This paper considers the statistical analysis of large panel data sets where even after condi-tioning on common observed effects the cross section units might remain dependently distrib-uted. This could arise when the cross section units are subject to unobserved common effects and/or if there...

This paper introduces the concepts of time-specific weak and strong cross section dependence. A double-indexed process is said to be cross sectionally weakly dependent at a given point in time, t, if its weighted average along the cross section dimension (N) converges to its expectation in...

Conflicts between management and workers are common and can have significant impacts on productivity. We study how workers in a large Bangladeshi sweater factory responded to management's decision to lay off about a quarter of the workers following a period of labor unrest. Our main finding is...

We combine phone-survey data from 2,200 students collected in July-August of 2020 with student-level administrative data from 54 schools in four Northwestern provinces of Cambodia to investigate the implications of the COVID-19 pandemic for grade 9 students. These students were particularly...

Flexible repayment schedules allow borrowers to invest in profitable yet risky projects, but practitioners fear they erode repayment morale. We study repayment choices in rigid and flexible loan contracts that allow discretion in repayment timing. To separate strategic repayment choices from...

This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...