
handle: 10230/1236
We develop a stylized model of economic growth with bubbles in which changes in investor sentiment lead to the appearance and collapse of macroeconomic bubbles or pyramid schemes. These bubbles mitigate the effects of financial frictions. During bubbly episodes, unproductive investors demand bubbles while productive investors supply them. These transfers of resources improve economic efficiency thereby expanding consumption, the capital stock and output. When bubbly episodes end, there is a fall in consumption, the capital stock and output. We argue that the stochastic equilibria of the model provide a natural way of introducing bubble shocks into business cycle models. (JEL E22, E23, E32, E44, O41)
bubbles, dynamic inefficiency, economic growth, financial frictions, pyramid schemes, financial frictions, pyramid schemes, asset bubbles; dynamic inefficiency; economic growth; financial frictions; pyramid schemes, dynamic inefficiency, economic growth, bubbles, Bubbles, dynamic inefficiency, economic growth, financial frictions, pyramid schemes, Macroeconomics and International Economics, jel: jel:E32, jel: jel:E44, jel: jel:O40
bubbles, dynamic inefficiency, economic growth, financial frictions, pyramid schemes, financial frictions, pyramid schemes, asset bubbles; dynamic inefficiency; economic growth; financial frictions; pyramid schemes, dynamic inefficiency, economic growth, bubbles, Bubbles, dynamic inefficiency, economic growth, financial frictions, pyramid schemes, Macroeconomics and International Economics, jel: jel:E32, jel: jel:E44, jel: jel:O40
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 268 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
