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New Solution to Time Series Inference in Spurious Regression Problems

Hrishikesh D. Vinod

Fordham University - Department of Economics

February 26, 2010

Phillips (1986) provides asymptotic theory for regressions that relate nonstationary time series including those integrated of order 1, I(1). A practical implication of related literature on spurious regression is that one cannot trust the usual confidence intervals. Therefore it is recommended that after carrying out unit root tests we work with differenced series instead of original data in levels. We propose a new alternative of using confidence intervals based on Maximum Entropy bootstrap explained in Vinod and Lopez-de-Lacalle (2009, J of Statistical Software). Extensive Monte Carlo simulations show that our proposal can provide more reliable conservative confidence intervals than traditional, differencing and block bootstrap (BB) intervals. We hope to let researchers avoid differencing the variables and work with their original specifications in levels.

Number of Pages in PDF File: 36

Keywords: bootstrap, simulation, confidence intervals

JEL Classification: C12, C15, C22, C51

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Date posted: March 7, 2010 ; Last revised: June 28, 2010

Suggested Citation

Vinod, Hrishikesh D., New Solution to Time Series Inference in Spurious Regression Problems (February 26, 2010). Available at SSRN: https://ssrn.com/abstract=1560074 or http://dx.doi.org/10.2139/ssrn.1560074

Contact Information

Hrishikesh D. Vinod (Contact Author)
Fordham University - Department of Economics ( email )
Dealy Hall
Bronx, NY 10458
United States
718-817-4065 (Phone)
718-817-3518 (Fax)
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