We show that children who are born at the weekend or just before are less likely to be breastfed, owing to poorer breastfeeding support services at weekends. We use this variation to estimate the effect of breastfeeding on children’s development for a sample of uncomplicated births from...

We propose an instrumental variables method for inference in high-dimensional structural equations with endogenous regressors. The number of regressors K can be much larger than the sample size. A key ingredient is sparsity, i.e., the vector of coefficients has many zeros, or approximate...

We show that children who are born at the weekend or just before are less likely to be breastfed, owing to poorer breastfeeding support services at weekends. We use this variation to estimate the effect of breastfeeding on children's development for a sample of uncomplicated births from low...

Interpreted as an instrumental variables estimator, nonlinear least squares constructs its instruments optimally from the explanatory variables using the nonlinear specification of the regression function. This has implications for the use of GMM estimators in nonlinear regression models,...