预测克罗地亚非就业人员的工资总额

Financial Theory and Practice Pub Date : 2016-03-14 DOI:10.3326/FINTP.40.1.1

Slavko Bezeredi, I. Urban

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引用次数: 4

摘要

我们提出了一项研究的结果，旨在建立一个模型来预测克罗地亚非就业人员的工资。这些预测将用于计算广泛边际的边际有效税率和劳动力供给模型。使用的数据库是2012年€œEU收入和生活条件统计数据€。本文对数据来源、变量、就业和非就业子组以及线性回归模型、Heckman选择模型和分位数回归模型的结果进行了全面说明。对不同模型的预测质量进行了比较和讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Predicting gross wages of non-employed persons in Croatia

We present the findings of a study aimed at building a model for predicting wages of non-employed persons in Croatia. The predictions will be used in the calculation of marginal effective tax rate at the extensive margin and in labour supply modelling. The database used is 2012 â€œEU statistics on income and living conditionsâ€ . The paper comprehensively explains the data source, variables, subgroups of employed and non-employed, and the results of the linear regression model, the Heckman selection model and the quantile regression model. The quality of predictions obtained by different models is compared and discussed.

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来源期刊

Financial Theory and Practice

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0.00%

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审稿时长

15 weeks