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Bootstrap Performance with Heteroskedasticity

Author

Listed:
  • Russell Davidson
  • Andrea Monticini

    (Università Cattolica del Sacro Cuore
    Dipartimento di Economia e Finanza, Università Cattolica del Sacro Cuore)

Abstract
The aim of this paper is to illustrate more than one instance of poor bootstrap performance, and to see how available diagnostic techniques can indicate reliably when and how this poor performance can arise. Two particular features that seem to be important to explain bootstrap discrepancy are illustrated by some Monte Carlo experiments.

Suggested Citation

  • Russell Davidson & Andrea Monticini, 2023. "Bootstrap Performance with Heteroskedasticity," DISCE - Working Papers del Dipartimento di Economia e Finanza def130, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    • Handle: RePEc:ctc:serie1:def130
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    More about this item

    Keywords

    Bootstrap inference; fast double bootstrap; conditional fast double bootstrap; heteroskedasticity.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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