Models of Inflation Expectations Formation: A Comparison of Household and Economist Forecasts

1983 ◽  
Vol 15 (2) ◽  
pp. 155 ◽  
Author(s):  
Edward M. Gramlich
Keyword(s):  
Inflation Expectations ◽  
Expectations Formation

scholarly journals The Formation of Expectations, Inflation, and the Phillips Curve

2018 ◽  
Vol 56 (4) ◽  
pp. 1447-1491 ◽  
Author(s):  
Olivier Coibion ◽  
Yuriy Gorodnichenko ◽  
Rupal Kamdar
Keyword(s):  
Survey Data ◽  
Rational Expectations ◽  
Phillips Curve ◽  
Rational Expectation ◽  
New Keynesian ◽  
Inflation Expectations ◽  
Full Information ◽  
Macroeconomic Modeling ◽  
Expectations Formation

This paper argues for a careful (re)consideration of the expectations formation process and a more systematic inclusion of real-time expectations through survey data in macroeconomic analyses. While the rational expectations revolution has allowed for great leaps in macroeconomic modeling, the surveyed empirical microevidence appears increasingly at odds with the full-information rational expectation assumption. We explore models of expectation formation that can potentially explain why and how survey data deviate from full-information rational expectations. Using the New Keynesian Phillips curve as an extensive case study, we demonstrate how incorporating survey data on inflation expectations can address a number of otherwise puzzling shortcomings that arise under the assumption of full-information rational expectations. (JEL D04, E24, E27, E31, E37)

scholarly journals Consumer's inflation expectations in Brazil

2017 ◽  
Vol 47 (3) ◽  
pp. 509-529
Author(s):  
Fernando Ormonde Teixeira ◽  
Ingrid Christyne Luquett de Oliveira ◽  
Pedro Costa Ferreira
Keyword(s):  
Forecast Accuracy ◽  
Major Elements ◽  
Inflation Expectations ◽  
Consumer Survey ◽  
Micro Data ◽  
The Past ◽  
Expectations Formation ◽  
The Media ◽  
Main Components ◽  
Media Data

Abstract This paper investigates what are the main components of consumer's inflation expectations. We combine the FGV's Consumer Survey with the indices of inflation (IPCA and government regulated prices), professional forecasts disclosed in the Focus report, and media data which we crawl from one of the biggest and most important Brazilian newspapers, Folha de São Paulo, to determine what factors are responsible for and improve consumer's forecast accuracy. We found gender, age and city of residence as major elements when analyzing micro-data. Aggregate data shows the past inflation as an important trigger in the formation of consumers' expectations and professional forecasts as negligible. Moreover, the media plays a significant role, accounting not only for the expectations' formation but for a better understanding of actual inflation as well.

scholarly journals INFLATION EXPECTATIONS AND MONETARY POLICY DESIGN: EVIDENCE FROM THE LABORATORY

2016 ◽  
Vol 22 (4) ◽  
pp. 1035-1075 ◽  
Author(s):  
Damjan Pfajfar ◽  
Blaž Žakelj
Keyword(s):  
Monetary Policy ◽  
Laboratory Experiments ◽  
Policy Design ◽  
New Keynesian ◽  
Inflation Expectations ◽  
Central Question ◽  
Policy Regime ◽  
Expectations Formation ◽  
Reaction Coefficient ◽  
Inflation Variability

Using laboratory experiments within a New Keynesian framework, we explore the interaction between the formation of inflation expectations and monetary policy design. The central question in this paper is how to design monetary policy when expectations formation is not perfectly rational. Instrumental rules that use actual rather than forecasted inflation produce lower inflation variability and reduce expectational cycles. A forward-looking Taylor rule where a reaction coefficient equals 4 produces lower inflation variability than rules with reaction coefficients of 1.5 and 1.35. Inflation variability produced with the latter two rules is not significantly different. Moreover, the forecasting rules chosen by subjects appear to vary systematically with the policy regime, with destabilizing mechanisms chosen more often when inflation control is weaker.

Infrastructure mortgage in Russia: Opportunities and prospects

2019 ◽  
pp. 114-133
Author(s):  
G. I. Idrisov ◽  
Y. Yu. Ponomarev
Keyword(s):  
Federal Government ◽  
Public Debt ◽  
Budget Deficit ◽  
Expert Assessment ◽  
Inflation Expectations ◽  
Direct Impact ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Negative Effect

The article shows that depending on the goals pursued by the federal government and the available interbudgetary tools a different design of infrastructure mortgage is preferable. Three variants of such mortgage in Russia are proposed, each of which is better suited for certain types of projects and uses different forms of subsidies. According to our expert assessment the active use of infrastructure mortgage in Russia can increase the average annual GDP growth rate by 0.5 p. p. on the horizon of 5—7 years. In the long run the growth of infrastructure financing through the use of infrastructure mortgage could increase long-term economic growth by 0.9 p. p., which in 20—30 years can add 20—30% of GDP to the economy. However, the change in the structure of budget expenditures in the absence of an increase in the budget deficit and public debt will cause no direct impact on monetary policy. The increase in the deficit and the build-up of public debt will have a negative effect on inflation expectations, which will require monetary tightening for a longer time to stabilize them.

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