Econometric Analysis of Quantile RegressionModels andTheir Applications

由于一组分位数往往比平均值更能完整地描述响应分布，因此本研究将重点放在分位数回归上，它为经典均值回归提供了一个重要的替代方案。我们开发了新的分位数回归模型和有效的基于模拟的方法来分析经济数据。我们还通过实证调查劳动力供给和医疗支出等问题来检验所提出方法的绩效。

Since a set of quantiles often provides more complete description of the response distribution than the mean, this study has focused on quantile regression, which offers an important alternative to classical mean regression. We have developed new quantile regression models and efficient simulation-based methods for analyzing economic data. We have also examined the performance of the proposed methods by empirically investigating the problems such as labor supply andmedical expenditure.