Rational Economic Data Revisions
研究如何高效处理临时经济时间序列数据，基于可检验假设推导测量误差的方差表达式，并开发了用于递归信号估计的双重滤波器，应用于加拿大生产指数数据。
The efficient handling of provisional economic time series data is considered. Procedures are justified in terms of a testable hypothesis regarding the nature of data revisions. The hypothesis leads to explicit and practical variance expressions for measurement errors. Testing and estimation issues are dealt with. An efficient dual filter is developed for recursive signal estimation. Techniques are applied to the Canadian index of production data.