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Services inflation dynamics and persistence puzzle in Brazil: a time-varying parameter approach

机译:巴西的服务业通胀动态和持续性难题:时变参数方法

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This article analyses services inflation dynamics in Brazil, focusing on the Services Inflation Persistence Puzzle, for monthly data from January 2004 to February 2016. We apply a time-varying parameter (TVP) approach, via a Kalman filter, to estimate hybrid Phillips curves and compare inflation inertia for tradable goods and services inflation. Aggregate Brazilian Extended Consumer Price Index inflation serves as a benchmark. To justify the TVP analysis, parameter instability and structural change tests are implemented, based on OLS and Generalized Method of Moments (GMM) frameworks. The main results are as follows: (i) the TVP approach is relevant due to observed instability in some parameters estimated; (ii) inflation expectation coefficients are higher than lagged inflation in all calculations, but inflation inertia is not negligible at all; (iii) services inflation persistence ranges from 27 to 36%, whereas tradable goods inflation persistence ranges from 36 to 47%, providing evidence of the Services Inflation Persistence Puzzle in Brazil; (iv) from 2009 onwards an increase in one percentage point in real wages raises monthly services inflation rate by 0.02 to 0.03 percentage point; (v) there is evidence that cost-push pressures, due to wage increases in the service sector, are more important to explain services inflation than demand pressures from early 2009 to mid-2014.
机译:本文以2004年1月至2016年2月的月度数据为重点,分析了巴西的服务通胀动态,重点是“服务通胀持久性难题”。我们通过卡尔曼滤波器应用时变参数(TVP)方法来估计混合菲利普斯曲线和比较可贸易商品和服务通胀的通胀惯量。巴西扩展的居民消费价格指数综合通胀率作为基准。为了证明TVP分析的合理性,基于OLS和广义矩(GMM)框架实施了参数不稳定性和结构更改测试。主要结果如下:(i)由于在某些估计参数中观察到的不稳定性,TVP方法是相关的; (ii)通货膨胀预期系数在所有计算中均高于滞后通货膨胀,但通货膨胀惯性一点也不可忽略; (iii)服务业通货膨胀的持续性在27%至36%之间,而可贸易商品通货膨胀的持续性在36%至47%之间,这为巴西的服务业通货膨胀持续性难题提供了证据; (iv)从2009年起,实际工资提高1个百分点,每月服务通货膨胀率提高0.02至0.03个百分点; (v)有证据表明,由于服务业工资上涨而导致的成本推动压力,比起2009年初至2014年中期的需求压力,更能解释服务价格上涨。

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