Chudik, Alexander and Hashem Pesaran, M. and Smith, Ron P. (2022) Revisiting the Great Ratios Hypothesis. Working Paper. Birkbeck Centre for Applied Macroeconomics, London, UK.
|
Text
BCAM 2203.pdf Download (690kB) | Preview |
Abstract
The idea that certain economic variables are roughly constant in the long-run is an old one. Kaldor described them as stylized facts, whereas Klein and Kosobud labelled them great ratios. While such ratios are widely adopted in theoretical models in economics as conditions for balanced growth, arbitrage or solvency, the empirical literature has tended to find little evidence for them. We argue that this outcome could be due to episodic failure of cointegration, possible two-way causality between the variables in the ratios, and cross-country error dependence due to latent factors. We propose a new system pooled mean group estimator (SPMG) to deal with these features. Using this new panel estimator and a dataset spanning almost one and half centuries and seventeen countries, we find support for five out of the seven great ratios that we consider. Extensive Monte Carlo experiments also show that the SPMG estimator with bootstrapped confidence intervals stands out as the only estimator with satisfactory small sample properties.
Metadata
| Item Type: | Monograph (Working Paper) |
|---|---|
| Additional Information: | BCAM Working Paper #2203. ISSN: 1745-8587 |
| Keyword(s) / Subject(s): | Great ratios, debt, consumption, and investment to GDP ratios, arbitrage conditions, heterogeneous panels, episodic cointegration, two-way long-run causality, error cross-sectional dependence |
| School: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Research Centres and Institutes: | Applied Macroeconomics, Birkbeck Centre for |
| Depositing User: | Isobel Edwards |
| Date Deposited: | 25 Mar 2022 13:35 |
| Last Modified: | 02 Aug 2023 18:15 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/47728 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
