This paper examines how the interaction between natural selection, household education choices and R&D activities influences macroeconomic growth. We develop an innovation-driven growth model that integrates household heterogeneity in educational ability with endogenous fertility and the activation of innovation. Our findings reveal that households with lower educational abilities accumulate less human capital but have more offspring and initially gain a temporary evolutionary advantage. This demographic shift enhances the likelihood of innovation taking off; however, the resulting reduction in the share of high-ability households ultimately constrains R&D efforts and slows long-term economic growth. We empirically validate our theoretical model using cross-country data and instrumental variables, demonstrating that disparities in educational ability negatively impact education, innovation and growth over the long run. This study provides new insights into the complex dynamics between natural selection, endogenous fertility and economic development, with significant implications for both policy and theory.

Differences in labour market institutions and regulations between countries of the monetary union can cause divergent responses even to a common shock. We augment a multi-country model of the euro area with search and matching framework that differs across Ricardian and hand-to-mouth households. In this setting, we investigate the implications of cross-country heterogeneity in labour market institutions for the conduct of monetary policy in a monetary union. We compute responses to demand and supply shocks under the Taylor rule, asymmetric unemployment targeting, and average inflation targeting. For each rule we distinguish between cases with lower or higher weight on the unemployment gap. Across all rules, responding to unemployment leads to lower losses of employment. Responding to unemployment reduces cross-country differences within the monetary union and consumption inequality between rich and poor households within each country.

This paper investigates both conditional and unconditional convergence in labor productivity within the manufacturing industries of the Eurozone over the period 1963 – 2018. We employ two innovative models: constant and varying-coefficient hierarchical panel data convergence regression models, each equipped with two sets of latent factor structures—one comprising global factors and the other industry-specific factors. These models offer distinct advantages, allowing for both global and industry-specific cross-sectional dependencies and permitting parameter heterogeneity across individual industries. Our findings reveal both conditional and unconditional convergence across the manufacturing industry as a whole, as well as among the majority of the 23 sub-manufacturing industries at the ISIC two-digit level. Moreover, we observe significant variation in convergence dynamics among these sub-manufacturing industries. Robustness checks, performed across different subperiods, confirm the reliability of our results. Furthermore, a comparison of our model’s outcomes with those of two alternative models provides additional support for our conclusions.

We study long-run inflation in a competitive-search model with heterogeneous agents. Under competitive search, individuals’ matching-probability (extensive) margins trade off against quantity (intensive) margins. With money and unfettered market participation, these trade-offs depend on inflation and individuals’ heterogeneous money holdings. We find that welfare falls as inflation increases. However, money-holdings inequality is not monotonic in inflation. As inflation rises, liquid-wealth inequality first falls. For sufficiently high inflation, the overall extensive-margin effect dominates the intensive margin, and liquid-wealth inequality rises. The model also poses a new computational challenge to which we propose a novel solution method.

I investigate the welfare maximizing steady-state inflation rate in a heterogeneous-agent New Keynesian model with Downward Nominal Wage Rigidity (DNWR). After matching the annual wage change distribution in the U.S., I demonstrate that DNWR has a significant impact on the economy, particularly when the inflation target is set low. The optimal inflation rate is estimated to be as high as 8.8%, and increasing the inflation target to the optimal level yields a welfare gain of nearly 3.50%. While the results exhibit sensitivity to parameterization, a broad range of calibrations indicates that the optimal inflation rate is consistently above 3%.

This article examines the interplay between fiscal policy and investments in climate change mitigation and adaptation. Adaptation is funded by public revenues from taxation and public bonds, whereas households can invest in mitigation and receive subsidies. We show that adaptation and mitigation are substitutes or complements, depending on the level of economic development and fiscal policy decisions. If the capital stock is initially low, adaptation and mitigation are complements (resp. substitutes) if the mitigation subsidy is low (resp. high). When the government is in debt, we show that increasing public spending to finance adaptation and/or mitigation could be beneficial if the capital stock is high enough but could be detrimental for countries with low capital stock. Thus, we add a new argument to the debate on the optimal mix between adaptation and mitigation, namely fiscal policy and the funding schemes of these investments. Finally, we propose extensions that consider a level of adaptation proportional to pollution flow, debt financing of public investment, and public mitigation investment alongside private adaptation investment.