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Mr. Taehoon Kim

architecture, little research has studied the effect of capital flows on the domestic household wealth distribution. This paper takes a first stab at the mechanism. Using new methods for modeling heterogeneous agent economies, I show that the liberalization of financial flows between the central and peripheral economies potentially accounts for 34% to 55% of the observed increase in the current top one percent wealth share in the US. Yet, the model also implies that the trend in rising wealth concentration could reverse over the course of the twenty-first century. The

International Monetary Fund. Communications Department
This issue of Finance & Development focuses on dark web of secret transactions that enable tax evasion and avoidance, money laundering, illicit financial flows, and corruption. Demands on government resources are building—to boost growth in some advanced economies, build infrastructure in emerging markets, and improve health and education in the developing world. IMF research shows that countries with lower levels of perceived corruption have significantly less waste in public projects. Among low-income countries, the share of the budget dedicated to education and health is one-third lower in more corrupt countries. The rise of digital finance, crypto assets, and cybercrime adds to the challenges. Consider the so-called dark web, a hidden marketplace for everything from stolen identities to arms and narcotics. Improving governance is not easy; it requires sustained effort over the long term.
Andreas Fagereng, Luigi Guiso, Mr. Davide Malacrino, and Luigi Pistaferri
We provide a systematic analysis of the properties of individual returns to wealth using twelve years of population data from Norway’s administrative tax records. We document a number of novel results. First, during our sample period individuals earn markedly different average returns on their financial assets (a standard deviation of 14%) and on their net worth (a standard deviation of 8%). Second, heterogeneity in returns does not arise merely from differences in the allocation of wealth between safe and risky assets: returns are heterogeneous even within asset classes. Third, returns are positively correlated with wealth: moving from the 10th to the 90th percentile of the financial wealth distribution increases the return by 3 percentage points - and by 17 percentage points when the same exercise is performed for the return to net worth. Fourth, wealth returns exhibit substantial persistence over time. We argue that while this persistence partly reflects stable differences in risk exposure and assets scale, it also reflects persistent heterogeneity in sophistication and financial information, as well as entrepreneurial talent. Finally, wealth returns are (mildly) correlated across generations. We discuss the implications of these findings for several strands of the wealth inequality debate.