Nowcasting poverty and inequality in the context of economic growth and Covid-19 pandemic in Lithuania

Vitalija Gabnytė, Aušra Čižauskaitė, Jekaterina Navickė
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Abstract

The purpose of this article is to present a methodology and results for nowcasting poverty and inequality indicators during economic growth and the Covid-19 pandemic in Lithuania. Nowcasting combines the techniques of tax-benefit microsimulation and calibration of the survey weights. For the microsimulation, the tax-benefit microsimulation model EUROMOD is used together with its additional components for Lithuania, which were developed by the Ministry of Social Security and Labour of the Republic of Lithuania. Three economic forecasts, developed by the Bank of Lithuania for 2020, are used: the rapid V-shaped recovery scenario, intermediate U-shaped recovery scenario and a slow extended U-shaped recovery scenario. The results show Lithuania's favourable tendencies in reducing poverty and inequality in the general population and by age groups in the context of rapid economic growth and improving the improved labour-market situation in 2018–2019. The results of 2020 suggest that relative at-risk-of-poverty rates and inequality in the country are likely to decline. The foreseen decrease in the at-risk-of-poverty rate is primarily due to reducing poverty risk among older people and children. The most vulnerable age groups include youth (18–24 years) and the elder working-age population (50–64 years). Poverty rates for these groups are likely to increase in 2020. However, it should be noted that the at-risk-of-poverty rates had also declined in Lithuania during the first years of the previous economic crisis. Decomposition of demographic/employment changes and policy effects for 2019–2020 show that due to demographic and employment changes, poverty and inequality is likely to increase in Lithuania in 2020. The impact of the policy effect is progressive, more favourable to the less well-off, leading to a reduction in poverty. Progressiveness is due to the fact that during the quarantine period, flat benefits were provided to a large part of the society: children, pensioners, job-seekers, self-employed.
立陶宛经济增长和Covid-19大流行背景下的临近贫困和不平等
本文的目的是提出一种方法和结果,用于预测立陶宛经济增长和新冠肺炎大流行期间的贫困和不平等指标。Nowcasting结合了税收优惠微观模拟和调查权重校准技术。对于微观模拟,税收优惠微观模拟模型EUROMOD及其立陶宛的其他组成部分由立陶宛共和国社会保障和劳工部开发。使用了立陶宛银行制定的2020年三个经济预测:快速V型复苏情景、中间U型复苏情景和缓慢延长U型复苏场景。结果显示,在2018-2019年经济快速增长和劳动力市场状况改善的背景下,立陶宛在减少普通人口和年龄组的贫困和不平等方面有着有利的趋势。2020年的结果表明,该国相对贫困率和不平等风险可能会下降。预计贫困风险率的下降主要是由于降低了老年人和儿童的贫困风险。最脆弱的年龄组包括青年(18-24岁)和老年劳动年龄人口(50-64岁)。2020年,这些群体的贫困率可能会上升。然而,应该指出的是,在上一次经济危机的头几年,立陶宛的贫困风险率也有所下降。对2019-2020年人口/就业变化和政策影响的分解表明,由于人口和就业变化,2020年立陶宛的贫困和不平等可能会加剧。政策效果的影响是渐进的,对不太富裕的人更有利,从而减少了贫困。进步是因为在隔离期间,社会的大部分人都得到了统一的福利:儿童、养老金领取者、求职者、自营职业者。
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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