This paper exploits an unusual policy reform that had the effect of reducing the direct cost of schooling in Ireland in the late 1960’s. This gave rise to an increased level of schooling but with effects that vary substantially across family background. This interaction of educational reform...

We structurally estimate a novel job search model with endogenous job search effort, job quality dispersion, and effort monitoring, taking into account that monitoring effects may be mitigated by on-the-job search and search channel substitution. The data are from a randomized experiment...

This paper estimates a model of dynamic intrahousehold investment behavior which incorporates family fixed effects and child endowment heterogeneity. This framework is applied to large American and British survey data on birth outcomes, with focus on the effects of antenatal parental smoking and...

Using a rich sample of students from French junior high schools with a panel structure, we obtain small but significant and negative effects of class size on probabilities of educational success, in grades 6 and 7. An 8 to 10 student reduction of class size puts the child of a non-educated...

This paper models fluctuations in regional disaggregates as a non-stationary, dynamically evolving distribution. Doing so enables the study of the dynamics of aggregate fluctuations jointly with those of the rich cross-section of regional disaggregates. For the United States, the leading state...

This paper asks two questions. First, can we detect empirically whether the shocks recovered from the estimates of a structural VAR are truly structural? Second, can the problem of non-fundamentalness be solved by considering additional information? The answer to the first question is 'yes' and...

This paper shows consistency of a two step estimator of the parameters of a dynamic approximate factor model when the panel of time series is large (n large). In the first step, the parameters are first estimated from an OLS on principal components. In the second step, the factors are estimated...

This paper considers quasi-maximum likelihood estimations of a dynamic approximate factor model when the panel of time series is large. Maximum likelihood is analyzed under different sources of misspecification: omitted serial correlation of the observations and cross-sectional correlation of...

This paper analyses the use of factor analysis for instrumental variable estimation when the number of instruments tends to infinity. In particular, we focus on situations where many weak instruments exist and/or the factor structure is weak. Theoretical results, simulation experiments and...