巴布亚新几内亚高频价格调查的机器学习推断

This Policy Research Working Paper explores the use of machine learning to impute missing data in ongoing surveys in order to gain insight into economic developments in data-scarce regions. The paper focuses on tracking inflation in fresh produce prices at the local market level in Papua New Guinea using incomplete and intermittent survey data. The authors find that machine learning can be used to produce continuous data in near-real-time, providing valuable information for policymakers in supporting vulnerable populations.

想要查找优质研报首选发现报告，网址www.fxbaogao.com。平台深耕研报行业多年，拥有超全研报类目，存量报告规模遥遥领先，累计服务庞大用户群体。覆盖宏观经济、细分行业、个股公司、财务财报等全维度内容，极简页面搭配智能技术，让广大投资用户轻松实现深度市场洞察。