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Revenue Forecasting Practices: Differences across Countries and ...

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Uncertainty about revenues also stems from changes in the tax law. Already the immediate “me-<br />

chanical” effects of tax law changes are often difficult to estimate. In addition, changes in the tax<br />

law exert all sorts of behavioral effects with revenue consequences that are hard to quantify. 8 This<br />

implies that revenue forecasts tend to be much more difficult in the presence of tax-law changes.<br />

While this may suggest to somehow capture revenue effects of major tax reforms, we have not<br />

been able to collect data on revenue estimates for tax reforms. But, we should note that there<br />

is also uncertainty about which tax law changes will actually be implemented. In some countries,<br />

it is common practice not only to include in the revenue forecasts those tax law changes that<br />

are already enacted but also to include changes that are agreed within the government (Austria,<br />

Netherl<strong>and</strong>s) or noted in the budget plan (Irel<strong>and</strong>). If these changes are postponed, amended, or<br />

withdrawn, large forecast errors may occur even if the revenue estimate of the reform which was<br />

initially intended was correct.<br />

4 Institutions <strong>and</strong> Independence<br />

A basic institutional aspect of revenue forecasting is the assignment of the forecasting task to<br />

specific institutions. Interestingly, forecasting is not always assigned to a department of the gov-<br />

ernment or, more precisely, to the executive branch of the government. Only in about half of<br />

the thirteen forecasts surveyed in this paper it is the Ministry of Finance (Belgium, France, Italy,<br />

Irel<strong>and</strong>, Japan) or the Treasury (United Kingdom, New Zeal<strong>and</strong>) that is responsible. 9 In most<br />

other cases forecasting is assigned to a group representing different institutions, not only from the<br />

8 For a discussion of “dynamic scoring” in revenue estimation see Adam <strong>and</strong> Bozio (2009) <strong>and</strong> Auerbach (2005).<br />

9 For a detailed list of sources for the various forecasts covered see Appendix.<br />

13

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