Ds-heck: double-lasso estimation of heckman selection model

HIGHLIGHTS

  • who: Masayuki Hirukawa from the Faculty, Ryukoku University, Kyoto, Japan have published the Article: DS-HECK: double-lasso estimation of Heckman selection model, in the Journal: (JOURNAL)
  • what: The authors demonstrate the effect the adjustments using simulations and the authors investigate the determinants female labor market participation and earnings in the the authors using the new approach. Even for purely linear models, this approach has well known challenges. The authors develop NO estimation for the model in_(1)-(2) which the authors call double-selection Heckman procedure, or DS-HECK. Next the authors investigate how . . .

     

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