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How has cross-border integration affected the relative taxation of labour and capital historically and globally? And which countries have been most affected by the erosion of effective capital taxation, and why? Answering these questions is critical to shed light on the macroeconomic effects and long-run social sustainability of globalisation.
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This paper develops algorithms that recover existing national accounts aggregates from naturally occurring transaction data and produce novel measures, such as distributional national accounts for the different components of output.
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This research estimates the effect of breastfeeding on child development: cognitive and socio-emotional, as well as health. Breastfeeding is just one of many ways in which mothers can influence their child’s development, and mothers who breastfeed may also be more or less likely to make other investments that affect their child’s development.
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In the largest correspondence study conducted to date in the rental housing market, encompassing 50 major cities in the US, this paper documents patterns of discrimination across US regions, and explores relationships between discrimination, segregation, and economic opportunity.
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The importance of siblings and the quality of their bond for children's development have not been sufficiently explored, even though most children have at least one sibling. Policy has instead focused on stimulating interactions between parents and the target child. Understanding the role of siblings in the human capital formation process can provide another policy tool to tackle inequality.
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Can transport infrastructure promote long-term labor market opportunities and sever the occupational tie between parents and their children? Transport infrastructure arguably improves individuals’ economic opportunities by connecting them to employment possibilities that are farther away, and by creating better options locally.
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This paper studies whether higher within-firm pay inequality is driven by managerial talent or managerial rent extraction and whether, ultimately, firms with larger pay disparities have lower valuations.
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A huge challenge for research and policy efforts to accelerate economic development is that firms in poor countries grow surprisingly slowly, making job creation in the “Global South” difficult to achieve. Why can't some firms access desirable markets?
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If disadvantaged groups move to better neighborhoods at scale, does this affect opportunity in those neighborhoods for future generations? This paper answers this question by studying the largest natural experiment in moving to opportunity in US history: the Great Migration – when 6 million southern African Americans migrated North between 1916 and 1970 to escape racial prejudice and a lack of economic opportunity in the US South.
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The use of machine learning in credit allocation should allow lenders to better extend credit, but the shift from traditional to machine learning lending models may have important distributional effects for consumers. This paper analyzes the effect of machine learning on mortgage lending in the US.
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