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The benefits of forecasting inflation with machine learning: New evidence (re...
This is the replication package for "The benefits of forecasting inflation with machine learning: New evidence" by A. Naghi, E. O'Neill, and M. Zaharieva, Journal of Applied... -
Forecasting and stress testing with quantile vector autoregression (replicati...
Replication materials for "Forecasting and stress testing with quantile vector autoregression" by S. Chavleishvili and S. Manganelli, Journal of Applied Econometrics, 2023,... -
Reassessing growth vulnerability (replication data)
This paper replicates the results of Adrian et al. (2019) that GDP growth volatility is mainly driven by the lower quantiles of the distribution which is predicted by the... -
Nowcasting from cross-sectionally dependent panels (replication data)
This archive contains the replication files. All codes and data are provided. There are three folders corresponding to the simulation study and two empirical applications of the... -
Testing Investment Forecast Efficiency with Forecasting Narratives
I analyze the narratives that accompany business cycle forecasting reports of three German institutes using topic models. To this end, I gather multiple similar topics into...
