We develop a dynamic model of input–output networks that incorporates adjustment costs of changing inputs. Our closed-form solution for the dynamics of the economy shows that temporary shocks to upstream sectors, whose output travels through long supply chains, have disproportionately significant welfare impact compared to affected sectors’ Domar weights. We conduct a spectral analysis of the U.S. production network and reveal that the welfare impact of temporary sectoral shocks can be represented by a low-dimensional, 3-factor structure.

We analyze an implementation of an optimal disability insurance system as a competitive equilibrium with taxes. An optimum is implemented by an asset‐tested disability system in which a disability transfer is paid only if an agent has assets below a specified maximum. The logic behind this result is that an agent who plans to falsely claim disability (a) finds doing so unattractive if he does not adjust his savings and (b) cannot collect disability insurance if he does adjust his savings in the desired direction (upward). For a calibrated economy, we find that welfare gains from asset testing are significant.

We study the structure of non-linear taxes in a dynamic economy subject to political economy problems. In contrast to existing literature, taxes are set by a self-interested politician, without any commitment power, who is partly controlled by the citizens. We prove that: (1) a version of the revelation principle applies; and (2) the provision of incentives to politicians can be separated from the provision of incentives to individuals. Using these results, we provide conditions under which distortions created by political economy problems persist or disappear. We then extend these results to environments with partially benevolent governments and potential ex post conflict among the citizens.

We study the provision of dynamic incentives to self-interested politicians who control the allocation of resources in the context of the standard neoclassical growth model. Citizens discipline politicians using elections. We show that the need to provide incentives to the politician in power creates political economy distortions in the structure of production, which resemble aggregate tax distortions. We provide conditions under which the political economy distortions persist or disappear in the long run. If the politicians are as patient as the citizens, the best subgame perfect equilibrium leads to an asymptotic allocation where the aggregate distortions arising from political economy disappear. In contrast, when politicians are less patient than the citizens, political economy distortions remain asymptotically and lead to positive aggregate labor and capital taxes.

We analyze the consequences of noisy information aggregation for investment. Market imperfections create endogenous rents that cause overinvestment in upside risks and underinvestment in downside risks. In partial equilibrium, these inefficiencies are particularly severe if upside risks are coupled with easy scalability of investment. In general equilibrium, the shareholders’ collective attempts to boost value of individual firms leads to a novel externality operating through price that amplifies investment distortions with downside risks but offsets distortions with upside risks.

We develop a model of political competition with endogenous turnout and endogenous platforms. Parties trade off incentivizing their supporters to vote and discouraging the supporters of the competing party from voting. We show that the latter objective is particularly pronounced for a party with an edge in the political race. Thus, an increase in political support for a party may lead to the adoption of policies favoring its opponents so as to asymmetrically demobilize them. We study the implications for the political economy of redistributive taxation. Equilibrium tax policy is typically aligned with the interest of voters who are demobilized.

We study optimal redistribution and insurance in a life-cycle economy with private idiosyncratic shocks. We characterize Pareto optima, show the forces determining optimal labor distortions, and derive closed form expressions for their limiting behavior. The labor distortions for high-productivity shocks are determined by the labor elasticity and the higher moments of the shock process; the labor distortions for low-productivity shocks are determined by the autocorrelation of the shock process, redistributive objectives, and past distortions. In a model calibrated using newly available estimates of idiosyncratic shocks, the labor distortions are U-shaped and the savings distortions generally increase in current earnings.

We develop a model of currency crises, in which traders are heterogeneously informed, and interest rates are endogenously determined in a noisy rational expectations equilibrium. In our model, multiple equilibria result from distinct roles an interest rate plays in determining domestic asset market allocations and the devaluation outcome. Except for special cases, this finding is not affected by the introduction of noisy private signals. We conclude that the global games results on equilibrium uniqueness do not apply to market-based models of currency crises.

We study noisy aggregation of dispersed information in financial markets without imposing parametric restrictions on preferences, information, and return distributions. We provide a general characterization of asset returns by means of a risk‐neutral probability measure that features excess weight on tail risks. Moreover, we link excess weight on tail risks to observable moments such as forecast dispersion and accuracy, and argue that it provides a unified explanation for several prominent cross‐sectional return anomalies. Simple calibrations suggest the model can account for a significant fraction of empirical returns to skewness, returns to disagreement, and interaction effects between the two.

We establish that cryptocurrency returns are driven and can be predicted by factors that are specific to cryptocurrency markets. Cryptocurrency returns are exposed to cryptocurrency network factors but not cryptocurrency production factors. We construct the network factors to capture the user adoption of cryptocurrencies and the production factors to proxy for the costs of cryptocurrency production. Moreover, there is a strong time-series momentum effect, and proxies for investor attention strongly forecast future cryptocurrency returns.