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Fiscal sustainability in India: evidence from Markov switching and threshold regression models

Vaseem Akram (Department of Liberal Arts, Indian Institute of Technology Hyderabad, Hyderabad, India)
Badri Narayan Rath (Department of Liberal Arts, Indian Institute of Technology Hyderabad, Hyderabad, India)

Studies in Economics and Finance

ISSN: 1086-7376

Article publication date: 4 July 2019

Issue publication date: 7 June 2021

481

Abstract

Purpose

The purpose of this study is to examine the fiscal sustainability issue by dividing the fiscal deficit into high and low regimes using the quarterly data from 1997: Q1 to 2013: Q3. Further, we obtain the optimum level of public debt at which fiscal sustainability can be achieved.

Design/methodology/approach

This study uses the Markov Switching-Vector Error Correction Model (MS-VECM) for examining fiscal sustainability and threshold regression model to obtain the optimum level of debt.

Findings

The results derived from MS-VECM reveal the evidence in favor of fiscal sustainability during low fiscal deficit periods. Similarly, using a threshold regression model, the optimum public debt as a percentage to GDP seems to be around 21 per cent on a quarterly basis, beyond this level, public debt hurts economic growth.

Practical implications

From the policy front, the government of India should cut down the fiscal deficit only if debt reaches beyond a threshold level.

Originality/value

Noting that the vast literature has focused on examining the fiscal sustainability in India, the novelty of this study is to examine the fiscal sustainability by considering high and low deficits regimes using a non-linear approach.

Keywords

Acknowledgements

The authors gratefully acknowledge the comments and suggestions received from the editor and four anonymous reviewers in the earlier draft of this paper. The usual disclaimer applies.

Citation

Akram, V. and Rath, B.N. (2021), "Fiscal sustainability in India: evidence from Markov switching and threshold regression models", Studies in Economics and Finance, Vol. 38 No. 2, pp. 227-245. https://doi.org/10.1108/SEF-09-2018-0281

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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