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- W3125355028 abstract "The use of log-transformed data has become standard in macroeconomic forecasting with VAR models. However, its appropriateness in the context of out-of-sample forecasts has not yet been exposed to a thorough empirical investigation. With the aim of filling this void, a broad sample of VAR models is employed in a multi-country set up and approximately 42 Mio. pseudo-out-of-sample forecasts of GDP are evaluated. The results show that, on average, the knee-jerk transformation of the data is at best harmless." @default.
- W3125355028 created "2021-02-01" @default.
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- W3125355028 date "2014-01-01" @default.
- W3125355028 modified "2023-09-27" @default.
- W3125355028 title "Log versus Level in VAR Forecasting: 42 Million Empirical Answers - Expect the Unexpected" @default.
- W3125355028 hasPublicationYear "2014" @default.
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