“…Besides the type of regimes and their respective ideological orientation, other standard socio‐economic and demographic controllers found in the literature are added to the model to be estimated in the next section (see, for example, Castro & Martins, 2021, and the references therein): - The level of income is usually associated with economic freedom; while the causality running from economic freedom to income/growth is reasonably well established (de Haan et al, 2006; de Haan & Sturm, 2000, 2001), the opposite is less clear (Aixalá & Fabro, 2009; Farr et al, 1998; Vega‐Gordillo & Álvarez‐Arce, 2003); we use the log of real gross domestic product per capita ( GDPpc ) obtained from World Development Indicators (WDI) dataset to account for the income effect on economic freedom; we expect GDP per capita to have a positive effect on economic freedom.
- Trade openness is another economic factor that can affect economic freedom; countries that are more open to trade are expected to be associated with higher levels of economic freedom; to account for this effect we add to the model the variable Openness which is computed as exports plus imports as a percentage of GDP; this was obtained from the WDI.
- Crises are another factor that has been identified as having a negative effect on economic freedom (de Haan et al, 2009; Murphy & Smith, 2017; Stocker, 2016); a dummy that takes the value of one when a financial crises occur ( FinCrisis ) is used to account for this effect; financial crises are identified following the works by Laeven & Valencia (2018) and Nguyen et al (2020, 2021).
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