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3031 Results

Non-Parametric and Neural Network Models of Inflation Changes

Staff Working Paper 2000-7 Greg Tkacz
Previous studies have shown that interest rate yield spreads contain useful information about future changes in inflation. However, such studies have for the most part focused on linear models, ignoring potential non-linearities between interest rates and inflation.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Inflation and prices JEL Code(s): C, C5, C51, E, E3, E31

Does Unconventional Monetary and Fiscal Policy Contribute to the COVID Inflation Surge in the US?

Staff Working Paper 2024-38 Jing Cynthia Wu, Yinxi Xie, Ji Zhang
We assess whether unconventional monetary and fiscal policy implemented in response to the COVID-19 pandemic in the U.S. contribute to the 2021-2023 inflation surge through the lens of several different empirical methodologies and establish a null result.

Assessing global potential output growth and the US neutral rate: April 2023

We expect global potential output growth to increase from 2.5% in 2022 to 2.8% by 2026. Compared with the April 2022 staff assessment, global potential output growth is marginally slower. The current range for the US neutral rate is 2% to 3%, unchanged from the last annual assessment.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Interest rates, Monetary policy, Potential output, Productivity JEL Code(s): E, E1, E2, E4, E5, F, F0, O, O4

Structural Inflation Models with Real Wage Rigidities: The Case of Canada

Staff Working Paper 2009-21 Jean-Marie Dufour, Lynda Khalaf, Maral Kichian
Real wage rigidities have recently been proposed as a way of building intrinsic persistence in inflation within the context of New Keynesian Phillips Curves. Using two recent illustrative structural models, we evaluate empirically the importance of real wage rigidities in the data and the extent to which such models provide useful information regarding price stickiness.

Effectiveness of Capital Controls in India: Evidence from the Offshore NDF Market

Staff Working Paper 2011-29 Michael Hutchison, Gurnain Pasricha, Nirvikar Singh
This paper examines the effectiveness of international capital controls in India over time by analyzing daily return differentials in the non-deliverable forward (NDF) markets using the self-exciting threshold autoregressive (SETAR) methodology.
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