social interaction effects. Testing for such effects raises severe identification problems. We conduct an experiment that …

This paper considers the problem of identification, estimation and inference in the case of spatial panel data models … errors. A quasi maximum likelihood (QML) estimation procedure is developed and the conditions for identification of spatial …

contributes to literature on the structural identification of production functions in two ways. As a first step, it reviews the … price, and the collinearity among input factors of production. Additionally, we propose an identification strategy that …

inferential problems that persist even in large samples. In the presence of partially identification problems, we show that an … likelihood framework using the 2013 SCF data for the U.S. confirms the results from our identification experiments. …

We propose a new non-recursive identification scheme for uncertainty shocks, which exploits breaks in the unconditional … volatility of macroeconomic variables. Such identification approach allows us to simultaneously address two major questions in …

I introduce a reduced form two-sided market model to study prediction and identification in two-sided markets. The … regularities and identification strategies in the existing two-sided market and indirect network effects literatures. I conclude by …

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 …