This paper presents the first empirical evidence of the causal impact of individuals' education on their attitudes towards traditional gender roles in Europe. We employ two national panel datasets from the UK and Switzerland and a repeated cross-sectional dataset with information from 13 Western...

This study examines the voluntary disclosure of earnings forecasts by female CEOs. We find that in the backdrop of increased pressure to perform from investors and other stakeholders, female CEOs tend to issue more earnings forecasts than male CEOs, and those forecasts are more accurate. We also...

The aim of this paper is to present novel tests for the early causal diagnostic of positive and negative bubbles in the S&P 500 index and the detection of End-of-Bubble signals with their corresponding confidence levels. We use monthly S&P 500 data covering the period from August 1791 to August...

We assess the predictive power of two measures of competitiveness for education and labor market outcomes using a large, representative panel. The first is incentivized and is an online adaptation of the laboratory-based Niederle-Vesterlund measure. The second is an unincentivized survey...

We assess the predictive power of two measures of competitiveness for education and labor market outcomes using a large, representative survey panel. The first is incentivized and is an online adaptation of the laboratory-based Niederle-Vesterlund measure. The second is an unincentivized survey...

There is a widespread belief among fundraisers that solicitations by volunteers will be more effective than solicitations by paid workers. To explore whether this belief has merit, we conduct a door-to-door fundraising experiment in which solicitors communicate their compensation status to...

This collection of papers analyzes the versatility and predictive power of survey expectations data in asset pricing and macroeconomic forecasting. The first paper, Using Sentiment Surveys to Predict GDP Growth and Stock Returns sheds new light on the question of whether or not sentiment...

Discrimination is a pervasive aspect of modern society and human relations. Statistical discrimination theory suggests that profit-maximizing employers should use all the information about job candidates, including information about group membership (e.g., race or gender), to make accurate...

Does budget transparency effectively limit the use of creative accounting to circumvent fiscal rules? Through examining a Spanish reform that limited the obligation to provide regular budget information, I study the effect of relaxing transparency rules on budget forecast errors. After the...