Farm Employment Transitions: A Markov Chain Analysis with Self-Selectivity

Nobuyuki Iwai, Robert D. Emerson and Lurleen M. Walters

No 21353, 2006 Annual meeting, July 23-26, Long Beach, CA from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: A stationary, first-order Markov chain model with selection bias correction for legal status is estimated by maxixmum likelihood methods using the National Agricultural Worker Survey data for 1989-2004 to evaluate the likelihood of workers staying in U.S. agriculture by legal status. Although the conditional steady state probability in US agriculture is highest for uanauthorized workers, there is little difference between legal statuses. Simulations of the estimated model indicate that a legal status change for unauthorized workers would result in only small changes in the steady state probability of being in US agriculture, particularly after 2001.

Keywords: Labor; and; Human; Capital (search for similar items in EconPapers)
Pages: 29
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea06:21353

DOI: 10.22004/ag.econ.21353

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