These are 10 of my favourite #UrbanEconomics articles published in 2020, in alphabetical order by author, continuing with a tradition from the last couple of years

1) @TrebAllen, Arkolakis & Takahashi, JPE. Shows key theoretical properties & predictions of large class of trade/geography gravity models depend on 2 parameters: elasticities of supply and demand. Proposes IV estimation strategy relying on GE structure https://t.co/5On1AQkbeP
2) Ambrus, Field & @rmgonzalez046, AER. 1854 London: prices fell in blocks served by well transmitting cholera. Differences persist. Model: tenants change as contracts expire, -ve externality of poor tenants, shock makes landlords persistently target poor https://t.co/6uaxjG6Bmf
3) @kon_buechel & @maxvehrlich, JUE. More sociable individuals sort into cities. Even after accounting for sorting, those in denser areas call each other more often & longer, suggesting complementarity between face-to-face and phone interactions https://t.co/bymmL4PzaJ
4) @CarozziFelipe, JEEA. Shows how credit constraints affect composition of housing sales & access to home-ownership by the young. Neat model of housing markets as ladders with young in cheap units, possibly trading up as they age, post-2008 UK evidence https://t.co/PCn7w35Qu8
5) Harari, AER. City shape matters. More compact (circular) Indian cities grow faster (IVs compactness with mechanical expansion + geographic constraints). Compactness affects road network, location patterns, quality of life. Regulations affect shape https://t.co/TbXX9X4qwC
6) Heblich, @ReddingEcon & Sturm, QJE. Uses quantitative urban model & spatially disaggregated data for London 1801-1921 to explore how steam railways triggered workplace-residence separation, enabling substantial agglomeration in production & residence https://t.co/Z0CnPlQnMY
7) Liu, Rosenthal & Strange, RSUE. Agglomeration in tall buildings depends on street access, height amenities & productivity. Ground & high floors most valuable. Density & law firm sales indicate strong same-floor spillovers quickly attenuating vertically https://t.co/YxXFQ4yydZ
8) @OtoPeralias, JDE. Explores origins of settlement patterns exploiting spatial discontinuity in insecurity in medieval Spain. Frontier warfare encourages population concentration in few livestock-oriented (vs. agriculture) settlements, strong persistence https://t.co/FkXwJ9EohA
9) Owens, @HansbergRossi & Sarte, AEJEcPol. Rationalises healthy Detroit CBD surrounded by vacant land through model with residential externalities leading to coordination problem, evaluates development guarantees & other alternatives https://t.co/WMQiUhWf46
10) @piazzesi, Schneider & @stroebel_econ, AER. Housing search model with many segments, agents with different search ranges, broad searchers that narrow down by segment inventory. Helps think about Beveridge curve, scope & connectedness in housing markets https://t.co/wmpnDqsoL1
The 2019 list is at https://t.co/MhayLpevo0
The 2018 list is at https://t.co/qr16DmqNvq

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