We continue to make advances in developing models and methods to study the dynamic behaviour of individuals and firms, the structure of the education, labour and marriage markets, and their implications for policy design and evaluation.
We compare two approaches to using information about the signs of structural shocks at specific dates within a structural vector autoregression (SVAR): imposing ‘narrative restrictions’ (NR) on the shock signs in an otherwise set-identified SVAR; and casting the information about the shock signs as a discrete-valued ‘narrative proxy’ (NP) to point-identify the impulse responses.
We designed a coaching program that focused on one aspect of teacher quality—teacher-child interactions—that researchers in education and psychology have argued is critical for child development and learning.
We consider a situation where the distribution of a random variable is being estimated by the empirical distribution of noisy measurements of that variable.
This paper studies linear panel regression models in which the unobserved error term is an unknown smooth function of two-way unobserved fixed effects.