Abstract
In the paper, the effects of subsidies to Tuscan handicraft firms are evaluated; the study is affected by missing outcome values, which cannot be assumed missing at random. We tackle this problem within a causal inference framework. By exploiting Principal Stratification and the availability of an instrument for the missing mechanism, we conduct a likelihood-based analysis, proposing a set of plausible identification assumptions. Causal effects are estimated on (latent) subgroups of firms, characterized by their response behavior.
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Mealli, F., Pacini, B., Roli, G. (2011). Evaluating the Effects of Subsidies to Firms with Nonignorably Missing Outcomes. In: Ingrassia, S., Rocci, R., Vichi, M. (eds) New Perspectives in Statistical Modeling and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11363-5_1
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DOI: https://doi.org/10.1007/978-3-642-11363-5_1
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