TL;DR
This paper models political regime transitions as a Bayesian Markov process to quantify the 'end of history,' predicting future distributions of democracies and autocracies and challenging the idea of a universal democratic endpoint.
Contribution
It introduces a Bayesian Markov-chain model to estimate transition probabilities and steady states of political regimes from historical data, providing a quantitative measure of the 'end of history.'
Findings
Approximately 46% of countries will be full democracies.
Autocracies are expected to increase before declining in the next 50 years.
Democracies have an estimated lifetime of 244 years, autocracies 69 years.
Abstract
Political regimes have been changing throughout human history. After the apparent triumph of liberal democracies at the end of the twentieth century, Francis Fukuyama and others have been arguing that humankind is approaching an `end of history' (EoH) in the form of a universality of liberal democracies. This view has been challenged by recent developments that seem to indicate the rise of defective democracies across the globe. There has been no attempt to quantify the expected EoH with a statistical approach. In this study, we model the transition between political regimes as a Markov process and -- using a Bayesian inference approach -- we estimate the transition probabilities between political regimes from time-series data describing the evolution of political regimes from 1800--2018. We then compute the steady state for this Markov process which represents a mathematical…
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