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This paper examines the degree of persistence in UK inflation by applying long-memory methods to historical data that span the period from 1660 to 2016. Specifically, we use both parametric and non-parametric fractional integration techniques, that are more general than those based on the...
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The positive relationship between inflation and inflation uncertainty is well supported by empirical evidence in the literature. However, this does not answer the question of whether the inflation causes the inflation uncertainty and vice versa or both in the Granger sense. The empirical...
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India. Although these techniques were already in use in the early 2000s, they were largely ignored for a long time in the … major finding of this article confirms the viability of employing machine learning techniques to forecast inflation in India …
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This article contributes new time series for studying the UK economy during World War I and the interwar period. The time series are per capita hours worked and average capital income, labor income, and consumption tax rates. Uninterrupted time series of these variables are provided for an...
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Monetary policy research using time series methods has been criticized for using more information that the Federal Reserve had available in setting policy. To quantify the role of this criticism, we propose a method to estimate a VAR with real-time data while accounting for the latent nature of...
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The unprecedented fiscal and monetary policy responses during the COVID-19 crisis have increased uncertainty about inflation. During crises periods, the strength of the transmission of inflation uncertainty shocks from one country to another tends to intensify. This paper examines empirical...
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