Re-Examining Confidence Intervals for Ratios of Parameters
Zaka Ratsimalahelo ()
Additional contact information
Zaka Ratsimalahelo: CRESE (UR 3190), Université Marie et Louis Pasteur, F-25000 Besançon, France
Econometrics, 2025, vol. 13, issue 3, 1-27
Abstract:
This paper considers the problem of constructing confidence intervals (CIs) for nonlinear functions of parameters, particularly ratios of parameters a common issue in econometrics and statistics. Classical CIs (such as the Delta method and the Fieller method) often fail in small samples due to biased parameter estimators and skewed distributions. We extended the Delta method using the Edgeworth expansion to correct for skewness due to estimated parameters having non-normal and asymmetric distributions. The resulting bias-corrected confidence intervals are easy to compute and have a good coverage probability that converges to the nominal level at a rate of O ( n − 1 / 2 ) where n is the sample size. We also propose bias-corrected estimators based on second-order Taylor expansions, aligning with the “almost unbiased ratio estimator” . We then correct the CIs according to the Delta method and the Edgeworth expansion. Thus, our new methods for constructing confidence intervals account for both the bias and the skewness of the distribution of the nonlinear functions of parameters. We conduct a simulation study to compare the confidence intervals of our new methods with the two classical methods. The methods evaluated include Fieller’s interval, Delta with and without the bias correction interval, and Edgeworth expansion with and without the bias correction interval. The results show that our new methods with bias correction generally have good performance in terms of controlling the coverage probabilities and average length intervals. They should be recommended for constructing confidence intervals for nonlinear functions of estimated parameters.
Keywords: ratio parameters; confidence intervals; bias; almost unbiased ratio estimator; edgeworth expansion; Cornish–Fisher expansion; Delta method; Fieller method; coverage probability (search for similar items in EconPapers)
JEL-codes: B23 C C00 C01 C1 C2 C3 C4 C5 C8 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2225-1146/13/3/37/pdf (application/pdf)
https://www.mdpi.com/2225-1146/13/3/37/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jecnmx:v:13:y:2025:i:3:p:37-:d:1754036
Access Statistics for this article
Econometrics is currently edited by Ms. Jasmine Liu
More articles in Econometrics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().