Currency crises inflict significant social and economic costs on economies that have suffered its occurrence. Thus, statistical models have been developed over the years to construct reliable early warning systems as part of strategies for preventing or reducing the devastating effects of such...

We provide the first behavioral characterization of nested logit, a foundational and widely applied model in discrete choice. We take a revealed preference approach to identify the underlying notion of similarity and use it to characterize a non-parametric version of nested logit we call Nested...

We employ two methodologies in order to identify groupings of cities and to analyse the factors which drive convergence in residential prices across Polish prime markets over the period 2007-2018. The Phillips and Sul (2007) methodology is first used to identify convergence in primary...

We estimate the demand for health insurance in the California Affordable Care Act marketplace (Covered California) without using parametric assumptions about the unobserved components of utility. To do this, we develop a computational method for constructing sharp identified sets in a...

We estimate the demand for health insurance in the California Affordable Care Act marketplace (Covered California) without using parametric assumptions about the unobserved components of utility. To do this, we develop a computational method for constructing sharp identified sets in a...

We estimate the demand for health insurance in the California Affordable Care Act marketplace (Covered California) without using parametric assumptions about the unobserved components of utility. To do this, we develop a computational method for constructing sharp identified sets in a...