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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9555
Abstract: Distributed estimation based on different sources of observations has drawn attention in the modern statistical learning. In practice, due to the expensive cost or time‐consuming process to collect data in some cases, the sample size…
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Keywords:
communication efficient;
high dimensional;
estimation inference;
estimation ... See more keywords
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Published in 2020 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2020.04.045
Abstract: Abstract In spatial econometrics literature estimation and inference are carried out assuming that the matrix of spatial or network connections has uniformly bounded absolute column sums in the number of units, n , in the…
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Keywords:
dominant units;
estimation inference;
inference spatial;
spatial models ... See more keywords
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Published in 2021 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2020.12.009
Abstract: Abstract Donald and Hsu (2014) studied the estimation and inference for the counterfactual distribution and quantile functions in a binary treatment model. We extend their work to the continuous treatment model. Specifically, we propose a…
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Keywords:
counterfactual distribution;
treatment;
estimation inference;
quantile ... See more keywords
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Published in 2020 at "Review of Economics and Statistics"
DOI: 10.1162/rest_a_00807
Abstract: Abstract Models with multiway fixed effects are frequently used to address selection on unobservables. The data used for estimating these models often contain few observations per value of either indexing variable (sparsely matched data). I…
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Keywords:
sparsely matched;
inference linear;
estimation inference;
fixed effects ... See more keywords