IDEAS home Printed from https://ideas.repec.org/p/tiu/tiutis/dc43de47-0865-4485-8f7c-8d7d5d5d90b8.html
   My bibliography  Save this paper

Linear regression using both temporally aggregated and temporally disaggregated data

Author

Listed:
  • Palm, F.C.
  • Nijman, T.E.

    (Tilburg University, School of Economics and Management)

Abstract

No abstract is available for this item.

Suggested Citation

  • Palm, F.C. & Nijman, T.E., 1982. "Linear regression using both temporally aggregated and temporally disaggregated data," Other publications TiSEM dc43de47-0865-4485-8f7c-8, Tilburg University, School of Economics and Management.
  • Handle: RePEc:tiu:tiutis:dc43de47-0865-4485-8f7c-8d7d5d5d90b8
    as

    Download full text from publisher

    File URL: https://pure.uvt.nl/ws/portalfiles/portal/651239/26696_7147.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hsiao, Cheng, 1979. "Linear regression using both temporally aggregated and temporally disaggregated data," Journal of Econometrics, Elsevier, vol. 10(2), pages 243-252, June.
    2. Dhrymes, Phoebus J & Taylor, John B, 1976. "On an Efficient Two-Step Estimator for Dynamic Simultaneous Equations Models with Autoregressive Errors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(2), pages 362-376, June.
    3. Dagenais, Marcel G., 1973. "The use of incomplete observations in multiple regression analysis : A generalized least squares approach," Journal of Econometrics, Elsevier, vol. 1(4), pages 317-328, December.
    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. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    2. Chih-Nan Chen & Tsutomu Watanabe & Tomoyoshi Yabu, 2012. "A New Method for Identifying the Effects of Foreign Exchange Interventions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1507-1533, December.
    3. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    4. Palm, Franz C & Nijman, Theo E, 1984. "Missing Observations in the Dynamic Regression Model," Econometrica, Econometric Society, vol. 52(6), pages 1415-1435, November.
    5. Theodore E. Nijman & Franz C. Palm, 1988. "Consistent Estimation of Regression Models with Incompletely Observed Exogenous Variables," Annals of Economics and Statistics, GENES, issue 12, pages 151-175.
    6. Nijman, T.E. & Palm, F.C., 1987. "Consistent estimation of regression models with incompletely observed exogenous variables," Other publications TiSEM a1dbc0ec-23d6-4bb1-8a95-7, Tilburg University, School of Economics and Management.
    7. Eatzaz Ahmad, 1988. "Combining Yearly and Quarterly Data in Regression Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 27(4), pages 715-723.
    8. Zheng Xu, 2023. "Logistic Regression Based on Individual-Level Predictors and Aggregate-Level Responses," Mathematics, MDPI, vol. 11(3), pages 1-12, February.
    9. Qian, Hang, 2010. "Linear regression using both temporally aggregated and temporally disaggregated data: Revisited," MPRA Paper 32686, University Library of Munich, Germany.

    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. Palm, Franz C & Nijman, Theo E, 1984. "Missing Observations in the Dynamic Regression Model," Econometrica, Econometric Society, vol. 52(6), pages 1415-1435, November.
    2. Qian, Hang, 2010. "Linear regression using both temporally aggregated and temporally disaggregated data: Revisited," MPRA Paper 32686, University Library of Munich, Germany.
    3. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    4. Perry Warjiyo & Wallace E. Huffman, 1997. "Dynamic input demand functions and resource adjustment for US agriculture: state evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 17(2-3), pages 223-237, December.
    5. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    6. Helen Jensen & Justo Manrique, 1998. "Demand for food commodities by income groups in Indonesia," Applied Economics, Taylor & Francis Journals, vol. 30(4), pages 491-501.
    7. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    8. Denis Conniffe & Donal O'Neill, 2011. "Efficient Probit Estimation with Partially Missing Covariates," Advances in Econometrics, in: Missing Data Methods: Cross-sectional Methods and Applications, pages 209-245, Emerald Group Publishing Limited.
    9. Bobst, Barry W. & Davis, Joe T., 1982. "Regional Beef Cattle Inventory Functions With Aggregation Constraints," 1982 Annual Meeting, August 1-4, Logan, Utah 279469, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Heien, Dale & Pompelli, Greg, 1988. "The Demand For Beef Products: Cross-Section Estimation Of Demographic And Economic Effects," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-8, July.
    11. Theodore E. Nijman & Franz C. Palm, 1988. "Consistent Estimation of Regression Models with Incompletely Observed Exogenous Variables," Annals of Economics and Statistics, GENES, issue 12, pages 151-175.
    12. Andreou, Elena & Ghysels, Eric & Kourtellos, Andros, 2010. "Regression models with mixed sampling frequencies," Journal of Econometrics, Elsevier, vol. 158(2), pages 246-261, October.
    13. Palm, Franz & Zellner, Arnold, 1981. "Large sample estimation and testing procedures for dynamic equation systems," Journal of Econometrics, Elsevier, vol. 17(1), pages 131-138, September.
    14. Denis Conniffe & Donal O’Neill, 2008. "An Efficient Estimator for Dealing with Missing Data on Explanatory Variables in a Probit Choice Model," Economics Department Working Paper Series n1960908.pdf, Department of Economics, National University of Ireland - Maynooth.
    15. Nijman, T.E. & Palm, F.C., 1987. "Consistent estimation of regression models with incompletely observed exogenous variables," Other publications TiSEM a1dbc0ec-23d6-4bb1-8a95-7, Tilburg University, School of Economics and Management.
    16. Maria Raikou & Alistair McGuire, 2012. "Estimating Costs for Economic Evaluation," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 43, Edward Elgar Publishing.
    17. repec:wyi:journl:002082 is not listed on IDEAS
    18. Weiss, Andrew A., 1986. "Asymptotic Theory for ARCH Models: Estimation and Testing," Econometric Theory, Cambridge University Press, vol. 2(1), pages 107-131, April.
    19. Chih‐Nan Chen & Tsutomu Watanabe & Tomoyoshi Yabu, 2012. "A New Method for Identifying the Effects of Foreign Exchange Interventions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1507-1533, December.
    20. Lee, Jonq-Ying, 1986. "Imputed Missing Incomes And Marginal Propensity To Consume Food," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(2), pages 1-8, December.
    21. Yimin Yang & Fei Jia & Haoran Li, 2023. "Estimation of Panel Data Models with Mixed Sampling Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 514-544, June.

    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:tiu:tiutis:dc43de47-0865-4485-8f7c-8d7d5d5d90b8. 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: Richard Broekman (email available below). General contact details of provider: https://www.tilburguniversity.edu/about/schools/economics-and-management/ .

    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.