This paper presents a model of development that is driven by matching between talents and technologies. Differences in productivity across countries are amplified by three dimensions of talent utilization: the range of talents utilized, the density of a specific talent utilized, and the average match quality in the economy. In our model, higher productivity increases the number of technologies available, enhancing the opportunities for individuals to match their talents to specific technologies and increasing the returns to search. More intensive search further contributes to talent utilization.

This paper sets up a two-sector growth model with sectoral hysteresis because of intersectoral factor reallocation costs. The main results are: (i) The economy under study exhibits nonergodic growth implying path-dependency (history matters) and permanent consequences of temporary shocks. (ii) Flexible economies are more likely to take advantage of technological improvements. The analysis points to a new mechanism in the flexibility-growth nexus, which complements the findings of Bertola (1994). (iii) Periods of negative growth can be explained as optimal responses of an economy to favorable technology shocks. This result sheds light on the fact that economic development is associated with recurring downturns.

This paper studies stylized business-cycle properties of household production in four industrialized countries (Canada, the United States, Germany, and Japan). We employ a dynamic small open-economy business-cycle model that incorporates a household production sector. We use the model to generate data on home output, hours worked in the home sector, and hours spent on leisure. We find that in each country, home output is more volatile than market output, whereas home sector hours are about as volatile as those in the market sector. In each country, leisure is the least volatile series. Leisure hours and home hours are countercyclical in all countries, and home output is not highly correlated with market output. Home sector variables are generally less persistent than market variables and cross-country correlations related to home production tend to be lower than those related to market production. These findings demonstrate that despite some well-known structural differences in labor markets, the cyclical features of home sector variables are similar across the countries we consider.

Exchange rates display excessive volatility and are disconnected from macroeconomic fundamentals. This paper presents a two-country general equilibrium model in which nonfundamental uncertainty (“sunspots”) in part drives stochastic fluctuations in the exchange rate in a class of rational expectation equilibria. In the model, a combination of financial frictions—incomplete asset markets and a proportional transaction cost associated with trading foreign-currency-denominated bonds—breaks the tight link between exchange rates and fundamentals. Moreover, the model generates a negative Backus–Smith correlation between relative consumption and the real exchange rate, because relative prices, acting as a source of shocks as opposed to shock absorbers, directly affect relative output and generate a large wealth effect on relative consumption. Using a random walk as an example of sunspot shocks, the volatility of exchange rates relative to that of output and consumption is found to be large in the presence of nontradable goods and distribution services.

We estimate the relationship between GDP per capita growth and the growth rate of the national saving rate using a panel of 130 countries over the period 1960–2017. We find that GDP per capita growth increases (decreases) the growth rate of the national saving rate in poor countries (rich countries), and a higher credit-to-GDP ratio decreases the national saving rate as well as the income elasticity of the national saving rate. We develop a model with a credit constraint to explain the growth-saving relationship by the saving behavior of entrepreneurs at both the intensive and extensive margins. We further present supporting evidence for our theoretical findings by utilizing cross-country time series data of the number of new businesses registered and the corporate saving rate.

We examine, conditional on structural shocks, the macroeconomic performance of different countercyclical capital buffer (CCyB) rules in small open economy estimated medium-scale Dynamic Stochastic General Equilibrium (DSGE) model. We find that rules based on the credit gap create a trade-off between the stabilization of fluctuations originating in the housing market and fluctuations caused by foreign demand shocks. The trade-off disappears if the regulator responds to house prices instead. It turns out that the welfare-maximising simple CCyB rule implies responding to house prices only and not to the credit gap. Such rule also leads to significant welfare gains compared to the no CCyB case.

The literature on international business cycles has employed dynamic factor models (DFMs) to disentangle global from group-specific and national factors in countries’ macroeconomic aggregates. Therefore, the countries have simply been classified ex ante as belonging to the same region or the same level of development. This paper estimates a DFM for a sample of 106 countries and three variables (output, consumption, investment) over the period 1960–2014, in which the countries are classified according to the outcome of a cluster analysis. By comparing the results with those obtained by the previous grouping approaches, we show substantial deviations in the importance of global and group-specific factors. Remarkably, when the groups are defined properly, the “global business cycle” accounts for only a very small fraction of macroeconomic fluctuations, most evidently in the industrialized world. The group-specific factors, on the other hand, play a much greater role for national business cycles than previously thought—also in the pre-globalization period.

Skill-biased technical change occupied empirical economists for much of the 1990s. The empirical literature firmly established a positive correlation between technology indicators and demand shifts. In the minds of many, that has established a causal relationship. This leap of faith, however, is at odds with Hicks's conventional wisdom that endogenous technological change will be biased toward using cheap and abundant resources. In addition, if the rate of technical change is considered to be endogenous, the assumption of an exogenous bias toward skilled labor should at least be questioned. Two hypotheses explaining endogenous skill bias in technical change have been suggested in the theoretical literature: the acceleration effect and the market size effect. In this paper these are studied in a single endogenous-growth model to derive the sufficient and necessary conditions for both hypotheses. After confronting these conditions with the evidence, the paper concludes that it strongly favors the acceleration hypothesis.

In this paper, we study a decentralized monetary economy with a specified set of markets, rules of trade, an equilibrium concept, and a restricted set of policies and derive a set of equilibrium (monetary) allocations generated by these policies. Next we set up a simpler constrained planning problem in which we restrict the planner to choose from a set that contains the set of equilibrium allocations in the decentralized economy. If there is a government policy that allows the decentralized economy to achieve the constrained planner's allocation, then it is the optimal policy choice. To illustrate the power of such analyses, we solve such planning problems in three monetary environments with limited communication. The upshot is that solving constrained planning problems is potentially an extremely “efficient” (easy and quick) way of deriving optimal policies for the corresponding decentralized economies.

The article compares the social efficiency of monetary targeting and inflation targeting when central banks may have private information on shocks to money demand and the transparency solution is not feasible because of verifiability problems. Under inflation targeting and monetary targeting, central banks may have an incentive to signal their private information in order to influence the public's expectations about future inflation. We show that inflation targeting is superior to monetary targeting, as it makes it easier for central banks to commit to low inflation. Moreover, central banks that are weak on inflation prefer inflation targeting to monetary targeting.

In a seminal paper, Robert E. Lucas, Jr. provided the theoretical relationship between aggregate demand and real output based on relative price confusion at the individual market level. Subsequently, an alternative New Keynesian aggregate supply relationship was derived and it was demonstrated that the two theories can be distinguished on the basis of how both the rate of inflation and the volatility of relative prices affect its slope. By emphasizing the first implication of New Keynesian theory, strong evidence was obtained supporting this model using international data. We also concentrate on the second difference between the two theories. We derive the individual market-level equilibrium relationship for the Lucas model, i.e., the disaggregate supply curve. We estimate the crucial parameters of the relationship between aggregate nominal demand shocks and real output using U.S. intranational state and industry data. We find that the Lucas model omits important New Keynesian features of the data.

The present paper studies the interaction between short-run business cycle fluctuations and economic growth at the empirical level. We identify a measure of potential output with that rate of growth consistent with a constant unemployment rate, and we estimate the effects of GDP growth rates on the latter in 13 Latin American and 18 OECD countries during the period 1981–2011. The results of both parametric (OLS/IV and a panel estimator that allows for parameter heterogeneity and cross-section dependence) and nonparametric (a penalized regression spline estimator) econometric techniques show that the measure of potential output experiences positive (negative) changes in periods of high (low) growth in the majority of countries. However, in contrast to the sample of OECD countries, we find that less than half of the sample of Latin American countries experience statistically significant changes in this measure of potential output in periods of low growth.

We incorporate keeping-up-with-the-Joneses (KUJ) preferences into the Blanchard–Yaari framework and develop a model of balanced growth. In this context we investigate status preference, demographic shocks, and pension policy. We find that a higher degree of KUJ lowers economic growth, whereas, in contrast, a decrease in the fertility and mortality rates increase it. In the second part of the paper we extend the model by incorporating a pay-as-you-go (PAYG) pension system with a statutory retirement date. The latter implies that the growth rate is higher under PAYG. We also consider the implications of pension reform under both defined benefit and defined contribution schemes.

We propose a simple incomplete-markets small-open-economy model that is amenable to analytical dissection of its policy-relevant mechanisms. In contrast to its complete-markets limit, the equilibrium real exchange rate is irreducible from the incomplete-markets equilibrium. Market incompleteness exacerbates the domestic-inflation and output-gap monetary-policy trade-off in two ways: its steepness and its resulting endogenous cost-push to the trade-off. The latter depends on an equilibrium combination of structural shocks and on agents' beliefs of future events. Thus, in comparison to its complete-markets and closed-economy limits, standard Taylor-type rules are less capable of inducing determinate rational expectations equilibrium in our environment. Despite the larger policy trade-off under incomplete markets, simple policies that also respond to exchange-rate growth are able to manage expectations that drive the endogenous cost-push term. However, policies that respond directly to expectations may turn out to exacerbate the cost-push trade-off further, and thus, to be more likely to fuel self-fulfilling multiple or unstable equilibria.

Challenges raised by aging (increasing longevity) have prompted policy debates featuring policy proposals justified by reference to some notion of intergenerational equity. However, very different policies ranging from presavings to indexation of retirement ages have been justified in this way. We develop an overlapping-generations model in continuous time that encompasses different generations with different mortality rates and thus longevity. Allowing for trend increases in both longevity and productivity, we address the normative issue of intergenerational equity under a utilitarian criterion when future generations are better off in terms of both material and nonmaterial well-being. Increases in productivity and longevity are shown to have very different implications for intergenerational distribution. Further, the socially optimal retirement age, dependency ratio, and intergenerational burden sharing in the case of a trend increase in longevity are shown to depend on how individuals' utility for time/leisure is affected by age and longevity.

In the aftermath of the global financial crisis, questions have been raised regarding the value and applicability of modern macroeconomics. Motivated by these developments and recent advances in dynamical systems theory, the papers in this special issue of Macroeconomic Dynamics deal with specific aspects of the economy as a complex evolving dynamic system.

By means of an endogenous growth model of directed technical change with vertical and horizontal R&D, we study a transitional-dynamics mechanism that is consistent with the changes in the shares of the high- versus the low-tech sectors found in recent European data. Under the hypothesis of a positive shock in the proportion of high-skilled labor, the technological-knowledge bias channel leads to unbalanced sectoral growth with a noticeable shift of resources across sectors. A calibration exercise suggests that the model is able to account for up to from 50 to about 100 percent of the increase in the share of the high-tech sector observed in the data from 1995 to 2007. However, the model predicts that the dynamics of the share of the high-tech sector has no significant impact on the dynamics of the economic growth rate.

Recent empirical work on globalization and inflation analyzes multicountry data sets in panel and/or cross-section frameworks and reaches inconclusive results. This paper highlights their shortcomings and reexamines the issue utilizing heterogeneous panel cointegration techniques that allow for cross-section heterogeneity and dependence. It finds that in a sample of developing countries globalization of both trade and finance, on the average, exerts a significant and positive effect on inflation, whereas in a sample of developed countries there is, on the average, no significant impact of openness. Neither type of openness disciplines inflationary policy. Despite this, there are large variations in the effect across countries, due possibly to differences in the quality of political institutions, central bank independence, the exchange-rate regimes, financial development, and/or legal traditions.

Using a two-sector endogenous growth model, the speed of convergence is determined primarily by the gap in rates of return between physical and human capital. In closed economies, for a typical situation of having relatively less physical capital than in a steady state, the return on physical capital will be significantly high, whereas the return on human capital will be relatively low. This gap in rates of return is quite large when the economy is not at its steady state. In open economies, where human capital is nontradable, the gap in rates of return is small, as is the gap between the international interest rate (which is less than the closed economies return on physical capital) and the return on human capital. Convergence in open economies will be relatively slow, and convergence in closed economies will be relatively fast, and therefore there is little gain from financial liberalization.

We model an industry that supplies intermediate goods in a growing economy. Agents can choose whether to provide labor or to become firm owners and compete in the industry. The idea that entry is determined through occupational choice has major implications for the economy's dynamics. Particularly, the results show that economic dynamics are governed by endogenous volatility in the determination of both the number of industry entrants and in the growth rate of output. Consequently, we argue that occupational choice and the structural characteristics of the endogenous market structure can act as both the impulse source and the propagation mechanism of economic fluctuations.