IDEAS home Printed from https://ideas.repec.org/p/fip/fedgif/70.html
   My bibliography  Save this paper

Estimation of a dynamic demand function for gasoline with different schemes of parameter variation

Author

Listed:
  • J. S. Mehta
  • G. V. L. Narasimham
  • P. A. V. B. Swamy

Abstract

No abstract is available for this item.

Suggested Citation

  • J. S. Mehta & G. V. L. Narasimham & P. A. V. B. Swamy, 1975. "Estimation of a dynamic demand function for gasoline with different schemes of parameter variation," International Finance Discussion Papers 70, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgif:70
    as

    Download full text from publisher

    File URL: http://www.federalreserve.gov/pubs/ifdp/1975/70/ifdp70.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zellner, Arnold & Palm, Franz, 1974. "Time series analysis and simultaneous equation econometric models," Journal of Econometrics, Elsevier, vol. 2(1), pages 17-54, May.
    2. Fuller, Wayne A. & Battese, George E., 1974. "Estimation of linear models with crossed-error structure," Journal of Econometrics, Elsevier, vol. 2(1), pages 67-78, May.
    3. Pollak, Robert A & Wachter, Michael L, 1975. "The Relevance of the Household Production Function and Its Implications for the Allocation of Time," Journal of Political Economy, University of Chicago Press, vol. 83(2), pages 255-277, April.
    4. Ramsey, J B & Rasche, R & Allen, Bruce T, 1975. "An Analysis of the Private and Commercial Demand for Gasoline," The Review of Economics and Statistics, MIT Press, vol. 57(4), pages 502-507, November.
    5. Durbin, J, 1970. "Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables," Econometrica, Econometric Society, vol. 38(3), pages 410-421, May.
    6. Maddala, G S, 1971. "The Likelihood Approach to Pooling Cross-Section and Time-Series Data," Econometrica, Econometric Society, vol. 39(6), pages 939-953, November.
    7. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-358, March.
    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. Rachel A. Rosenfeld & Franã‡Ois Nielsen, 1984. "Inequality and Careers," Sociological Methods & Research, , vol. 12(3), pages 279-321, February.
    2. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118, March.
    3. Thomas von Brasch & Diana‐Cristina Iancu & Terje Skjerpen, 2020. "Productivity Dispersion and Measurement Error," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 985-996, December.
    4. Hans H. Bauer & Marc Fischer, 2001. "Ein Ansatz zur simultanen Messung von Kannibalisierungs-, substitutiven Konkurrenz- und Neukäufereffekten am Beispiel von line extensions," Schmalenbach Journal of Business Research, Springer, vol. 53(5), pages 455-477, August.
    5. Walker A. Pollard, 1983. "Presidential Elections: Cyclical and Distributional Economic Effects," Public Finance Review, , vol. 11(2), pages 217-236, April.
    6. Marius C. O. Amba, 2021. "Simultaneous Equations with Three Way Error Components," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 583-596, September.
    7. W. A. Donnelly, 1982. "The Regional Demand for Petrol in Australia," The Economic Record, The Economic Society of Australia, vol. 58(4), pages 317-327, December.
    8. Laura Magazzini & Giorgio Calzolari, 2010. "Negative variance estimates in panel data models," Working Papers 15/2010, University of Verona, Department of Economics.
    9. Nir Kshetri & Ralf Bebenroth, 2011. "Sources of Global Heterogeneity in Retail Spending," Discussion Paper Series DP2011-03, Research Institute for Economics & Business Administration, Kobe University.
    10. Sukesh K. Ghosh, 1976. "Estimating from a More General Time-Series Cum Cross-Section Data Structure," The American Economist, Sage Publications, vol. 20(1), pages 15-21, March.
    11. repec:wyi:journl:002087 is not listed on IDEAS
    12. Jonsson, Robert, 2003. "On the problem of optimal inference for time heterogeneous data with error components regression structure," Working Papers in Economics 110, University of Gothenburg, Department of Economics.
    13. Diewert, Erwin & FOX, Kevin J. & Paul Schreyer, 2017. "The Allocation and Valuation of Time," Microeconomics.ca working papers erwin_diewert-2017-5, Vancouver School of Economics, revised 04 May 2017.
    14. Mishkin, Frederic S, 1982. "Does Anticipated Monetary Policy Matter? An Econometric Investigation," Journal of Political Economy, University of Chicago Press, vol. 90(1), pages 22-51, February.
    15. Silvio R. Rendon, 2013. "Fixed and Random Effects in Classical and Bayesian Regression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 460-476, June.
    16. Rangan Gupta & Alain Kabundi & Stephen Miller & Josine Uwilingiye, 2014. "Using large data sets to forecast sectoral employment," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(2), pages 229-264, June.
    17. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    18. Park, Cheolsung & Kang, Changhui, 2008. "Does education induce healthy lifestyle?," Journal of Health Economics, Elsevier, vol. 27(6), pages 1516-1531, December.
    19. Tarp, Finn & Simler, Kenneth & Matusse, Cristina & Heltberg, Rasmus & Dava, Gabriel, 2002. "The Robustness of Poverty Profiles Reconsidered," Economic Development and Cultural Change, University of Chicago Press, vol. 51(1), pages 77-108, October.
    20. Cubadda, Gianluca & Hecq, Alain & Palm, Franz C., 2009. "Studying co-movements in large multivariate data prior to multivariate modelling," Journal of Econometrics, Elsevier, vol. 148(1), pages 25-35, January.

    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:fip:fedgif:70. 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: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

    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.