This article proposes a unified framework for solving and estimating linear rational expectations models with a variety of frequency-domain techniques, some established, some new. The solution methodology is applicable to a wide class of models and leads to straightforward construction of the spectral density for performing likelihood-based inference. We also generalize the well-known spectral decomposition of the Gaussian likelihood function to a composite version implied by several competing models. Taken together, these techniques yield fresh insights into the model’s theoretical and empirical implications beyond conventional time-domain approaches can offer. We illustrate the proposed framework using a prototypical new Keynesian model with fiscal details and two determinate monetary–fiscal policy regimes. The model is simple enough to deliver an analytical solution that makes the policy effects transparent under each regime, yet still able to shed light on the empirical interactions between US monetary and fiscal policies along different frequencies.

We study the main shocks driving current account (CA) fluctuations for the G6 economies, using a standard two-good intertemporal model. We build a structural vector autoregression model including the world real interest rate, net output (NO), the real exchange rate, and the CA and identify four structural shocks. Our results suggest four main conclusions: (i) there is substantial support for the two-good intertemporal model with time-varying interest rate, since both external supply and preference shocks account for an important proportion of CA fluctuations; (ii) temporary domestic shocks account for a large proportion of CA fluctuations, albeit smaller than in previous studies; (iii) our results alleviate the puzzle in the literature that a shock that explains little about NO changes can explain a large proportion of CA changes; (iv) the nature of the shock matters to shape the relationship between the CA and the real exchange rate.

This paper examines how innovation-led growth affects optimal monetary policy. We consider the Ramsey policy in a New Keynesian model where R&D leads to an expanding variety of intermediate goods and compare the results with those obtained when the expansion occurs exogenously. Positive trend inflation is found to be optimal under both assumptions, but much higher with profit-seeking innovation. Optimal monetary policy must be counter-cyclical in response to both technology and public spending shocks, yet the intensity of the reaction crucially depends on the presence of an R&D sector. However, the small amount of short-run deviations of prices from the non-zero trend inflation observed in response to shocks suggests inflation targeting as a robust policy recommendation.

We develop an overlapping generations model to study how the interplay between social and human capital affects fertility. In a framework where families face a trade-off between the quantity and quality of children, we incorporate the assumption that social capital plays a key role in the accumulation of human capital. We show how the erosion of social capital can trigger a chain of reactions leading households to base their childbearing decisions on quantity, instead of quality, resulting in higher fertility.

We analyze the effects of children’s health on human capital accumulation and on long-run economic growth. For this purpose, we design an R&D-based growth model in which the stock of human capital of the next generation is determined by parental education and health investments. We show that (i) there is a complementarity between education and health: if parents want to have better educated children, they also raise health investments and vice versa; (ii) parental health investments exert an unambiguously positive effect on long-run economic growth, (iii) faster population growth reduces long-run economic growth. These results are consistent with the empirical evidence for modern economies in the twentieth century.

This paper investigates the effects of monetary policy on long-run economic growth via different cash-in-advance (CIA) constraints on R&D in a Schumpeterian growth model with vertical and horizontal innovations. The relationship between inflation and growth is contingent on the relative extents of CIA constraints and diminishing returns to two types of innovation. This model can generate a mixed (monotonic or non-monotonic) relationship between inflation and growth, given that the relative strength of monetary effects on growth between different CIA constraints and that of R&D-labor-reallocation effects between different diminishing returns vary with the nominal interest rate. In the empirically relevant case where horizontal R&D is subject to larger diminishing returns than vertical R&D, inflation and growth can exhibit an inverted-U relationship when the CIA constraint on horizontal R&D is sufficiently larger than that on vertical R&D. Finally, we calibrate the model to the US economy and find that the growth-maximizing rate of inflation is around 2.4%, which is consistent with the recent empirical estimates.

We develop an open economy model of a currency union with frictional goods markets and endogenous search decisions to study optimal monetary and fiscal policy. Households finance consumption with a common currency and can search for locally produced goods across regions that differ in their market characteristics. Equilibrium is generically inefficient due to regional spillovers from endogenous search decisions. While monetary policy alone cannot correct this distortion, fiscal policy can help improve allocations by taxing or subsidizing production at the regional level. When households of only one region can search, optimal policy entails a deviation from the Friedman rule and a production subsidy (tax) if there is underinvestment (overinvestment) in search decisions. Optimal policy when households from both region search requires the Friedman rule and zero production taxes in both regions.

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 shows that money is a relevant macroeconomic indicator for the description of US monetary policy with simple rules. Empirical analysis based on novel real-time data reveals the economically and statistically significant effect of money on the federal funds rate during the Volcker–Greenspan era, highlighting an interest rate rule that better explains historical policy. The findings suggest that the bias against including money in mainstream macroeconomic models may be due to relying on an incorrect measure of money. A gradual deviation from this rule explains loose monetary policy prior to the Great Recession. Including money aggregates in rule-based policy presents a suitable framework to evaluate and guide Federal Reserve policy.

Do fiscal stabilization policies affect the long-term growth of the economy? If so, are the long-term effects growth enhancing or growth reducing? When addressing these questions from a theoretical perspective, the literature has typically emphasized the importance of structural aspects such as the modeling approach of endogenous technological change while paying less attention to an elaborate design of the considered fiscal stabilization policies. This paper uses an agent-based macroeconomic model that generates endogenous business cycles to emphasize the role of the policy design for long-term growth effects of stabilization policies. By comparing a demand-oriented consumption policy and two different investment subsidizing policies, it can be shown that these policies are successful in smoothing the business cycle but differ in terms of their effects on economic long-term growth. This highlights the importance of policy design for the analysis of long-term effects of stabilization policies.

I analyze the impact of intellectual property and product market competition regulations on innovation and long-run growth in an endogenous growth model with two R&D performing sectors. I show that strengthening intellectual property rights and competition in a sector increases its R&D investments. However, these policies adversely affect R&D investments in the other sector because of increased factor competition between the sectors. As a result, the overall impact of such policies on economic growth is ambiguous. I perform a numerical exercise in an attempt to resolve this ambiguity. This exercise suggests that strengthening intellectual property rights increases economic growth, but higher competition has a very limited effect on growth.

This paper integrates seemingly disjoint studies on consumer behavior in micro and macroanalyses via an intertemporal two-stage budgeting procedure with durable goods and liquidity constraints. The model specifies an indirect utility function as a function of nondurable consumption, commodity (nondurables) prices, and durables stock, and derives the demand functions for nondurable goods. A demand function for durable goods is derived in an adjustment cost framework. The consumption growth equation accounts for relative price effects with precautionary saving, durables stock, and liquidity constraints. The stochastic discount factor is approximated by a time-varying linear function of nondurable consumption growth, commodity price growth, durables stock growth, and disposable income growth. The demand functions for six nondurable goods and services are jointly estimated with the Euler equations for bonds, stocks, and durable goods with allowance for liquidity constraints, using US data. Estimation provides new findings for intertemporal consumption and a multifactor consumption-based capital asset pricing model.

This paper deals with the optimal management of the public debt-to-GDP ratio. We specifically focus on a contrasting tax evasion-based strategy for controlling the debt-to-GDP ratio. Two devices can be employed by the policymaker: by the one side, the tax rate is to be applied to the tax payers; by the other side, the monitoring activity is to be performed in order to detect the evaded taxes. To pursue our scopes, a stochastic control problem is developed and solved. Some numerical experiments validate the theoretical proposal and lead to an intuitive discussion of the obtained findings.

In recent years, there has been an explosive increase in the demand for health products and services by people all around the globe, and particularly in advanced economies. Aiming to enhance longevity and also to improve quality of life, individual consumption of pharmaceutical products and services has risen exponentially since the early 1980s. This paper develops a model in which agents invest part of their resources in medical products and time in physical exercise to enhance their health status. In the first part of the paper, we study the steady state and transitional dynamics of the model with special emphasis on the effects of health decisions on aggregate outcomes. In the second part, we explore how public health policies may alter private economic decisions that promote healthier and more productive lives.

For previously identified weakly separable blockings of goods and assets, we construct aggregates using four superlative index numbers, the Fisher, Sato-Vartia, Törnqvist, and Walsh, two non-superlative indexes, the Laspeyres and Paasche, and the atheoretical simple summation. We conduct several tests to examine how well each of these aggregates “fit” the data. These tests are how close the aggregates come to solving the revealed preference conditions for weak separability, how often each aggregate gets the direction of change correct, and how well the aggregates mimic the preference ranking from revealed preference tests. We find that, as the number of goods and assets being aggregated increases, the problems with simple summation manifest.

In this paper, I examine the role of government spending persistence on fiscal multipliers at the zero lower bound (ZLB) in a more realistic environment while keeping the model simple enough to identify mechanisms driving the result. In particular, I build on a standard dynamic New Keynesian (DNK) model with an occasionally binding ZLB and Rotemberg pricing with rebates, where the probability of hitting the ZLB and the government purchase shock are in line with US data. Moreover, I compute the multiplier in a state that mimics the Great Recession. The main findings of the paper are as follows: (1) the multiplier is non-monotonic in the persistence of government spending while the economy is at the ZLB; (2) given the persistence estimated from US data, the multiplier is 1.25; and (3) in the framework with perfect foresight or with aggregate resource cost for adjusting prices, the multiplier is around 1 or less.

This paper studies the global equilibrium dynamics implied by a Lucas’ tree asset pricing model where the representative agent is subject to temptation in consumption choices, and displays dynamic self-control preferences, as defined by Gul and Pesendorfer [(2004) Econometrica 72, 119–158.]. It shows that endogenous cycles of period 2 and higher, as well as chaotic dynamics exist provided temptation utility is sufficiently important (with respect to standard commitment utility) and sufficiently convex. For parameterizations leading to complex deterministic dynamics, a stochastic version of the model admits rational expectations equilibria displaying excess volatility with respect to the underlying fundamentals.

The empirical importance of news shocks—anticipated future shocks—in business cycle fluctuations has been explored by using only actual data when estimating models augmented with news shocks. This paper additionally exploits forecast data to identify news shocks in a canonical dynamic stochastic general equilibrium model. The estimated model shows new empirical evidence that technology news shocks are a major source of fluctuations in US output growth. Exploiting the forecast data not only generates more precise estimates of news shocks and other parameters in the model, but also increases the contribution of technology news shocks to the fluctuations.

The paper presents an agent-based model reproducing a stylized credit network that evolves endogenously through the individual choices of firms and banks. We introduce in this framework a financial stability authority in order to test the effects of different prudential policy measures designed to improve the resilience of the economic system. Simulations show that a combination of micro- and macroprudential policies reduces systemic risk but at the cost of increasing banks’ capital volatility. Moreover, the agent-based methodology allows us to implement an alternative meso regulatory framework that takes into consideration the connections between firms and banks. This policy targets only the more connected banks, increasing their capital requirement in order to reduce the diffusion of local shocks. Our results support the idea that the mesoprudential policy is able to reduce systemic risk without affecting the stability of banks’ capital structure.

This paper provides estimates of the probability of an economy hitting its effective lower bound (ELB) on the nominal interest rate and of the expected duration of such an event for eight advanced economies. To that end, a mean-adjusted panel vector autoregression with static interdependencies and the possibility of regime change is estimated. The simulation procedure produces ELB risk estimates for both the short term, where the current phase of the business cycle plays an important role, and the medium term, where the occurrence of an ELB situation is determined mainly by the equilibrium values of macroeconomic variables. The paper also discusses the ELB event probability estimates with respect to previous approaches used in the literature.