Empirical estimates of the impact of government spending shocks disagree on central issues such as the size of output multipliers and the responses of consumption and the real wage. One explanation for the disagreement is that fiscal shocks are often anticipated. Due to misspecification of the...

This paper estimates the dynamic effects of changes in taxes in the United States. We distinguish between the effects of changes in personal and corporate income taxes using a new narrative account of federal tax liability changes in these two tax components. We develop an estimator in which...

We evaluate the extent to which a dynamic stochastic general equilibrium model can account for the impact of "surprise" and "anticipated" tax shocks estimated from U.S. time-series data. In U.S. data, surprise tax cuts have expansionary and persistent effects on output, consumption, investment...

We provide empirical evidence on the dynamic effects of tax liability changes in the United States. We distinguish between surprise and anticipated tax changes using a timing-convention. We document that pre-announced but not yet implemented tax cuts give rise to contractions in output,...

We provide empirical evidence on the effects of tax liability changes in the United States. We make a distinction between "surprise" and "anticipated" tax shocks. Surprise tax cuts give rise to a large boom in the economy. Anticipated tax liability tax cuts are instead associated with a...

Existing empirical estimates of US nationwide tax multipliers vary from close to zero to very large. Using narrative measures as proxies for structural shocks to total tax revenues in an SVAR, we estimate tax multipliers at the higher end of the range: around two on impact and up to three after...

We analyse the Generalised Hyperbolic distribution adequacy to model kurtosis and asymmetries in multivariate conditionally heteroskedastic dynamic regression models. We standardise this distribution, obtain analytical expressions for the log-likelihood score, and explain how to evaluate the...

We introduce a frequency domain version of the EM algorithm for general dynamic factor models. We consider both AR and ARMA processes, for which we develop iterative indirect inference procedures analogous to the algorithms in Hannan (1969). Although our proposed procedure allows researchers to...

We generalise the spectral EM algorithm for dynamic factor models in Fiorentini, Galesi and Sentana (2014) to bifactor models with pervasive global factors complemented by regional ones. We exploit the sparsity of the loading matrices so that researchers can estimate those models by maximum...