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Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited

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  • Kajal Lahiri
  • Yongchen Zhao

Abstract

We propose a generalized ordered response model that nests the popular Carlson-Parkin (CP) method to quantify household in flation expectations while explicitly control for cross-sectional heterogeneity in the threshold parameters and the variance. By matching qualitative and quantitative data from 1979 to 2012 from the University of Michigan's Survey of Consumers, we find evidence against the threshold constancy, symmetry, and homogeneity assumptions of the CP method. We show that the quantified expectations produced by the generalized model outperform those produced by the CP method, most notably during the 2008 recession period. We also show that when an rolling-window identification scheme is employed instead of the unbiasedness assumption over the entire sample, quantified expectations are significantly better in terms of predictive accuracy when compared with the quantitative expect ations reported in the survey.

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Paper provided by University at Albany, SUNY, Department of Economics in its series Discussion Papers with number 13-08.

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Date of creation: 2013
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Handle: RePEc:nya:albaec:13-08

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Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A.
Phone: (518) 442-4735
Fax: (518) 442-4736

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Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A.
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  24. McAleer, M. & Smith, J., 1990. "Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing," Papers 219, Australian National University - Department of Economics.
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