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Business and Economics > Production and Operations Management

You are looking at 1 - 3 of 3 items for :

  • Type: Journal Issue x
  • Econometric and Statistical Methods: General x
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Cover IMF Working Papers
Mending the Crystal Ball: Enhanced Inflation Forecasts with Machine Learning
Yang Liu
,
Ran Pan
, and
Rui Xu
Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting performance by incorporating a wider range of variables, allowing for non-linear relationships, and focusing on out-of-sample performance. In this paper, we apply machine learning (ML) models to forecast near-term core inflation in Japan post-pandemic. Japan is a challenging case, because inflation had been muted until 2022 and has now risen to a level not seen in four decades. Four machine learning models are applied to a large set of predictors alongside two benchmark models. For 2023, the two penalized regression models systematically outperform the benchmark models, with LASSO providing the most accurate forecast. Useful predictors of inflation post-2022 include household inflation expectations, inbound tourism, exchange rates, and the output gap.
Keywords:
Core inflation; forecasting; machine learning models; LASSO; Japan; household inflation expectation; forecasting inflation; machine learning method; Annex I. machine learning; enhanced inflation; Inflation; Machine learning; Econometric models; Output gap
Cover IMF Working Papers
Reading the Stars
Peter D. Williams
,
Mr. Yasser Abdih
, and
Emanuel Kopp
Following the global financial crisis, significant uncertainty has existed around the U.S. economy’s steady state equilibrium. This paper uses a factor model to provide a new approach to estimating “the stars” (i.e. the neutral interest rate, maximum employment, and the level and growth rate of potential output) that are most consistent with a medium-term equilibrium where inflation converges to the FOMC’s two percent target. It is applicable to any country with an inflation targeting central bank. It also explicitly incorporates estimates of the extensive margin of slack in the labor market, which has proven to be an important factor in describing the post-financial crisis landscape.
Keywords:
WP; output gap estimate; PCE inflation; inflation gap; inflation expectation; output gap estimation certainty
Cover IMF Working Papers
Understanding DSGE Filters in Forecasting and Policy Analysis
Michal Andrle
This paper introduces methods that allow analysts to (i) decompose the estimates of unobserved quantities into observed data, (ii) to better understand revision properties of the model, and (iii) to impose subjective prior constraints on path estimates of unobserved shocks in structural economic models. For instance, a decomposition of the flexible-price output gap, or a technology shock, into contributions of output, inflation, interest rates, and other observed variables' contribution is feasible. The intuitive nature and analytical clarity of the suggested procedures are appealing for policy-related and forecasting models.
Keywords:
WP