The previous empirical literature in opportunistic election cycles attempts to identify whether there is a significant impact of the election calendar on economic policy. The econometric analysis implemented in this paper goes a step further, seeking to test whether a country's time-varying degree of democracy affects the way in which economic policy is chosen as elections approach. A simple econometric model is estimated for the case of Mexico's fiscal policy between 1957 and 1997. The estimation reveals the government's strong systematic use of public spending in infrastructure and current transfers as a means to earn votes. Most importantly, we show that the magnitude of the election cycle has been exacerbated during the country's most democratic episodes.
This Working Paper should not be reported as representing the views of the IMF. The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. This paper explores how privatizing a pension system can affect sovereign credit risk. For this purpose, it analyzes the importance that rating agencies give to implicit pension debt (IPD) in their assessments of sovereign creditworthiness. We find that rating agencies generally do not seem to give much weight to IPD, focusing instead on explicit public debt. However, by channeling pension contributions away from the government and creating a deficit of resources to cover the current pension liabilities during the reform's transition period, a pension privatization reform may transform IPD into explicit public debt, adversely affecting a sovereign's perceived creditworthiness, thus increasing its risk premium. In this light, accompanying pension reform with efforts to offset its transition costs through fiscal adjustment would help preserve a country's credit rating.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.