An Inflation Expectations Horserace

43 Pages Posted: 14 Feb 2012 Last revised: 13 Jun 2012

Date Written: January 25, 2010

Abstract

For decades, the academic literature has focused on three survey measures of expected inflation: the Livingston Survey, the Survey of Professional Forecasters, and the Michigan Survey. While these measures have been useful in developing models of forecasting inflation, the data are low frequency measures which appear anachronistic in the modern era of high frequency and real-time data. I present a collection of 37 different measures of inflation expectations, including many previously unexploited monthly and real-time measures of inflation expectations. These higher frequency measures tend to outperform the standard three low frequency survey measures in tests of accuracy, predictive power, and rationality, indicating that there are benefits to using higher frequency measures of inflation expectations. Out of sample forecasts confirm the findings.

Keywords: Inflation, expectations, surveys, households, economists, rationality, efficiency, unbiasedness, forecast accuracy, out-of-sample forecasts, Granger Causality, high-frequency data, price level, money and prices, CPI, PPI, PCE

JEL Classification: A10, C10, C12, C13, C22, C40, C42, C50, C51, C52, C53, C82, D84, E00, E30, E31, E37, E40, E44, E58

Suggested Citation

Guzman, Giselle, An Inflation Expectations Horserace (January 25, 2010). Available at SSRN: https://ssrn.com/abstract=2003094 or http://dx.doi.org/10.2139/ssrn.2003094

Giselle Guzman (Contact Author)

Economic Alchemy LLC ( email )

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
94
Abstract Views
1,175
Rank
502,786
PlumX Metrics