identification lies at the root of these differences. To deal with this lack of identification, we propose an identification strategy … subjective choices due to a lack of identification. We apply our methodology to the pollution-income relationship of both CO2 …

potentially mis-specified. In this paper, we focus on mis-specification in the dynamics and the dimension of the HMM. We consider …

the structure of the formula for identification. We compare this design-based approach with conventional estimation …

Identification based on higher moments has drawn increasing theoretical attention and been widely adopted in empirical …: identification strategies based on heteroskedasticity and strategkes based on non-Gaussianity more generally. I outline the seminal … identification results and discuss recent extensions, parametric and non-parametric implementations, and prominent empirical …

This paper considers nonparametric identification and estimation of the regression function when a covariate is … nonparametric identification under weak and easy-to-interpret conditions on the instrumental variable. The paper also provides …

We propose a numerical method, based on indirect inference, for checking the identification of a DSGE model. Monte …