Disaggregating Labor Payments by Skill Level in GTAP
Disaggregating Labor Payments by Skill Level in GTAP
复制标题
GTAP 中按技能水平分解劳动报酬
DOI：
10.22004/ag.econ.28722
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
T. Hertel
中科院分区：
文献类型：
--
作者：
Jing Liu;N. V. Leeuwen;T. Vo;R. Tyers;T. Hertel
本文概述了一种方法来分解劳动报酬的GTAP，全球经济数据库。低技能劳动力和高技能劳动力的划分是基于职业数据。高技能劳动力被认为是由管理人员，行政人员，专业人员和准专业人员组成。按行业收集了十五个不同经济体的职业分布数据，并将其映射到GTAP行业。回归分析显示，一方面，人均GDP与全国高等教育和中等教育劳动力存量之间存在系统关系，另一方面，部门劳动报酬分裂。该模型用于预测GTAP其余地区按部门划分的劳动力分配。结果是根据隐含的经济范围内的熟练-非熟练劳动力支付比率进行评估的。总的来说，结果似乎很有希望，足以保证列入GTAP，第4版数据库。
This paper outlines an approach to disaggregating labor payments in the GTAP, global economic data base. The split between low- and high-skilled labor is based on occupational data. High-skilled labor is assumed to consist of managers, administrators, professionals, and para-professionals. Data are gathered on this occupational split, by sector, in fifteen different economies, and these are mapped to GTAP sectors. Regression analysis shows a systematic relationship between GDP per capita and the national stock of tertiary and secondary educated labor on the one hand, and the sectoral labor payments split on the other. This model is used to predict labor splits, by sector, in the remaining GTAP regions. The results are evaluated in terms of the implied economywide skilled -unskilled labor payment ratio. Overall, the results seem promising enough to warrant inclusion in the GTAP, version 4 data base.