In this paper we compare the impact of hardware, software, and communication equipment, widely referred to as information and communication technologies (ICT), on economic growth among the advanced industrialized countries. We use nonparametric techniques that allow us to estimate the output elasticities of ICT and human capital directly for each country and time period in our sample. Our results indicate that countries with high levels of ICT capital have high output elasticities of human capital. In addition, countries with high levels of human capital have high output elasticities of ICT, a result suggesting complementarity between the two.

An asset market segmentation model is constructed to study the distributional effects of monetary policy when economic individuals can choose means of payment among alternatives. In equilibrium, monetary policy has two distributional effects: a direct effect and an indirect effect through the choice of means of payment. When the government injects money, some purchase a greater variety of goods with cash whereas others purchase a greater variety of goods with credit. Credit can dampen fluctuations in consumption arising from monetary policy. The optimal money growth rate can be positive or negative. The Friedman rule is not optimal in general.

Vote-buying is widely used by parties in developing countries to influence the outcome of elections. We examine the impact of vote-buying on growth. We consider a model with a poverty trap where redistribution can promote growth. We show that vote-buying contributes to the persistence of poverty as taxed wealthy people buy votes from poor people. We then show that there exists a democratic constitution that breaks vote-buying and promotes growth. Such a constitution involves rotating agenda setting, a taxpayer-protection rule, and repeated voting. The latter rule makes vote-buying prohibitively costly.

The standard model of the small open economy is burdened with a unit root that greatly complicates numerical computation of the global saddle path. In this paper we solve the unit root problem by developing a set of innovative forward-shooting algorithms. Exploiting the fact that the algorithms are mechanical and model-free, we have placed canned, fully automated programs in the public domain. The programs do not require any substantive human input. The user's only responsibility is to type in the equations of the model correctly.

In this paper, we analyze the adequacy of using GARCH as the data-generating process to model conditional volatility of stock market index rates-of-return series. Using the Hinich portmanteau bicorrelation test, we find that a GARCH formulation or any of its variants fail to provide an adequate characterization for the underlying process of the main Latin American stock market indices. Policymakers need to be careful when using autoregressive models for policy analysis and forecast because the inadequacy of GARCH models has strong implications for the pricing of stock index options, portfolio selection, and risk management. In particular, measures of spillover effects and output volatility may not be correct when GARCH-type models are used to evaluate economic policy.

In this paper we investigate whether a standard life-cycle model in which households purchase nondurable consumption and consumer durables and face idiosyncratic income and mortality risk as well as endogenous borrowing constraints can account for two key patterns of consumption and asset holdings over the life cycle. First, consumption expenditures on both durable and nondurable goods are hump-shaped. Second, young households keep very few liquid assets and hold most of their wealth in consumer durables. In our model durables play a dual role: they both provide consumption services and act as collateral for loans. A plausibly parameterized version of the model predicts that the interaction of consumer durables and endogenous borrowing constraints induces durables accumulation early in life and higher consumption of nondurables and accumulation of financial assets later in the life cycle, of an order of magnitude consistent with observed data.