Data and Code for: The macroeconomic effects of oil supply news: Evidence from OPEC announcements
Principal Investigator(s): View help for Principal Investigator(s) Diego R. Känzig, London Business School
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
Kaenzig_replication | 12/16/2020 11:41:AM |
Project Citation:
Känzig, Diego R. Data and Code for: The macroeconomic effects of oil supply news: Evidence from OPEC announcements. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-03-19. https://doi.org/10.3886/E122886V1
Project Description
Summary:
View help for Summary
This repository contains the replication files for “The macroeconomic effects of oil supply news: Evidence from OPEC announcements”. The files are stored in the following folders:
- codes
- data
- instrument
- results
For detailed information on the data used as well as instructions on how to use the replication codes, see the README pdf file.
The main results of the project can be summarized as follows:
This paper studies how changes in oil supply expectations affect the oil price and the macroeconomy. Using a novel identification design, exploiting institutional features of OPEC and high-frequency data, I identify an oil supply news shock. These shocks have statistically and economically significant effects. Negative news leads to an immediate increase in oil prices, a gradual fall in oil production and an increase in inventories. This has consequences for the U.S. economy: activity falls, prices and inflation expectations rise, and the dollar depreciates - providing evidence for a strong channel operating through supply expectations.
Scope of Project
Subject Terms:
View help for Subject Terms
business cycles;
oil supply;
news shocks;
external instruments;
high-frequency identification;
OPEC announcements
JEL Classification:
View help for JEL Classification
C32 Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
E31 Price Level; Inflation; Deflation
E32 Business Fluctuations; Cycles
Q43 Energy and the Macroeconomy
C32 Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
E31 Price Level; Inflation; Deflation
E32 Business Fluctuations; Cycles
Q43 Energy and the Macroeconomy
Geographic Coverage:
View help for Geographic Coverage
United States
Time Period(s):
View help for Time Period(s)
1/1974 – 12/2017
Collection Date(s):
View help for Collection Date(s)
3/2018 – 12/2019
Universe:
View help for Universe
The global oil market and the U.S. economy between 1974 to 2017
Data Type(s):
View help for Data Type(s)
aggregate data
Methodology
Data Source:
View help for Data Source
Macroeconomic and financial data retrieved via FRED, Datastream, and the IFS. Please see the README file for detailed data references.
Unit(s) of Observation:
View help for Unit(s) of Observation
Monthly data
Geographic Unit:
View help for Geographic Unit
Country
Related Publications
Published Versions
Report a Problem
Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.
This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.