This paper links the current sub-prime mortgage crisis to a decline in lending standards associated with the rapid expansion of this market. We show that lending standards declined more in areas that experienced larger credit booms and house price increases. We also find that the underlying...

This paper uses vector autoregressions and impulse-response functions to construct a U.S. financial conditions index (FCI). Credit availability-proxied by survey results on lending standards-is an important driver of the business cycle, accounting for over 20 percent of the typical contribution...

We present a framework that clarifies the financial role of the IMF, the rationale for conditionality, and the conditions under which IMF-induced moral hazard can arise. In the model, traditional conditionality commits country authorities to undertake crisis resolution efforts, facilitating the...

Credit ratings have contributed to the current financial crisis. Proposals to regulate credit rating agencies focus on micro-prudential issues and aim at reducing conflicts of interest and increasing transparency and competition. In contrast, this paper argues that macro-prudential regulation is...

We provide new firm-level evidence on the effects of capital account liberalization. Based on corporate foreign-currency credit ratings data and a novel capital account restrictions index, we find that capital controls can substantially limit access to, and raise the cost of, foreign currency...

This paper investigates the behaviour of credit rating agencies using a natural experiment in monetary policy. We exploit the corporate QE of the Eurosystem and its rating-based specific design which generates exogenous variation in the probability for a bond of becoming eligible for outright...

This paper combines labor force survey microdata with measures of occupational AI exposure and complementarity to examine the potential impact of recent advancements in AI on the Philippine labor market. We find that around one third of workers are highly exposed to AI with around sixty percent...

Since 1980, income levels in Latin America and the Caribbean (LAC) have shown no convergence with those in the US, in stark contrast to emerging Asia and emerging Europe, which have seen rapid convergence. A key factor contributing to this divergence has been sluggish productivity growth in LAC....

This paper empirically investigates the impact of Artificial Intelligence (AI) on employment. Exploiting variation in AI adoption across US commuting zones using a shift-share approach, I find that during 2010-2021, commuting zones with higher AI adoption have experienced a stronger decline in...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting performance by incorporating a wider range of variables, allowing for non-linear relationships,...