The global financial crisis was characterized by heightened financial risk in the USA, which spread to the rest of the world, including emerging economies. This paper constructs a core–periphery model with a global banking network and financial frictions. Due to a common-lender effect, when global banks lend to an emerging economy, heightened financial risk in the center depresses cross-border lending to the emerging economy, reducing real activities and exacerbating monetary policy trade-offs. As financial markets become more integrated, exchange rate flexibility becomes less welfare enhancing and active capital account policy becomes more welfare enhancing.

Occurrences of an old phenomenon, the expropriation of foreign-owned property, peaked in the 1970s when virtually every significant oil-producing developing country nationalized its oil. Nationalization was again on the rise in the 2000s. Using novel data, this paper quantitatively evaluates the effects of nationalization. First, the paper finds significant productivity losses associated with nationalization in a sample of oil-producing countries. Venezuela in particular experienced a striking decline in productivity. Second, the paper presents a new channel through which nationalization affects productivity: a long-term pre-announcement can shift the composition of the workforce with a huge decline in highly skilled foreign workers and result in higher extraction and lower exploration. Guided by a quantitative dynamic partial equilibrium framework disciplined by features of the Venezuelan data, this paper then evaluates the effects of nationalization. A comparison of the simulated and time series data shows that the model can explain about 80% of the productivity pattern over 1961–1980 in the Venezuelan oil industry. Counterfactual experiments suggest that the shift in the composition of the workforce is important in accounting for the productivity pattern. Furthermore, if nationalization had been sudden, long-run losses would have been lower.

Can monetary policy stimulate consumption through inflation expectations? We study how US consumers revise inflation expectations and readiness to spend in response to monetary policy shocks using a structural vector-autoregressive model, where we identify exogenous policy shocks with interest rate surprises around FOMC announcements. Based on survey data, we construct measures of changes in consumers’ readiness to spend conditional on how consumers update their inflation expectations. Expansionary policy shocks tend to increase readiness to spend conditional on higher expected inflation outside the zero lower bound (ZLB), but the effect is small. At the ZLB, consumers increasingly reduce their readiness to spend if they expect higher inflation. Overall, we find only limited evidence suggesting that policy-induced variations in inflation expectations are associated with adjustments that are in line with the predictions of standard macroeconomic models.

Based on a multisector general equilibrium framework, we show that the sectoral elasticity of substitution plays the key role in the evolution of asymmetric tails of macroeconomic fluctuations and the establishment of robustness against productivity shocks. A non-unitary elasticity of substitution renders a nonlinear Domar aggregation, where normal sectoral productivity shocks translate into non-normal aggregated shocks with variable expected output growth. We empirically estimate 100 sectoral elasticities of substitution, using the time-series linked input-output tables for Japan and find that the production economy is elastic overall, relative to a Cobb-Douglas economy with unitary elasticity. In addition to the previous assessment of an inelastic production economy for the USA, the contrasting tail asymmetry of the distribution of aggregated shocks between the USA and Japan is explained. Moreover, the robustness of an economy is assessed by expected output growth, the level of which is led by the sectoral elasticities of substitution under zero-mean productivity shocks.

A large literature has shown money demand functions constructed from simple-sum aggregates are unstable. We revisit the controversy surrounding the instability of money demand by examining cointegrating income-money relationships with the Divisia monetary aggregates for the U.S., and compare them with their simple-sum counterparts. We innovate by conducting a more granular analysis of various monetary assets and their associated user costs. We find characterizing money demand with simple-sum measures only works well in a period preceding 1980. Divisia aggregates, their components, and their user costs provide a more reliable interpretation of money demand. Subsample analysis across 1980 and 2008 suggests the instability of money demand is a matter of measurement rather than a consequence of a structural change in agents’ preference for monetary assets.

This paper uses a Bayesian approach to estimate a standard international real business cycle model augmented with preferences with zero wealth effect, variable capacity utilization, and investment adjustment costs. First, I find that the bulk of fluctuations in country-specific outputs, consumption, investments, and international relative prices can be attributed to country-specific neutral technology, investment-specific technology, and preference shocks. Second, my estimated model with economically meaningful shocks simultaneously accounts for the negative correlation between the real exchange rate and relative consumption and the negative correlation between the terms of trade and relative output. Last, through a marginal likelihood comparison exercise, I find that the success of the model depends on preferences with zero wealth effects; other frictions and alternative asset market structures play a less important role.

This study considers adult mortality and analyzes the effect of public health investment on economic development, whereby investment increases savings but decreases fertility through a decrease in adult mortality. As the labor force increases, investment temporarily decreases capital per unit of labor. However, the decrease in fertility increases capital per unit of labor in subsequent periods. By considering these two opposing effects of decreasing fertility, we clarify the conditions required for investment to improve economic development via increasing savings and decreasing fertility. We examine panel estimation and present some weak evidence for our model.

In this paper, I investigate the conditional contributions of the ins and outs of unemployment from both empirical and theoretical perspectives. Based on a New Keynesian Dynamic Stochastic General Equilibrium (DSGE) theoretical framework, I estimate a sign restriction Vector Auto Regressive (VAR) model using French data. To identify the origins of unemployment dynamics in terms of worker transition rates, I simulate two shocks: one on the supply side (technology) and the other on the demand side (monetary). The VAR model reveals that the contributions of transition rates in explaining unemployment differ across shocks. After a technology shock, unemployment fluctuations are mainly explained by the job finding process, while the contributions of the two margins are more balanced for the monetary shock. The theoretical model is not able to reproduce the underlying mechanisms inducing unemployment. In particular, the conditional contributions of the job separation margin are overestimated each time. For instance, after a technology shock, 60% of unemployment changes are generated by this margin, while the data suggest a contribution of 28%. This paper strongly indicates that, in its standard formulation, a search and matching DSGE model featuring endogenous job separations is not able to replicate the dominating influence of the outflow process.

Many macroeconometric models depict situations where the shares of the major demand aggregates in output are stable over time. The joint dynamic behavior of the considered demand aggregate and output may thus be approximated by a cointegrated vector autoregression. However, the shares of many demand subaggregates in output are rather mobile and changing over time. In order to simultaneously capture the flexibility of the shares of the subaggregates and the long-run constancy of the share of the total aggregate, we consider trivariate systems of two macroeconomic subaggregates and output with error-correction terms that are nonlinear functions of the original variables. The merits of the models are evaluated by means of several forecasting experiments.

We set up a dynamic stochastic model of a stylized economy comprising a final output sector (with traditional and modern firms) and an intermediate goods sector. It is shown that market integration reduces the volatility of the rate of return to capital invested in modern firms. The induced portfolio decisions of households lead to a reallocation of capital from traditional to modern firms. Despite the presence of a reverse precautionary saving channel, the growth rate unambiguously increases because of the reallocation of capital. Empirical estimates for OECD countries support the theoretical results.

We provide a new way of deriving a number of dynamic unobserved factors from a set of variables. We show how standard principal components may be expressed in state space form and estimated using the Kalman filter. To illustrate our procedure, we perform two exercises. First, we use it to estimate a measure of the current account imbalances among northern and southern euro area countries that developed during the period leading up to the outbreak of the euro area crisis, before looking at adjustment in the post-crisis period. Second, we show how these dynamic factors can improve forecasting of the euro exchange rate.

We analyze the consequences of external debt collaterals on the optimal growth path of a country. We develop a small open economy model of endogenous growth where public spending can be financed by borrowing on imperfect international financial markets, where the country's borrowing capacity is limited. In contrast to the existing literature, which assumes that debt is constrained by the stock of capital, we investigate the consequences of gross domestic product (GDP)-based collaterals. First, we demonstrate that the economy may converge in a finite time, which is determined endogenously, to the regime with binding collaterals. Second, in such regime the steady-state public expenditures-to-GDP ratio is greater than that of the existing literature's models. Finally, we show that the degree of financial openness rises welfare if the collateral constraint is nonbinding and reduces welfare if the constraint binds. The first effect prevails always over the second and total intertemporal welfare increases.

When studying the Federal Open Market Committee’s (FOMC’s) interest rate rule, some authors, such as Gonzalez-Astudillo [(2018) Journal of Monetary, Credit, and Banking 50(1), 115–154.], find evidence for changes in inflation and output gap responses. Others, such as Sims and Zha [(2006) American Economic Review 96(1), 54–81.], only find evidence for a change in the variance of the interest rate rule. In this paper, I develop a new two-regime Markov-switching model that probabilistically performs variable selection and identification of parameter change for each variable in the model. I find substantial evidence that there have been changes in the FOMC’s response to the unemployment gap and in the volatility of the rule. When the FOMC responds strongly to the unemployment gap, I find a bimodal density for the inflation response coefficient. Despite the bimodal density, there is a low probability that there have been changes in the FOMC’s response to inflation.

Aggregate hours worked per working-age person decreased in Austria by 25% from 1970 to 2005. During the same time period, taxes increased, particularly the effective marginal tax rate on labor income. Using a standard general equilibrium growth model with taxes, I quantitatively assess the role played by the evolution of taxes in the evolution of hours worked in Austria. The model accounts for 76% of the observed decrease in hours worked per working-age person. My results are in line with other studies, which find taxes play an important role in explaining aggregate hours worked.

This paper examines the effectiveness of forward guidance shocks in the US. We estimate a New Keynesian model with imperfect central bank credibility and heterogeneous expectations using Bayesian methods and survey data from the Survey of Professional Forecasters (SPF). The results provide important takeaways: (1) The estimated credibility of the Fed’s forward guidance announcements is relatively high, but anticipation effects are attenuated. Accordingly, output and inflation do not respond as favorably as in the fully credible counterfactual. (2) The so-called “forward guidance puzzle” arises partly from the unrealistically large responses of macroeconomic variables to forward guidance under perfect credibility and homogeneous fully informed rational expectations, assumptions which are found to be jointly inconsistent with the observed US data. (3) Imperfect credibility provides a plausible explanation for the empirical evidence of forecasting error predictability based on forecasting disagreement found in the SPF data. Thus, we show that accounting for imperfect credibility and forecasting disagreements is important to understand the formation of expectations and the transmission mechanism of forward guidance.

In the discrete-time new-Keynesian model with public debt, Ramsey optimal policy eliminates the indeterminacy of simple-rules multiple equilibria between the fiscal theory of the price level versus new-Keynesian versus an unpleasant equilibrium. If public debt volatility is taken into account into the loss function, the interest rate responds to public debt besides inflation and output gap. Else, the Taylor rule is identical to Ramsey optimal policy when there is zero public debt. The optimal fiscal-rule parameter implies the local stability of public-debt dynamics (“passive” fiscal policy).

This paper tests the optimality of consumption decisions at the aggregate level, taking into account popular deviations from the canonical constant-relative-risk-aversion (CRRA) utility function model—rule of thumb and habit. First, we provide extensive empirical evidence of the inappropriateness of linearization and testing strategies using Euler equations for consumption—a drawback for standard rule-of-thumb tests. Second, we propose a novel approach to testing for consumption optimality in this context: nonlinear estimation coupled with return aggregation, where rule-of-thumb behavior and habit are special cases of an all-encompassing model. We estimated 48 Euler equations using GMM. At the 5% level, we only rejected optimality twice out of 48 times. Moreover, out of 24 regressions, we found the rule-of-thumb parameter to be statistically significant only twice. Hence, lack of optimality in consumption decisions represent the exception, not the rule. Finally, we found the habit parameter to be statistically significant on four occasions out of 24.

The financial woes that initiated the financial crisis of 2007/08 have, at least in part, been traced to excessive bank risk-taking. What induced this behavior? One explanation is the persistently low short-term interest rates during the mid-2000s. We exploit an extensive panel of matched Austrian banks and firms during 2000–2008 to investigate the effects of the European Central Bank's (ECB) policy of persistently low interest rates during 2003q3–2005q3. Our analysis suggests that this policy likely caused Austrian banks to hold risker loan portfolios than they would have in its absence.

This note studies fiscal–monetary policy interactions in an endogenous growth model with multiple assets. The “growth-rate Laffer curve” clarifies an important tension between economic growth and government revenue and reveals that higher economic growth does not always finance a larger budget deficit. There are two Pareto-ranked balanced-growth equilibria, which can both be E-stable. Although fiscal policy can eliminate the expectational indeterminacy, it rules out the equilibrium with a higher growth rate and higher welfare. Near the lower bound of the nominal interest rate, an arbitrarily small budget deficit will select the low-growth equilibrium to be the unique E-stable equilibrium.

Costas Azariadis was born in Athens, Greece, in 1943. He attended the National Technical University in Athens and received a degree in chemical engineering in 1969. He then attended Carnegie Mellon University, receiving an MBA in 1971 and his Ph.D. in 1975. His doctoral dissertation was advised by Edward Prescott and Robert Lucas. Azariadis's first academic appointment was as an assistant professor at Brown University between 1973 and 1977, after which he moved to the University of Pennsylvania. In 1992, he moved to UCLA. In addition, Azariadis spent two semesters at Hebrew University and Princeton and has held briefer visiting positions all over the world.