Antoine Cornevin , Juan Sebastian Corrales , Juan Pablo Angel Mojica
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引用次数: 0
Abstract
Determining how economic growth affects tax revenues is crucial for fiscal sustainability, economic stabilization, and policy design. The current literature on tax buoyancy presents contrasting estimates, highlighting the need for a systematic discussion of the trade-offs associated with different estimators. This paper provides new empirical evidence by reviewing a range of panel data estimators in a large sample of 172 countries from 1990 to 2019. We find evidence of lower estimates for tax responses to economic activity in the short term relative to previous literature, suggesting a limited automatic stabilization power of tax systems. The heterogeneity in our results within and across income groups underscores the importance of choosing the appropriate estimator. Our results remain broadly unchanged when we introduce new control variables to disentangle discretionary from automatic tax revenue variations, indicating that economic cycles do not significantly influence the timing of tax policies.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.