We propose an evolutionary competition model to investigate the green transition of firms, highlighting the role of adjustment costs, state-dependent transition risk, and positive externalities in green technology adoption. Firms base their decisions to adopt either green or brown technologies on relative performance. To incorporate the costs of switching to another technology into their decision-making process, we adopt a novel, ad hoc crafted, replicator dynamics. Our global analysis reveals that increasing transition risk, e.g., by threatening to impose stricter environmental regulations, effectively incentivizes the green transition. Economic policy recommendations derived from our model further suggest maintaining high transition risk regardless of the industry’s level of greenness. Subsidizing the costs of adopting green technologies can reduce the risk of a failed green transition. While positive externalities in green technology adoption can amplify the effects of green policies, they do not completely eliminate the possibility of a failed green transition. Finally, evolutionary pressure reduces the extent of green economic policies required to ensure a successful green transition.

In this paper, we develop a model economy to study how financial innovations affect financial access and inequality. Financial innovations alter distribution of costs. In this way, the measure of buyers is endogenous regarding the payment method. In studying financial innovations in an economy with limited commitment, it is possible to bridge two existing literatures. When comparing stationary equilibria, we find that the results depend on the scarcity of collateral. Moreover, the expected welfare and inequality are affected by consumers access to the form of payment systems.

We study the mortgage rate channel of monetary policy transmission under two different mortgage regimes by analyzing the United States with primarily long-term fixed-rate mortgages (FRMs) and Spain with mainly annually resetting adjustable-rate mortgages (ARMs). We find a robust transmission of mortgage rate changes to spending in both regimes, with marginal propensities to consume ranging between 0.58–0.67 in Spain and 0.27–0.52 in the United States. Under ARMs, transmission is stronger when rate changes are expected to persist, whereas under FRMs, the effect is larger when rate changes are expected to revert. We further document the important role of mortgage type in shaping the variation in transmission across mortgagors—while the mortgage rate effect is fairly homogeneous across diverse household characteristics under ARMs, it is more heterogeneous under FRMs and largest among potential refinancers.

The rise of digital money may bring about privately issued money that circulates across borders and coexists with public money. This paper uses an open-economy search model with multiple currencies to study the impact of such global money on monetary autonomy – the capacity of central banks to set a policy instrument. I show that the circulation of global money can entail a loss of monetary autonomy, but it can be preserved if government policy that limits the amount or use of global money for transactions is introduced or if the global currency is subject to the threat of counterfeiting. The result suggests that global digital money and monetary autonomy can be compatible.

Extreme precipitation events have become more frequent and severe in recent years, leading to devastating natural disasters around the world. This paper investigates the impacts of extreme rainfall on corporate leverage dynamics. We find that the increase of extreme precipitation brings about a significant drop in firm’s leverage. The channel tests show that extreme rainfall would generate the recession of firm’s balance sheet and thus tighten the financing constraints, inducing firm to cut down leverage. On the other hand, intense rainfall would depress the land price and heighten local government’s debt risk, which crowds out the credit resources allocated to private sector, contributing to the deleveraging of firms. Simulations from the new Keynesian DSGE model with extreme rainfall shock and local government land finance system, lend further support to our empirical findings. Furthermore, our model shows that the welfare cost of extreme rainfall risk can amount to 2.2% of the agent’s lifetime utility. Lower welfare cost can be achieved by accommodating monetary policy and active fiscal policy.

Over recent decades, we find about $80\%$ of widening residual wage inequality to be within jobs (industry-occupation pairs). To explore the underlying drivers, we incorporate into a sorting equilibrium framework with two extensive margin channels (across-job sorting and within-job selection of a performance-pay position) and an intensive margin channel (quality of skill match), in addition to residual job productivity. We show that equilibrium sorting is positively assortative both within and across jobs. By calibrating the model to the United States in 1990 and 2000, we find the improved match quality and rising performance-pay incidence amplify each other, jointly accounting for about $90\%$ of the widening within-job wage inequality. Match quality and performance pay are particularly important in jobs with rising average wages and expansionary employment. Once performance pay and match quality channels are incorporated, job sorting becomes less important and residual job productivity becomes inconsequential throughout.

This paper investigates the welfare implications of the rise of shadow banking in China, driven by regulatory arbitrage and implicit guarantees. Although shadow banking can improve social welfare by relaxing constraints on banks’ capacity to expand credit, it may also hurt social welfare due to the risk-taking behavior induced by implicit guarantees. We study the optimal level of guarantees and shadow banking in a model that balances these benefits and costs. Our findings suggest that reducing the existing degree of guarantees and shrinking the shadow banking sector could enhance social welfare in China.

This paper investigates the stability of the demand for money in the United States and provides a comparison among the simple-sum monetary aggregates, the original (non-credit-card-augmented) Divisia monetary aggregates, and the credit-augmented Divisia and credit-augmented Divisia inside aggregates. We use quarterly data from the Center for Financial Stability and the Pesaran et al. (2001) bounds test procedure to investigate the long-run relation between the monetary aggregates and their respective user costs. In doing so, we use three classic money demand functions—the log–log, the semi-log, and the Selden and Latané specifications. With quarterly data over the 1967:q1 through 2025:q1 period, for which the original Divisia monetary aggregates are available, we find evidence of a stable money demand function only with the Sum M4 aggregate under all money demand specifications, but not with any of the Divisia aggregates. With quarterly data over the post-2006 period, for which the credit-augmented Divisia monetary aggregates are also available, our findings show that the demand for money is stable across all money demand specifications with all of the original Divisia aggregates and the credit-augmented Divisia aggregates (but not with all of the credit-augmented Divisia inside aggregates). We also find evidence of cointegration with the Sum M3 and Sum M4 aggregates under all three money demand specifications, but not with the Fed’s Sum M2 aggregate.