DP9646 The Time for Austerity: Estimating the Average Treatment Effect of Fiscal Policy

Author(s): Òscar Jordà, Alan M. Taylor
Publication Date: September 2013
Date Revised: May 2014
Keyword(s): allocation bias, average treatment effect, booms, fiscal multipliers, identification, inverse probability weighting, local projection, matching, output fluctuations, propensity score, regression adjustment, Rubin causal model, slumps
JEL(s): C54, C99, E32, E62, H20, H5, N10
Programme Areas: International Macroeconomics
Link to this Page: cepr.org/active/publications/discussion_papers/dp.php?dpno=9646

After the Global Financial Crisis a controversial rush to fiscal austerity followed in many countries. Yet research on the effects of austerity on macroeconomic aggregates was and still is unsettled, mired by the difficulty of identifying multipliers from observational data. This paper reconciles seemingly disparate estimates of multipliers within a unified and state-contingent framework. We achieve identification of causal effects with new propensity-score based methods for time series data. Using this novel approach, we show that austerity is always a drag on growth, and especially so in depressed economies: a one percent of GDP fiscal consolidation translates into a loss of 4 percent of real GDP over five years when implemented in a slump, rather than just 1 percent in a boom. We illustrate our findings with a counterfactual evaluation of the impact of the UK government?s shift to austerity policies in 2010 on subsequent growth.