@article{oai:nagoya.repo.nii.ac.jp:02005356,
 author = {安達, 有祐 and ADACHI, Yusuke and 小川, 光 and OGAWA, Hikaru and 津布久, 将史 and TSUBUKU, Masafumi},
 issue = {4},
 journal = {経済科学, The Economic Science},
 month = {Mar},
 note = {This paper analyzes the impacts of economic shocks on Japanese regional employment using causal forest algorithms, and our data-drive findings are compared with those estimated under the standard OLS estimation. Our results are as follows. The largest declines in employment growth during the recessionary period associated with the crisis are in industries and regions where employment grew before the crisis, and in industries that have a large share of employment in the region. These results differ from the standard OLS results, which show that the negative impact of shocks is greater in regions with higher unemployment rates. In addition, testing the robustness with respect to outliers, which are samples that could be arbitrarily removed, we show that the results obtained by causal forests are robust, but those of OLS are not.},
 pages = {31--43},
 title = {経済危機が雇用に与える影響 : causal forestを用いた試論},
 volume = {70},
 year = {2023}
}