)
At the beginning of period t, an agent has perfect knowledge of period \(t-1\) wages, namely \(w_{t-1}^{S}\) and \(w_{t-1}^{U}\), the skilled and unskilled labour wage, respectively. Assume that agents take these values as the ones that will prevail in the future, and, for the sake of simplicity, denote them by \(w^{S}\) and \(w^{U}\). Suppose skilled agents spend nine more years at school than unskilled agents. For example, one can think they spend two more years at secondary school, four additional years to take a first degree, and finally three more years in some form of post-graduate studies. PVE, the present value of future wages for an agent that is starting his or her education to become skilled is then:
where \(\rho \) is a rate of time preference or discount rate, and \(\tau \) is the number of years to the end of active life, likely to be comprised between 45 and 50.
At the same time a future skilled agent starts his or her education, unskilled agents start working. With the hypothesis above, this means they work nine more years when compared to skilled workers. Let PVU be the present value of all wages earned by unskilled workers:
Comparing Eqs. (12) and (13), it is apparent that ws must be greater than wu for there to be any chance of PVE being greater than PVU. In this case, and from a pure income perspective, i.e., taking aside any subjective preference for education, the agent would chose to proceed into further education and not to remain unskilled. Let \(\beta \) be the ratio between \(w^{S}\) and \(w^{U}\) that makes the present value of skilled labour wages equal to the present value of unskilled labour wages:
From Eqs. (12), (13) and (14), it gives:
with \(A=1+(1+\rho )^{-1}+(1+\rho )^{-10}+\cdots +(1+\rho )^{\tau }\) e \(B=(1+\rho )^{-9}+(1+\rho )^{-10}+\cdots +(1+\rho )^{\tau }\). Is is easy to show that \(A=\frac{1+\rho -(1+\rho )^{-\tau }}{\rho }\) and that \(B=\frac{(1+\rho )^{9}-(1+\rho )^{8-\tau }}{1-(1+\rho )^{8-\tau }}\). Replacing A and B in expression (15) and simplifying, it gives:
Note that\(\beta \) approaches \((1+\rho )^{9})\) when \(\tau \) tends to infinity, and that \(\beta \) is an increasing function of \(\rho \). When the discount rate is higher, the future is less valued, and therefore the skilled labour wage has to be higher for agents to become indifferent between acquiring skills through education and to remain unskilled. In our simulations, we set \(\tau =48\).
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Silvestre, J., Araújo, T. & St. Aubyn, M. Individual Satisfaction and Economic Growth in an Agent-Based Economy. Comput Econ 54, 893–903 (2019). https://doi.org/10.1007/s10614-018-9855-0
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DOI: https://doi.org/10.1007/s10614-018-9855-0