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A History of the Delta Method and Some New Results

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Abstract

Use of the delta method in statistics and econometrics is ubiquitous. Its mention can be found in almost all advanced statistics and econometrics textbooks but mostly without any reference. It appears that nobody knows for certain when the first paper on the topic was published or how the idea was first conceived. A seemingly unrelated method to find the asymptotic variance of a statistic involving one or more nuisance parameters was given by Pierce (Ann. Stat 10, 475–478 1982). In the first part of the paper a comprehensive review of the delta method is presented with the objective of unearthing its history. In the second part a comparative analytic study of the delta method with the Pierce method is presented.

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  1. Charles Spearman (1863-1945) was a British Psychologist known for his contributions in statistics, mostly for his rank correlation coefficient called Spearman’s rank correlation coefficient.

    Karl J. Holzinger (1892-1954) was an American educational psychologist known for his work in factor analysis and in psychometrics, such as, developing models for human intelligence and cognitive test scores.

  2. Joe Doob (1910-2004) was an American mathematician specialising in stochastic processes. He served as a professor at the Department of Mathematics in University of Illinois at Urbana Champaign from 1935 until his retirement in 1978. He is most popularly known for Doob martingale.

  3. Robert Dorfman (1916-2002) was an American professor of political economy who made great contributions to the field of economics and statistics. He is more popularly known for his 1958 book Linear Programming and Economic Analysis with Paul A. Samuelson and Robert M. Solow.

  4. Sewall Green Wright(1889-1988) was an American geneticist who is popularly known for his work on evolutionary theory and path analysis.

  5. Since readers rarely have an access to the inner workings of academic research and its eventual publication, it will not be out of place to recount that story here how Professor Jay M. Ver Hoef found a copy of Dorfman (1938). Ver Hoef first learnt about the delta method as a graduate student at the Iowa State University (ISU) in the late 1980’s from Professor William Q. Meeker, who directed him to Dorfman’s paper on the delta method in the obscure journal Biometric Bulletin. In the ISU library, Ver Hoef found all four volumes of the journal, and he carried his copy of Dorfman’s paper for years with him until he realized Dorfman was almost never cited, so he wrote a manuscript crediting Dorfman. Possibly given the confident title “Who Invented the Delta Method” of Ver Hoef (2012), the then editor of the American Statistician, Professor Ronald Christensen warned him about the possibility of earlier references of the delta method. Sure enough, soon after its publication, Professor Stephen Portnoy of the University of Illinois at Urbana-Champaign (UIUC) wrote his comment, Portnoy and Ver Hoef (2012), pointing out the contribution of Doob (1935).

  6. In his response to Portnoy and Ver Hoef (2012), Ver Hoef (2013) also made this connection between Doob and Dorfman via Harold Hoteling. Ver Hoef conjectured that Hoteling might be the common thread between Doob and Dorfman, providing the relevant literature to both of them.

  7. This seems to be a characteristic of Cramér’s book which contains many original results. For instance, Cramér (1946, p. 480) states and proves some of the most important results in statistics, such as the Cramér-Rao lower bound (CRLB). Most interestingly as we will briefly discuss in Section 2.6, there is a connection between the delta method and the CRLB.

References

  • Aït-Sahalia, Y. (1994). The Delta Method for Nonparametric Kernel Functionals. Graduate School of Business, University of Chicago.

  • Bera, A.K., Doğan, O. and Gŭloğlu, B. (2021). The Delta Method and Estimating Equation Approach for Determining the Asymptotic Distributions of Test Statistics. In Research and Evaluations in Social. Administrative and Educational Sciences. IKSAD Publishing House.

  • Bera, A.K., Doğan, O. and Taşpınar, S. (2021). Asymptotic variance of test statistics in the ML and QML frameworks. Journal of Statistical Theory and Practice 15, 1–26.

    Article  MathSciNet  MATH  Google Scholar 

  • Beutner, E. and Zähle, H. (2010). A modified functional delta method and its application to the estimation of risk functionals. J. Multivar. Anal. 101, 2452–2463.

    Article  MathSciNet  MATH  Google Scholar 

  • Bishop, Y., Fienberg, S. and Holland, P. (1975). Discrete Multivariate Analysis: Theory and Practice. Massachusetts Institute of Technology Press, Massachusetts.

    MATH  Google Scholar 

  • Casella, G. and Berger, R. (2002). Statistical Inference. Cengage Learning, Boston.

    MATH  Google Scholar 

  • Cotes, R. (1722). Harmonia Mensurarum. Robert Smith.

  • Cox, D.R. (1961). Tests of separate families of hypotheses. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability 1, 105–123.

    MATH  Google Scholar 

  • Cox, D.R. (1962). Further results on tests of separate families of hypotheses. J. Roy. Stat. Soc.: Ser. B (Methodol.) 24, 406–424.

    MathSciNet  MATH  Google Scholar 

  • Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press, Princeton.

    MATH  Google Scholar 

  • Cupidon, J., Gilliam, D., Eubank, R., Ruymgaart, F. et al. (2007). The Delta Method for Analytic Functions of Random Operators with Application to Functional Data. Bernoulli Society for Mathematical Statistics and Probability.

  • Davison, A.C. (2003). Statistical Models. Cambridge University Press, Cambridge.

    Book  MATH  Google Scholar 

  • Doob, J.L. (1935). The limiting distributions of certain statistics. Ann. Math. Stat. 6, 160–169.

    Article  MATH  Google Scholar 

  • Dorfman, R. (1938). A Note on the δ-method for Finding Variance Formulae. The Biometric Bulletin 1, 129–137.

    Google Scholar 

  • Durbin, J. (1970). Testing for serial correlation in least-squares regression when some of the regressors are lagged dependent variables. Econometrica 38, 410–421.

    Article  MathSciNet  Google Scholar 

  • Gauss, C.F. (1995). Theoria Combinationis Observationum Erroribus Minimis Obnoxia. SIAM, Gottingen, Stewart, G. W. (ed.) Translated as Theory of the Combination of Observations Least Subject to Errors.

    Google Scholar 

  • Gorroochurn, P. (2016). Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times. Wiley, New York.

    Book  MATH  Google Scholar 

  • Gorroochurn, P. (2020). Who invented the delta method, really? The Mathematical Intelligencer 42, 46–49.

    Article  MathSciNet  MATH  Google Scholar 

  • Hong, H. and Li, J. (2018). The numerical delta method. J. Econ.206, 379–394.

    Article  MathSciNet  MATH  Google Scholar 

  • Kelley, T. (1928). Crossroads in the Mind of Man: A Study of Differentiable Mental Abilities. Stanford University Press, Redwood.

    Book  Google Scholar 

  • Kendall, M. and Stuart, A. (1977). The Advanced Theory of Statistics: Distribution theory, Volume 1. Macmillan.

  • Kenny, D.A. (1974). A test for a vanishing tetrad: The second canonical correlation equals zero. Soc. Sci. Res. 3, 83–87.

    Article  Google Scholar 

  • La Caille, N.L D. (1741). Calcul des différences dans la trigonométrie sphérique. Mém. Acad. Roy. des Sci 238–260.

  • Lehmann, E. (1999). Elements of Large-Sample Theory. Springer Texts in Statistics, Berlin.

    Book  MATH  Google Scholar 

  • Newey, W.K. and McFadden, D. (1994). Large sample estimation and hypothesis testing. Handb. Econ. 4, 2111–2245.

    MathSciNet  Google Scholar 

  • Neyman, J. (1959). Optimal Asymptotic Tests of Composite Statistical Hypotheses. Wiley, New York, Grenander, U. and Neyman, J. (eds.), p. 213–234.

    MATH  Google Scholar 

  • Oehlert, G.W. (1992). A note on the delta method. Am. Stat. 46, 27–29.

    MathSciNet  Google Scholar 

  • Pearson, K. and Filon, L.N.G. (1898). VII. Mathematical Contributions To the Theory of evolution.—IV. On the Probable Errors of Frequency Constants and on the Influence of Random Selection on Variation and Correlation. Philosophical Transactions of the Royal Society of London. Series A Containing Papers of a Mathematical or Physical Character 229–311.

  • Pierce, D.A. (1982). The asymptotic effect of substituting estimators for parameters in certain types of statistics. Ann. Stat. 10, 475–478.

    Article  MathSciNet  MATH  Google Scholar 

  • Portnoy, S. and Ver Hoef, J.M. (2012). Who Invented the Delta Method, Vol. 66. Comment by S. Portnoy and Reply. The American Statistician, 67, 190.

  • Rao, C. (1973). Linear Statistical Inference and its Applications. Wiley Series in Probability and Statistics.

  • Römisch, W. (2005). Delta method, Infinite Dimensional. Encyclopedia of Statistical Sciences 3, 1575–1583.

    Google Scholar 

  • Spearman, C. (1904a). Measurement of association, part II. Correction of Systematic deviations. Am. J. Psychol. 15, 88.

    Google Scholar 

  • Spearman, C. (1904b). The proof and measurement of association between two things. Am. J. Psychol. 15, 72–101.

    Article  Google Scholar 

  • Spearman, C. (1922). Correlation between arrays in a table of correlations. Proceedings of the royal society of london. Series A Containing Papers of a Mathematical and Physical Character 101, 94–100.

    Google Scholar 

  • Spearman, C. and Holzinger, K. (1924). The sampling error in the theory of two factors. Br. J. Psychol. 15, 17–19.

    Google Scholar 

  • Student (1908). The probable error of a mean. Biometrika 6, 1–25.

    Article  MATH  Google Scholar 

  • Vella, F. and Verbeek, M. (1999). Two-step Estimation of Panel Data models with Censored Endogenous Variables and Selection Bias. J. Econ. 90, 239–263.

    Article  MATH  Google Scholar 

  • Ver Hoef, J.M. (2012). Who Invented the Delta Method? Am. Stat.66, 124–127.

    Article  MathSciNet  MATH  Google Scholar 

  • Ver Hoef, J.M. (2013). Reply. Am. Stat. 67, 190.

    MATH  Google Scholar 

  • Williams, R.H., Zimmerman, D.W., Zumbo, B.D. and Ross, D. (2003). Charles Spearman: British behavioral scientist. Human Nature Review 3, 114–118.

    Google Scholar 

  • Wright, S. (1934). The method of path coefficients. Ann. Math. Stat.5, 161–215.

    Article  MATH  Google Scholar 

Download references

Acknowledgments

We are most grateful to Professor Jay M. Ver Hoef for providing us an electronic copy of Dorfman (1938) which is not available online and giving many pertinent comments and suggestions that helped us in revising the paper. Thanks are also due to an anonymous referee for pointing out mistakes in the earlier version of the paper and suggesting several improvements. We are very thankful to Professor Stephen Portnoy for his interest in our work and useful suggestions. An earlier version of the paper was presented at the Department of Statistics, University of Illinois at Urbana-Champaign (UIUC). We would like to thank the participants of the seminar for their enthusiastic reception of our work and pertinent comments. Thanks are also due to Professors Eun Yi Chung, Osman Doğan and Subrata Kundu for helpful comments. However, we are solely responsible for any remaining shortcomings.

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Correspondence to Malabika Koley.

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Osip Mandelstam (1891-1938), Russian poet and essayist. “One cannot launch a new history- the idea is altogether unthinkable; there would not be the continuity and tradition. Tradition cannot be contrived or learned. In its absence one has, at the best, not history but “progress”- the mechanical movement of a clock hand, not the sacred succession of interlinked events.”

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Bera, A.K., Koley, M. A History of the Delta Method and Some New Results. Sankhya B 85, 272–306 (2023). https://doi.org/10.1007/s13571-023-00305-9

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