Although microeconomic studies find a positive relationship between R&D and skill premia, much of the recent rise in U.S. wage inequality was accompanied by slowing labor-productivity growth and relatively slow introduction of new technologies. These conflicting observations are consistent with the effects of a skewed distribution of “absorptive capacities”—the rate at which technology-specific skills can be acquired—in a model of endogenous technological change. The framework is used to assess whether the productivity slowdown and the rise in wage inequality can be jointly accounted for by the contemporaneous decline in the growth rate of labor quality.

We characterize an equilibrium development process driven by the interaction of the distribution of wealth with credit constraints and the distribution of entrepreneurial skills. When efficient entrepreneurs are relatively abundant, a “traditional” development process emerges in which the evolution of macroeconomic variables accord with empirical regularities and income inequality traces out a Kuznets curve. If, instead, efficient entrepreneurs are relatively scarce, the model generates long-run “distributional cycles” driven by the endogenous interaction between credit constraints, entrepreneurial efficiency and equilibrium wages.

We show how a Schumpeterian process of creative destruction can induce rational, herd behavior by entrepreneurs across diverse sectors as if fueled by “animal spirits.” Consequently, a multisector economy, in which productivity improvements are made by independent, profit-seeking entrepreneurs, exhibits regular booms, slowdowns, and downturns as part of the long-run growth process. Our cyclical equilibrium has higher average growth, but lower welfare than the corresponding acyclical one. We show how a negative relationship can emerge between volatility and growth across cycling economies, and assess the extent to which our model matches several features of actual business cycles.

We study the interactions among geographical mobility, unemployment, and home-ownership in an economy with heterogeneous locations, endogenous construction, and search frictions in the markets for both labour and housing. The decision of home-owners to accept job offers from other cities depends on how quickly they can sell their houses ( i.e. the houses' liquidity ), which in turn depends on local labour market conditions. Consequently, home-owners accept job offers from other cities at a lower rate than do renters, generating a link between home-ownership and unemployment both at the city level and in the aggregate. When calibrated to match aggregate U.S. statistics on mobility, housing, and labour flows, the model predicts that the effect of home-ownership on aggregate unemployment is small. When unemployment is high, however, changes in the rate of home-ownership can have economically significant effects.

The dynamics of house prices, sales, construction, and population growth in response to city-specific income shocks are characterized for 106 US cities. A dynamic model of search in the housing market in which construction, the entry of buyers, house prices, and sales are determined in equilibrium is then developed. The theory generates dynamics qualitatively consistent with the observations and a version calibrated to match key features of the US housing market offers a substantial quantitative improvement over models without search. In particular, variation in the time it takes to sell induces transaction prices to exhibit serially correlated growth.