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This chapter defines time inconsistency as the difference between the actual frequency of amendments and the one calculated on the basis of constitutional rigidity (Chapter 6). It proceeds to demonstrate that time inconsistency is proportional to the length of the constitution in all democracies. The reason is that “length” is correlated with “detail” (that is, the number of words per subject). This chapter provides empirical evidence that the length of constitutions is related to lower per capita income and higher corruption. These findings are consistent with the empirical research in US states that demonstrate that length of constitutions has a negative impact on GDP per capita, a positive one on unemployment, a positive one on Gini coefficients (inequalities), and a negative one on policy innovativeness (Brown 2021).
This chapter presents the first annual estimates of Liberia’s economic performance based on archival data since its declaration of independence in 1847 until 2000. A lack of easily accessible data has been one of the main reasons why Liberia has appeared so infrequently in comparative work in African economic history. The collection of data was a central component of imperial governance, and historians have relied on the legacy of those efforts; independent states had both different incentives and, often, lower capacity. However, this chapter shows that it is possible to reconstruct through qualitative records annual estimates of trade and government finances dating back to Liberia’s foundation. These estimates then form the foundation for the first series of historical national accounts which can be used to compare Liberia to other countries. They show the Liberian economy during the late nineteenth and early twentieth centuries, when many other African economies were growing. A period of rapid economic growth began during the 1930s, which continued for much of the next half century before a catastrophic reversal from 1980. This chapter sets the stage for the more thematic chapters to follow.
This chapter provides a short introduction to the main economic approaches to the study of the long period, by focusing on the pioneer works of Malthus, Marx, Marshall, Kondratiev, Rostow and Solow. This allows us also to provide some genealogical elements to Galor's Unified Growth Theory.
This chapter focuses on growth transition from the “Golden Age” (from 1950 to the early 1970s) of rapid growth, lower wealth inequality, and the absence of international financial crises during the stagflation in the 1970s (inflation, monetary instability, stagnation) and then to the neoliberal era (with volatile growth and frequent crises) in the core economies of North America and western Europe. The chapter identifies both economic and political economy factors surrounding the stagflation of the 1970s, in the context of challenges to US hegemony, and postauthoritarian transition in southern Europe. The chapter examines the frequency and intensity of recessive episodes and their impact on per capita GDP and investment from 1970 to 2015, affecting both core advanced countries and the European periphery.
Recent advances in historical national accounting have allowed for global comparisons of GDP per capita across space and time. Critics have argued that GDP per capita fails to capture adequately the multi-dimensional nature of welfare, and have developed alternative measures such as the human development index. Whilst recognising that these wider indicators provide an appropriate way of assessing levels of welfare, we argue that GDP per capita remains a more appropriate measure for assessing development potential, focussing on production possibilities and the sustainability of consumption. Twentieth-century Africa and pre-industrial Europe are used to show how such data can guide reciprocal comparisons to provide insights into the process of development on both continents.
This paper develops a model to assess the quantitative effects of entry costs and financial frictions on cross-country income and total factor productivity (TFP) differences, with a primary focus on the interaction between entry costs and financial frictions. The model is calibrated to match the establishment-level statistics for the U.S. economy, assuming a perfect financial market. The simulations based on the calibrated model show that entry costs and financial frictions together account for 55% and 46% of the cross-country variation in output and TFP in the data. Moreover, a substantial portion of the variation is accounted for by the interaction between entry costs and financial frictions. The main mechanism is that financial frictions amplify the effect of entry costs.
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