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Category versus Continuous Survey Responses in Economic Modelling: Monte Carlo and Empirical Evidence


  • Dunn, L F


Choice of survey response format involves a tradeoff between information content and measurement error. Estimation precis ion is examined with (1) a Monte Carlo study where ordered logit fits of categorized data with no measurement error are compared with OLS fit s using the same data in continuous form but incorporating substantial measurement error; and (2) an OLS versus ordered logit comparison us ing actual data where 3,800 Army officers stated their service intention s with both continuous and category format questions. In both investigations, continuous data do as well or better than category data. Suggesting that the widespread use of category data may be resulting in unnecessary loss of information. Copyright 1993 by MIT Press.

Suggested Citation

  • Dunn, L F, 1993. "Category versus Continuous Survey Responses in Economic Modelling: Monte Carlo and Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 75(1), pages 188-193, February.
  • Handle: RePEc:tpr:restat:v:75:y:1993:i:1:p:188-93

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    References listed on IDEAS

    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Andrews, Donald W. K. & Fair, Ray C., 1992. "Estimation of polynomial distributed lags and leads with end point constraints," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 123-139.
    3. Fair, Ray C, 1993. "Testing the Rational Expectations Hypothesis in Macroeconometric Models," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 169-190, April.
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