This paper studies the implications of adaptive learning in the modelling of inter-country linkages in a two-region MSG G-cubed model built on micro-founded behaviors of firms and households. The nature of the transmission process under rational expectations versus adaptive learning is explored. We investigate the propagation mechanism within and across borders for various shocks and policy changes within the United States: change in inflation target, fiscal policy, productivity shock, and rise in equity risk. Adaptive learning is found to change the short run sign of transmission in most cases but this also depends on the fraction of forward-looking agents in the economy
39 p.This paper develops a simple two-country, two-good model of international trade and borrowing ...
AbstractWhat is the impact of surprise and anticipated policy changes when agents form expectations ...
This paper presents an estimated model with learning and provides evidence that learning can improve...
The objective of this thesis is to explore the implications of learning as an alter- native expecta...
International audienceThis paper develops a simple business-cycle model in which financial shocks ha...
1 Abstract: This paper develops a simple business-cycle model in which financial shocks have large m...
The rational expectations hypothesis (REH) has long served as a foundation in macroeconomic laws of ...
A key feature of modern macroeconomic modelling is the expectations of economic agents. Since expect...
This paper examines the empirical significance of learning, a type of adaptive, boundedly rational e...
This study explores the macroeconomic implications of adaptive expectations in a standard real busin...
ABSTRACT: Agents can learn from financial markets to predict macroeconomic outcomes and learning dyn...
This study explores the macroeconomic implications of adaptive expectations in a standard growth mod...
This paper examines the government spending multiplier when economic agents form their expectations ...
This thesis studies implications of different learning mechanisms in various monetary environments. ...
This chapter provides a survey of the recent work on learning in the context of macroeconomics. Lear...
39 p.This paper develops a simple two-country, two-good model of international trade and borrowing ...
AbstractWhat is the impact of surprise and anticipated policy changes when agents form expectations ...
This paper presents an estimated model with learning and provides evidence that learning can improve...
The objective of this thesis is to explore the implications of learning as an alter- native expecta...
International audienceThis paper develops a simple business-cycle model in which financial shocks ha...
1 Abstract: This paper develops a simple business-cycle model in which financial shocks have large m...
The rational expectations hypothesis (REH) has long served as a foundation in macroeconomic laws of ...
A key feature of modern macroeconomic modelling is the expectations of economic agents. Since expect...
This paper examines the empirical significance of learning, a type of adaptive, boundedly rational e...
This study explores the macroeconomic implications of adaptive expectations in a standard real busin...
ABSTRACT: Agents can learn from financial markets to predict macroeconomic outcomes and learning dyn...
This study explores the macroeconomic implications of adaptive expectations in a standard growth mod...
This paper examines the government spending multiplier when economic agents form their expectations ...
This thesis studies implications of different learning mechanisms in various monetary environments. ...
This chapter provides a survey of the recent work on learning in the context of macroeconomics. Lear...
39 p.This paper develops a simple two-country, two-good model of international trade and borrowing ...
AbstractWhat is the impact of surprise and anticipated policy changes when agents form expectations ...
This paper presents an estimated model with learning and provides evidence that learning can improve...