巴西地方政府投资:国家空间模型的估算与分析

Rodrigo Octávio Orair, Wesley J. Silva
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引用次数: 0

摘要

在对地方政府进行高频序列估算时,存在许多问题。空间状态模型(SSM)是一个能够处理这些问题的框架。从这种方法中产生的技术被用于估计2002-2011年巴西地方政府资本投资的月度序列。SSM还用于分析时间序列的动态特性。最有趣的结果之一是巴西市政和州投资的选举周期的新证据。这些技术可以很容易地推广到其他相关系列。这项工作的主要目的是提出一个方法框架,用于估计和分析巴西地方政府高频序列的发展。它为监测财政政策和应用宏观经济研究提供了一个有用的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subnational Government Investment in Brazil: Estimation and Analysis by State Space Models
There are many problems involved in estimating high frequency series for subnational governments. Space State Model (SSM) is a framework capable of handling some of these problems. The techniques that emerge from this approach are used to estimate monthly series for capital investments by subnational governments in Brazil during 2002-2011. SSM are also used to analyze the dynamic properties of time series. One of the most interesting results is the newly evidence of electoral cycles on investments of both municipalities and states in Brazil. These techniques might be easily generalized for other relevant series. The main objective of this work is to present a methodological framework for estimating and analyzing the development of high frequency series for Brazilians subnational governments. It offers a useful instrument for monitoring fiscal policy and for applied macroeconomic research.
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