We quantify the importance of idiosyncratic health risk in a calibrated general equilibrium model of Social Security. We construct an overlapping generations model with rational-expectations households, idiosyncratic labor income and health risk, profit-maximizing firms, incomplete insurance markets, and a government that provides pensions and health insurance. We calibrate this model to the US economy and perform two computational experiments: $\left (i\right)$ cutting Social Security’s payroll tax, and $\left (ii\right)$ modifying Social Security’s benefit-earnings rule. Our findings suggest that health risk amplifies the welfare implications of both experiments: downsizing Social Security always leads to higher overall welfare, but the welfare gain is larger when we account for health risk, and increasing the progressivity of Social Security’s benefit-earnings rule has a larger positive effect on welfare in the presence of health risk. We also find that allowing households additional tools to self-insure against health risk weakens the precautionary motive, so our experiments have similar welfare implications both with and without health risk.

This paper analyzes how idiosyncratic risk, measured by the variance of firm-level idiosyncratic shocks, affects long-run growth when bankruptcy costs are present. These costs are incurred by creditors during the bankruptcy procedure of failing firms. In an endogenous growth model with bankruptcy costs where firms privately observe the outcome of idiosyncratic shocks, an increase in idiosyncratic risk reduces long-run growth. This happens because, when bankruptcy costs are present, higher idiosyncratic risk enlarges the wedge between the rental rate of capital and its marginal product, thereby slowing down capital accumulation. This growth-reducing effect of idiosyncratic risk is stronger when bankruptcy costs are higher. Empirical support for these propositions is provided in a growth regression that exploits cross-country variations in the dispersion of firms’ real sales growth as a proxy for idiosyncratic risk along with recovery rates as a measure that proxies the inverse of bankruptcy costs.

In response to the recession brought about by the COVID-19 pandemic, EU-wide macroeconomic policy has launched an unprecedented coordinated fiscal expansion across the EU (Next Generation EU or NGEU), financed by issuing common debt. Given NGEU’s nature, it is essential to take fiscal spillovers into consideration when assessing the overall macroeconomic effects of this fiscal expansion. We quantify the effects of the additional public investment for all Member States in a rich macro-model with a trade structure. Our model suggests that, on average, GDP effects are around one-third larger when explicitly accounting for the spillover effects from individual-country measures. For small open economies with smaller NGEU allocations, spillover effects account for the bulk of the GDP impact. We also quantify key transmission channels.

This paper demonstrates that, in a large class of linear-quadratic models with rational expectations, losses due to time-inconsistency problems can be avoided, as the commitment solution can be implemented by a policy-maker who acts under discretion. We focus on two approaches. First, we show that a non-Markovian, reputational equilibrium that implements the commitment solution always exists. Second, we show how delegation to a policy-maker with an additional objective for the policy instrument can be used to implement the commitment solution via a standard discretionary Markov equilibrium. Implementation is facilitated by the fact that the commitment outcome can be attained irrespective of the weight that the policy-maker assigns to the additional target. Using the standard new Keynesian model as an example, we study the dynamics of the economy under optimal additional output targets as well as optimal interest-rate targets for central banks.

We estimate a logit mixture vector autoregressive model describing monetary policy transmission in the euro area with a special emphasis on credit conditions. With the help of this model, monetary policy transmission can be described as mixture of two states, using an underlying logit model determining the relative state weights over time. We show that a widening of the credit spread and a tightening of credit standards directly lead to a reduction of real GDP growth, whereas shocks to the quantity of credit are less important in explaining growth fluctuations. The credit spread and—to some extent—credit standards are also the key determinants of the underlying state of the economy; the prevalence of the crisis state is more pronounced in times of adverse credit conditions. Together with a stronger shock transmission in the crisis state, this provides further evidence for a financial accelerator in the euro area.

Carbon pricing aims to shift the risk-adjusted returns on investment in favor of green technologies vis-‘a-vis fossil investment, relying on efficient capital markets to redirect investment accordingly. Capital markets with financial frictions can distort this transmission of climate policy. This study analyses the impact of emission taxes on mitigation and low-carbon investment in the presence of financial frictions. We develop a two-sector environmental dynamic stochastic general equilibrium model calibrated to the Euro Area, to simulate an economic transition in line with the EU climate targets. Financial frictions dampen the response of the economy to the carbon tax such that the emissions target will be missed by 11 percentage points. Moreover, the adverse effects of financial frictions increase when climate policy is delayed. We further identify a volume and a risk effect that drive the impact of a financial wealth shock and an uncertainty shock on emission intensity.

This paper estimates a model using Bayesian methods and data from the USA (1990Q1–2019Q2) to explore how the financial sector contributes to business cycles through banks’ asset channel and the quality of capital adequacy constraint. The paper shows that the contribution of financial and non-financial shocks varied before, during, and after the 2008 financial crisis; housing demand and asset price shocks are the main contributors, and the credit shocks are the most persistent. In addition, the paper presents the application of macroprudential tools, along with their impact on the economy in general, and on welfare in particular. The findings illustrate that the tools which control household borrowing ability, such as loan-to-value or debt-to-income ratios, do not impact welfare significantly. However, the impact of policies on the leveraged sector is substantial. The paper proposes macroprudential policies that allow policy-makers to stabilize the economy without changing welfare. Such policies, however, should be timely, targeted, and temporary; otherwise, they may cause disruptions.

In the USA, the linkages between the housing market, the credit market, and the real sector have been striking in the past decades. To explain these linkages, I develop a small-scale dynamic stochastic general equilibrium (DSGE) model in which agents update non-rational beliefs about future house price growth, in accord with recent survey data evidence. Both standard productivity shocks and shocks in the credit sector generate endogenously persistent booms in house prices. Long-lasting excess volatility in house prices, in turn, affects the financial sector and propagates to the real sector. This amplification and propagation mechanism improves the ability of the model to explain empirical puzzles in the US housing market and to explain the macro-financial linkages during 1985−2019. The learning model can also replicate the predictability of forecast errors evidenced in recent survey data.

Typically, contractionary monetary policy shocks increase the nominal and real rate of interest, which reduces both inflation and output . In contrast, the neo-Fisher effect (NFE) suggests that a transitory but persistent increase in the nominal rate of interest increases inflation in the short run. In a New Keynesian model augmented with several frictions, including the cost channel of monetary policy, real wage rigidity, habit formation in consumption, dampened expectations, and anticipated monetary policy shocks, we derive analytical conditions that give rise to (or avert) the NFE. We show that the NFE can arise due to the interplay between these frictions, and not only when the persistence of the policy shock is large, or when agents are forward-looking, as documented by the existing literature.