S7 Table. The proxy variable Ⅰ. for paper entitled “Several Explorations on How to Construct an Early Warning System for Local Government Debt Risk in China” .

DataONE2022-01-22 更新110

S6 Dataset. The data of year 2016 and 2017.

地方政府债务风险预警

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S6 Dataset. The data of year 2016 and 2017. for paper entitled “Several Explorations on How to Construct an Early Warning System for Local Government Debt Risk in China”

DataONE2022-01-22 更新80

S1 Text. The MS-AR estimation results.

地方政府债务风险预警

计量经济模型

S1 Text. The MS-AR estimation results. for paper entitled “Several Explorations on How to Construct an Early Warning System for Local Government Debt Risk in China”.

NIAID Data Ecosystem50

S1 Text. The MS-AR estimation results.

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