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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... -
Oil prices, gasoline prices, and inflation expectations (replication data)
It has long been suspected, given the salience of gasoline prices, that fluctuations in gasoline prices shift households' 1-year inflation expectations. Assessing this view... -
Large devaluations and inflation inequality: Replicating Cravino and Levchenk...
In the aftermath of large devaluations, prices of tradable goods/lower-priced varieties increase significantly more than the prices of nontradables/higher-priced varieties.... -
CONSTRUCTING OPTIMAL DENSITY FORECASTS FROM POINT FORECAST COMBINATIONS (repl...
Decision makers often observe point forecasts of the same variable computed, for instance, by commercial banks, IMF and the World Bank, but the econometric models used by such... -
Modelling multi-period inflation uncertainty using a panel of density forecas...
This paper examines the determinants of inflation forecast uncertainty using a panel of density forecasts from the Survey of Professional Forecasters (SPF). Based on a dynamic... -
Disaggregate evidence on the persistence of consumer price inflation (replica...
This paper uses disaggregate inflation data spanning all of consumption to examine: (i) the persistence of disaggregate inflation relative to aggregate inflation; (ii) the... -
Output and inflation in the long run (replication data)
Cross-country regressions explaining output growth often obtain a negative effect from inflation. However, that result is not robust, due to the selection of countries in...
