Many studies have stressed that human activities may cause the extinction of single species. Anthropogenic activities, however, may affect not only the number of individuals of single species, but also their behavior. To investigate this issue, we propose a growth model in which agents may care not only for the species’ survival but also for the typicality of their behavior. We assume that the environmental defensive expenditures can protect the species avoiding their extinction, but can induce the species to modify their behavior. Results emerging from the model suggest that if the social planner cares for typicality of species behavior, then an infinite growth process may no longer be optimal. Numerical simulations, moreover, show the possible existence of a trade-off between number and behavior of the species, leading the system to a high number of species’ members that behave in an atypical way or to few members behaving very typically.

This paper proposes a Bayesian approach to estimating a factor-augmented GDP per capita equation. We exploit the panel dimension of our data and distinguish between individual-specific and time-specific factors. On the basis of 21 technology, infrastructure, and institutional indicators from 82 countries over a 19-year period (1990 to 2008), we construct summary indicators of each of these three components in the cross-sectional dimension and an overall indicator of all 21 indicators in the time-series dimension and estimate their effects on growth and international differences in GDP per capita. For most countries, more than 50% of GDP per capita is explained by the four common factors we have introduced. Infrastructure is the greatest contributor to total factor productivity, followed by technology and institutions.

This paper investigates the link between consumer pessimism and U.S. economic recessions empirically. First we use structural vector autoregressive models to identify negative structural shocks to consumer confidence, which are used as a proxy for recession fear. We then apply probit models and time-varying-transition-probability Markov-switching autoregressive models to investigate how the lack of consumer confidence affects the probability of recession. We find that recession fear leads to a higher probability of economic downturns. Furthermore, strong evidence exists that an increase in market pessimism may push the economy from an expansion state to a recession state. We also find weaker evidence suggesting that a lack of consumer confidence may trap the economy in the depressed regime longer. We conclude that a lack of confidence can push the economy into recession.

We build quadratic labor adjustment costs into an otherwise standard New Keynesian model of the business cycle and show that this increases output persistence in a vein similar to that of other models of labor market frictions. Furthermore, we demonstrate the implication of quadratic labor adjustment costs for monetary policy. We show that there is a simple rule determining whether quadratic labor adjustment costs imply a trade-off between stabilizing inflation and output.

We build a stochastic discount factor—SDF—using U.S. domestic financial data only, and provide evidence that it accounts for stylized facts about foreign markets that escape SDFs generated by consumption-based models. When our SDF is interpreted as the projection of the pricing kernel from a fully specified model in the space of returns, our results indicate that a model that accounts for the behavior of domestic assets goes a long way toward accounting for the behavior of foreign asset prices. In our tests, we address predictability, a defining feature of the forward premium puzzle—FPP—by using instruments that are known to forecast excess returns in the moment restrictions associated with Euler equations both in the equity and in the foreign markets.

In this article we use Bayesian classification and finite mixture models to extract information from the MSI database (maintained by the Federal Reserve Bank of St. Louis) and construct a new set of non-nested monetary aggregates (under the Divisia aggregation procedure) based on statistical similarities and multidimensional structures. We also use recent advances in the fields of applied econometrics, dynamical systems theory, and statistical physics to investigate the relationship between the new money measures and economic activity. The empirical results offer practical evidence in favor of this approach to monetary aggregation.

This article presents a Ricardian model of trade with learning-by-doing to study the effect of barriers to trade in products with low growth potential on the long-run economic growth. The model shows that, when elasticity of demand for the product with a lower learning potential is greater than unity, a tariff imposed on this product can shift the demand toward the product with a higher learning potential, thus enhancing growth in the exporter economy. Therefore, although with some possible negative effect on the welfare in the short run, barriers for the export of natural luxury goods may be beneficial for developing economies in the long run, since they increase their incentive to develop sectors with higher growth potential.

This paper extends the existing theories of directed technical change by allowing the factors of production, skilled, and unskilled workers, to be employed in both the skill-intensive and unskilled-intensive sectors. Consequently, the direction of technical progress and the sectoral allocation of factors are jointly determined. The feedback between technical progress and the allocation of factors leads to new results concerning structural change and directed technical change. An increase in the endowment of a factor leads to a dynamic reallocation of factors toward the sector that uses the factor intensively. The reallocation of factors also affects the stability properties of directed technical change. When the parameter conditions necessary for strong bias are satisfied, the interior regime (nonspecialization) is at most locally stable. More importantly, if the relative endowment of skilled labor becomes too high (low), the economy necessarily specializes in the production of skilled (unskilled)-labor-intensive goods. Last, the relationship between the relative endowment of skilled labor and the steady-state relative wage rate is not necessarily monotonic.

This paper focuses on the question of what monetary and fiscal policy can do and should do in a “fiscal dominance” world. I first highlight that both “amplification” and “fiscal cushion” effects are always at work jointly in determining the evolution of inflation. I find the threshold of maturity of government bonds beyond which more aggressive monetary policy dampens inflation volatility is three quarters. In addition, I conduct welfare analysis to quantitatively evaluate the costs and benefits brought by long-term debt. My results show that the threshold of government debt maturity above which an aggressive monetary policy improves welfare is eight quarters. More importantly, I characterize optimal monetary and fiscal policy using simple and implementable rules. My results indicate an optimal monetary and fiscal combination calls for an aggressive response in both rules. Finally, I find that optimized simple monetary-fiscal rule is significantly welfare inferior to the Ramsey optimal policy.

This paper takes a parametric approach to demand analysis and tests the weak separability assumptions that are often implicitly made in representative agent models of modern macroeconomics. The approach allows estimation and testing in a systems-of-equations context, using the minflex Laurent flexible functional form for the underlying utility function and relaxing the assumption of fixed consumer preferences by assuming Markov regime switching. We generate inference consistent with both theoretical and econometric regularity. We strongly reject weak separability of consumption and leisure from real money balances as well as weak separability of consumption from leisure and real money balances, meaning that the inclusion of a money in economic models would be of quantitative importance. We also investigate the substitutability/complementarity relationship among different categories of personal consumption expenditure (nondurables, durables, and services), leisure, and money. We find that the goods are net Morishima substitutes, but because of positive income effects they are gross complements. The implications for monetary policy are also briefly discussed.

This paper revisits the long-run relationship between inflation and economic growth by exploring the impact of inflation on investment. I illustrate that inflation may have a positive effect on growth by mitigating the liquidity risks of investment projects. Together with the traditional effect of the “inflation tax” on investment, a hump-shaped relationship between inflation and economic growth can be obtained in a calibrated model, which is consistent with the US postwar data. Sensitivity analysis suggests that the degree of financial development and the magnitude of the aggregate liquidity demand help explain the mixed empirical findings.

This paper proposes the volatility of sovereign credit default swaps (CDS) as a measurement of economic uncertainty. Sovereign CDS provide protection against losses from sovereign defaults and are traded for almost all countries by the world’s largest financial institutions. The premium for protection, the so-called CDS spread, depends on a country’s economic conditions and provides an outside view from global financial institutions. Our empirical results show that the volatility of sovereign CDS spreads contains information about economic uncertainty. For a broad panel of 16 countries, we find that sovereign CDS volatility shares directional information with popular news-based economic policy uncertainty (EPU) indices. Using Bayesian panel vector autoregressions, we find similar responses of output and unemployment to shocks in CDS volatility, equity volatility, and EPU. Our results further suggest that sovereign CDS volatility primarily reflects economic and financial uncertainty rather than political uncertainty.

This paper extends Woodford's approach to the robustly optimal monetary policy to a general linear quadratic framework. We provide algorithms to solve for a time-invariant linear robustly optimal policy in a timeless perspective and for a time-invariant linear Markov perfect equilibrium under discretion. We apply our methods to a New Keynesian model of monetary policy with persistent cost-push shocks and inflation persistence. We find that the robustly optimal commitment inflation is less responsive to a cost-push shock when the shock is more persistent and that the robustly optimal discretionary policy is more responsive to lagged inflation when inflation is more persistent.

Axel Leijonhufvud made an enormous impact on macroeconomics in the late 1960s with the publication of his book On Keynesian Economics and the Economics of Keynes: A Study of Monetary Economics (1968). In this famous book, Leijonhufvud argued that the standard neoclassical synthesis (Hicks–Hansen IS-LM) interpretation of the General Theory totally misunderstood and misinterpreted Keynes. However, during the 1970's, interest in Keynes and Keynesian models waned as new classical equilibrium models became all the rage. Nevertheless, Leijonhufvud, from a position outside the mainstream, continued his research into problems of unemployment, business cycles, and inflation—issues that from his perspective are problems of coordination failure in complex dynamical systems. Axel Leijonhufvud is currently Professor Emeritus at the University of California, Los Angeles, and, since 1995, Professor of Monetary Economics at the University of Trento, Italy. In this interview the author discusses with Leijonhufvud a wide range of issues relating to his own work as well as his views on the development of macroeconomics after Keynes.

This paper proposes a tractable sudden stop model to explain the main patterns in firm-level data from a sample of Southeast Asian firms during the Asian crisis. The model incorporates trend shocks and financial frictions, features that have so far been used separately in the literature on emerging markets. A negative shock to trend productivity growth can account, in our model, for the drop in output and its swift recovery together with the sizable and persistent downward adjustment in firms' Tobin's Q and debt levels. These patterns are broadly shared by most sudden stop episodes as documented in the literature. Trend shocks can also generate, in our model, strong leverage effects in line with the firm-level data and other observations from the literature.

Following a contractionary monetary policy shock, the aggregate output decreases over time for six to eight quarters, while the real interest rate increases immediately and remains high for three quarters, which can hardly be replicated by models characterized by a standard consumption Euler equation. This paper adopts a segmented markets framework where some households are permanently excluded from financial markets. The aggregate output and the nominal interest rate are modeled as exogenous autoregressive processes, while the real interest rate is determined endogenously. For intermediate levels of market segmentation, the model is able to account for both the persistent decreasing path of the aggregate output and the persistent increase in the real interest rate which follow an unanticipated increase in the nominal interest rate. The sign, the size and the persistence of the responses of the real interest rate and the money growth rate are close to those in the data.

Roger Guesnerie is a prominent economic theorist. Among his many honors and distinctions, he is a Foreign Member of the American Academy of Arts and Science and an Honorary Foreign Member of the American Economic Association; he has been a President of the European Economic Association and of the Econometric Society. Currently a Professor at the College de France, he has made fundamental contributions to second-best theory and public economics, information economics, and rational expectation theory.

Guesnerie was one of the founding fathers of second-best theory. His contributions to public economics, addressing issues such as nonconvex economies and especially taxation in a second-best context, remain absolute references on these topics; more recently, he has provided an in-depth analysis of issues related to climate change and global warming from a public economics perspective. Regarding contract theory, his work with Jean Jacques Laffont has considerably extended our understanding of the properties of the basic models, as well as the set of tools that economists can use to address these problems. Finally, Guesnerie's work has been influential in the critical reassessment of rational expectation theory that took place over the last decades. On one hand, he has been a prominent figure in the development of so-called “sunspot” models, which reconcile the Keynesian notion of “animal spirits” with the formal requirements of rational expectations. On the other hand, he has provided path-breaking discussions of the theoretical relevance of rational expectation theory, based on a detailed assessment of the coordination between individual expectations that is implicit in the concept. In some classes of models, Guesnerie argues, rational expectation equilibria constitute a natural outcome, because coordination can be achieved either through “eductive” reasoning (for which common knowledge of individual rationality is sufficient) or as the product of simple evolutionary or learning dynamics (and in general in both ways). In other cases, however, such arguments do not appear to support the rational expectations solution, and its relevance is therefore much less obvious. On a more institutional side, Guesnerie has created the doctoral program “Analyse et Politique Economique” at the Ecole des Hautes Etudes en Sciences Sociales; besides this program, in 1989, several related research centers in Paris merged into Delta, which Guesnerie chaired between 1992 and 2000, and then into the Paris School of Economics (PSE), at which Guesnerie is Chairman of the Board.

This interview with Roger Guesnerie gives an opportunity to discuss further the current situation of economic theory and economics in general, as well as to compare the European and American traditions in economics.

This paper presents an overlapping generations model with technology choice and imperfect financial markets, and examines the evolution of the income distribution in economic development. The model shows that improvements in financial infrastructure facilitate economic development both by raising the aggregate capital–labor ratio and by causing a technological shift to more capital-intensive technologies. Although a higher capital–labor ratio under a given technology reduces inequality, a technological shift can lead to a concentration of economic rents among a smaller number of agents. We derive the condition under which an improvement in financial infrastructure actually decreases the average utility of agents.

This paper explores the shape of the Japanese money demand function in relation to the historical path of the Bank of Japan's policy rate by employing Saikkonen and Choi's [Econometric Theory 20, 301–340 (2004)] cointegrating smooth transition model. The nonlinear model provides a unified econometric framework, not only for pursuing the time profile of interest elasticity, but also to test the linearity of the Japanese money demand function. The test results for the linearity of the Japanese money demand function provide evidence of nonlinearity with a semilog model and linearity with a double-log model. Using a nonlinear semilog model, the analysis also finds that Japanese money demand comprises three regimes and that the interest semielasticity began to increase in the early 1990s when the Bank of Japan set the policy rate below 3%.

We estimate a medium-scale dynamic stochastic general equilibrium (DSGE) model for the euro area in an open-economy framework. The model includes structural trends on all variables, allowing us to estimate on gross data. First, we provide a theoretical balanced growth path consistent with permanent productivity shocks, inflation target changes, and permanent shocks to the openness of the economies. We then define the cycle as the gap between this sustainable trajectory and the gross data. Hence, we can properly deal with persistent deviations of the trade balance. Finally, we find persistent and strong effects from the asymmetric increase of euro-area imports during the last 10 years on domestic inflation. From 2000Q1 to 2008Q4, we estimate the contribution of the imbalanced development of international trade on euro-area inflation to an average of −0.7%, and on nominal interest rate, to an average of −1.4%.