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How should economists model climate? Tipping points and nonlinear dynamics of carbon dioxide concentrations
| Content Provider | Scilit |
|---|---|
| Author | Chavas, Jean-Paul Grainger, Corbett Hudson, Nicholas |
| Copyright Year | 2016 |
| Description | Journal: Journal of Economic Behavior & Organization Economists modeling climate policy face an array of choices when modeling climate change, including the role of uncertainty/ambiguity, irreversibility, and tipping points. After filtering out estimated cycles due to orbital climate forcing, we use a threshold quantile autoregressive model to characterize anomalies in atmospheric $CO_{2}$ concentrations. We then test for local instability and tipping points, and we characterize the stationary distribution of anomalies. We find evidence of nonlinear dynamics, tipping points and a non-normal stationary distribution. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071419/pdf |
| Ending Page | 65 |
| Page Count | 10 |
| Starting Page | 56 |
| ISSN | 01672681 |
| DOI | 10.1016/j.jebo.2016.01.013 |
| Journal | Journal of Economic Behavior & Organization |
| Volume Number | 132 |
| Language | English |
| Publisher | Elsevier BV |
| Publisher Date | 2016-02-19 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Economic Behavior & Organization Mathematical Social Sciences Tipping Points Threshold Quantile Autoregression Nonlinear Dynamics Climate Change |
| Content Type | Text |
| Resource Type | Article |
| Subject | Economics and Econometrics Organizational Behavior and Human Resource Management |
