Version v1

Data and Code for: Business Cycle Anatomy

Angeletos, Marios;Collard, Fabrice;Dellas, Harris

Description

We propose a new strategy for dissecting the macroeconomic time series, provide a template for the business-cycle propagation mech- anism that best describes the data, and use its properties to ap- praise models of both the parsimonious and the medium-scale va- riety. Our findings support the existence of a main business-cycle driver but rule out the following candidates for this role: technology or other shocks that map to TFP movements; news about future productivity; and inflationary demand shocks of the textbook type. Models aimed at accommodating demand-driven cycles without a strict reliance on nominal rigidity appear promising.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

ICPSR - Interuniversity Consortium for Political and Social Research

Assigned Domain

Subfield

General Economics, Econometrics and Finance

Field

Economics, Econometrics and Finance

Domain

Social Sciences

Confidence Score

40%

Source

Scholar Data Model

Keywords

Business CycleVectorAutoregressionShocks

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00