Simplify and Improve: Revisiting Bulgaria’s Revenue Forecasting Models Cover Image

Simplify and Improve: Revisiting Bulgaria’s Revenue Forecasting Models
Simplify and Improve: Revisiting Bulgaria’s Revenue Forecasting Models

Author(s): Fabio Ashtar Telarico
Subject(s): Economy, National Economy, Public Finances
Published by: Институт за икономически изследвания при Българска академия на науките
Keywords: tax revenues; revenue forecasting; Bulgaria; econometric modelling

Summary/Abstract: In the thirty years since the end of real socialism, Bulgaria has gone from having a rather radically ‘different’ tax system to adopting flat-rate taxation with marginal tax rates falling from figures as high as 40% to 10% for both the corporate and personal income tax. Crucially, the econometric forecasting models in use at the Bulgarian Ministry of Finance hinted at an increase in tax revenue compatible with the so-called ‘Laffer curve’. Similarly, many economists held the view that revenues should increase. However, reality fell short of those expectations based on forecasting models and rooted in mainstream economic theory. Thus, this paper asks whether there are better-performing forecasting models for personal and corporate income tax revenues in Bulgaria that are readily implementable and overperform the ones currently in use. After articulating a constructive critique of the current forecasting models, the paper offers readily implementable, transparent alternatives and proves their superiority.

  • Issue Year: 2022
  • Issue No: 6
  • Page Range: 633-654
  • Page Count: 12
  • Language: English