BUCCAC
Financiado
Business Cycle Causes and Consequences
Business cycles impact on a large cross-section of the population simultaneously and matters for welfare. Gordon Brown stated in 2002: There will be no return to boom and bust but in 2007/08 the Global Financial Crisis triggered t...
Business cycles impact on a large cross-section of the population simultaneously and matters for welfare. Gordon Brown stated in 2002: There will be no return to boom and bust but in 2007/08 the Global Financial Crisis triggered the Great Recession, the deepest recession since the 1930s. Mainstream macro (representative agents, complete markets, competitive/monopolistic behavior, full information) was criticized rightly or wrongly for failing to predict the crisis. But the field is now undergoing a significant change introducing financial frictions, partial information, heterogeneous agents, non-competitive behavior etc. to study macroeconomic fluctuations. This high-risk project will make fundamental contributions to this new agenda and will do so in an ambitious and unusual integrative fashion using both empirical and theoretical approaches.
The proposal has three aims each of which has several sub-projects. The first focuses on methods for dynamic causal analysis. We develop methods for dynamic causal analysis in the face of permanent and transitory shocks using external instruments. The second provides new evidence on the sources of business cycles and their propagation. We examine the dynamic macroeconomic effects of market power by producing a new narrative record of regulatory changes. We will also study the macroeconomic impact of expectational shocks unrelated to fundamental shocks. The third aim builds quantitative theory. Dynamic general equilibrium models will be used understand the impact of market power focusing on intangible customer market effects. We apply heterogeneous agents models with aggregate shocks to examine financial frictions and macro prudential regulation in models with idiosyncratic risk. We study expectations-driven fluctuations in incomplete markets models. We estimate models with incomplete markets and price rigidities which provides a contribution across the three aims.
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Duración del proyecto: 63 meses
Fecha Inicio: 2020-09-07
Fecha Fin: 2025-12-31
Fecha Fin: 2025-12-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2020-09-07
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2019-ADG:
ERC Advanced Grant
Cerrada
hace 5 años
Presupuesto
El presupuesto total del proyecto asciende a
2M€
Líder del proyecto
UNIVERSITY COLLEGE LONDON
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
493.33K€ |
Participante