Gomes, Orlando (2007): Consumer confidence, endogenous growth and endogenous cycles.
Preview |
PDF
MPRA_paper_2883.pdf Download (375kB) | Preview |
Abstract
Endogenous growth models are generally designed to address long term trends of growth. They explain how the economy converges to or diverges from a balanced growth path and they characterize aggregate behaviour given the optimization problem faced by a representative agent that maximizes consumption utility. In such frameworks, only potential output matters and all decisions, by firms and households, are taken assuming that any output gap does not interfere with the agents’ behaviour. In this paper, we develop growth models (without and with optimization) that depart from the conventional framework in the sense that consumption decisions take into account output fluctuations. Households will raise their propensity to consume in periods of expansion and they will lower it in phases of recession. Such a framework allows to introduce nonlinear features into the model, making it feasible to obtain, for reasonable parameter values, endogenous fluctuations. These are triggered by a Neimark-Sacker bifurcation.
Item Type: | MPRA Paper |
---|---|
Institution: | Escola Superior de Comunicação Social - Instituto Politécnico de Lisboa |
Original Title: | Consumer confidence, endogenous growth and endogenous cycles |
Language: | English |
Keywords: | Endogenous growth; Endogenous business cycles; Nonlinear dynamics; Neimark-Sacker bifurcation |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O41 - One, Two, and Multisector Growth Models E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles |
Item ID: | 2883 |
Depositing User: | Orlando Gomes |
Date Deposited: | 24 Apr 2007 |
Last Modified: | 02 Oct 2019 04:20 |
References: | Alligood, K. T.; T. D. Sauer and J. A. Yorke (1997). Chaos – an Introduction to Dynamical Systems. New York: Springer-Verlag. Aloi, M.; H. D. Dixon and T. Lloyd-Braga (2000). “Endogenous Fluctuations in an Open Economy with Increasing Returns to Scale”, Journal of Economic Dynamics and Control, vol. 24, pp. 97-125. Asada, T. and W. Semmler (1995). “Growth and Finance: an Intertemporal Model.” Journal of Macroeconomics, vol. 17, pp. 623-649. Benhabib, J. and R. H. Day (1981). “Rational Choice and Erratic Behaviour.” Review of Economic Studies, vol. 48, pp. 459-471. Boldrin, M. and L. Montrucchio (1986). “On the Indeterminacy of Capital Accumulation Paths.”, Journal of Economic Theory, vol. 40, pp. 26-39. Bram, J. and S. Ludvigson (1998). “Does Consumer Confidence Forecast Household Expenditure? A Sentiment Index Horse Race.” Federal Reserve Bank of New York Economic Policy Review, vol. 4, pp. 59-79. Brock, W. A. and C. H. Hommes (1997). “A Rational Route to Randomness.” Econometrica, vol. 65, pp.1059-1095. Brock, W. A. and C. H. Hommes (1998). “Heterogeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model.” Journal of Economic Dynamics and Control, vol. 22, pp. 1235-1274. Cazavillan, G.; T. Lloyd-Braga and P. Pintus (1998). “Multiple Steady-States and Endogenous Fluctuations with Increasing Returns to Scale in Production.” Journal of Economic Theory, vol. 80, pp. 60-107. Cazavillan, G. and P. Pintus (2004). “Robustness of Multiple Equilibria in OLG Economies.” Review of Economic Dynamics, vol. 7, pp. 456-475. Cellarier, L. (2006). “Constant Gain Learning and Business Cycles.” Journal of Macroeconomics, vol. 28, pp. 51-85. Chiarella, C.; R. Dieci and L. Gardini (2002). “Speculative Behaviour and Complex Asset Price Dynamics: a Global Analysis.” Journal of Economic Behaviour and Organization, vol. 49, pp. 173-197. Chiarella, C. and X.-Z. He (2003). “Heterogeneous Beliefs, Risk and Learning in a Simple Asset Pricing Model with a Market Maker.” Macroeconomic Dynamics, vol. 7, pp. 503-536. Christiano, L. and S. Harrison (1999). “Chaos, Sunspots and Automatic Stabilizers.” Journal of Monetary Economics, vol. 44, pp. 3-31. Croushore, D. (2005). “Do Consumer-Confidence Indexes Help Forecast Consumer Spending in Real Time?” The North American Journal of Economics and Finance, vol. 16, pp. 435-450. Coury, T. and Y. Wen (2005). “Global Indeterminacy and Chaos in Standard RBC Models.” University of Oxford and Cornell University working paper. Day, R. H. (1982). “Irregular Growth Cycles.” American Economic Review, vol. 72, pp.406-414. De Grauwe, P. and M. Grimaldi (2005). “Heterogeneity of Agents, Transactions Costs and the Exchange Rate.” Journal of Economic Dynamics and Control, vol. 29, pp. 691-719. Deneckere, R. and S. Pelikan (1986). “Competitive Chaos.” Journal of Economic Theory, vol. 40, pp. 13-25. Dion, D. P. (2006). “Does Consumer Confidence Forecast Household Spending? The Euro Area Case.” MPRA Paper, University Library of Munich, Germany. Dosi, G.; G. Fagiolo and A. Roventini (2006). “An Evolutionary Model of Endogenous Business Cycles.” Computational Economics, vol. 27, pp. 3-34. Elaydi, S. (2000). Discrete Chaos. Boca Raton, FL: Chapman & Hall / CRC Press. Gaunersdorfer, A. (2000). “Endogenous Fluctuations in a Simple Asset Pricing Model with Heterogeneous Agents.” Journal of Economic Dynamics and Control, vol. 24, pp. 799-831. Goenka, A. and O. Poulsen (2004). “Factor Intensity Reversal and Ergodic Chaos.” Working paper 04-13, Aarhus School of Business, Department of Economics. Goeree, J. K. and C. H. Hommes (2000). “Heterogeneous Beliefs and the Non-linear Cobweb Model. Complex Nonlinear Dynamics and Computational Methods.” Journal of Economic Dynamics and Control, vol. 24, pp. 761-798. Goh, K. L. (2003). “Does Consumer Confidence Forecast Consumption Expenditure in New Zealand?” Treasury Working Paper Series 03/22, New Zealand Treasury. Grandmont, J. M. (1985). “On Endogenous Competitive Business Cycles.” Econometrica, vol. 53, pp. 995-1045. Guo, J. T. and K. J. Lansing (2002). “Fiscal Policy, Increasing Returns and Endogenous Fluctuations.” Macroeconomic Dynamics, vol. 6, pp. 633-664. Hommes, C. H.; J. Sonnemans; J. Tuinstra and H. van de Velden (2005). “A Strategy Experiment in Dynamic Asset Pricing.” Journal of Economic Dynamics and Control, vol. 29, pp. 823-843. Huang, W. (2005). “On the Statistical Dynamics of Economics.” Journal of Economic Behavior and Organization, vol. 56, pp. 543-565. Huang, W. and R. H. Day (2001). “On the Statistical Properties of Ergodic Economic Systems.” Discrete Dynamics in Nature and Society, vol. 6, pp. 181-189. Li, T. and J. Yorke (1975). “Period Three Implies Chaos.” American Mathematical Monthly, vol. 82, pp. 985-992. Lloyd-Braga, T.; C. Nourry and A. Venditti (2006). “Indeterminacy in Dynamic Models: When Diamond Meets Ramsey.” Journal of Economic Theory, forthcoming. Lorenz, H.-W. (1997). Nonlinear Dynamical Economics and Chaotic Motion, 2nd edition, Berlin and New York: Springer-Verlag. Lux, T. and M. Marchesi (2000). “Volatility Clustering in Financial Markets: a Micro-Simulation of Interacting Agents.” International Journal of Theoretical and Applied Finance, vol. 3, pp. 675-702. Manfredi, P. and L. Fanti (2004). “Cycles in Dynamic Economic Modelling.” Economic Modelling, vol. 21, pp. 573-594. McNabb, B. and K. Taylor (2002). “Business Cycles and the Role of Confidence: Evidence from Europe.” Discussion Papers in Economics nº 02/3, University of Leicester. Medio, A. and M. Lines (2001). Nonlinear Dynamics: a Primer. Cambridge, UK: Cambridge University Press. Mitra, T.; K. Nishimura and G. Sorger (2005). “Optimal Cycles and Chaos.” Cornell University, Kyoto University and University of Vienna working paper. Nishimura, K.; G. Sorger and M. Yano (1994). “Ergodic Chaos in Optimal Growth Models with Low Discount Rates.” Economic Theory, vol. 4, pp. 705-717. Nishimura, K. and M. Yano (1994). “Optimal Chaos, Nonlinearity and Feasibility Conditions.” Economic Theory, vol. 4, pp. 689-704. Nishimura, K. and M. Yano (1995). “Nonlinear Dynamics and Chaos in Optimal Growth: an Example.” Econometrica, vol. 63, pp. 981-1001. Onozaki, T.; G. Sieg and M. Yokoo (2000). “Complex Dynamics in a Cobweb Model with Adaptive Productive Adjustment.” Journal of Economic Behavior and Organization, vol. 41, pp. 101-115. Onozaki, T.; G. Sieg and M. Yokoo (2003). “Stability, Chaos and Multiple Attractors: a Single Agent Makes a Difference.” Journal of Economic Dynamics and Control, vol. 27, pp. 1917-1938. Sarkovskii, A. N. (1964). “Coexistence of Cycles of a Continuous Map of a Line Into Itself.” Ukranichkii Matematicheskii Zhurnal, vol. 16, pp. 61-71. Schmitt-Grohé, S. (2000). “Endogenous Business Cycles and the Dynamics of Output, Hours, and Consumption.” American Economic Review, vol. 90, pp. 1136-1159. Semmler, W. (1994). Business Cycles: Theory and Empirical Methods. Dordrecht: Kluwer. Souleles, N. S. (2004). “Expectations, Heterogeneous Forecast Errors, and Consumption: Micro Evidence from the Michigan Consumer Sentiment Surveys.” Journal of Money, Credit and Banking, vol. 36, pp. 39-72. Stutzer, M. J. (1980). “Chaotic Dynamics and Bifurcations in a Macro-Model.” Journal of Economic Dynamics and Control, vol. 2, pp. 353-376. Westerhoff, F. H. (2004). “Multiasset Market Dynamics.” Macroeconomic Dynamics, vol. 8, pp. 596-616. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/2883 |