2011
DOI: 10.1016/s0210-0266(11)70006-1
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The determinants of the choice of exchange rate regimes in Latin America: a mixed multinomial logit approach

Abstract: The choice of the exchange rate regime is one of the most signifi cant monetary policy decisions that any economic authority has to make nowadays. Indeed, there have been many studies from a theoretical and empirical point of view, but the only common conclusion would be the lack of consensus. In the past this topic has been modeled by binary probit or cross-sectional multinomial logit models, both of which have weaknesses in the assumptions of the choices. In this paper, such issue is faced by means of a pane… Show more

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Cited by 6 publications
(1 citation statement)
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“…This modeling approach is used frequently for analyzing microeconomic choices in decision problems but not as much in the macroeconomic literature. Three macro‐application of this method are the study of countries selecting exchange rate regimes (Dubas et al., 2010; Papaioannou, 2003; Álvarez et al., 2011), the country risk analysis of foreign direct investments (McGowan & Moeller, 2005) and the study of economic growth and structural change in the medium term (Castañeda et al., 2022). Consequently, this paper is the first application of multinomial regressions for studying output dynamics in episodes of recession and their subsequent recovery.…”
Section: A Multinomial Analysis Of Output Dynamics In Recession Eventsmentioning
confidence: 99%
“…This modeling approach is used frequently for analyzing microeconomic choices in decision problems but not as much in the macroeconomic literature. Three macro‐application of this method are the study of countries selecting exchange rate regimes (Dubas et al., 2010; Papaioannou, 2003; Álvarez et al., 2011), the country risk analysis of foreign direct investments (McGowan & Moeller, 2005) and the study of economic growth and structural change in the medium term (Castañeda et al., 2022). Consequently, this paper is the first application of multinomial regressions for studying output dynamics in episodes of recession and their subsequent recovery.…”
Section: A Multinomial Analysis Of Output Dynamics In Recession Eventsmentioning
confidence: 99%