2018
DOI: 10.1016/j.jce.2018.03.002
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Disentangling political and institutional determinants of budget forecast errors: A comparative approach

Abstract: This paper provides a unique comparison between French and Portuguese local governments with respect to the nature and determinants of budget forecast errors. It starts by documenting and comparing their statistical properties. The results point at biased and inefficient budget forecasts, which seem to have been more cautious in French departments than in Portuguese municipalities. Second, we examine the political, institutional and economic determinants of forecast biases. Overall, we find that they are essen… Show more

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Cited by 18 publications
(27 citation statements)
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References 50 publications
(75 reference statements)
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“…underestimates the budget balance) in order to show its competence by being able to do unexpected expansionary fiscal policies. The former view is supported, for instance, by Boylan [45] with respect to optimistic revenue forecasts in US states from 1988 to 2004; by Heinemann [46] with respect to optimistic deficit forecasts for Germany’s federal budget from 1969 to 2003; and, more recently, by Boukari and Veiga [47] with respect to optimistic budget forecasts (both revenue and expenditures) in France and Portugal from 1998-2015. Brück and Stephan [48] posit that the Stability and Growth Pact may actually have spurred forecast optimism in the eurozone.…”
Section: Methodsmentioning
confidence: 97%
“…underestimates the budget balance) in order to show its competence by being able to do unexpected expansionary fiscal policies. The former view is supported, for instance, by Boylan [45] with respect to optimistic revenue forecasts in US states from 1988 to 2004; by Heinemann [46] with respect to optimistic deficit forecasts for Germany’s federal budget from 1969 to 2003; and, more recently, by Boukari and Veiga [47] with respect to optimistic budget forecasts (both revenue and expenditures) in France and Portugal from 1998-2015. Brück and Stephan [48] posit that the Stability and Growth Pact may actually have spurred forecast optimism in the eurozone.…”
Section: Methodsmentioning
confidence: 97%
“…For example, Boylan (2008) finds an important political influence: budgets in the year ending right before an election or starting before an election tend to be based on optimistic forecasts. Likewise, comparing French and Portuguese local governments, Boukari and Veiga (2019) find that budget forecasts are biased (though seem to have been more cautious in French departments than in Portuguese municipalities). They also find that these biases are essentially driven by electoral motivations and institutional differences.…”
Section: Name This As 'Political Forecastmentioning
confidence: 95%
“…French and Portuguese local governments, Boukari and Veiga (2019) find that budget forecasts are biased (though seem to have been more cautious in French departments than in Portuguese municipalities). They also find that these biases are essentially driven by electoral motivations and institutional differences.…”
Section: Introductionmentioning
confidence: 93%
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“…1 Fiscal rules have been often evoked as a useful tool to curb fiscal indiscipline, especially of local authorities, and to prevent biased budget estimates that are responsible for excessive deficit (Von Hagen and Harden, 1994;Alesina and Perotti, 1996;Frankel, 2011;Chatagny and Soguel, 2012;Frankel and Schreger, 2013). Systematic biased formulation of fiscal variables has indeed important drawbacks in the creation of structural deficit and public debt accumulation to the detriment of local welfare (Boukari and Veiga, 2018) and long-term national fiscal sustainability. However, fiscal rules have been accused of forcing discretionary pro-cyclical fiscal policy (Marinheiro, 2008) and creating "window dressing" measures (Milesi-Ferretti, 2004;Balduzzi and Grembi, 2011) and excessive optimism in official budget forecasts (Frankel, 2011;Frankel and Schreger, 2013), especially in the run-up to elections (Brück and Stephan, 2006;Pina and Venes, 2011).…”
Section: Introductionmentioning
confidence: 99%