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Working Paper
The Inflationary Effects of Sectoral Reallocation
The COVID-19 pandemic has led to an unprecedented shift of consumption from services to goods. We study this demand reallocation in a multi-sector model featuring sticky prices, input-output linkages, and labor reallocation costs. Reallocation costs hamper the increase in the supply of goods, causing inflationary pressures. These pressures are amplified by the fact that goods prices are more flexible than services prices. We estimate the model allowing for demand reallocation, sectoral productivity, and aggregate labor supply shocks. The demand reallocation shock explains a large portion of ...
Working Paper
Bubbly Recessions
We develop a tractable rational bubbles model with financial frictions, downward nominal wage rigidity, and the zero lower bound. The interaction of financial frictions and nominal rigidities leads to a "bubbly pecuniary externality," where competitive speculation in risky bubbly assets can result in excessive investment booms that precede inefficient busts. The collapse of a large bubble can push the economy into a "secular stagnation" equilibrium, where the zero lower bound and the nominal wage rigidity constraint bind, leading to a persistent and inefficient recession. We evaluate a ...
Working Paper
Usual Shocks in our Usual Models
We propose an event-study research design to identify the nature and propagation of large unusual shocks in DSGE models and apply it to study the macroeconomic effects of the Covid shock. The initial outbreak is represented as the onset of a new shock process where the shock loads on wedges associated with the model's usual shocks. Realizations of the Covid shock come with news about its propagation, allowing us to disentangle the role of beliefs about the future of the pandemic. The model attributes a crucial role to the novel Covid shock in explaining the large contraction in output in the ...
Working Paper
What is Measured in National Accounts?
Most statistical agencies construct sectoral real GDP using double deflation and base period prices. When the base period price used for intermediate inputs is not equal to their marginal revenue product, such as when firms apply a markup, real GDP fluctuations become mechanically linked to variations in intermediate inputs. This is because these inputs generate profits that are incorporated into real value added. Taking this channel into account, we demonstrate that real GDP reported in national accounts substantially diverges from a theory-consistent "physical" value added. This, in turn, ...
Report
A Parsimonious Behavioral SEIR Model of the 2020 COVID Epidemic in the United States and the United Kingdom
I present a behavioral epidemiological model of the evolution of the COVID epidemic in the United States and the United Kingdom over the past 12 months. The model includes the introduction of a new, more contagious variant in the UK in early fall and the US in mid December. The model is behavioral in that activity, and thus transmission, responds endogenously to the daily death rate. I show that with only seasonal variation in the transmission rate and pandemic fatigue modeled as a one-time reduction in the semi-elasticity of the transmission rate to the daily death rate late in the year, the ...
Working Paper
Trade Risk and Food Security
We study the role of international trade risk for food security, the patterns of production and trade across sectors, and its implications for policy. We document that food import dependence across countries is associated with higher food insecurity, particularly in low-income countries. We provide causal evidence on the role of trade risk for food security by exploiting the exogeneity of the Ukraine-Russia war as a major trade disruption limiting access to imports of critical food products. Using micro-level data from Ethiopia, we empirically show that districts relatively more exposed to ...
Working Paper
Does Unemployment Risk Affect Business Cycle Dynamics?
In this paper, I show that the decline in household consumption during unemployment spells depends on both liquid and illiquid asset positions. I also provide evidence that unemployment spells predict the withdrawal of illiquid assets, particularly when households have few liquid assets. Motivated by these findings, I embed endogenous unemployment risk in a two-asset heterogeneous-agent New Keynesian model. The model is consistent with the above evidence and provides a new propagation mechanism for aggregate shocks due to a flight-to-liquidity that occurs when unemployment risk rises. This ...
Working Paper
The Moderating Role of Green Energy and Energy-Innovation in Environmental Kuznets: Insights from Quantile-Quantile Analysis
The recent environmental challenges in Africa that emanated from global warming, human activity, limited access to electricity and overexploitation of natural resources have contributed to the growth of carbon dioxide (CO2) emissions in the region. This paper empirically investigates the moderating role of green energy consumption and energy innovation in the environmental Kuznets curve for the Sub-Saharan African (SSA) region using data spanning from 1980 to 2018. Our threshold model found that at least 54 percent of the population needs access to energy innovation before the region could be ...
Working Paper
Regressive Welfare Effects of Housing Bubbles
We analyze the welfare effects of asset bubbles in a model with income inequality and financial friction. We show that a bubble that emerges in the value of housing, a durable asset that is fundamentally useful for everyone, has regressive welfare effects. By raising the housing price, the bubble benefits high-income savers but negatively affects low-income borrowers. The key intuition is that, by creating a bubble in the market price, savers' demand for the housing asset for investment purposes imposes a negative externality on borrowers, who only demand the housing asset for utility ...
Working Paper
Tempered Particle Filtering
The accuracy of particle filters for nonlinear state-space models crucially depends on the proposal distribution that mutates time t-1 particle values into time t values. In the widely-used bootstrap particle filter this distribution is generated by the state-transition equation. While straightforward to implement, the practical performance is often poor. We develop a self-tuning particle filter in which the proposal distribution is constructed adaptively through a sequence of Monte Carlo steps. Intuitively, we start from a measurement error distribution with an inflated variance, and then ...