Term Structure Estimation with Survey Data on Interest Rate Forecasts

Working Paper: CEPR ID: DP5341

Authors: Don H. Kim; Athanasios Orphanides

Abstract: The estimation of dynamic no-arbitrage term structure models with a flexible specification of the market price of risk is beset by a severe small-sample problem arising from the highly persistent nature of interest rates. We propose using survey forecasts of a short-term interest rate as an additional input to the estimation to overcome the problem. The three-factor pure-Gaussian model thus estimated with the U.S. Treasury term structure for the 1990-2003 period generates a stable estimate of the expected path of the short rate, reproduces the well-known stylized patterns in the expectations hypothesis tests, and captures some of the short-run variations in the survey forecast of the changes in longer-term interest rates.

Keywords: dynamic term structure models; expectations hypothesis; interest rate forecasts; survey data; term premia

JEL Codes: E43; E47; G12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
survey forecasts (G17)stability and precision of parameter estimates (C51)
survey forecasts (G17)reduction in bias and imprecision (C83)
survey data (C83)more reasonable forecasts of long-term interest rates (E47)
survey data (C83)effective proxies for rational expectations (D84)

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