This paper estimates and analyzes multipliers for tax revenue and public spending for Colombia using structural autoregressive vectors and local projections models. Quarterly series of the central national government between 2000Q1 and 2018Q4 are used. The results show fiscal multipliers that...

We estimate the fiscal multiplier associated with shocks to government spending. We consider increases in government spending in the U.S. states in the wake of natural disasters to capture spending shocks that are both unexpected and unrelated to the preceding state of the economy. We find that...

We investigate the macroeconomic effects of government spending shocks in Korea. We compare results obtained with two alternative approaches: the narrative approach and Structural Vector-Autoregressive model (SVAR). We propose a new methodology for identifying exogenous and unexpected fiscal...

We investigate the short-term effects of fiscal adjustment on economic activity in 20 OECD countries from 1970 to 2009. We compare two approaches: the traditional approach based on changes in cyclically adjusted primary balance (CAPB) and the narrative approach based on historical records....

We investigate the short-term effects of fiscal adjustment on economic activity in 20 OECD countries from 1970 to 2009. We compare two approaches: the traditional approach based on changes in cyclically adjusted primary balance (CAPB) and the narrative approach based on historical records....

We investigate the macroeconomic effects of government spending shocks in Korea. We compare results obtained with two alternative approaches: the narrative approach and Structural Vector-Autoregressive model (SVAR). We propose a new methodology for identifying exogenous and unexpected fiscal...

This article explores the multiplier effects on domestic product, employment, and the external sector of the US economy due to the decline of tourism activities during the pandemic. For this purpose, we use an input-output model and the latest available input-output data from the Organisation...