In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, ...
A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Identifying causal relationships from observational data is not easy. Still, ...
Panel survey data have been gaining importance in marketing. However, one challenge of estimating econometric models based on panel survey data is how to account for underreporting; that is, ...
When direct measures of response error are not available in multiwave panel data, latent Markov chain models can provide a useful framework for analysis of response ...
WEST LAFAYETTE, Ind. — Companies and governments have regularly invested in solar farms and lost money when weather degradation unexpectedly cut panel lifetime short. As electricity generated from ...
Abstract:This paper uses a dynamic panel data model to estimate the pass-through coefficients of 20 nine-digit industrial commodities that are traded between Japan and its East Asian and industrial ...
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