Problems in the Analysis of Survey Data, and a Proposal

@article{Morgan1963ProblemsIT,
  title={Problems in the Analysis of Survey Data, and a Proposal},
  author={James N. Morgan and John A. Sonquist},
  journal={Journal of the American Statistical Association},
  year={1963},
  volume={58},
  pages={415-434}
}
  • J. Morgan, J. Sonquist
  • Published 1 June 1963
  • Mathematics
  • Journal of the American Statistical Association
Abstract Most of the problems of analyzing survey data have been reasonably well handled, except those revolving around the existence of interaction effects. Indeed, increased efficiency in handling multivariate analyses even with non-numerical variables, has been achieved largely by assuming additivity. An approach to survey data is proposed which imposes no restrictions on interaction effects, focuses on Importance in reducing predictive error, operates sequentially, and is independent of the… 

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References

SHOWING 1-10 OF 10 REFERENCES
Results of Alternative Statistical Treatments of Sample Survey Data
A CAREFUL formulation of the probability and economic model which , underlies observations is indispensable for the choice of correct statistical procedures to be followed in drawing econometric
Factors Associated with Stock Ownership
D URING the past decade, a considerable amount of information has become available about share ownership among various population groups. Following the first collection of data on this subject in the
Analysis of Life Insurance Premiums
THE purpose of the investigation reported here is to examine factors associated with the amount of money which consumer units spend on life insurance premiums. Life insurance premiums represent an
The Size of Individual Incomes: Socio-Economic Variables and Chance Variation
W HILE many economists have focused their descriptive and analytical energies on the size distribution of income, no wholly useful or empirically validable explanation for the inequality of
Note on Stepwise Least Squares
Abstract A stepwise procedure is often used to estimate one coefficient in a multiple linear regression. The relation between this stepwise estimate and the estimate obtained by direct multiple
A note on nested sampling For an example of the use of rho in analysis see Leslie Kish and John LansingThe family life cycle as an independeet variable
  • Sankhya American Sociological Review, XXII
  • 1941
Factors related to consumer savings
  • Contributions of Survey Methods to Economics, L. Klein (Editor)
  • 1954
Exploration in savings behaviorAn analysis of residuals from 'normal' regressions
  • Contributions of Survey Methods to Economics, L. Klein (Editor)
  • 1954
Consumer investment expenditures
  • American Economic Review, XlVIII (Decemiber
  • 1958