A model for binary panel data is introduced which allows for state dependence and unobserved heterogeneity beyond the effect of available covariates. The model is of quadratic exponential type and its ...
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, ...
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
https://doi.org/10.15609/annaeconstat2009.134.0043 • https://www.jstor.org/stable/10.15609/annaeconstat2009.134.0043 Copy URL This paper proposes semiparametric ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback