Teaching quality is deemed one of the foundations of student achievement and institutional performance. With this, linking in-service training (INSET) and teacher professional development (TPD), to student outcomes has been at the forefront of education research. Our inquiry revolves on how to...

This paper reconsiders how labor market competition shapes skill development - integrating the perspectives of both firms and workers. While existing models often predict that firms will underinvestment in training due to a fear of poaching, we show that competition can instead serve as a...

We provide identification results for a broad class of learning models in which continuous outcomes depend on three types of unobservables: known heterogeneity, initially unknown heterogeneity that may be revealed over time, and transitory uncertainty. We consider a common environment where the...

We study a duel game in which each player has incomplete knowledge of the game parameters. We present a simple, heuristically motivated and easily implemented algorithm by which, in the course of repeated plays, each player estimates the missing parameters and consequently learns his optimal...

We examine the urban learning and schooling premium in Peru using two approaches: 1) estimating the effect of local population density on pupils' value-added in learning between grades two to eight, 2) quasi-experimental Census estimations on the effects of the duration of urban exposure in...

As an example of pedagogical approaches that blend online and face-to-face instruction, the flipped classroom model has seen exponential growth in business schools. To explore its effectiveness, expectancy-value theory and cognitive load theory were employed to develop a framework linking...

There is widespread concern that climate policy is moving too slowly and that decarbonization of economic development is coming too late for effective climate protection. We analyze three different effects that emerge endogenously during decarbonization and amplify current policies: growing...

Children appear to learn better when taught in their mother tongue. This finding gives rise to an argument that mother tongue-based multilingual education could effectively improve learning outcomes in low- and middle-income countries. However, the challenges of implementing an effective...

Do agents believe to be agreeing more with others in the long-run? This paper designs an experiment to study how cognitive abilities affect actual and perceived disagreement in a standard sequential belief updating task with public signals. We document a persistent gap in the perception of...

This paper investigates how worker beliefs and job prospects impact the wages and growth of young firms, as well as the aggregate economy. Building a heterogeneous-firm directed search model where workers gradually learn about firm types, I find that learning generates endogenous wage...

Motivation: Individual knowledge and professional learning among donor‐agency bureaucrats play a decisive role in the design and implementation of development interventions. Understanding how to provide optimal training curricula for their staff is key for these bureaucracies' effectiveness as...

This paper estimates a New Keynesian model with a nonlinearity in the monetary policy rule to capture the practice of inflation targeting with target zones or tolerance bands. Private-sector agents form subjective expectations, update their beliefs over time using a perceived model of the...

We study the standard reputation model with a long-run (LR) player facing a sequence of short-run (SR) opponents, with one difference: the SR players are uncertain about the monitoring structure, while the LR player knows it. We construct examples where the standard reputation result breaks...

Although sports are a dream career for many young people, only a small percentage of athletes can make a living from this. Moreover, even elite athletes with high incomes must find other employment after sports. This justifies the development of their human capital via education valued by...

Most social problems are "wicked", meaning that they are highly complex, intractable, open-ended, and multi-dimensional. In wicked learning environments, information is ambiguous, feedback may be slow, or causes and effects are difficult to ascertain. Using the insights from the Bloomington...

Teaching quality is deemed one of the foundations of student achievement and institutional performance. With this, linking in-service training (INSET) and teacher professional development (TPD), to student outcomes has been at the forefront of education research. Our inquiry revolves on how to...

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...

Previous research in the judge–advisor paradigm has focused on how judges utilize the wisdom of others by taking their advice and on the beneficial effect of receiving advice on judges' postadvice final judgments about the exact same problem. However, a completely different possibility of how...

We provide identification results for a broad class of learning models in which continuous outcomes depend on three types of unobservables: known heterogeneity, initially unknown heterogeneity that may be revealed over time, and transitory uncertainty. We consider a common environment where the...

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...

We develop a deep reinforcement learning (RL) framework for an optimal market-making (MM) trading problem, specifically focusing on price processes with semi-Markov and Hawkes Jump-Diffusion dynamics. We begin by discussing the basics of RL and the deep RL framework used; we deployed the...

The paper examines the early integration of Ukrainian refugee students into Italy's education system following the Russian Federation's full-scale invasion of Ukraine in 2022. Using administrative and survey data, the study presents enrollment trends, academic performance, and barriers to...