Conscription as Regulation
By Casey B. Mulligan, A. Shleifer. 2005
114 citations recorded by the source corpus.
We examine the practice of military conscription around the world from the perspective of two standard theories, and a new one, which emphasizes the fixed cost of introducing and administering the draft as a deterrent to its use. We find that, holding the relative size of the military constant, higher population countries are more likely to use the draft. We also find that French legal origin countries, which we see as facing lower fixed and variable administrative costs, are more likely to draft than are common law countries. Conscription does not seem to be influenced by democracy, and is influenced by the deadweight costs of taxation only in countries with very large militaries. The results suggest that fixed costs of introducing and administering new regulations may be an important determinant of their use.
Subfields: Economics and Econometrics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/74dba3509910278bf157657184eb3bb40ea57a13
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Yann Algan
- Pierre Cahuc
- Philippe Aghion
- A. Shleifer
- Christian Bjørnskov
- Claudia Senik
- Anton Korinek
- Andreas Bergh
In Political Science and International Relations
- Pierre Cahuc
- Yann Algan
- A. Shleifer
- Philippe Aghion
- Martin Halla
- Jakob B. Madsen
- Nadia Steiber
- Barbara Haas
Citations in the corpus
- Regulating away competition: the effect of regulation on entrepreneurship and employment (2017, unknown): “Previous work has tended to use cruder measures such as page counts (Coffey et al. 2012; Dawson and Seater 2013) or, in recent years, file-size data from state statutes (Mulligan and Shleifer 2005).”
- Regulation and Distrust (2010, background): “Table 1 confirms these correlations in regressions controlling for the log per capita GDP, the average years of education, and population (Mulligan and Shleifer 2005).”