学术论文

This paper studies telework as an opportunity to increase women’s labor force participation in Mexico. Using data on the availability and use of information technology in households, the paper models women’s labor force participation and worksite ...

In this paper we examine the effects of generative artificial intelligence (gen AI) on labour productivity. In September 2023, Ant Group introduced CodeFuse, a large language model (LLM) designed to assist programmer teams with coding. While one g...

Investment funds hold a disproportionately larger fraction of domestic relative to foreign stocks. Stock market development and familiarity (language and distance) are considered key determinants for home bias. The literature neglects however that...

The global economic institutions that grew from the Bretton Woods conference of 1944 aimed to create a cooperative policy environment conducive to recovery, development, continuing prosperity, social stability, and democracy. Prominent in the mind...

Governments and nongovernmental organizations around the world utilize Community-Driven Development (CDD) approaches to address complex and overlapping development challenges. Despite consistent evidence on some impacts of CDD—especially improveme...

Although there is growing global momentum behind food systems strategies to improve planetary and human health—including nutrition—there is limited evidence of what types of food systems interventions work. Evaluating these types of interventions ...

I propose a general equilibrium model with endogenous defaults and a banking sector operating under a Value-at-Risk constraint. Analytical examination reveals that (a) the Value-at-Risk rule introduces a risk premium on bank lending, (b) this risk...

We shed light on the demand for a central bank digital currency (CBDC) as a means of payment, based on survey payment data. We provide a quantitative framework to assess transactional demand for CBDC at the point of sale, accommodating a wide rang...

A digital euro would provide the general public with an additional means of payment in the form of risk-free central bank money in digital form that is universally accepted for digital payments across the euro area. A digital euro would offer a wi...

The evidence suggests that monetary policy transmission is asymmetric over the business cycle. Interacting financing frictions with a preference for liquidity provides an explanation for this fact. Our mechanism generates monetary asymmetries in a...

We study how millions of granular and weekly household scanner data combined with machine learning can help to improve the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual produ...

We evaluate the effects of contagion and common exposure on banks’ capital through a regression design inspired by the structural VAR literature and derived from the balance sheet identity. Contagion can occur through direct exposures, fire sales,...

The coexistence of several definitions of green jobs and measurement instruments gives room for mismatches between those concepts and their application to research questions. This paper first presents an organizing framework for the existing defin...

This paper conducts a correspondence study to assess demand for soft skills in the context of hiring discrimination in Malaysia. No evidence of gender-based discrimination is found, including in science, technology, engineering, and mathematics oc...

The labour income share plays a key role as a parameter in macroeconomic models and has motivated a body of literature with regards to its apparent decline. Despite its crucial importance, there exists no robust consensus on how to quantify the la...

Decentralised finance (DeFi) lending protocols have experienced significant growth recently, yet the motivations driving investors remain largely unexplored. We use granular, transaction-level data from Aave, a leading player in the DeFi lending m...

We study the relationship between government debt and interest rates in an environment where financial market participants have limited foresight about the future path of government debt. We show that limited foresight substantially attenuates est...

This paper examines the link between industrial production and the sentiment expressed in natural language survey responses from U.S. manufacturing firms. We compare several natural language processing (NLP) techniques for classifying sentiment, r...