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Altruism and Risk Sharing in Networks PDF

44 Pages·2017·0.56 MB·English
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Altruism and Risk Sharing in Networks Renaud BourlŁs, Yann BramoullØ & Eduardo Perez-Richet Aix-Marseille School of Economics & Sciences Po September 2017 Introduction I Informal transfers are still prevalent in our 21st century economies. Transfers in cash, kind, or time between individuals and I households and which are not market transactions. I Key stylized facts: Quantitatively large, even in high-income countries. I Interact with the business cycle and with public transfers. I Flow through social networks. I Generate (not too) ine¢ cient informal insurance. I Introduction: quantitatively large I In low-income countries, remittances often on par with the formal economy. In 2009, Lebanon: 22% of GDP; Jordan: 16%; Philippines I 12%, Worldbank (2011). Greater than (cid:133)nancial aid and close to foreign direct I investment, Yang (JEP 2011). Remarkably stable following the crisis. Between 2008 and I 2009, dropped by 5% while FDI dropped by 40%. I Also important in high-income countries. In France, family transfers increased from 2% of GDP before I the crisis to 4% after, Le Monde (2014). In the US, interhousehold transfers estimated at 1.2% of GDP I in 2003, National Transfer Accounts (2011). Introduction: interact with public transfers I Large empirical evidence on crowding out. Increase in public transfers may decrease private transfers. I Reduces the impact of public interventions. In a study on the Philippines, between 30% to 80% of I crowding out for those in the lowest income quintile, Cox, Hansen & Jimenez (JPubE 2004). (cid:147)attempts to aid the poor could be thwarted by private I responses, which leak bene(cid:133)ts to richer households in the form of lighter burdens of support for less fortunate kin.(cid:148) I Recent evidence that transfers to the poor indirectly bene(cid:133)t socially connected households. Angelucci & De Giorgi (AER 2009), Angelucci, De Giorgi & I Rasul (WP 2012). Introduction: social networks I Expanding empirical literature studying bilateral transfers. Dercon & De Weerdt (JDE 2006); Fafchamps & Lund (JDE I 2003); Fafchamps & Gubert (JDE 2007). Recent work by Arun Chandrasekhar, Pascaline Dupas and I others. I Even in small rural communities, it is not true that everyone is helping everyone else. Rather, informal transfers are structured through social I networks: close and distant relatives, friends, neighbors. Introduction: ine¢ cient insurance I Following Towsend (ECA 1994), large empirical literature that tests e¢ cient insurance on consumption data. Typically rejected at the village level. Still, does not seem too I ine¢ cient: consumption little a⁄ected by individual shocks. Often interpreted as a sign that informal risk-sharing works I quite well. I Mazzocco & Shaini (AER 2012) develop new versions of the tests to account for preference heterogeneity. On data on rural India, reject e¢ cient insurance at the village I level but not at the subcaste level. Introduction: motives I Why do people give? Three main explanations. Exchange: Mutually bene(cid:133)cial informal insurance contract. I Altruism: People give to others they care about. I Social pressure: People give because they feel obliged to. I I Identifying the motives empirically is challenging. Large literature following Cox (JPE 1987). Recent studies I based on clever experiments. Evidence that the three motives are at work, although maybe I across di⁄erent types of ties and circumstances. Introduction: theory I Growing theoretical literature rationalizing these four facts. Models of informal transfers in networks. I I Links as social collateral, Ambrus, Mobius & Szeidl (AER 2014). Links have values constraining how much money can (cid:135)ow I through them. Characterize Pareto-constrained risk-sharing arrangements. I I Local information constraints, Ambrus, Gao & Milan (WP 2017). How to reach these Pareto-constrained arrangements? I Introduction: theory I Altruism in networks, BourlŁs, BramoullØ & Perez-Richet (ECA 2017). Altruism (cid:224) la Becker, structured through a network. I Characterize Nash equilibria of the game of transfers, for I non-stochastic incomes. I Even in the absence of risk, altruism generates informal redistribution. Not true under informal insurance contracts. I Introduction: altruism in networks I Advances the economics of altruism. Following Becker (JPE 1974) and Barro (JPE 1974). I Large literature but irrealistic structures: Small groups of I completely connected agents or linear dynasties. I However, family ties form complex networks. Well-known from human genealogy. I Argued early on by Bernheim & Bagwell (JPE 1988) but had I not been explored by economists.

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tests effi cient insurance on consumption data. ▻ Typically rejected at the village level. Still, does not seem too ineffi cient: consumption little affected by individual shocks. ▻ Often interpreted as a sign that informal risk-sharing works quite well. ▻ Mazzocco & Shaini (AER 2012) develop
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