Norman Loayza

Bio: Norman Loayza is an academic researcher from World Bank. The author has contributed to research in topics: Productivity & Total factor productivity. The author has an hindex of 45, co-authored 125 publications receiving 25361 citations. Previous affiliations of Norman Loayza include International Monetary Fund & The RiverBank.

Financial Intermediation and Growth: Causality and Causes

Abstract: Legal and accounting reform that strengthens creditor rights, contract enforcement, and accounting practices boosts financial development and accelerates economic growth. Levine, Loayza, and Beck evaluate: Whether the level of development of financial intermediaries exerts a casual influence on economic growth. Whether cross-country differences in legal and accounting systems (such as creditor rights, contract enforcement, and accounting standards) explain differences in the level of financial development. Using both traditional cross-section, instrumental-variable procedures and recent dynamic panel techniques, they find that development of financial intermediaries exerts a large causal impact on growth. The data also show that cross-country differences in legal and accounting systems help determine differences in financial development. Together, these findings suggest that legal and accounting reform that strengthens creditor rights, contract enforcement, and accounting practices boosts financial development and accelerates economic growth. This paper - a product of Macroeconomics and Growth, Development Research Group - is part of a larger effort in the group to understand the links between the financial system and economic growth. Thorsten Beck may be contacted at tbeck@worldbank.org.

Finance and the Sources of Growth

Abstract: Development of the banking sector exerts a large, causal impact on total factor productivity growth, which in turn causes GDP to grow. Whether banking development has a long-run effect on capital growth or private saving remains to be seen. Beck, Levine, and Loayza evaluate whether the level of development in the banking sector exerts a causal impact on economic growth and its sources- total factor productivity growth, physical capital accumulation, and private saving. They use (1) a pure cross-country instrumental variable estimator to extract the exogenous component of banking development and (2) a new panel technique that controls for country-specific effects and endogeneity. They find that: - Banks do exert a large, causal impact on total factor productivity growth, which feeds through to overall GDP growth. - The long-run links between banking development and both capital growth and private savings are more tenuous. This paper - a product of Finance, Development Research Group - is part of a larger effort in the group to understand the links between the financial system and economic growth.

Inequality and Violent Crime

Abstract: We investigate the robustness and causality of the link between income inequality and violent crime across countries. First, we study the correlation between the Gini index and homicide and robbery rates within and between countries. Second, we examine the partial correlation by considering other crime determinants. Third, we control for the endogeneity of inequality by isolating its exogenous impact on these crime rates. Fourth, we control for measurement error in crime rates by modeling it as both unobserved country effects and random noise. Finally, we examine the robustness of this partial correlation to alternative measures of inequality. The panel data consist of nonoverlapping 5‐year averages for 39 countries during 1965–95 for homicides and 37 countries during 1970–94 for robberies. Crime rates and inequality are positively correlated within countries and, particularly, between countries, and this correlation reflects causation from inequality to crime rates, even after controlling for ot...

The Colonial Origins of Comparative Development: An Empirical Investigation

Abstract: In Acemoglu, Johnson, and Robinson, henceforth AJR, (2001), we advanced the hypothesis that the mortality rates faced by Europeans in different parts of the world after 1500 affected their willingness to establish settlements and choice of colonization strategy. Places that were relatively healthy (for Europeans) were—when they fell under European control—more likely to receive better economic and political institutions. In contrast, places where European settlers were less likely to go were more likely to have “extractive” institutions imposed. We also posited that this early pattern of institutions has persisted over time and influences the extent and nature of institutions in the modern world. On this basis, we proposed using estimates of potential European settler mortality as an instrument for institutional variation in former European colonies today. Data on settlers themselves are unfortunately patchy—particularly because not many went to places they believed, with good reason, to be most unhealthy. We therefore followed the lead of Curtin (1989 and 1998) who compiled data on the death rates faced by European soldiers in various overseas postings. 1 Curtin’s data were based on pathbreaking data collection and statistical work initiated by the British military in the mid-nineteenth century. These data became part of the foundation of both contemporary thinking about public health (for soldiers and for civilians) and the life insurance industry (as actuaries and executives considered the

How to do Xtabond2: An Introduction to Difference and System GMM in Stata

Abstract: This working paper by CGD research fellow David Roodman provides an introduction to a particular class of econometric techniques, dynamic panel estimators. The techniques and their implementation in Stata, a statistical software package widely used in the research community, are an important input to the careful applied research CGD advocates. The techniques discussed are specifically designed to extract causal lessons from data on a large number of individuals (whether countries, firms or people) each of which is observed only a few times, such as annually over five or ten years. These techniques were developed in the 1990s by authors such as Manuel Arellano, Richard Blundell and Olympia Bover, and have been widely applied to estimate everything from the impact of foreign aid to the importance of financial sector development to the effects of AIDS deaths on households. The present paper contributes to this literature pedagogically, by providing an original synthesis and exposition of the literature on these dynamic panel estimators, and practically, by presenting the first implementation of some of these techniques in Stata. Stata is designed to encourage users to develop new commands for it, which other users can then use or even modify. In this paper Roodman introduces abar and xtabond2, which is now one of the most frequently downloaded user-written Stata commands in the world. Stata's partially open-source architecture has encouraged the growth of a vibrant world-wide community of researchers, which benefits not only from improvements made to Stata by the parent corporation, but also from the voluntary contributions of other users. Stata is arguably one of the best examples of a combination of private for-profit incentives and voluntary open-source incentives in the joint creation of a global public good.