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After a decade of research on the relationship between institutions and growth, scholars in this field seem to be divided. Economic institutions perform well in growth regressions and a body of literature argues that this supports the key importance of institutions for development. Other authors maintain that the type of constraints that the recent theoretical literature describes are the more stable political institutions, and these have been found to play no role in empirical growth analyses. In this paper we re-examine the role that institutions play in the growth process using cross-section and panel data for both developed and developing economies over the period 1970-2000. Our results indicate that the data is best described by an econometric model with two growth regimes. Political institutions are the key determinant of which growth regime an economy belongs to, while economic institutions have a direct impact on growth rates within each regime. These findings support the hierarchy of institutions hypothesis, whereby political institutions set the stage in which economic institutions and policies operate.

After a decade of research on the relationship between institutions and growth, scholars in this field seem to be divided. Economic institutions perform well in growth regressions and a body of literature argues that this supports the key importance of institutions for development. Other authors maintain that the type of constraints that the recent theoretical literature describes are the more stable political institutions, and these have been found to play no role in empirical growth analyses. In this paper we re-examine the role that institutions play in the growth process using cross-section and panel data for both developed and developing economies over the period 1970-2000. Our results indicate that the data is best described by an econometric model with two growth regimes. Political institutions are the key determinant of which growth regime an economy belongs to, while economic institutions have a direct impact on growth rates within each regime. These findings support the hierarchy of institutions hypothesis, whereby political institutions set the stage in which economic institutions and policies operate.

The empirical evidence on the determinants of growth across countries has found that growth is lower when natural resources are abundant, corruption widespread and educational attainment low. An extensive literature has examined the way in which these three variables can impact growth, but has tended to address them separately. In this paper we argue that corruption and education are interrelated and that both crucially depend on a country's endowment of natural resources. The key element is the fact that resources affect the relative returns to investing in human and in political capital, and, through these investments, output levels and growth. In this context, inequality plays a key role both as a determinant of the possible equilibria of the economy and as an outcome of the growth process.

The empirical evidence on the determinants of growth across countries has found that growth is lower when natural resources are abundant, corruption widespread and educational attainment low. An extensive literature has examined the way in which these three variables can impact growth, but has tended to address them separately. In this paper we argue that corruption and education are interrelated and that both crucially depend on a country's endowment of natural resources. The key element is the fact that resources affect the relative returns to investing in human and in political capital, and, through these investments, output levels and growth. In this context, inequality plays a key role both as a determinant of the possible equilibria of the economy and as an outcome of the growth process.