Estimation and Inference by Stochastic Optimization: Three Examples.

The article discusses about Stochastic Optimization. Topics of discussion includes Bootstrap inference approximates the asymptotic distribution but requires repeated optimization. Newton-Raphson algorithm provides consistent estimates and valid standard errors in optimizer. A resampling-based indire...

Descripción completa

Detalles Bibliográficos
Publicado en:AEA Papers & Proceedings Vol. 111; pp. 626 - 631
Autores principales: FORNERON, JEAN-JACQUES, NG, SERENA
Formato: Artículo
Publicado: American Economic Association May2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=150307424&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 150307424
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        25740768
        LNGQ
      jtl: AEA Papers & Proceedings
      issn: 25740768
      maglogo: N
    pubinfo:
      dt: May2021
      vid: 111
      pid: 22
      pub: American Economic Association
    artinfo:
      ui:
        150307424
        10.1257/pandp.20211038
      ppf: 626
      ppct: 5
      formats:
      tig:
        atl: Estimation and Inference by Stochastic Optimization: Three Examples.
      aug:
        au:
          FORNERON, JEAN-JACQUES
          NG, SERENA
        affil:
          Department of Economics, Boston University.
          Department of Economics, Columbia University, and NBER.
      su:
        Stochastic difference equations
        Inferential statistics
        Asymptotic distribution
        Mathematical optimization
        Newton-Raphson method
        Resampling (Statistics)
      sug:
        subj:
          Stochastic difference equations
          Inferential statistics
          Asymptotic distribution
          Mathematical optimization
          Newton-Raphson method
          Resampling (Statistics)
      ab: The article discusses about Stochastic Optimization. Topics of discussion includes Bootstrap inference approximates the asymptotic distribution but requires repeated optimization. Newton-Raphson algorithm provides consistent estimates and valid standard errors in optimizer. A resampling-based indirect inference estimator produces standard errors but is efficient by classical optimization.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N