Cross‐data‐vintage Encompassing*
研究数据修订下的模型比较与评估，提出跨数据版本包容检验，并通过蒙特卡洛模拟比较其有限样本性质与传统包容检验。
Abstract The issues of model comparison and evaluation in the presence of data revision are examined. The initial analysis revisits the model validity and data accuracy tests of Hendry [ Oxford Review of Economic Policy (1994) Vol. 10, pp. 86–106] to develop the concept of model and vintage coalescence (MVC). A taxonomy of MVC tests is proposed, with the finite‐sample properties of the tests examined via Monte Carlo simulation. The analysis proceeds to extend the encompassing principle [see Mizon and Richard, Econometrica (1986), Vol. 54, pp. 657–678; Contributions to Operations Research and Econometrics: The XXth Anniversary of CORE , Hendry and Richard (1989) MIT Press, Cambridge, MA] to permit the comparison of econometric models developed upon alternative vintages of data. The resulting cross‐data‐vintage encompassing tests are discussed, with their finite‐sample properties compared with those of conventional encompassing tests. The paper concludes by considering implications of the present analysis for econometric modelling.