Given data on a scalar random variable 𝑌, a prediction set for 𝑌 with miscoverage level 𝛼 is a set of values for 𝑌 that contains a randomly drawn 𝑌 with probability 1 - 𝛼, where 𝛼 ∈ (0, 1). Among all prediction sets that satisfy this coverage property, the oracle...

We estimate the causal effect of exposure to math during high school on university major choice and performance, using a unique administrative dataset of 1,396 twins extracted from the entire student population enrolled between 2011 and 2021 at an Italian university. We apply a Twin Fixed Effect...

The propensity score defining the probability of completing a given degree of education - to balance covariates - and the Mincer equation is here estimated at various degrees of higher education. The novelty is in implementing propensity score and regression estimators together in a...

This study evaluates the socioeconomic effects of educational policies implemented between 2010 and 2024 within the context of the Fourth Industrial Revolution, focusing on the labor demand for professionals with advanced competencies. Using a quantitative analysis based on microdata from the...

The COVID-19 pandemic caused widespread disruptions to education, with school closures affecting over one billion children. These closures, aimed at reducing virus transmission, resulted in significant learning losses, particularly in mathematics and science. Using United States data from TIMSS,...

This study employs 2011 Census data linked to population-based administrative datasets to explore disparities in educational attainment and earnings trajectories among Australian-born children of diverse parental migration backgrounds from mid-adolescence to early adulthood. Non-English Speaking...

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...

Do employers seek to attract individuals with more education because it enhances human capital or because it signals higher levels of pre-existing traits? We experimentally vary master's degree completion rates on applicant r'esum'es and examine how this influences candidates' desirability and...

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...

How do students' earnings expectations differ by being the first in their family to attend university (FiF) and how do they affect field of study choice? We leverage unique survey and administrative data to document sizable gaps in expected earnings between FiF and non-FiF students. Our data can...

Purpose - This study estimates returns to higher education across different fields in Thailand for 2019 and 2021, accounting for field selection endogeneity. The comparison offers insights into the impact of the pandemic and other economic shocks on the returns. Design/methodology/approach - The...

How do students’ earnings expectations differ by being the first in their family to attend university (FiF) and how do they affect field of study choice? We leverage unique survey and administrative data from a German university to document sizable gaps in expected earnings between FiF and...

Do employers seek to attract individuals with more education because it enhances human capital or because it signals higher levels of pre-existing traits? We experimentally vary master's degree completion rates on applicant résumés and examine how this influences candidates' desirability and...

Do employers seek to attract individuals with more education because it enhances human capital or because it signals higher levels of pre-existing traits? We experimentally vary master’s degree completion rates on applicant résumés and examine how this influences candidates’ desirability...

The report is organized into six main sections. The first section provides an overview of the context in Edo. Section two summarized the central interventions part of EdoBESST and how they are based on the available evidence. Section three assesses the impact of interventions in terms of outputs...

This paper introduces Parameter Estimation by Raw Moments (PERM), a flexible method for evaluating a policy's impact on the parameters of an outcome distribution. Such parameters include the variance (E[Y 2 ]−E[Y] 2 ), skewness and covariance of two outcomes. PERM simplifies distributional...

Teacher education and development in the Philippines face serious challenges, including underperforming teacher education institutions (TEIs), inadequate and often misguided professional development systems, and an unclear career progression track. A particular concern grows with the...

In this paper, we investigate whether better schools can compensate for the effects of children’s genetic differences. To this end, we combine data from the Norwegian Mother, Father, and Child Cohort Study (MoBa) with Norwegian register data to estimate the interaction between genetic...

How do students' earnings expectations differ by being the first in their family to attend university (FiF) and how do they affect field of study choice? We leverage unique survey and administrative data to document sizable gaps in expected earnings between FiF and non-FiF students. Our data can...

The COVID-19 pandemic caused widespread disruptions to education, with school closures affecting over one billion children. These closures, aimed at reducing virus transmission, resulted in significant learning losses, particularly in mathematics and science. Using United States data from TIMSS,...

Using Israeli data, we establish that the interaction between school entrance age (SEA) policy and youth employment laws increases high school dropout rates among students who start school older - particularly males. This is because these students become eligible for employment at an earlier...

Many studies have documented that a phonics approach is an essential component in the teaching of reading for beginning readers, especially for students at risk of reading disabilities. We study whether phonics approaches, as indicated by the choice of basal readers (materials for the initial...

The 1924 Immigration Act excluded immigrants from economically developing countries to the point of their near total exclusion. Forty years later, the 1965 Immigration and Nationality Act eliminated most discriminatory county-of-origin barriers. America's doors opened and immigration from...

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...

This paper is the first to provide, in the European context, credible causal estimates for the impact on educational achievement of a means-tested programme that subsidises school lunches. We use administrative data from the city of Barcelona for the whole universe of applications to the...

This study explores the preference for remote work by sending thousands of randomized messages to tutors advertising on an online platform across Greece. The messages requested either in-person or online tutoring. Requests for online lessons were roughly 50 percent more likely to receive a...

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 estimate the causal effect of exposure to math during high school on university major choice and performance, using a unique administrative dataset of 1,396 twins extracted from the entire student population enrolled between 2011 and 2021 at an Italian university. We apply a Twin Fixed Effect...

After growing substantially during the 1980s through the early 2000s, the college wage premium more recently has been largely unchanged, or stagnant. We extend the canonical production-function model of skill premiums to assess supply and demand contributions to the slowdown in the college wage...

How do students' earnings expectations differ by being the first in their family to attend university (FiF) and how do they affect field of study choice? We leverage unique survey and administrative data from a German university to document sizable gaps in expected earnings between FiF and...

This paper examines how offshoring affects worker skill demands and studies its implications for wage inequality. Using Danish administrative data, we find that offshoring increases firm-level demand for higher skills in occupations with high exposure to foreign competition. This effect is more...

Non-Compete Agreements (NCAs) restrict workers from joining or forming rival companies, which impacts labor market dynamics. Theoretical perspectives on NCAs are varied: they can lead to increased employer investment and higher wages by reducing labor turnover, or they might simply raise wages...

We employ a regression model with spillover effects to show that the impact of peer quality on wages is quite large. We estimate that a 10 percent increase in peer quality implies a 2.1 percent increase in an individual's wage. In addition, we estimate the external returns to education using a...

We estimate the effect of speaking Spanish as an additional language (SAL)—as opposed to speaking it as a native—on education, labor, and wellbeing outcomes among Mexico's indigenous ethno-linguistic minorities. Controls are appropriately comparable indigenous individuals who speak only...

Economists and policymakers in many developed countries regard digitalization and robotic automation as drivers of increased productivity and economic growth. However, these innovations increase the wage gap (skill premium) between unskilled and information technology (IT)-skilled workers. This...

Understanding the labour market impact of new, autonomous digital technologies, particularly generative or other forms of artificial intelligence (AI), is currently at the top of the research and policy agenda. Many initial studies, though not all, have shown that there is a wage premium to AI...

We measure human capital using the self-reported skill sets of nearly 9 million U.S. college graduates from professional profiles on LinkedIn. We aggregate skill strings into 48 clusters of general, occupation-specific, and managerial skills. Multidimensional skills can account for several...

We investigate whether better schools can compensate for the effects of children's genetic differences. To this end, we combine data from the Norwegian Mother, Father, and Child Cohort Study (MoBa) with Norwegian register data to estimate the interaction between genetic endowments and school...