Template-Type: ReDIF-Article 1.0
Author-Name: Roman S. Leukhin
Author-Email: leukhin@eeg.ru
Author-Workplace-Name: Economic Expert Group, Moscow 109012, Russia; Financial Research Institute, Moscow 127006, Russian Federation
Title: Short-Term Fiscal Projections Using Forecast Combination Approach
Abstract: In this paper the author compares a number of methods to forecast corporate income tax revenues in the next quarter: autoregressive integrated moving average, exponential smoothing, linear regression, naïve forecast, and combination approaches. Results show that the increase of the time period for the next quarter forecast error calculation leads to the increase of errors for individual models and arithmetic mean, and the decrease for combination approaches which consider forecast errors in previous periods. Linear regression with the MOEX Russia Index as explanatory variable provides the lowest error for the next quarter forecast for 5- and 10-quarter periods. The forecast combination approach, what takes into account the forecast error in previous 4 quarters, provides the best result for a period of 15 quarters, what is explained by diversification of forecast errors. This method can be successfully used for corporate income tax revenue projections and possibly for other budget revenues.
Classification-JEL: C22, C53, H20
Keywords: fiscal forecast, forecast combination, forecast accuracy, tax revenues, corporate income tax
Journal: Finansovyj žhurnal — Financial Journal
Pages: 9-21
Issue: 3
Year: 2019
Month: June
DOI: 10.31107/2075-1990-2019-3-9-21
File-URL: https://www.finjournal-nifi.ru/images/FILES/Journal/Archive/2019/3/statii/fm_2019_3_01.pdf
File-Format: Application/pdf 
Handle: RePEc:fru:finjrn:190301:p:9-21