Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical … practice. This paper considers uncertainty over models that impose different identifying assumptions, which can lead to a mix … of point‐ and set‐identified models. We propose performing inference in the presence of such uncertainty by generalizing …

Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical … practice. This paper considers uncertainty over models that impose different identifying assumptions, which, in general, leads … to a mix of point- and set-identified models. We propose performing inference in the presence of such uncertainty by …

Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical … practice. This paper considers uncertainty over models that impose different identifying assumptions, which, in general, leads … to a mix of point- and set-identified models. We propose performing inference in the presence of such uncertainty by …

We present a global sensitivity analysis that quantifies the impact of parameter uncertainty on model outcomes …

An evaluation of the existing hydrothermal energy economics related quantitative studies is provided. The objective is … on the energy price estimates. A brief summary of the study categories, economic evaluation methodology, technical and … important technical and economic factors on the cost of energy are discussed. The sensitivity analysis results provided are …