1.陈洲（复旦大学）
Hsu, Joanne W., David A. Matsa and Brian T. Melzer. 2018. "Unemployment Insurance as a Housing Market Stabilizer." American Economic Review, 108(1):49-81.
Abstract: This paper studies the impact of unemployment insurance (UI) on the housing market. Exploiting heterogeneity in UI generosity across US states and over time, we find that UI helps the unemployed avoid mortgage default. We estimate that UI expansions during the Great Recession prevented more than 1.3 million foreclosures and insulated home values from labor market shocks. The results suggest that policies that make mortgages more affordable can reduce foreclosures even when borrowers are severely underwater. An optimal UI policy during housing downturns would weigh, among other benefits and costs, the deadweight losses avoided from preventing mortgage defaults.
2.王熙麟（复旦大学）
Lentz, R., & Mortensen, D. T. (2008). An Empirical Model of Growth through Product Innovation. Econometrica, 76(6), 1317-1373.
Abstract: Productivity differences across firms are large and persistent, but the evidence for worker reallocation as an important source of aggregate productivity growth is mixed. The purpose of this paper is to estimate the structure of an equilibrium model of growth through innovation designed to identify and quantify the role of resource reallocation in the growth process. The model is a version of the Schumpeterian theory of firm evolution and growth developed by Klette and Kortum (2004) extended to allow for firm heterogeneity. The data set is a panel of Danish firms that includes information on value added, employment, and wages. The model's fit is good. The estimated model im- plies that more productive firms in each cohort grow faster and consequently crowd out less productive firms in steady state. This selection effect accounts for 53% of aggregate growth in the estimated version of the model.
3.张卓韧（复旦大学）
Daniel Murphy (2017). Home Production, Expenditure, and Economic Geography, Working Paper.
Abstract: This paper presents new facts about the dependence of time use and expenditure on economic geography. Residents of denser regions allocate less time to home production and spend more of their income on local services. To rationalize these findings, I propose a theory that embodies two benefits of urban density that cause residents to substitute market purchases for home production. First, market production of services is efficient because customers effectively share land and other factors of production, leaving them idle for less time. Second, proximity between consumers and service establishments reduces the time cost of purchasing services. I explore additional implications of the theory using detailed Census data.
4.韩立彬（上海交通大学）
Brueckner, J. K., Fu, S., Gu, Y., & Zhang, J. (2016). Measuring the Stringency of Land Use Regulation: The Case of China's Building Height Limits. The Review of Economics and Statistics, 99(4), 663-677.
This paper develops a new approach for measuring the stringency of a major form of land use regulation, building height restrictions, and applies it to an extraordinary data set of land-lease transactions from China. Our theory shows that the elasticity of land price with respect to the floor area ratio (FAR), a building height indicator, is a measure of the regulation's stringency (the extent to which FAR is kept below the free-market level). Using a national sample, estimation allowing this elasticity to be city-specific shows variation in the stringency of FAR regulation across Chinese cities. Single-city estimation for Beijing shows that stringency varies with site characteristics.
5.王驹飞（复旦大学）
Henderson V, Squires T, Storeygard A, et al. The global distribution of economic activity: nature, history, and the role of trade[J]. The Quarterly Journal of Economics, 2017.
We explore the role of natural characteristics in determining the worldwide spatial distribution of economic activity, as proxied by lights at night, observed across 240,000 grid cells. A parsimonious set of 24 physical geography attributes explains 47% of worldwide variation and 35% of withincountry variation in lights. We divide geographic characteristics into two groups, those primarily important for agriculture and those primarily important for trade, and confront a puzzle. In examining withincountry variation in lights, among countries that developed early, agricultural variables incrementally explain over 6 times as much variation in lights as do trade variables, while among late developing countries the ratio is only about 1.5, even though the latter group is far more dependent on agriculture. Correspondingly, the marginal effects of agricultural variables as a group on lights are larger in absolute value, and those for trade smaller, for early developers than for late developers. We show that this apparent puzzle is explained by persistence and the differential timing of technological shocks in the two sets of countries. For early developers, structural transformation due to rising agricultural productivity began when transport costs were still high, so cities were localized in agricultural regions. When transport costs fell, these agglomerations persisted. In latedeveloping countries, transport costs fell before structural transformation. To exploit urban scale economies, manufacturing agglomerated in relatively few, often coastal, locations. Consistent with this explanation, countries that developed earlier are more spatially equal in their distribution of education and economic activity than late developers.
6.郑吉锋（上海财经大学）
Manova K, Magerman G, Dhyne E, et al. The Origins of Firm Heterogeneity: A Production Network Approach[C]//2017 Meeting Papers. Society for Economic Dynamics, 2017 (487).
Abstract: This paper quantifies the origins of firm size heterogeneity when firms are interconnected in a production network. We document new stylized facts about the universe of buyer-supplier relationships among all firms in Belgium during 2002-2014. These facts motivate a model in which firms buy inputs from upstream suppliers and sell to downstream buyers and final demand. Firms can be large not only because they have high production capability (i.e. productivity or product quality), but also because they interact with more, better and larger buyers and suppliers, and because they are better matched to their buyers and suppliers. The model delivers an exact decomposition of firm size into upstream and downstream margins with firm, buyer/supplier and match components. We establish three empirical results. First, downstream factors explain the vast majority of firm size heterogeneity, while upstream factors are only one fourth as important. Second, nearly all the variation on the downstream side is driven by network sales to other firms rather than final demand. By contrast, most of the variation on the upstream side reflects own production capability rather than network purchases from input suppliers. Third, most of the variance in network sales is determined by the number of buyers and the allocation of sales towards well-matched buyers of high quality, rather than by average buyer capability. By contrast, most of the variance in network purchases comes from average supplier capability and the allocation of purchases towards well-matched suppliers of high quality, rather than from the number of suppliers
7.梁超（上海交通大学）
Charles K K, Hurst E, Notowidigdo M J. Housing booms and busts, labor market opportunities, and college attendance[R]. National Bureau of Economic Research, 2015.
Abstract: We study how the recent national housing boom and bust affected college enrollment and attainment during the 2000s. We exploit cross-city variation in local housing booms, and use a variety of data sources and empirical methods, including models that use plausibly exogenous variation in housing demand identified by sharp structural breaks in local housing prices. We show that the housing boom improved labor market opportunities for young men and women, thereby raising their opportunity cost of college-going. According to standard human capital theories, this effect should have reduced college-going overall, but especially for persons at the margin of attendance. We find that the boom substantially lowered college enrollment and attainment for both young men and women, with the effects concentrated at two-year colleges. We find that the positive employment and wage effects of the boom were generally undone during the bust. However, attainment for the particular cohorts of college-going age during the housing boom remain persistently low after the end of the bust, suggesting that reduced educational attainment may be an enduring effect of the housing cycle. We estimate that the housing boom explains roughly 30 percent of the recent slowdown in college attainment.
