IDEAS home Printed from https://ideas.repec.org/a/vrs/stintr/v17y2016i4p749-762n4.html
   My bibliography  Save this article

M-Estimators in Business Statistics

Author

Listed:
  • Dehnel Grażyna

    (Poznan University of Economics, Department of Statistics, ; Poznan, ; Poland)

Abstract

Recent years have seen a dynamic development in statistical methods for analysing data contaminated with outliers. One of the more important techniques that can deal with outlying observations is robust regression, which represents four decades of research. Until recently the implementation of robust regression methods, such as M-estimation or MM-estimation, was limited owing to their iterative nature. With advances in computing power and the growing availability of statistical packages, such as R and SAS, Stata, the applicability of robust regression methods has increased considerably.The aim of the study is to evaluate one of these methods, namely M-estimation, using data from a survey of small and medium-sized businesses. The comparison involves nine M-estimators, each based on a different weighting function. The results and conclusions are formulated on the basis of empirical data from the DG-1 business survey.

Suggested Citation

  • Dehnel Grażyna, 2016. "M-Estimators in Business Statistics," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 749-762, December.
    • Handle: RePEc:vrs:stintr:v:17:y:2016:i:4:p:749-762:n:4
    DOI: 10.21307/stattrans-2016-050
    as

    Download full text from publisher

    File URL: https://doi.org/10.21307/stattrans-2016-050
    Download Restriction: no
    File URL: https://libkey.io/10.21307/stattrans-2016-050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vincenzo Verardi & Christophe Croux, 2009. "Robust regression in Stata," Stata Journal, StataCorp LP, vol. 9(3), pages 439-453, September.
    2. Ray C. Fair, 1974. "On the Robust Estimation of Econometric Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 667-677, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grażyna Dehnel, 2016. "M-Estimators In Business Statistics," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 749-762, December.
    2. Wang, Jianzhou & Xiong, Shenghua, 2014. "A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan wind farm of China," Energy, Elsevier, vol. 76(C), pages 526-541.
    3. Petrella, Ivan & Di Pace, Federico & Juvenal, Luciana, 2020. "Terms-of-Trade Shocks are Not all Alike," CEPR Discussion Papers 14594, C.E.P.R. Discussion Papers.
    4. Angela Cipollone & Paolo E. Giordani, 2012. "Animal Spirits in Entrepreneurial Innovation: Theory and Evidence," Working Papers CELEG 1201, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    5. Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
    6. Gregory Corcos & Massimo Del Gatto & Giordano Mion & Gianmarco I.P. Ottaviano, 2012. "Productivity and Firm Selection: Quantifying the ‘New’ Gains from Trade," Economic Journal, Royal Economic Society, vol. 122(561), pages 754-798, June.
    7. Song, Zisheng, 2021. "The capitalization of school quality in rents in the Beijing housing market: A propensity score method," Working Paper Series 21/7, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    8. Olivier Gergaud & Victor Ginsburgh & Florine Livat, 2012. "Success of Celebrities: Talent, Intelligence or Beauty?," Economics Bulletin, AccessEcon, vol. 32(4), pages 3120-3127.
    9. Sequeira, Tiago & Morão, Hugo, 2020. "Growth accounting and regressions: New approach and results," International Economics, Elsevier, vol. 162(C), pages 67-79.
    10. Christian Pfeifer & Joachim Wagner, 2014. "Age and gender effects of workforce composition on productivity and profits: Evidence from a new type of data for German enterprises," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(1), March.
    11. Luigi Moretti & Paola Valbonesi, 2012. "Subcontracting in Public Procurement: An Empirical Investigation," "Marco Fanno" Working Papers 0154, Dipartimento di Scienze Economiche "Marco Fanno".
    12. Appio, Francesco Paolo & Leone, Daniele & Platania, Federico & Schiavone, Francesco, 2020. "Why are rewards not delivered on time in rewards-based crowdfunding campaigns? An empirical exploration," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    13. Kohei Kubota, 2017. "Intergenerational Wealth Elasticity in Japan," The Japanese Economic Review, Japanese Economic Association, vol. 68(4), pages 470-496, December.
    14. Vincenzo Verardi & Joachim Wagner, 2021. "Productivity Premia for German Manufacturing Firms Exporting to the Euro-area and Beyond: First Evidence from Robust Fixed Effects Estimations," World Scientific Book Chapters, in: Joachim Wagner (ed.), MICROECONOMETRIC STUDIES OF FIRMS’ IMPORTS AND EXPORTS Advanced Methods of Analysis and Evidence from German Enterprises, chapter 7, pages 87-109, World Scientific Publishing Co. Pte. Ltd..
    15. Victor Ginsburgh & Olivier Gergaud & F. Livat, "undated". "Succes :Talent, Intelligence or Beauty?," ULB Institutional Repository 2013/151568, ULB -- Universite Libre de Bruxelles.
    16. Jan Ámos Víšek, 2015. "Estimating the Model with Fixed and Random Effects by a Robust Method," Methodology and Computing in Applied Probability, Springer, vol. 17(4), pages 999-1014, December.
    17. Neil Foster-McGregor & Anders Isaksson & Florian Kaulich, 2014. "Importing, exporting and performance in sub-Saharan African manufacturing firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 150(2), pages 309-336, May.
    18. Franco Peracchi, 1988. "Robust Estimators of Regression," UCLA Economics Working Papers 476, UCLA Department of Economics.
    19. Joachim Wagner, 2014. "Exports, foreign direct investments and productivity: are services firms different?," The Service Industries Journal, Taylor & Francis Journals, vol. 34(1), pages 24-37, January.
    20. Libman Alexander & Feld Lars P., 2013. "Strategic Tax Collection and Fiscal Decentralization: The Case of Russia," German Economic Review, De Gruyter, vol. 14(4), pages 449-482, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:stintr:v:17:y:2016:i:4:p:749-762:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.