Measuring economic mobility in India using noisy data: a partial identification approach
研究了印度在考虑分类错误情况下的经济流动性，发现2005至2012年间至少65%的贫困家庭仍处于贫困或风险中，穆斯林、低种姓和农村家庭处境更差。
Abstract We examine economic mobility in India while accounting for misclassification to better understand the welfare effects of the rise in inequality. To proceed, we extend recently developed methods on the partial identification of transition matrices. Allowing for modest misclassification, we find overall mobility has been remarkably low: at least 65% of poor households remained poor or at-risk of being poor between 2005 and 2012. We also find Muslims, lower caste groups, and rural households are in a more disadvantageous position compared to Hindus, upper caste groups, and urban households. These findings cast doubt on the conventional wisdom that marginalized households in India are catching up.