IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v80y2003i2p255-259.html
   My bibliography  Save this article

The mean effect of structural change on the dependent variable is accurately measured by the intercept change alone

Author

Listed:
  • Higgins, Richard S.
  • Johnson, Paul A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Higgins, Richard S. & Johnson, Paul A., 2003. "The mean effect of structural change on the dependent variable is accurately measured by the intercept change alone," Economics Letters, Elsevier, vol. 80(2), pages 255-259, August.
    • Handle: RePEc:eee:ecolet:v:80:y:2003:i:2:p:255-259
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(03)00094-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Salkever, David S., 1976. "The use of dummy variables to compute predictions, prediction errors, and confidence intervals," Journal of Econometrics, Elsevier, vol. 4(4), pages 393-397, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Inderst, Roman & Milde, Christopher, 2019. "A Practical Review of Methods to Estimate Overcharges using Linear Regression," EconStor Preprints 253660, ZBW - Leibniz Information Centre for Economics.
    2. McCrary Justin & Rubinfeld Daniel L., 2014. "Measuring Benchmark Damages in Antitrust Litigation," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 63-74, January.
    3. White, Halbert, 2006. "Time-series estimation of the effects of natural experiments," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 527-566.
    4. James F. Nieberding, 2006. "Estimating overcharges in antitrust cases using a reduced-form approach: Methods and issues," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 361-380, November.
    5. Eksi, Ozan & Gurdal, Mehmet Y. & Orman, Cuneyt, 2017. "Fines versus prison for the issuance of bad checks: Evidence from a policy shift in Turkey," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 9-27.

    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. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    2. McCrary Justin & Rubinfeld Daniel L., 2014. "Measuring Benchmark Damages in Antitrust Litigation," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 63-74, January.
    3. Søren Johansen & David F. Hendry & Carlos Santos, 2007. "Selecting a Regression Saturated by Indicators," CREATES Research Papers 2007-36, Department of Economics and Business Economics, Aarhus University.
    4. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    5. Thirtle, C. & Bottomley, P., 1988. "Explaining Total Factor Productivity Change: Returns to R & D in U.K. Agricultural Research," Manchester Working Papers in Agricultural Economics 232809, University of Manchester, School of Economics, Agricultural Economics Department.
    6. M. D. Ugarte & A. F. Militino & T. Goicoa, 2008. "Adjusting economic estimates in business surveys," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(11), pages 1253-1265.
    7. Mitu Gulati & Ugo Panizza, 2020. "The Hausmann–Gorky Effect," Journal of Business Ethics, Springer, vol. 166(1), pages 175-195, September.
    8. Castle, Jennifer L. & Hendry, David F., 2014. "Model selection in under-specified equations facing breaks," Journal of Econometrics, Elsevier, vol. 178(P2), pages 286-293.
    9. Mohannad Alobid & Szucs Istvan, 2020. "The Syrian Crisis Impact on the Area and the Production: A Case Study of Vegetables Crop," International Review of Management and Marketing, Econjournals, vol. 10(2), pages 80-83.
    10. Verteramo Chiu, Leslie J. & Tomek, William G., 2016. "Anticipatory Signals of Changes in Corn Demand," Working Papers 250032, Cornell University, Department of Applied Economics and Management.
    11. Farai Jena & Barry Reilly, 2022. "Are spectator preferences weaker for cup compared to league competitions? Evidence from Irish soccer," Applied Economics Letters, Taylor & Francis Journals, vol. 29(9), pages 835-841, May.
    12. David E. Giles, 2022. "Some Consequences of Including Impulse-Indicator Dummy Variables in Econometric Models," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 329-336, June.
    13. Michael G. Kirby, 1981. "An Investigation of the Specification and Stability of the Australian Aggregate Wage Equation," The Economic Record, The Economic Society of Australia, vol. 57(1), pages 35-46, March.
    14. David F. Hendry & Felix Pretis, 2013. "Anthropogenic influences on atmospheric CO2," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 12, pages 287-326, Edward Elgar Publishing.
    15. Theodore Joyce & Andrew D. Racine & Naci Mocan, 1992. "The Consequences and Costs of Maternal Substance Abuse in New York City," NBER Working Papers 3987, National Bureau of Economic Research, Inc.
    16. Mohannad ALOBID & Naji ALFARAJ & Szűcs ISTVÁN, 2019. "The Impact Of The Crisis On The Area, Production, And Productivity Of Major Crops In Syrian Agriculture : A Case Study Of Wheat, Barley, And Cotton," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 21, pages 183-196, December.
    17. McKenzie, C. R., 1992. "Money demand in an open economy," Journal of the Japanese and International Economies, Elsevier, vol. 6(2), pages 176-198, June.
    18. Verteramo Chiu, Leslie J. & Tomek, William G., 2017. "Insights from Anticipatory Prices," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258115, Agricultural and Applied Economics Association.
    19. David E. Giles, 2017. "On the Inconsistency of Instrumental Variables Estimators for the Coefficients of Certain Dummy Variables," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(1), pages 15-26, March.
    20. Castle, Jennifer L. & Hendry, David F., 2009. "The long-run determinants of UK wages, 1860-2004," Journal of Macroeconomics, Elsevier, vol. 31(1), pages 5-28, March.

    More about this item

    Statistics

    Access and download statistics

    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:eee:ecolet:v:80:y:2003:i:2:p:255-259. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.