R&D policy in a volatile economy

The literature on R&D-based growth establishes that market equilibrium is inefficient and derives optimal R&D policy. Normative analyses of this type use the assumption of steady state, largely motivated by analytical convenience. This paper questions this steady-state approach by introducing endogenous cycles as long-run equilibria. We show that the government fails to maximize welfare if policy which is optimal in steady state is myopically applied in cyclical equilibria. More specifically, we demonstrate that (i) cycles arise in the (very) standard R&D-based model of Grossman and Helpman [1991. Innovation and Growth in the Global Economy. MIT Press, Cambridge, MA (Chapter 3)] once the model is framed in discrete time, (ii) these cycles are inefficient in the sense that they prevent welfare maximization, (iii) optimal steady-state R&D policy fails to eliminate cycles, and can even create inefficient cycles, (iv) the application of R&D subsidies leads to a trade-off between growth and macroeconomic stability, and (v) optimal R&D policy in a fluctuating economy is state-dependent, which generalizes optimal steady-state R&D policy.     

Do Distortionary Taxes Always Harm Growth?

This paper examines the long-run effects of capital income taxes, labor income taxes, and expenditure taxes in an R&D-based model of endogenous growth with endogenous labor supply. The main contribution of this paper is to investigate how tax effects on long-run growth are influenced by the emergence of indeterminate equilibria. Indeterminacy in this instance arises due to nonseparable preferences between consumption and leisure, in conjunction with prior distortionary taxes. In contrast to conventional wisdom, we show that higher distortionary taxes improve long-run growth, as well as social welfare, when the steady state is indeterminate.