Urban Resilience and Social Security Uptake: New Zealand Evidence from the Global Financial Crisis and the COVID-19 Pandemic
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Cited by:
- Moritz Meister & Annekatrin Niebuhr & Jan Cornelius Peters & Johannes Stiller, 2023. "Local attributes and migration balance – evidence for different age and skill groups from a machine learning approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(4), pages 794-825, May.
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More about this item
Keywords
urban economic resilience; social security; Global Financial Crisis; COVID-19; panel data; model selection; spatial econometrics; machine learning;All these keywords.
JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
- R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2022-09-26 (Big Data)
- NEP-URE-2022-09-26 (Urban and Real Estate Economics)
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