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Online supplement to 'A panel clustering approach to analyzing bubble behavior

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DataCite Commons2022-03-23 更新2024-07-13 收录
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https://researchdata.smu.edu.sg/articles/dataset/Online_supplement_to_A_panel_clustering_approach_to_analyzing_bubble_behavior/19402547/1
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资源简介:
This is the online supplement to the working paper 'A panel clustering approach to analyzing bubble behavior', available at https://ink.library.smu.edu.sg/soe_research/2591/<br>This online supplement has six sections. Section A collects together technical lemmas that are used for membership estimation in the first stage. Section B collects the lemmas needed for post-clustering panel estimation and the bubble detection methods, specifically the post-clustering panel t- and J-tests. Section C collects results and proofs for selecting the number of groups. Section D extends the two-stage algorithm and the corresponding post-clustering statistics to the mixed-root panel autoregressive model with purely stationary, unit, and purely explosive roots. Section E overviews experimental designs and reports simulation findings. Section F contains tables.
提供机构:
SMU Research Data Repository (RDR)
创建时间:
2022-03-23
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