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Double truncation in choice-based sample: An application of on-site survey sample

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  • Kavita Sardana

    (TERI SAS)

Abstract

In this paper, I derive the distribution of an on-site survey sample that is truncated from above. By bootstrapping the conditional expectation with and without upper truncation, I show that the differences are statistically significant. I conclude that ad-hoc truncation (upper truncation) might not be the best solution to homogenize the population, rather semi-parametric methods such as Latent Class Models should be used to identify different classes of homogeneous population.

Suggested Citation

  • Kavita Sardana, 2021. "Double truncation in choice-based sample: An application of on-site survey sample," Economics Bulletin, AccessEcon, vol. 41(2), pages 781-787.
  • Handle: RePEc:ebl:ecbull:eb-21-00104
    as

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    References listed on IDEAS

    as
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    6. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
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    More about this item

    Keywords

    Choice-based sample; On-site survey sample; Truncated distribution; ad-hoc truncation; bootstrap.;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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