Prediction of finite population proportion using bivariate probit model

Abstract We propose model-based predictive estimators for finite population proportions resulting from bivariate binary responses, incorporating information on auxiliary variables available for all units in the finite population. Due to the complexity of analytical expression for variance estimators, we suggest a computationally efficient hybrid bootstrap variance estimator. The performance of our proposed estimator is evaluated against other commonly used design-based estimators through comprehensive simulation studies. These findings are further supported by an empirical study using coal miners’ data.

• Publication year

  2025

• Venue

  Communications in Statistics - Theory and Methods

• Publication date

  2025-07-30

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1080/03610926.2025.2531404
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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