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Units of measurement and the inverse hyperbolic sine transformation

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  • Ghislain B D Aihounton
  • Arne Henningsen

Abstract

SummaryThe inverse hyperbolic sine (IHS) transformation is frequently applied in econometric studies to transform right-skewed variables that include zero or negative values. We show that regression results can heavily depend on the units of measurement of IHS-transformed variables. Hence, arbitrary choices regarding the units of measurement for these variables can have a considerable effect on recommendations for policies or business decisions. In order to address this problem, we suggest a procedure for choosing units of measurement for IHS-transformed variables. A Monte Carlo simulation assesses this procedure under various scenarios, and an empirical illustration shows the relevance and applicability of our suggested procedure.

Suggested Citation

  • Ghislain B D Aihounton & Arne Henningsen, 2021. "Units of measurement and the inverse hyperbolic sine transformation," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 334-351.
  • Handle: RePEc:oup:emjrnl:v:24:y:2021:i:2:p:334-351.
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    1. Christopher D. Carroll & Karen E. Dynan & Spencer D. Krane, 2003. "Unemployment Risk and Precautionary Wealth: Evidence from Households' Balance Sheets," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 586-604, August.
    2. Ravallion, Martin, 2017. "A concave log-like transformation allowing non-positive values," Economics Letters, Elsevier, vol. 161(C), pages 130-132.
    3. Yapo Genevier N’guessan & Allen Featherstone & Oluwarotimi Odeh & Sreedhar Upendram, 2017. "Choice of the empirical definition of zero in the translog multiproduct cost functional form," Applied Economics Letters, Taylor & Francis Journals, vol. 24(15), pages 1112-1120, September.
    4. Pence Karen M., 2006. "The Role of Wealth Transformations: An Application to Estimating the Effect of Tax Incentives on Saving," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-26.
    5. Marc F. Bellemare & Christopher B. Barrett & David R. Just, 2013. "The Welfare Impacts of Commodity Price Volatility: Evidence from Rural Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(4), pages 877-899.
    6. Dany Bahar & Hillel Rapoport, 2018. "Migration, Knowledge Diffusion and the Comparative Advantage of Nations," Economic Journal, Royal Economic Society, vol. 128(612), pages 273-305, July.
    7. Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LLC, number fpsaus, January.
    8. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    9. Robert J. LaLonde, 1984. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," Working Papers 563, Princeton University, Department of Economics, Industrial Relations Section..
    10. Carboni, Oliviero A., 2012. "An empirical investigation of the determinants of R&D cooperation: An application of the inverse hyperbolic sine transformation," Research in Economics, Elsevier, vol. 66(2), pages 131-141.
    11. Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
    12. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
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    More about this item

    Keywords

    regression analysis; inverse hyperbolic sine; arcsinh; unit of measurement; zero values; scale factor;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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