The accounting and economic literature have long highlighted the potential implications of deferred taxation for tax policy analysis. This paper incorporates deferred taxation into the neoclassical investment model for the computation of the Effective Tax Rate (ETR) on business investment and...

Empirical evidence suggests that the Effective Marginal Tax Rate (EMTR) on income from capital has increased considerably in both the United States and the United Kingdom over the period 1982-2005. This evidence contradicts the corporate tax literature which predicts that the EMTR should instead...

Empirical evidence suggests that the Effective Marginal Tax Rate (EMTR) on income from capital has increased considerably in both the United States and the United Kingdom over the period 1982-2005. This evidence contradicts the corporate tax literature which predicts that the EMTR should instead...

This paper studies optimal macroeconomic policy when nonlinearity in the business cycle is described by a vector smooth transition autoregression (VSTAR). A structural identification of the VSTAR that yields a low-dimension and certainty-equivalent nonlinear quadratic regulator (NLQR) problem is...

We study the sustainability of pension systems using a life-cycle model with distortionary taxation that sets an upper limit to the real value of tax revenues. This limit implies an endogenous threshold dependency ratio, i.e. a point in the cross-section distribution of the population beyond...

Empirical evidence suggests that the Effective Marginal Tax Rate (EMTR) on income from capital has increased considerably in both the United States and the United Kingdom over the period 1982-2005. This evidence contradicts the corporate tax literature which predicts that the EMTR should instead...

This paper studies optimal macroeconomic policy when nonlinearity in the business cycle is described by a vector smooth transition autoregression (VSTAR). A structural identification of the VSTAR that yields a low-dimension and certainty-equivalent nonlinear quadratic regulator (NLQR) problem is...

We develop a regime switching vector autoregression where artificial neural networks drive time variation in the coefficients of the conditional mean of the endogenous variables and the variance covariance matrix of the disturbances. The model is equipped with a stability constraint to ensure...