The Usefulness of Microdata and some Strategies for the Storing, Using, and Disposing of it

  • James N. Morgan
Part of the International Economic Association Series book series (IEA)


The storage and retrieval of microdata involve serious problems because of the complex documentation required. The changing computer technology and the complex data-manipulation are statistical procedures. At best, secondary use will remain expensive, and its funding a problem. Reductions in cost of access require investments in anticipation of later use which may be self justifying (by increasing that use) but cannot be funded by those future users. A stepwise procedure for access will probably involve securing and reading the initial published analysis, then securing volumes of printed documentation (code books are not enough) and ultimately securing a data file. Now there is a problem of knowing who else has worked, or is working, on the same data.


Probability Sample Marginal Cost Price User Charge International Economic Review Code Book 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Goldberger, Arthur, ‘Maximum-Likelihood Estimation of Regressions Containing Unobservable Independent Variables’, International Economic Review, 13 (February 1972) pp. 1–15.CrossRefGoogle Scholar
  2. Zellner, Arnold, ‘Estimation of Regression Relationships Containing Unobservable Independent Variables’, International Economic Review, 11 (1970) pp. 441–54.CrossRefGoogle Scholar
  3. Learner, Edward E., ‘False Models and Post-Data Model Construction’, Journal of the American Statistical Association, 69 (March, 1974), pp. 112–1.Google Scholar
  4. Griliches, Zvi, ‘Errors in Variables and Other Unobservables’ Econometrica, Vol. 42 (November, 1974), pp. 971–98.CrossRefGoogle Scholar
  5. Goldberger Arthur, and Duncan, O. D., eds., Structural Equation Models in the Social Sciences, New York and London: Seminar Press, 1973).Google Scholar
  6. 2.
    Morgan, J. N., ‘Using Survey Data from the University of Michigan’s Survey Research Center’, American Economic Review, May 1975.Google Scholar
  7. 3.
    More than one such archive might be good, allowing for some specialization. As to substantive areas (economic, political, geographic), archives already exist at the universities of Michigan, Wisconsin, Illinois, and Florida, at Williams College, at the National Opionion Research Center (Chicago), and at the Bureau of Applied Social Research (Columbia).Google Scholar

Copyright information

© International Economic Association 1977

Authors and Affiliations

  • James N. Morgan
    • 1
  1. 1.University of MichiganUSA

Personalised recommendations