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...

This paper shows consistency of a two step estimator of the parameters of a dynamic approximate factor model when the panel of time series is large (n large). In the first step, the parameters are first estimated from an OLS on principal components. In the second step, the factors are estimated...

The Beveridge-Nelson (BN) technique provides a forecast-based method of decomposing a variable such as output, into trend and cycle when the variable is integrated of order one (I (1)). This paper considers the multivariate generalization of the BN decomposition when the information set includes...

This paper considers quasi-maximum likelihood estimations of a dynamic approximate factor model when the panel of time series is large. Maximum likelihood is analyzed under different sources of misspecification: omitted serial correlation of the observations and cross-sectional correlation of...

This paper uses a data-set including time series data on macroeconomic variables, loans, deposits and interest rates for the euro area in order to study the features of financial intermediation over the business cycle. We find that stylized facts for aggregate monetary and real variables are...