Macroeconomic Impacts of Declining Wage Share in National Income

T. Khandoker, J. Juniper
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Abstract

The study aims to lay down a parsimonious and tractable stock-flow-consistent macroeconomic modelling approach to enhance the analysis of identification and investigation of the key underlying causes of the macroeconomic and financial instability in the context of the 2007–2008 Global Financial Crises (GFC) and COVID-19 pandemic. The model has the following key features. First, the assets and liabilities of the four major sectors, households, firms, commercial banks and government, are explicitly formalised by considering the accounting flow of the fund approach. Second, the behaviour of each sector has been derived and analysed based on accounting identities derived from the transaction flow matrix. Third, the model is calibrated and simulated by determining the values of the parameters and the exogenous variables based on the US macroeconomic data. Fourth, the most relevant simulation experiments and their results have been sufficiently analysed to produce forecasts and provide specific policy recommendations. The findings suggest that a decline in the wage share in the national income was seen to have undermined financial and macroeconomic stability in the US (and elsewhere). The results concur with the experience of current economic crises that are associated with the impact of COVID-19.
国民收入中工资份额下降对宏观经济的影响
本研究旨在建立一种简约且易于处理的、与库存流量一致的宏观经济建模方法,以加强在2007-2008年全球金融危机和2019冠状病毒病大流行背景下对宏观经济和金融不稳定关键根本原因的识别和调查分析。该模型具有以下主要特性。首先,通过考虑基金方法的会计流程,四个主要部门(家庭、公司、商业银行和政府)的资产和负债被明确形式化。其次,每个部门的行为都是根据交易流矩阵得出的会计身份推导和分析的。第三,根据美国宏观经济数据,通过确定参数和外生变量的值,对模型进行校准和模拟。第四,对最相关的模拟实验及其结果进行了充分的分析,以产生预测并提供具体的政策建议。研究结果表明,工资在国民收入中所占比例的下降,被视为破坏了美国(以及其他地区)的金融和宏观经济稳定。这些结果与当前与COVID-19影响相关的经济危机的经验相一致。
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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