IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v13y1997i4p557-565.html
   My bibliography  Save this article

Further thoughts on simplicity and complexity in population projection models

Author

Listed:
  • Smith, Stanley K.

Abstract

No abstract is available for this item.

Suggested Citation

  • Smith, Stanley K., 1997. "Further thoughts on simplicity and complexity in population projection models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 557-565, December.
  • Handle: RePEc:eee:intfor:v:13:y:1997:i:4:p:557-565
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169-2070(97)00029-0
    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. Yokuma, J. Thomas & Armstrong, J. Scott, 1995. "Beyond accuracy: Comparison of criteria used to select forecasting methods," International Journal of Forecasting, Elsevier, vol. 11(4), pages 591-597, December.
    2. Spyros Makridakis & Robert L. Winkler, 1983. "Averages of Forecasts: Some Empirical Results," Management Science, INFORMS, vol. 29(9), pages 987-996, September.
    3. anonymous, 1987. "Comment on proposed actions," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Apr, pages 296-297.
    4. Smith, Stanley K. & Sincich, Terry, 1992. "Evaluating the forecast accuracy and bias of alternative population projections for states," International Journal of Forecasting, Elsevier, vol. 8(3), pages 495-508, November.
    5. Steve Murdock & F. Leistritz & Rita Hamm & Sean-Shong Hwang & Banoo Parpia, 1984. "An assessment of the accuracy of a regional economic-demographic projection model," Demography, Springer;Population Association of America (PAA), vol. 21(3), pages 383-404, August.
    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. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    2. Fullerton, Thomas M., Jr. & Ramirez, David A. & Walke, Adam G., 2013. "An Econometric Analysis of Population Change in Arkansas," MPRA Paper 59588, University Library of Munich, Germany, revised 11 Nov 2013.
    3. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    4. Osman Gulseven, 2016. "Forecasting Population and Demographic Composition of Kuwait Until 2030," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1429-1435.
    5. Flyvbjerg, Bent & Ansar, Atif & Budzier, Alexander & Buhl, Søren & Cantarelli, Chantal & Garbuio, Massimo & Glenting, Carsten & Holm, Mette Skamris & Lovallo, Dan & Lunn, Daniel & Molin, Eric & Rønnes, 2018. "Five things you should know about cost overrun," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 174-190.
    6. Michael P. Cameron & William Cochrane, 2015. "Using Land-Use Modelling to Statistically Downscale Population Projections to Small Areas," Working Papers in Economics 15/12, University of Waikato.
    7. Fullerton, Thomas M., Jr. & Walke, Adam G. & Villavicencio, Diana, 2015. "An Econometric Approach for Modeling Population Change in Doña Ana County, New Mexico," MPRA Paper 71141, University Library of Munich, Germany, revised 28 Jan 2015.
    8. Mikko Myrskylä & Joshua R. Goldstein & Yen-hsin Alice Cheng, 2012. "New cohort fertility forecasts for the developed world," MPIDR Working Papers WP-2012-014, Max Planck Institute for Demographic Research, Rostock, Germany.
    9. Colin Small & J. Eric Bickel, 2022. "Model Complexity and Accuracy: A COVID-19 Case Study," Decision Analysis, INFORMS, vol. 19(4), pages 354-383, December.

    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. Stefan Rayer, 2007. "Population forecast accuracy: does the choice of summary measure of error matter?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(2), pages 163-184, April.
    2. Richard E Klosterman, 2012. "Simple and Complex Models," Environment and Planning B, , vol. 39(1), pages 1-6, February.
    3. Jeff Tayman & Stanley Smith & Jeffrey Lin, 2007. "Precision, bias, and uncertainty for state population forecasts: an exploratory analysis of time series models," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(3), pages 347-369, June.
    4. Stefan Rayer & Stanley Smith & Jeff Tayman, 2009. "Empirical Prediction Intervals for County Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 28(6), pages 773-793, December.
    5. Jeff Tayman & Stanley Smith & Stefan Rayer, 2011. "Evaluating Population Forecast Accuracy: A Regression Approach Using County Data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(2), pages 235-262, April.
    6. Che-Jung Chang & Liping Yu & Peng Jin, 2016. "A mega-trend-diffusion grey forecasting model for short-term manufacturing demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(12), pages 1439-1445, December.
    7. Carter, Lawrence R., 1998. "Combining probabilistic and subjective assessments of error to provide realistic appraisals of demographic forecast uncertainty: Alho's approach," International Journal of Forecasting, Elsevier, vol. 14(4), pages 523-526, December.
    8. Kourentzes, Nikolaos & Petropoulos, Fotios & Trapero, Juan R., 2014. "Improving forecasting by estimating time series structural components across multiple frequencies," International Journal of Forecasting, Elsevier, vol. 30(2), pages 291-302.
    9. Stanley Smith & Terry Sincich, 1988. "Stability over time in the distribution of population forecast errors," Demography, Springer;Population Association of America (PAA), vol. 25(3), pages 461-474, August.
    10. Chang, Che-Jung & Li, Der-Chiang & Huang, Yi-Hsiang & Chen, Chien-Chih, 2015. "A novel gray forecasting model based on the box plot for small manufacturing data sets," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 400-408.
    11. Samuels, Jon D. & Sekkel, Rodrigo M., 2017. "Model Confidence Sets and forecast combination," International Journal of Forecasting, Elsevier, vol. 33(1), pages 48-60.
    12. Julia A. Minson & Jennifer S. Mueller & Richard P. Larrick, 2018. "The Contingent Wisdom of Dyads: When Discussion Enhances vs. Undermines the Accuracy of Collaborative Judgments," Management Science, INFORMS, vol. 64(9), pages 4177-4192, September.
    13. Robert L. Winkler & Robert T. Clemen, 2004. "Multiple Experts vs. Multiple Methods: Combining Correlation Assessments," Decision Analysis, INFORMS, vol. 1(3), pages 167-176, September.
    14. Fullerton, Thomas Jr. & Laaksonen, Mika M. & West, Carol T., 2001. "Regional multi-family housing start forecast accuracy," International Journal of Forecasting, Elsevier, vol. 17(2), pages 171-180.
    15. Khim-Sen Liew & Kian-Ping Lim & Chee-Keong Choong, 2003. "On The Forecastability Of Asean-5 Stock Markets Returns Using Time Series Models," Finance 0307012, University Library of Munich, Germany.
    16. Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
    17. Lisheng He & Pantelis P. Analytis & Sudeep Bhatia, 2022. "The Wisdom of Model Crowds," Management Science, INFORMS, vol. 68(5), pages 3635-3659, May.
    18. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
    19. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    20. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2024. "Predicting Bond Return Predictability," Management Science, INFORMS, vol. 70(2), pages 931-951, February.

    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:intfor:v:13:y:1997:i:4:p:557-565. 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/ijforecast .

    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.