Arbeitspapier
Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?
How large are government spending and tax multipliers? The fiscal proxy-SVAR literature provides heterogenous estimates, depending on which proxies - fiscal or non-fiscal - are used to identify fiscal shocks. We reconcile the existing estimates via a flexible vector autoregressive model that allows to achieve identification in presence of a number of structural shocks larger than that of the available instruments. Our two main findings are the following. First, the estimate of the tax multiplier is sensitive to the assumption of orthogonality between total factor productivity (non-fiscal proxy) and tax shocks. If this correlation is assumed to be zero, the tax multiplier is found to be around one. If such correlation is non-zero, as supported by our empirical evidence, we find a tax multiplier three times as large. Second, we find the spending multiplier to be robustly larger than one across different models that feature different sets of instruments. Our results are robust to the joint employment of different fiscal and non-fiscal instruments.
- Language
-
Englisch
- Bibliographic citation
-
Series: CESifo Working Paper ; No. 8438
- Classification
-
Wirtschaft
Model Evaluation, Validation, and Selection
Fiscal Policy
- Subject
-
fiscal multipliers
fiscal policy
identification
instruments
structural vector autoregressions
- Event
-
Geistige Schöpfung
- (who)
-
Angelini, Giovanni
Caggiano, Giovanni
Castelnuovo, Efrem
Fanelli, Luca
- Event
-
Veröffentlichung
- (who)
-
Center for Economic Studies and Ifo Institute (CESifo)
- (where)
-
Munich
- (when)
-
2020
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Angelini, Giovanni
- Caggiano, Giovanni
- Castelnuovo, Efrem
- Fanelli, Luca
- Center for Economic Studies and Ifo Institute (CESifo)
Time of origin
- 2020