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author:

Niu, Chengying (Niu, Chengying.) [1]

Indexed by:

CPCI-S Scopus

Abstract:

By using propensity score matching method of random sample, we matched simple random sample units and volunteer panel Web survey sample units based on the equal or similar propensity score. The unbiased estimators of the population parameters are constructed by using the matching simple random sample, and the self-selection bias is estimated. We propose propensity score weighted and matching sample post stratification weighted methods to estimate the population parameters, and the self-selection bias in volunteer panel Web Surveys are adjusted.

Keyword:

Sample Matching Self-Selection Bias Volunteer Panel Sample Web Survey

Community:

  • [ 1 ] [Niu, Chengying]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Niu, Chengying]Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou 73002, Gansu, Peoples R China

Reprint 's Address:

  • 牛成英

    [Niu, Chengying]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Fujian, Peoples R China;;[Niu, Chengying]Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou 73002, Gansu, Peoples R China

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Source :

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM-2015)

ISSN: 0094-243X

Year: 2016

Volume: 1738

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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