This paper estimates a structural New Keynesian model to test whether globalization has changed the behavior of U.S. macroeconomic variables. Several key coefficients in the model–such as the slopes of the Phillips and IS curves, the sensitivities of domestic inflation and output to “global” output, and so forth–are allowed in the estimation to depend on the extent of globalization (modeled as the changing degree of openness to trade of the economy), and, therefore, they become time-varying. The empirical results indicate that globalization can explain only a small part of the reduction in the slope of the Phillips curve. The sensitivity of U.S. inflation to global measures of output may have increased over the sample, but it remains very small. The changes in the IS curve caused by globalization are similarly modest. Globalization does not seem to have led to an attenuation in the effects of monetary policy shocks. The nested closed-economy specification still appears to provide a substantially better fit of U.S. data than various open-economy specifications with time-varying degrees of openness. Some time variation in the model coefficients over the postwar sample exists, particularly in the volatilities of the shocks, but it is unlikely to be related to globalization.

This paper proposes a multivariate unobserved-components model to simultaneously decompose the real GDP for each of the G-7 countries into its respective trend and cycle components. In contrast to previous literature, our model allows for explicit correlation between all the contemporaneous trend and cycle shocks. We find that all the G-7 countries have highly variable stochastic permanent components for output, even once we allow for structural breaks. We also find that common restrictions on the correlations between trend and cycle shocks are rejected by the data. In particular, we find that correlations across permanent and transitory shocks are important both within and across countries.

In this paper we explore how income inequality affects growth in a dynastic family model with bequests (physical capital) and investment in human capital for children. For tractability, we abstract from factor markets and focus on household production, which is prevalent in developing countries. We explore a joint distribution of bequests and human capital and track the evolution of income distribution across generations. We show that initial inequality has a positive indirect effect on average output growth by lowering the ratio of physical to human capital, besides its standard negative direct effect. If education is mainly privately (publicly) provided, then income inequality retards (promotes) growth outside the balanced growth path. On the balanced growth path, inequality always hinders growth.

Ramsey equilibrium models with heterogeneous agents and borrowing constraints are shown to yield efficient equilibrium sequences of aggregate capital and consumption. The proof of this result is based on verifying that equilibrium sequences of prices satisfy the Malinvaud criterion for efficiency.

Using a disaggregated Marshallian macroeconomic model, this paper investigates how the adoption of a set of “free market reforms” may affect the economic growth rate of South Africa. Our findings suggest that the institution of the proposed policy reforms would yield substantial growth in aggregate annual real GDP. The resulting annual GDP growth rate could range from 5.3% to 9.8%, depending on which variant of the reform policies was implemented.

This paper presents a closed-form characterization of the allocation of resources in an overlapping generations model of two-sided, partial altruism. Three assumptions are made: (i) parents and children play Markov strategies, (ii) utility takes the CRRA form, and (iii) the income of children is stochastic but proportional to the saving of parents. In families where children are rich relative to their parents, saving rates—measured as a function of the family's total resources—are higher than when children are poor relative to their parents. Income redistribution from the old to the young, therefore, leads to an increase in aggregate saving.

An adaptive step-size algorithm [Kushner and Yin, Stochastic Approximation and Recursive Algorithms and Applications, 2nd ed., New York: Springer-Verlag (2003)] is used to model time-varying learning, and its performance is illustrated in the environment of Marcet and Nicolini [American Economic Review 93 (2003), 1476–1498]. The resulting model gives qualitatively similar results to those of Marcet and Nicolini, and performs quantitatively somewhat better, based on the criterion of mean squared error. The model generates increasing gain during hyperinflations and decreasing gain after hyperinflations end, which matches findings in the data. An agent using this model behaves cautiously when faced with sudden changes in policy, and is able to recognize a regime change after acquiring sufficient information.

The transition paths from plan to market have varied markedly across countries. Central and Eastern European and Baltic countries, which opted for fast and deep reforms including transformation of their business environments, rapidly narrowed the productivity gap with advanced economies. In contrast, in countries of the Commonwealth of Independent States, which embarked on reforms later and with less depth, the productivity gap remains large. Whereas the literature has focused mainly on empirical studies, this paper develops a dynamic search model of firm start-ups that reflects these trends. The model shows that an enabling business climate contributes to start-ups of highly productive firms at an earlier stage of transition, underscoring the importance of early reforms. The role of the state sector as an employer during transition rises in countries where reforming the business environment is particularly costly.

This paper builds on Lucas [Econometrica 68 (2000), 247–274] and on Cysne [Journal of Money, Credit and Banking 35 (2003), 221–238] to derive and order six alternative measures of the welfare costs of inflation (five of them already existing in the literature) for any vector of opportunity costs. We provide examples and closed-form solutions for each welfare measure based both on log–log and on semilog money demands, whenever possible in terms of elementary functions. Estimates of the maximum relative error a researcher can incur when using any of these measures are given. Everything is done for economies with or without interest-bearing deposits.

The paper proposes a New Keynesian monetary model where firms' pricing policies feature a forward-looking optimal choice of the rate of price growth. The model can be thought of as a reduced form model of rational inattention that has only one additional state variable relative to the Calvo model [Journal of Monetary Economics 12 (1983), 383–398]. Like the model of backward-looking automatic indexation to past aggregate inflation, it generates a gradual and persistent reaction of the inflation rate, and output losses, following highly persistent monetary shocks. But unlike that model, its price setters behave very similarly to Calvo price setters when shocks are transitory.

This paper explores the influence of inflation on economic growth both theoretically and empirically. We propose to merge an endogenous growth model of learning by doing with a New Keynesian one with sticky wages. We show that the intertemporal elasticity of substitution of working time is a key parameter for the shape of the inflation–growth nexus. When it is set equal to zero, the inflation–growth nexus is weak and hump-shaped. When it is greater than zero, inflation has a sizable and negative effect on growth. Endogenizing the length of wage contracts does not lead to inflation superneutrality in the presence of a fixed cost of wage resetting. Adopting various semiparametric and instrumental-variable estimation approaches on a cross-country/time-series data set, we show that increasing inflation reduces real economic growth, consistent with our theoretical model with a positive intertemporal elasticity of substitution of working time.

This paper proves the existence of competitive equilibrium in a single-sector dynamic economy with heterogeneous agents, elastic labor supply, and complete asset markets. The method of proof relies on some recent results concerning the existence of Lagrange multipliers in infinite-dimensional spaces and their representation as a summable sequence and a direct application of the inward-boundary fixed point theorem.

This paper studies how monetary policy should react to oil shocks in a microfounded model with staggered price-setting and oil as an input in a CES production function. In particular, we extend Benigno and Woodford [Journal of the European Economic Association 3 (6) (2005), 1–52] to obtain a second-order approximation to the expected utility of the representative household when the steady state is distorted and the economy is hit by oil price shocks. The main result is that oil price shocks generate an endogenous trade-off between inflation and output stabilization when oil has low substitutability in production. We also find, in contrast to Benigno and Woodford, that this trade-off is reduced, but not eliminated, when we get rid of the effects of monopolistic distortions in the steady state. Moreover, the size of the endogenous “cost-push” shock generated by fluctuations in the oil price increases when it is more difficult to substitute other factors for oil.

We use daily short-term interbank interest rates of France, the United Kingdom, and the United States to examine the dynamic links of international monetary markets from 2004 to 2009. Results from vector error-correction models and smooth-transition error-correction models show strong evidence of nonlinear and heterogeneous causalities between the three interest rates. We also find that changes in the U.S. interest rate deviations from the long-run equilibrium led those in France and in the United Kingdom by one to two days. Finally, the national interest rate nexus appears to converge in nonlinear fashion toward a steady state because it is subject to structural change beyond a certain rate threshold. Our findings have important implications for the actions of leading central banks (ECB, Bank of England, and U.S. Fed) because the joint behavior of short-term interest rates can be viewed as an indicator of the degree of central banks' policy interdependence.

This paper is dedicated to the memory of the great statistician Melvin J. Hinich, with whom we were in contact about this research prior to his untimely death from a tragic fall. We develop a neoclassical growth model with habit formation to exhibit an equilibrium nonlinear relationship between aggregate consumption growth and income growth. We first provide empirical evidence consistent with this relationship both for the United States and France, and we reject the hypothesis of a random walk for consumption. We then estimate this nonlinear relationship. We find for both countries robust evidence of persistence, nonlinearity, and cyclicity in the relationship between consumption and income.

In this paper we use a dynamic general equilibrium growth model to quantify the contribution to productivity growth from different technological sources in the three leading economies of the world: Germany, Japan, and the United States. The sources of technology are classified into neutral progress and investment-specific progress. The latter can be split into two different types of equipment: information and communication technologies (ICT) and non-ICT equipment. We find that in the long run, neutral technological change is the main source of productivity growth in Germany and Japan. For the United States, the main source of productivity growth arises from investment-specific technological change, mainly associated with ICT. We also find that a non-negligible part of productivity growth in the three countries has been due to the technology specific to non-ICT equipment.

This paper shows that complex dynamics arises naturally in deterministic discrete choice problems. In particular, it shows that if the objective function of a maximization problem can be written as a function of a sequence of discrete variables, and if the (maximized) value function is strictly increasing in an exogenous variable, then for almost all values of the exogenous variable, any optimal path exhibits aperiodic dynamics. This result is applied to a maximization problem with indivisible durable goods, as well as to a Ramsey model with an indivisible consumption good. In each model, it is shown that optimal dynamics is almost always complex. These results are illustrated with various numerical examples.

“Good policy” and “good luck” have been identified as two of the possible drivers of the “Great Moderation,” but their relative importance is still widely debated. This paper investigates the role played by equilibrium selection under indeterminacy in the assessment of their relative merits. We contrast the outcomes of counterfactual simulations conditional on the “continuity” selection strategy–largely exploited by the literature–with those obtained with a novel “sign restriction” based strategy. Our results suggest that conclusions achieved under “continuity” are not necessarily robust to the selection of different–still economically sensible–equilibria. According to our simulations, the switch to a hawkish systematic monetary policy may very well induce an increase in output volatility. Hence, our sign restriction–selection strategy “resurrects” the inflation–output policy tradeoff.

Can a transfer of wealth from the United States to the least developed countries be Pareto improving? We analyze this question in an open-economy R&D-based growth model, in which the high-income (low-income) country produces innovative (homogeneous) goods. We find that wealth redistribution to the low-income country simultaneously reduces global inequality and increases economic growth through an increase in labor supply in the high-income country. Given that the market equilibrium of R&D-based growth models is usually inefficient due to R&D externalities, the wealth redistribution may lead to a Pareto improvement, which occurs if the discount rate is sufficiently low or R&D productivity is sufficiently high.

We develop business-cycle models with financial constraints, the driving force of which is news about the future (i.e., changes in expectations). We assume that an asset with fixed supply (“land”) is used as collateral, and firms need to hold collateral to finance their input costs. The latter feature introduces an interaction between the inefficiencies in the financial market and in the factor market. Good news raises the price of land today, which relaxes the collateral constraint. It, in turn, reduces the inefficiency in the labor market. If this force is sufficiently strong, the equilibrium labor supply increases. So do output, investment, and consumption. Our models also generate procyclical movement in Tobin's Q. We also show that when the news turns out to be wrong, the economy may fall into a recession.