A general model of optimal factor accumulation over an infinite horizon is presented in which the steady state depends on initial conditions and on the history of the system. In contrast to conventional results, any change in initial conditions or any temporary shock in the convergence process will in general change the optimal steady state. The result is shown to arise, when the discount rate is positive, from standard assumptions made about the technology of converting heterogeneous factors from one type to another. The dynamic optimizing models commonly used in economics are characterized by state or path independence. Steady state equilibria are determined by underlying exogenous parameters, independent of initial conditions and the history of the economy. Though certain phenomena may be well described by this type of analysis, one wonders whether there are other economic phenom-ena where initial conditions of history will indeed matter. In this paper we consider a model of dynamic optimization

Stabilization programs in open economies typically consist of two stages. In the first stage the rate of currency devaluation is reduced, but the fiscal adjustment does not eliminate the fiscal deficit that causes growth of debt and loss of reserves, making a future policy change necessary. Only later, at a second stage, is this followed by either an abandonment of exchange rate management or by a sufficiently large cut in the fiscal deficit. We study how different second-stage policy changes affect economic dynamics during the first stage. These changes include tax increases, budget cuts on traded and nontraded goods, and increases in the growth rate of money.

Standard one-sector growth models often have the counterfactual implication that economies with access to similar technologies will converge to a common balanced growth path. We propose an elaboration of the Diamond model that permits multiple, locally stable stationary states. This multiplicity is due to increasing social returns to scale in the accumulation of human capital.