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英文文献：Farm Employment Transitions: A Markov Chain Analysis with Self-Selectivity-农业就业转型:自我选择性的马尔可夫链分析
英文文献作者：Iwai, Nobuyuki,Emerson, Robert D.,Walters, Lurleen M.
英文文献摘要：
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.
摘要利用1989-2004年全国农业工人调查数据，采用最大似然法估计了具有法律地位选择偏差修正的平稳一阶马尔科夫链模型，以评估工人按法律地位留在美国农业的可能性。虽然美国农业中有条件稳定状态的概率最高，但在不同的法律地位之间并没有太大的差别。对估计模型的模拟表明，非法工人的法律地位的改变只会导致美国农业稳态概率的微小变化，特别是在2001年后。
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