hours of work since the nineteenth century. His explanation rested on an explicit resolution of the identification problem … inherent in any quantity (hours) - price (wage) relation. For over forty years, researchers have neglected this identification …

causal parameters from their identification. He showed that causal parameters are de fined using hypothetical models that … Pearl in securing identification of economic models. We extend our framework to consider models for simultaneous causality …

We show that the main nonparametric identification finding of Abbring and Van den Berg (2003b, Econometrica) for the … identification is based on the competing-risks identification result of Abbring and Van den Berg (2003a, Journal of the Royal …

Probit and logit models typically require a normalization on the error variance for model identification. This paper … which the error variances are identified. This identification allows the effects of group differences in the latent variable …

requiring identification through a two-step estimation procedure, which we estimate using Current Population Survey (CPS) data …

In absence of randomized controlled experiments, identification is often aimed via instrumental variable (IV … design credible identification strategies, aforemost finding candidates for valid instruments. We discuss prominent IV …

. We prove full identification without functional-form restrictions and we estimate models with data on twin pairs from the …

interventions. The identification of such causal mechanisms is challenging and typically requires strong assumptions. This paper … discusses identification and estimation of natural direct and indirect effects in so-called double randomization designs that … outcome. We show that such designs allow for identification based on an assumption that is weaker than the assumption of …