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The Predictability of Macroeconomic Fluctuations: Methods and Empirical Analysis

The Predictability of Macroeconomic Fluctuations: Methods and Empirical Analysis
宏观经济波动的可预测性:方法与实证分析
批准号:
8910601
负责人:
Mark Watson
金额:
$17.22万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1989
资助国家:
美国
项目状态:
已结题
起止时间:
1989-08-01 至 1992-07-31

项目摘要

项目成果

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中文摘要
翻译
关于美国经济演变的大部分了解都是基于对单个总体时间序列或关键序列之间关系的行为的统计描述。 该项目继续并扩展了之前量化总波动来源的工作。 它由三部分组成。 第一个主要是实证的,重点关注人力资本积累(边干边学)作为短期波动产生永久性影响的机制的作用。 第二个也主要是经验性的,涉及衰退和扩张的可预测性(而不是简单地增长率水平的波动)以及这种可预测性对经济理论的影响。 第三个主要是理论计量经济学,并开发用于推断时间序列变量积分阶数的技术。 该项目对经济学做出了重要的方法论和实质性贡献。 该项目的第一部分对长期增长与传统上被视为纯粹暂时的冲击(例如货币政策或偏好的暂时变化)之间的联系进行了首次系统的实证研究。 这对于我们理解经济波动的来源和传导具有重要意义。 第二部分以最近旨在制定修订后的先行经济指标指数的联合工作为基础。 它可以更好地预测未来的衰退和扩张。 第三部分提供了将时间序列方法应用于经济问题的新工具。
英文摘要
Much of what is known about the evolution of the U.S. economy is based on statistical descriptions of the behavior of individual aggregate time series or of the relations among key series. This project continues and expands previous work on quantifying the sources of aggregate fluctuations. It consists of three parts. The first is primarily empirical, and focuses on the role of human capital accumulation (learning-by-doing) as a mechanism whereby short-run fluctuations have permanent effects. The second is also primarily empirical and concerns the predictability of recessions and expansions (as opposed simply to fluctuations in levels of growth rates) and the implications of this predictability for economic theory. The third is primarily one of theoretical econometrics and develops techniques for inference about orders of integration of time series variables. This project makes important methodological and substantive contributions to economics. The first part of the project provides one of the first systematic empirical investigations of the link between long-run growth and shocks traditionally viewed as purely temporary such as transitory shifts in monetary policy or in preferences. This has important implications for our understanding of the sources and the transmission of economic fluctuations. The second part builds on recent joint work aimed at developing a revised Index of Leading Economic Indicators. It could provide better predictions of future recessions and expansions. The third part yields new tools for applying time series methods to economic problems.
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Scholars Program for Environmental Challenges
  • 批准号:
    1930362
  • 项目类别:
    Standard Grant
  • 资助金额:
    $64.84万
  • 财政年份:
    2019
  • 负责人:
    Mark Watson
  • 依托单位:
Sterically Hindered Polymers for Organic Photovoltaic Applications (OPV)
Organic Conjugated Polymers Composed of Alternating Non-Fluorinated and Fluorinated Units: Novel Syntheses and Structure-Property Studies
SBIR Phase I: Highly Specific Nanoparticle Gas Sensors: HCN and SO2
  • 批准号:
    0320360
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2003
  • 负责人:
    Mark Watson
  • 依托单位:
海外基金