In the pursuit of development and evaluation, entrepreneurship is the key to unlocking the shackles of poverty and unemployment. However, Pakistani students often catch themselves lacking the catalyst that ignites the entrepreneurial flame due to the absence of the essential knowledge, skills,...

The rapid evolution of technology and the business landscape has introduced the Metaverse, a virtual realm with immense potential for transforming communication and collaboration. The pandemic accelerated the shift to online channels, making the Metaverse a crucial investment for businesses in...

People often form mental models based on incomplete information, revising them as new relevant data becomes available. In this paper, we experimentally investigate how individuals update their models when data on predictive variables are gradually revealed. We find that people's models tend to...

Strategic learning self-efficacy reflects the confidence of managers in their ability to learn from the outcomes of past strategic decisions and apply that knowledge to new decisions. This research examines the relationship between strategic learning self-efficacy and a firm's industry-adjusted...

We evaluate the influence on the skill premium of the task content of jobs by exploiting the text data from online job ads covering 2009-2018 (over 189,000 ads) published by one of the leading Chilean online job portals (www.trabajando.com). Our analysis tests the expected complementarity...

Personality traits, preferences, and attitudes significantly influence labor market outcomes, and these non-cognitive skills are shaped by the social environment. While curriculum interventions can impact these skills, the effect of compulsory education on noncognitive skills is less well...

We provide causal evidence from a developing country context that children exposed to lead at a young age exhibit worse cognitive outcomes. We exploit variation in exposure to leadcontaminated toxic sites in Indonesia and estimate a two-way fixed effects model using variation in age at first...

Cognitive behavioral therapy (CBT) has become a powerful and effective tool to deal with violence in many at-risk areas in the world. However, its use for gender-based violence (GBV) and dating violence, although promising, has been limited and used as a response service for survivors, rather...

This paper provides an overview of behaviors and learning of heterogeneous economic agents -whether individuals or firms- within complex evolving economies. It aims to explore the microfoundation of agency and learning, two fundamental aspects that constitutively contribute to the emergence of...

We study how individuals update their beliefs in the presence of competing datagenerating processes, or models, that could explain observed data. Through experiments, we identify the weights participants assign to different models and find that the most common updating rule gives full weight to...

We use data on Latino children in the United States who have been randomly assigned calculation tests in English or Spanish to check for the so-called bilingual advantage, the notion that knowing more than one language improves individuals' other cognitive skills. After controlling for different...

We estimate the impact of having siblings on school outcomes of first-born children. By leveraging exogenous variation in first and later IVF treatments, we construct an improved instrumental variable estimator that tackles exclusion violations and identifies causal effects for compliers and...

In this paper, we explore the interplay between personality traits, socio-emotional skills, and key life outcomes across education, employment, social connectedness, health, and civic participation. Drawing on a rich body of research, we highlight the significant impact of socio-emotional...

We analyze administrative and genetic data from over 200,000 Danes to study the effects of genetic risk for Alzheimer's Disease (AD) on labor market outcomes. Higher AD genetic risk increases dementia diagnoses and GP visits for both genders. Among women aged 45–65, it reduces labor...

This study examines the implications of artificial intelligence (AI) on employment, wages, and inequality in Latin America and the Caribbean (LAC). The paper identifies tasks and occupations most exposed to AI using comprehensive individual-level data alongside AI exposure indices. Unlike...