工资曲线，再一次与感觉:贝叶斯模型平均Heckit模型

Econometric Research in Finance Pub Date : 2018-10-15 DOI:10.33119/erfin.2018.3.2.1

R. Gonzales Martínez

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引用次数: 0

摘要

用贝叶斯方法评价了工资曲线对样本选择和模型不确定性的敏感性。根据2017年玻利维亚家庭调查的数据，估计了8000多条赫基特工资曲线。在对每个模型的后验概率进行平均后，玻利维亚的工资曲线弹性接近于-0.01。这一结果表明，我国的工资曲线是非弹性的，不符合国际工资曲线的统计规律。

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The Wage Curve, Once More with Feeling: Bayesian Model Averaging of Heckit Models

The sensitivity of the wage curve to sample-selection and model uncertainty was evaluated with Bayesian methods. More than 8000 Heckit wage curves were estimated using data from the 2017 household survey of Bolivia. After averaging the estimates with the posterior probability of each model being true, the wage curve elasticity in Bolivia is close to -0.01. This result suggests that in this country the wage curve is inelastic and does not follow the international statistical regularity of wage curves.

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来源期刊

Econometric Research in Finance

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

20 weeks