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Persistence in Economic Time Series: Interpretation, Measurement and Inference

Persistence in Economic Time Series: Interpretation, Measurement and Inference
经济时间序列的持久性:解释、测量和推理
批准号:
DP0208333
负责人:
Prof Gael Martin
金额:
$5.24万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2002
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2002-01-01 至 2005-06-30

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中文摘要
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英文摘要
An economic time series is said to be persistent if shocks to the series have a permanent effect. Accurate and unambiguous inferences regarding persistence are crucial to an understanding of the response of the variable to shocks, in particular to policy-induced shocks. In this project we will explore new ways of interpreting, measuring and conducting inference on persistence. The aim is to produce significant theoretical and methodological advances which, when applied to empirical problems, will enable reliable conclusions to be drawn regarding the propagation of shocks and, hence, the likely impact of interventionist government policies.
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The validation of approximate Bayesian computation
  • 批准号:
    DP170100729
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $27.42万
  • 财政年份:
    2017
  • 负责人:
    Prof Gael Martin
  • 依托单位:
Approximate Bayesian computation in state space models
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    DP150101728
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $19.12万
  • 财政年份:
    2015
  • 负责人:
    Prof Gael Martin
  • 依托单位:
A Bayesian State Space Methodology for Forecasting Stock Market Volatility and Associated Time-varying Risk Premia
  • 批准号:
    FT0991045
  • 项目类别:
    ARC Future Fellowships
  • 资助金额:
    $59.51万
  • 财政年份:
    2010
  • 负责人:
    Prof Gael Martin
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Non-parametric estimation of forecast distributions in non-Gaussian state space models
  • 批准号:
    DP0985234
  • 项目类别:
    Discovery Projects
  • 资助金额:
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  • 财政年份:
    2009
  • 负责人:
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  • 依托单位:
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