IDEAS home Printed from https://ideas.repec.org/a/kap/poprpr/v31y2012i2p235-266.html
   My bibliography  Save this article

An Evaluation of Persons per Household (PPH) Estimates Generated by the American Community Survey: A Demographic Perspective

Author

Listed:
  • David Swanson
  • George Hough

Abstract

No abstract is available for this item.

Suggested Citation

  • David Swanson & George Hough, 2012. "An Evaluation of Persons per Household (PPH) Estimates Generated by the American Community Survey: A Demographic Perspective," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 31(2), pages 235-266, April.
    • Handle: RePEc:kap:poprpr:v:31:y:2012:i:2:p:235-266
    DOI: 10.1007/s11113-012-9227-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11113-012-9227-8
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11113-012-9227-8?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
    ---><---

    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. Michael Murray, 1992. "Census adjustment and the distribution of federal spending," Demography, Springer;Population Association of America (PAA), vol. 29(3), pages 319-332, August.
    2. Rossana, Robert J & Seater, John J, 1995. "Temporal Aggregation and Economic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 441-451, October.
    3. Deborah Griffin & Preston Waite, 2006. "American Community Survey overview and the role of external evaluations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 25(3), pages 201-223, June.
    4. George Hough & David Swanson, 2006. "An evaluation of the American Community Survey: results from the Oregon test site," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 25(3), pages 257-273, June.
    5. Jushan Bai, 1997. "Estimation Of A Change Point In Multiple Regression Models," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 551-563, November.
    6. Panel on Formula Allocations of which Allen L. Schirm is a memer, "undated". "Statistical Issues in Allocating Funds by Formula," Mathematica Policy Research Reports 30869b86af674545a5878a09a, Mathematica Policy Research.
    7. Jiming Jiang & P. Lahiri, 2006. "Mixed model prediction and small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-96, June.
    8. David Swanson & Jeff Tayman & Charles Barr, 2000. "A note on the measurement of accuracy for subnational demographic estimates," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 193-201, May.
    9. Frank M. Bass & Robert P. Leone, 1983. "Temporal Aggregation, the Data Interval Bias, and Empirical Estimation of Bimonthly Relations from Annual Data," Management Science, INFORMS, vol. 29(1), pages 1-11, January.
    10. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    11. Stanley Smith & June Nogle & Scott Cody, 2002. "A regression approach to estimating the average number of persons per household," Demography, Springer;Population Association of America (PAA), vol. 39(4), pages 697-712, November.
    12. Stanley Smith & Bart Lewis, 1980. "Some new techniques for applying the housing unit method of local population estimation," Demography, Springer;Population Association of America (PAA), vol. 17(3), pages 323-339, August.
    13. Thomas Burch, 1970. "Some demographic determinants of average household size: An analytic approach," Demography, Springer;Population Association of America (PAA), vol. 7(1), pages 61-69, February.
    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. Xu, Hai-Yan & Kuo, Shyh-Hao & Li, Guoqi & Legara, Erika Fille T. & Zhao, Daxuan & Monterola, Christopher P., 2016. "Generalized Cross Entropy Method for estimating joint distribution from incomplete information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 162-172.
    2. Jack Baker & David Swanson & Jeff Tayman, 2021. "The Accuracy of Hamilton–Perry Population Projections for Census Tracts in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(6), pages 1341-1354, December.
    3. Stanley Smith & Scott Cody, 2013. "Making the Housing Unit Method Work: An Evaluation of 2010 Population Estimates in Florida," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(2), pages 221-242, April.
    4. Guoqi Li & Daxuan Zhao & Yi Xu & Shyh-Hao Kuo & Hai-Yan Xu & Nan Hu & Guangshe Zhao & Christopher Monterola, 2015. "Entropy Based Modelling for Estimating Demographic Trends," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-19, September.

    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. Annette Jacoby & Peter Lobo & Joseph J. Salvo, 2021. "Estimating Postcensal Household Size for NYC’s Neighborhoods," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(3), pages 459-474, June.
    2. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    3. Felix Pretis & Michael Mann & Robert Kaufmann, 2015. "Testing competing models of the temperature hiatus: assessing the effects of conditioning variables and temporal uncertainties through sample-wide break detection," Climatic Change, Springer, vol. 131(4), pages 705-718, August.
    4. Martin T. Bohl & Alexander Pütz & Pierre L. Siklos & Christoph Sulewski, 2018. "Information Transmission under Increasing Political Tension – Evidence for the Berlin Produce Exchange 1887-1896," CQE Working Papers 7618, Center for Quantitative Economics (CQE), University of Muenster.
    5. Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2017. "The asymptotic behaviour of the residual sum of squares in models with multiple break points," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 667-698, October.
    6. Timothy Besley & Thiemo Fetzer & Hannes Mueller, 2015. "The Welfare Cost Of Lawlessness: Evidence From Somali Piracy," Journal of the European Economic Association, European Economic Association, vol. 13(2), pages 203-239, April.
    7. Magazzino, Cosimo & Drago, Carlo & Schneider, Nicolas, 2023. "Evidence of supply security and sustainability challenges in Nigeria’s power sector," Utilities Policy, Elsevier, vol. 82(C).
    8. Jesús Clemente & María Dolores Gadea & Antonio Montañés & Marcelo Reyes, 2017. "Structural Breaks, Inflation and Interest Rates: Evidence from the G7 Countries," Econometrics, MDPI, vol. 5(1), pages 1-17, February.
    9. Duan, Jiangtao & Bai, Jushan & Han, Xu, 2023. "Quasi-maximum likelihood estimation of break point in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 233(1), pages 209-236.
    10. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
    11. Ngai Hang Chan & Chun Yip Yau & Rong-Mao Zhang, 2014. "Group LASSO for Structural Break Time Series," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 590-599, June.
    12. Hui Hong & Zhicun Bian & Chien-Chiang Lee, 2021. "COVID-19 and instability of stock market performance: evidence from the U.S," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-18, December.
    13. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    14. Guhathakurta, Kousik & Dash, Saumya Ranjan & Maitra, Debasish, 2020. "Period specific volatility spillover based connectedness between oil and other commodity prices and their portfolio implications," Energy Economics, Elsevier, vol. 85(C).
    15. Boetel, Brenda L. & Liu, Donald J., 2008. "Incorporating Structural Changes in Agricultural and Food Price Analysis: An Application to the U.S. Beef and Pork Sectors," Working Papers 44076, University of Minnesota, The Food Industry Center.
    16. Kejriwal, Mohitosh & Perron, Pierre, 2010. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 503-522.
    17. Casini, Alessandro & Perron, Pierre, 2021. "Continuous record Laplace-based inference about the break date in structural change models," Journal of Econometrics, Elsevier, vol. 224(1), pages 3-21.
    18. Addona Vittorio & Yates Philip A, 2010. "A Closer Look at the Relative Age Effect in the National Hockey League," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(4), pages 1-19, October.
    19. Yang Fan & Teng Jianzhou, 2011. "Studying on the monetary transmission mechanism in China in the presence of structural changes," China Finance Review International, Emerald Group Publishing Limited, vol. 1(4), pages 334-357, September.
    20. Amountzias, Chrysovalantis, 2023. "Do petrol prices rise faster than they fall? Evidence from the UK retail and wholesale petrol sectors," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).

    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:kap:poprpr:v:31:y:2012:i:2:p:235-266. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.