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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
    1. Moreira, C. & de Uña-Álvarez, J. & Meira-Machado, L., 2016. "Nonparametric regression with doubly truncated data," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 294-307.
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    4. Kenneth A. Baerenklau, 2010. "A Latent Class Approach to Modeling Endogenous Spatial Sorting in Zonal Recreation Demand Models," Land Economics, University of Wisconsin Press, vol. 86(4), pages 800-816.
    5. Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
    6. Stephen Hynes & William Greene, 2013. "A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 177-192.
    7. Carla Moreira & Jacobo de Uña-Álvarez, 2010. "Bootstrapping the NPMLE for doubly truncated data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 22(5), pages 567-583.
    8. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    9. Pao-sheng Shen, 2010. "Nonparametric analysis of doubly truncated data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(5), pages 835-853, October.
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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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