Análise da Relação PIB e Desemprego no Brasil: Uma Aplicação do Modelo de Cointegração Assimétrica

M. A. Margarido
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引用次数: 1

Abstract

This study examined the relationship between the Gross Domestic Product of Brazil (GDP) and the number of unemployed persons in the main metropolitan areas of the country. The data are monthly and analyzed period begins in January 2003 and extends until January 2016. The source of basic data for GDP was the Central Bank of Brazil, and the number of unemployed persons was the Brazilian Institute of Geography and Statistics (IBGE). X12 method was used to remove the seasonality of each series. To determine the order of integration of the series was used unit root test Dickey-Fuller (ADF). The long-term relationship of the series was analyzed with the Cointegration of Engle-Granger test. To examine the issue of asymmetric co-integration model was used Enders and Siklos (2001). The results show that the variables are co-integrated, and the relationship between variables is elastic in the long run, furthermore, there is presence of asymmetry, namely, negative shocks have more severe impact on the unemployment than positive shocks.
巴西gdp与失业关系分析:不对称协整模型的应用
这项研究审查了巴西国内生产总值与该国主要大都市地区失业人数之间的关系。数据为月度数据,分析期从2003年1月开始,一直持续到2016年1月。国内总产值基本数据的来源是巴西中央银行,失业人数是巴西地理和统计研究所。采用X12方法去除各序列的季节性。采用单位根检验Dickey-Fuller (ADF)确定序列的积分阶数。采用恩格尔-格兰杰协整检验分析该系列的长期关系。为了检验不对称协整问题,采用了Enders和Siklos(2001)的模型。结果表明,变量之间是协整的,变量之间的关系在长期内是弹性的,并且存在不对称性,即负冲击比正冲击对失业的影响更严重。
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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