Fiscal foresight -- the phenomenon that legislative and implementation lags ensure that private agents receive clear signals about the tax rates they face in the future -- is intrinsic to the tax policy process. This paper develops an analytical framework to study the econometric implications of...

We forecast New York state tax revenues with a mixed-frequency model using a number of machine learning techniques. We found boosting with two dynamic factors extracted from a select list of New York and U.S. leading indicators did best in terms of correctly updating revenues for the fiscal year...

Forecasts for the two or three years after mid-2014 have converged on growth rates of real GDP in the range of 3.0 to 3.5 percent, a major stepwise increase from realized growth of 2.1 percent between mid-2009 and mid-2014. However, these forecasts are based on the demand for goods and services....

We examine whether German state governments manipulated fiscal forecasts before elections. Our data set includes three fiscal measures over the period 1980-2014. The results do not show that electoral motives influenced fiscal forecasts in West German states. By contrast, East German state...

Why do countries find it so hard to get their budget deficits under control? Systematic patterns in the errors that official budget agencies make in their forecasts may play an important role. Although many observers have suggested that fiscal discipline can be restored via fiscal rules such as...

This paper conducts a broad-based comparison of iterated and direct multi-step forecasting approaches applied to both univariate and multivariate models. Theoretical results and Monte Carlo simulations suggest that iterated forecasts dominate direct forecasts when estimation error is a...

For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...

This paper is concerned with empirical and theoretical basis of the Efficient Market Hypothesis (EMH). The paper begins with an overview of the statistical properties of asset returns at different frequencies (daily, weekly and monthly), and considers the evidence on return predictability, risk...