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題名 Quantile Policy Effects: An Application to U.S. Macroprudential Policy
作者 林馨怡
Lin, Hsin-Yi;Hsiao, Yu-Hsiang;Hsu, Yu-Chin
貢獻者 經濟系
關鍵詞 Causal effects; Impulse response functions; Macroprudential policy; Propensity score; Quantile functions
日期 2024-04
上傳時間 24-May-2024 10:49:20 (UTC+8)
摘要 To assess the dynamic distributional impacts of macroeconomic policy, we propose quantile policy effects to quantify disparities between the quantiles of potential outcomes under different policies. We first identify quantile policy effects under the unconfoundedness assumption and propose an inverse probability weighting estimator. We then examine the asymptotic behavior of the proposed estimator in a time series framework and suggest a blockwise bootstrap method for inference. Applying this method, we investigate the effectiveness of U.S. macroprudential actions on bank credit growth from 1948 to 2019. Empirically, we find that the effects of macroprudential policy on credit growth are asymmetric and depend on the quantiles of credit growth. The tightening of macroprudential actions fails to rein in high credit growth, whereas easing policies do not effectively stimulate bank credit growth during low-growth periods. These findings suggest that U.S. macroprudential policies might not sufficiently address the challenges of soaring bank credit or ensure overarching financial stability.
關聯 Journal of Business & Economic Statistics, pp.1-17
資料類型 article
DOI https://doi.org/10.1080/07350015.2024.2326140
dc.contributor 經濟系
dc.creator (作者) 林馨怡
dc.creator (作者) Lin, Hsin-Yi;Hsiao, Yu-Hsiang;Hsu, Yu-Chin
dc.date (日期) 2024-04
dc.date.accessioned 24-May-2024 10:49:20 (UTC+8)-
dc.date.available 24-May-2024 10:49:20 (UTC+8)-
dc.date.issued (上傳時間) 24-May-2024 10:49:20 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/151207-
dc.description.abstract (摘要) To assess the dynamic distributional impacts of macroeconomic policy, we propose quantile policy effects to quantify disparities between the quantiles of potential outcomes under different policies. We first identify quantile policy effects under the unconfoundedness assumption and propose an inverse probability weighting estimator. We then examine the asymptotic behavior of the proposed estimator in a time series framework and suggest a blockwise bootstrap method for inference. Applying this method, we investigate the effectiveness of U.S. macroprudential actions on bank credit growth from 1948 to 2019. Empirically, we find that the effects of macroprudential policy on credit growth are asymmetric and depend on the quantiles of credit growth. The tightening of macroprudential actions fails to rein in high credit growth, whereas easing policies do not effectively stimulate bank credit growth during low-growth periods. These findings suggest that U.S. macroprudential policies might not sufficiently address the challenges of soaring bank credit or ensure overarching financial stability.
dc.format.extent 109 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Business & Economic Statistics, pp.1-17
dc.subject (關鍵詞) Causal effects; Impulse response functions; Macroprudential policy; Propensity score; Quantile functions
dc.title (題名) Quantile Policy Effects: An Application to U.S. Macroprudential Policy
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1080/07350015.2024.2326140
dc.doi.uri (DOI) https://doi.org/10.1080/07350015.2024.2326140