Arbeitspapier

Budget credibility of subnational governments: Analyzing the fiscal forecasting errors of 28 states in India

Budget credibility, or the ability of governments to accurately forecast macro-fiscal variables, is crucial for effective public finance management. Fiscal marksmanship analysis captures the extent of errors in the budgetary forecasting. The fiscal rules can determine fiscal marksmanship, as effective fiscal consolidation procedures affect the fiscal behavior of the states in conducting the budgetary forecasts. Against this backdrop, applying Theil's technique, we analyze the fiscal forecasting errors for 28 states (except Telangana) in India for the period 2011-16. There is a heterogeneity in the magnitude of errors across subnational governments in India. The forecast errors in revenue receipts have been greater than revenue expenditure. Within revenue receipts, the errors are more significantly pronounced in the grants component. Within expenditure budgets, the errors in capital spending are found to be greater than revenue spending in all the states. Partitioning the sources of errors, we identified that the errors were more broadly random than due to systematic bias, except for a few crucial macro-fiscal variables where improving the forecasting techniques can provide better estimates.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 964

Klassifikation
Wirtschaft
Fiscal Policy
Forecasting Models; Simulation Methods
Thema
Forecast Errors
Fiscal Policies
Fiscal Forecasting
Political Economy
Fiscal Marksmanship

Ereignis
Geistige Schöpfung
(wer)
Chakraborty, Lekha
Chakraborty, Pinaki
Shrestha, Ruzel
Ereignis
Veröffentlichung
(wer)
Levy Economics Institute of Bard College
(wo)
Annandale-on-Hudson, NY
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Chakraborty, Lekha
  • Chakraborty, Pinaki
  • Shrestha, Ruzel
  • Levy Economics Institute of Bard College

Entstanden

  • 2020

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