We propose a Reinforcement Learning (RL) algorithm for generating a trading strategy in a realistic setting, that includes transaction costs and factors driving the asset dynamics. We benchmark our algorithm against the analytical optimal solution, available when factors are linear and...

Research studies show that teachers’ method of teaching causes poor students’ academic performance in physics. PI is a research-based pedagogy for teaching large introductory science courses developed to improve students’ academic performance in physics. PI is considered for solving the...

Despite the well-established importance of verbal engagement for infant language and cognitive development, many parents in low-income contexts do not converse with their infants regularly. We report on a randomized field experiment evaluating a low-cost intervention that aims to raise verbal...

We evaluate the impact of introducing a pre-primary schooling program in government schools in the Indian state of West Bengal in 2013 on children’s early enrollment in schools and subsequent test scores. Using double difference, triple difference, and synthetic control methodologies, we find...

School closures induced by the COVID-19 pandemic led to concerns about student learning. This paper evaluates the effect of school closures on student learning in Uzbekistan, using a unique dataset that allows assessing change in learning over time. The findings show that test scores in math for...