PloS one, 2021-12, Vol.16 (12), p.e0259579-e0259579
2021
Details
- Autor(en) / Beteiligte
- Titel
- The evolution of happiness pre and peri-COVID-19 : a Markov switching dynamic regression model
- Ist Teil von
- PloS one, 2021-12, Vol.16 (12), p.e0259579-e0259579
- Ort / Verlag
- United States: Public Library of Science
- Erscheinungsjahr
- 2021
- Link zum Volltext
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- Fits a Marko Switching Dynamic Regression Model (MSDR) to better understand the dynamic patterns of happiness levels before and during a pandemic. Determines the factors that can contribute to the probability of increasing happiness levels. Performs an empirical test of these models using New Zealand’s daily happiness data for May 2019 – November 2020. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0259579Titel-ID: cdi_plos_journals_2608860966
- Format
- –
- Schlagworte
- Big Data, Biology and Life Sciences, Computer and Information Sciences, Coronaviruses, COVID-19, COVID-19 - epidemiology, COVID-19 - psychology, Data collection, Epidemics, Evolution, GDP, Gross Domestic Product, Happiness, Health aspects, Humans, Markov Chains, Medicine and Health Sciences, National characteristics, New Zealand, New Zealand, New Zealand - epidemiology, Nonlinear Dynamics, Pandemics, Parameter estimation, People and places, Physical Sciences, Probability, Psychological aspects, Regression Analysis, Regression models, Social Sciences, Statistical analysis, Statistics as Topic, Switching, Testing, Transition probabilities, Volatility