Nonstationary Discrete Choice: A Corrigendum and Addendum
54 Pages Posted: 11 Jun 2005
Date Written: May 2005
Abstract
We correct the limit theory presented in an earlier paper by Hu and Phillips (Journal of Econometrics, 2004) for nonstationary time series discrete choice models with multiple choices and thresholds. The new limit theory shows that, in contrast to the binary choice model with nonstationary regressors and a zero threshold where there are dual rates of convergence (n1/4 and n3/4), all parameters including the thresholds converge at the rate n3/4. The presence of non-zero thresholds therefore materially affects rates of convergence. Dual rates of convergence reappear when stationary variables are present in the system. Some simulation evidence is provided, showing how the magnitude of the thresholds affects finite sample performance. A new finding is that predicted probabilities and marginal effect estimates have finite sample distributions that manifest a pile-up, or increasing density, towards the limits of the domain of definition.
Keywords: Brownian motion, Brownian local time, Discrete choices, Integrated processes, Pile-up problem, Threshold parameters.
JEL Classification: C23, C25
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Dynamics of the Federal Funds Target Rate: A Nonstationary Discrete Choice Approach
By Ling Hu and Peter C. B. Phillips
-
By Ling Hu and Peter C. B. Phillips
-
Maximum Score Estimation of a Nonstationary Binary Choice Model
-
Dynamic Limited Dependent Variable Modeling and US Monetary Policy
-
Recovering Market Expectations of FOMC Rate Changes With Options on Federal Funds Futures
By John B. Carlson, Ben R. Craig, ...
-
Probability Elicitation, Scoring Rules, and Competition Among Forecasters
-
Forecast Combination for Discrete Choice Models: Predicting FOMC Monetary Policy Decisions
-
A Study of a Semiparametric Binary Choice Model with Integrated Covariates