We study whether gender-biased financial advice contributes to the gender gap in pension wealth. Using administrative records from four private pension funds in Italy, we document that women are ceteris paribus 8 percentage points less likely than men to choose stock-focused investment lines at...

Decision-makers often rely on earlier actors but fail to correct for their biases. We model and measure two mechanisms: underestimating upstream bias and treating subjective information as ground truth. We link an original survey of 203 North Carolina prosecutors to their 505,787 cases....

This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior...

Hiring discrimination against candidates from ethnocultural minority groups is a persistent concern in contemporary labour markets. This study examines how professional recruiters evaluate fictitious job applicants with profiles that systematically vary in signals that form ethnocultural...

We study whether gender-biased financial advice contributes to the gender gap in pension wealth. Using administrative records from four private pension funds in Italy, we document that women are ceteris paribus 8 percentage points less likely than men to choose stock-focused investment lines at...

Improper quality adjustment has long been identified as a source of potential measurement bias in consumer price indices (CPIs). However, as no benchmark for quality adjustment exists, it has always been difficult to estimate a potential bias. For this paper, we develop a corridor in which...

The Financial Lobster Bias describes how SMEs, driven by distorted liquidity perceptions, engage in aggressive expansion until financial breakdown occurs. Using data from 10,412 Spanish SMEs (2000-2024), this study shows that liquidity misperception-measured through two versions of the Liquidity...

Football referees possess substantial discretion in allocating stoppage time, a decision that is comparatively opaque yet potentially consequential for match outcomes. This paper examines whether stoppage time allocation contributes to home advantage in contemporary European professional...

We present the first systematic analysis of how countries cover each other in the news, using a newly constructed dataset of 55,240 media sources from 176 countries between 2015 and 2022, drawing upon a corpus of 1.4 billion online news articles. We document a pattern of global media bias:...

Advice plays a central role in health, personal finance, and energy-efficiency decisions. We study how a benevolent expert should design verifiable advice - such as whether to commission a diagnostic test of different accuracy - when the agent is behaviorally biased, either neglecting...

We test whether forecast bias affects individual investors' stock trading by combining bias measures from laboratory experiments with administrative trade data. Forecast bias is positively associated with past excess returns of purchased stocks: Compared to contrarians, extrapolators purchase...

In 2018, the Journal of Development Economics introduced a pre-results review track, allowing prospective empirical projects to be assessed before the realization and reporting of their results. This paper studies whether this change in the editorial process affected the prevalence of p-hacking...

While content moderation began as a solution to online abuse, it has increasingly been framed as a source of abuse by a diverse coalition of users, civil society organisations, and politicians concerned with platform bias. The resulting crisis of legitimacy has motivated interest in more...

We investigate a bracketing property that purports to yield upper- and lower bounds on the treatment effects obtained from a fixed effects- and lagged dependent variable model. Referencing both analytical results and a Monte Carlo simulation, we explore the conditions under which the bracketing...

We investigate whether artificial intelligence can address the peer review crisis in economics by analyzing 27,090 evaluations of 9,030 unique submissions using a large language model (LLM). The experiment systematically varies author characteristics (e.g., affiliation, reputation, gender) and...

We study the objectivity of officiating under extreme pressure by analysing additional time played at the 2022 FIFA World Cup and 2024 UEFA European Championship. Controlling for within-match events, rules should be applied consistently across both halves of a football match. However, we argue...

Probabilistic editing has been introduced to enable valid inference using established survey sampling theory in situations when some of the collected data points may have measurement errors and are therefore submitted to an editing process. To reduce the editing effort and avoid over-editing, in...

Belief‐updating biases hinder the correction of inaccurate beliefs and lead to suboptimal decisions. We complement Rabin and Schrag's (1999) portable extension of the Bayesian model by including conservatism in addition to confirmatory bias. Additionally, we show how to identify these two...

How do perceptions of AI versus human authorship affect engagement with creative work? In an incentivized experiment, participants (N=654) assessed the content of a short story labeled as either human or AI-generated and reported their willingness to pay and work to finish reading it. Consistent...

A popular approach to perform inference on a target parameter in the presence of nuisance parameters is to construct estimating equations that are orthogonal to the nuisance parameters, in the sense that their expected first derivative is zero. Such first-order orthogonalization may, however,...