Revolving credit is the prime determinant of short-run household liquidity and comoves positively with product variety and negatively with unemployment. I develop a theory of feedback between revolving credit and product development and examine its ability to explain labor market volatility. Extending the Mortensen–Pissarides model with an endogenous borrowing constraint and free entry of monopolistically competitive firms reproduces stylized facts in the data and amplifies both productivity and financial shocks through mutual causality. Higher debt limits encourage firm entry and raise product variety (the entry channel), and greater variety makes default more costly and thereby raises the equilibrium debt level (the consumption value channel). Though productivity shocks are sufficient to generate higher volatility, financial shocks are essential in approximating the time series patterns of unemployment, vacancies, and revolving credit in the data, and reproduce the rise in unemployment during the Great Recession.

This paper offers a framework for measuring global growth and inflation, built on standard index number theory, national accounts principles, and the concepts and methods for international macro-economic comparisons. Our approach provides a sound basis for purchasing power parity (PPP)- and exchange rate (XR)-based global growth and inflation measures. The Sato–Vartia index number system advocated here offers very similar results to a Fisher system but has the added advantage of allowing a complete decomposition with PPP or XR effects. For illustrative purposes, we present estimates of global growth and inflation for 141 countries over the years 2005 and 2011. The contribution of movements in XRs and PPPs to global inflation are presented. The aggregation properties of the method are also discussed.

Drawing on the empirical evidence that heterogeneity in inflation expectations is persistent and endogenously time-varying, we embed two inflation forecasting strategies—one based on costly ex ante perfect foresight, and the second based on costless ex ante extrapolative trend-following—in a macrodynamic model. Drawing also on the empirical evidence that inflation forecast errors may have to exceed some threshold before agents abandon their previously selected forecasting strategy, we describe agents as switching between forecasting strategies according to evolutionarily satisficing learning. Convergence to a long-run equilibrium consistent with output growth, unemployment and inflation at their natural levels may be achieved even if heterogeneity in inflation forecasting strategies (with predominance of the extrapolative foresight strategy) is an attractor of an evolutionarily satisficing dynamic perturbed by mutant agents. Thus, in keeping with the empirical evidence, heterogeneity in strategies to form inflation expectations (with prevalence of bounded rationality) can be a stable long-run equilibrium.

While Perron and Wada (2009) maximum likelihood estimation approach suggests that postwar US real GDP follows a trend stationary process (TSP), our Bayesian approach based on the same model and the same sample suggests that it follows a difference stationary process (DSP). We first show that the results based on the approach should be interpreted with caution, as they are relatively more subject to the ‘pile-up problem’ than those based on the Bayesian approach. We then directly estimate and compare the two competing TSP and DSP models of real GDP within the Bayesian framework. Our empirical results suggest that a DSP model is preferred to a TSP model both in terms of in-sample fits and out-of-sample forecasts.

We use a New Keynesian DSGE model with search frictions on the housing market to evaluate how financing a labor tax reduction by higher property taxation affects the real economy and welfare. Search on the housing market enables us to explicitly model stocks and flows, which is necessary to differentiate between recurrent property taxes (levied on stocks) and property transaction taxes (levied to flows). We find that using recurrent property taxation as financing instrument outperforms other instruments although all policy measures increase aggregate economy-wide welfare. Our simulations suggest that using property transaction taxation as financing instrument is the least favorable measure.

For a developing economy transitioning into knowledge-intensive sectors, the lack of capacity for advanced education poses a natural challenge. Many successfully industrialized countries used high-skilled foreign teachers to overcome this challenge. I present a stylized quantitative model of trade in high-skilled human capital, in which colleges in a developing country can hire high quality teachers from a developed country. In the model, the use of foreign teachers is proposed as a possible mechanism to build domestic capacity for advanced education. Quantitative calibrations of the model show two main results. First, there are significant frictions in human capital trade, as measured by the wedge between the level of human capital observed in the data versus the level simulated under the assumption of no frictions. Removal of the wedge can narrow the average income gap between the USA and other countries by about 14–24%. Second, relative to countries with the lowest and highest incomes, middle-income countries appear to gain the most from removing the wedge.

Based on a behavioral stock-flow housing market model in which the expectation formation behavior of boundedly rational and heterogeneous investors may generate endogenous boom-bust cycles, we explore whether central banks can stabilize housing markets via the interest rate. Using a mix of analytical and numerical tools, we find that the ability of central banks to tame housing markets by increasing the base (target) interest rate, thereby softening the demand pressure on house prices, is rather limited. However, central banks can greatly improve the stability of housing markets by dynamically adjusting the interest rate with respect to mispricing in the housing market.

Does wage setting exhibit strategic complementarity and produce multiple equilibria? This study constructs a discrete-time New Keynesian model in which households choose the timing of their wage adjustments endogenously subject to fixed wage-setting costs. I explore steady-state equilibrium of the state-dependent wage-setting model both analytically and numerically. For reasonable parameter values, complementarity in wage setting is weak and the steady-state equilibrium is unique.