Research Database

We use political-equilibrium theory and the neoclassical growth model to compare the quantitative properties of different tax systems. We first explore whether societies which can only use consumption taxes fare better than societies which can only use income taxes. We find that if government outlays are used mainly for redistribution through transfers, then the answer is no, contradicting conventional wisdom in public finance. The reason for this is that when taxes are endogenous, and voted on by a selfish constituency, the distortionary effects of taxation are taken into account in choosing the level of taxation. Hence, political equilibria have the property that taxes which are relatively distortionary will be relatively low. These results are overturned if the government outlays are used only for the providing of public goods, implying that less distortionary taxes give better outcomes. We also investigate the properties of a tax systems in which both consumption and income taxes are used and voted on simultaneously. Since the ability to use more tax instruments allows redistribution with less distortions, the total amount of transfers tends to be higher here than in one-tax systems. Typically, tax systems tend to be self-perpetuating in the sense that changes of the tax system result in a reduction in the welfare of the median voter.

Procedures for computing the parameters of a broad class of multifactor continuous time models of the term structure based on indirect estimation methods are proposed. The approach consists of simulating the unknown factors from a set of stochastic differential equations which are used to compute synthetic bond yields. The bond yields are calibrated with actual bond yields via an auxiliary model. The approach circumvents many of the difficulties associated with direct estimation of this class of models using maximum likelihood. In particular, the paper addresses the identification issues arising from singularities in the yields and spreads which tend not to be recognised in existing estimation procedures and thereby overcome potential misspecification problems inherrent in direct methods. Indirect estimates of single and multifactor models are computed and compared with the estimates based on existing estimation procedures.

The possibility of exact maximum likelihood estimation of many observation-driven models remains an open question. Often only approximate maximum likelihood estimation is attempted, because the unconditional density needed for exact estimation is not known in closed form. Using simulation and nonparametric density estimation techniques that facilitate empirical likelihood evaluation, we develop an exact maximum likelihood procedure. We provide an illustrative application to the estimation of ARCH models, in which we compare the sampling properties of the exact estimator to those of several competitors. We find that, especially in situations of small samples and high persistence, efficiency gains are obtained.

We introduce, into a version of the Real Business Cycle model, mild increasing returns-to-scale. These increasing returns-to-scale occur as a consequence of sector specific externalities, that is externalities where the output of the consumption and investment sectors have external effects on the output of firms within their own sector. Keeping the production technologies for both sectors identical for expositional simplicity, we show that indeterminacy can easily occur for parameter values typically used in the real business cycle literature, and in contrast to some earlier literature on indeterminacies, for externalities mild enough so that labor demand curves are downward sloping.

We propose a model in which an unanticipated reduction in the money supply leads to a contemporaneous increase in inventories followed by periods with lower output. This persistent real effect does not require price-rigidity or real shocks and confusion. It is obtained in a model in which markets are cleared and agents are price-takers.