Abstract

Econometric models estimating parameters for agricultural policy analysis increasingly rely on unbalanced panels of farm-level data. Since such models have often been estimated through simplified approaches, in this paper we show that adopting more sophisticated panel data techniques may be very important for obtaining more reliable estimates of policy parameters. We also extend the two-stage procedure proposed by Shonkwiler and Yen (1999) andTauchmann (2005) for the analysis of censored data to account for heteroskedasticity and correlation of the error terms of the first-stage probit models.
Lingua originaleEnglish
pagine (da-a)1202-1217
Numero di pagine16
RivistaAmerican Journal of Agricultural Economics
Volume94
DOI
Stato di pubblicazionePubblicato - 2012

Keywords

  • Error Component Model
  • agricultural policy
  • panel data
  • systems of equations

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