We propose two specifications of a real-time mixed-frequency semi-structural time series model for evaluating the output potential, output gap, Phillips curve, and Okun's law for the US. The baseline model uses minimal theory-based multivariate identification restrictions to inform trend-cycle decomposition, while the alternative model adds the CBO's output gap measure as an observed variable. The latter model results in a smoother output potential and lower cyclical correlation between inflation and real variables but performs worse in forecasting beyond the short term. This methodology allows for the assessment and real-time monitoring of official trend and gap estimates.
翻译:我们提出了两种半结构化实时混合频率时间序列模型规范,用于评估美国的产出潜力、产出缺口、菲利普斯曲线和奥肯法则。基础模型使用最少的基于理论的多元识别限制来进行趋势-周期分解,而替代模型添加CBO的产出缺口测量作为一个观测变量,后者结果的产出潜力更加光滑,通货膨胀与实际变量的周期相关性更低,但在预测短期之外的期限时表现不佳。该方法允许评估和实时监测官方趋势和缺口估计的情况。