We leverage insights from machine learning to optimize the tradeoff between bias and variance when estimating economic models using pooled datasets. Specifically, we develop a simple algorithm that estimates the similarity of economic structures across countries and selects the optimal pool of...

We test the existence of the balance sheet channel of monetary policy in a middle-income country. Firm-level data scarcity and quality, in such a context, make the identification of this channel a steep challenge. To circumvent this challenge, we use panel instrumental variables estimation with...

This paper assesses the real effects of the energy reform in Mexico by looking at its impact on manufacturing output through changes in energy prices. Using sub-sector and state-level manufacturing output data, along with past variation in energy prices, we find electricity prices--relative to...

Standard models-based exclusively on macro-financial variables-have made little progress in explaining the behavior of exchange rates. In this paper, we introduce a neglected set of 'soft power' factors capturing a country's demographic, institutional, political and social underpinnings to...

Exploiting a granular panel dataset that breaks down capital inflows into FDI, portfolio and other categories, and distinguishes between credit to the household sector and to the corporate sector, we investigate the association between capital inflows and credit growth. We find that non-FDI...