Alfarano, Simone and Milakovic, Mishael (2010): Identification of Interaction Effects in Survey Expectations: A Cautionary Note.
Preview |
PDF
MPRA_paper_26002.pdf Download (338kB) | Preview |
Abstract
A growing body of literature reports evidence of social interaction effects in survey expectations. In this note, we argue that evidence in favor of social interaction effects should be treated with caution, or could even be spurious. Utilizing a parsimonious stochastic model of expectation formation and dynamics, we show that the existing sample sizes of survey expectations are about two orders of magnitude too small to reasonably distinguish between noise and interaction effects. Moreover, we argue that the problem is compounded by the fact that highly correlated responses among agents might not be caused by interaction eects at all, but instead by model-consistent beliefs. Ultimately, these results suggest that existing survey data cannot facilitate our understanding of the process of expectations formation.
Item Type: | MPRA Paper |
---|---|
Original Title: | Identification of Interaction Effects in Survey Expectations: A Cautionary Note |
Language: | English |
Keywords: | Survey expectations; model-consistent beliefs; social inter- action; networks. |
Subjects: | D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D84 - Expectations ; Speculations D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D85 - Network Formation and Analysis: Theory C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C83 - Survey Methods ; Sampling Methods |
Item ID: | 26002 |
Depositing User: | Simone Alfarano |
Date Deposited: | 23 Oct 2010 13:40 |
Last Modified: | 28 Sep 2019 16:36 |
References: | S. Alfarano and M. Milakovic. Network structure and N-dependence in agentbased herding models. Journal of Economic Dynamics and Control, 33: 78{92, 2009. S. Alfarano, T. Lux, and F. Wagner. Estimation of agent-based models: The case of an asymmetric herding model. Computational Economics, 26: 19{49, 2005. S. Alfarano, T. Lux, and F. Wagner. Time-variation of higher moments in a nancial market with heterogeneous agents: An analytical approach. Journal of Economic Dynamics and Control, 32:101{136, 2008. M. Aoki. New Approaches to Macroeconomic Modeling. Cambridge University Press, Cambridge, UK, 1998. M. Bowden and S. McDonald. The impact of interaction and social learning on aggregate expectations. Computational Economics, 31(3):289{306, 2008. 21 W. A. Brock and S. N. Durlauf. Discrete choice with social interactions. Review of Economic Studies, 68(2):235{60, 2001. C. D. Carroll. Macroeconomic expectations of households and professional forecasters. Quarterly Journal of Economics, 118(1):269{298, 2003. M. P. Clements. Explanations of the inconsistencies in survey respondents' forecasts. European Economic Review, 54(4):536{549, 2010. O. Coibion and Y. Gorodnichenko. What can survey forecasts tell us about informational rigidities? NBER Working Paper 14586, National Bureau of Economic Research, December 2008. M. Del Negro and S. Eusepi. Modeling observed in ation expectations. mimeo, Federal Reserve Bank of New York, 2009. G. Evans and S. Honkapohja. Learning and Expectations in Macroeconomics. Princeton University Press, Princeton, 2001. B. Flieth and J. Foster. Interactive expectations. Journal of Evolutionary Economics, 12(4):375{395, 2002. C. H. Hommes. The heterogeneous expectations hypothesis: Some evidence from the lab. mimeo, University of Amsterdam, Netherlands, 2010. A. Kirman. Epidemics of opinion and speculative bubbles in nancial markets. In M. P. Taylor, editor, Money and Financial Markets, pages 354{368. Blackwell, Cambridge, 1991. A. Kirman. Ants, rationality, and recruitment. Quarterly Journal of Eco- nomics, 108:137{156, 1993. M. Lines and F. Westerho. In ation expectations and macroeconomic dynamics: The case of rational versus extrapolative expectations. Journal of Economic Dynamics and Control, 34:246{257, 2010. T. Lux. Rational forecasts or social opinion dynamics? Identication of interaction eects in a business climate survey. Journal of Economic Behavior and Organization, 72(2):638{655, 2009. N. G. Mankiw and R. Reis. Sticky information versus sticky prices: A proposal to replace the New Keynesian Phillips curve. Quarterly Journal of Economics, 117(4):1295{1328, 2002. N. G. Mankiw, R. Reis, and J. Wolfers. Disagreement about in ation expectations. In NBER Macroeconomics Annual 2003, volume 18, pages 209{270, Cambridge, July 2004. MIT Press. F. Milani. Expectation shocks and learning as drivers of the business cycle. CEPR Discussion Paper 7743, Centre for Economic Policy Research, March 2010. M. Newman. The structure and function of complex networks. SIAM Review, 45:167{256, 2003. M. H. Pesaran and M. Weale. Survey expectations. In G. Elliott, C. Granger, and A. Timmermann, editors, Handbook of Economic Forecasting, volume 1, chapter 14, pages 715{776. Elsevier, 2006. C. A. Sims. Implications of rational inattention. Journal of Monetary Eco- nomics, 50(3):665{690, 2003. W. Weidlich. Sociodynamics: A Systemic Approach to Mathematical Mod- elling in the Social Sciences. Dover, New York, 2006. W.Weidlich and G. Haag. Concepts and Methods of a Quantitative Sociology. Springer, Berlin, 1983. M. Woodford. Imperfect common knowledge and the eects of monetary policy. In Knowledge, Information, and Expectations in Modern Macroeco- nomics: In Honor of Edmund S. Phelps, chapter 1, pages 25{58. Princeton University Press, Princeton, 2001. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/26002 |