The two notions of amenities in spatial economics

Spatial economists use the word “amenity” in two imperfectly aligned ways. The first refers to place-specific services that are not explicitly transacted and hence do not directly appear in the budget constraint. The second refers to place-specific residuals because the researcher lacks relevant price or expenditure data. Sometimes these concepts are aligned, but they are far from synonymous.

These inconsistent notions co-exist in part because the phrase “urban amenity” is often used without being explicitly defined. Consider Jennifer Roback’s landmark 1982 JPE article, which “focuses on the role of wages and rents in allocating workers to locations with various quantities of amenities.” Roback estimates hedonic valuations of crime, pollution, cold weather, and clear days, which clearly satisfy the first definition since an individual cannot buy cleaner air or more sunny days except by changing places. But Roback (1982) never explicitly defines the word “amenity”.

Another 1982 publication, The Economics of Urban Amenities by Douglas B. Diamond and George S. Tolley, discusses the appropriate definition of amenities at length. They start with “an amenity may be defined a location-specific good”, but shortly warn that “such a concise definition also hides important nuances of the amenity concept that must be clearly understood before applying the concept to the full scope of urban and regional analysis.” Five pages of discussion follow. The crucial idea is that “amenities, like other goods, affect the level of either firm profits or household satisfactions. But, unlike for other goods, increments to amenities can be gained solely through a change in location.” This is in line with the first notion of an amenity.

In recent empirical work in urban economics, amenities are often residuals. Just as productivity is a residual that rationalizes output quantities given observed input quantities, amenities are residuals that rationalize residential choices given observed location characteristics. In Rebecca Diamond (2016), she defines “amenities broadly as all characteristics of a city which could influence the desirability of a city beyond local wages and prices.” This is sensible, but it is distinct from the first notion of an amenity. In particular, when available price data cover a smaller set of local goods and services, there is more residual variation that is labeled as an amenity. In a sufficiently data-scarce empirical setting, housing would be an amenity in the second sense.

The recent literature on “consumption amenities” or “retail amenities” illustrates the tension between the two definitions of amenities. Restaurant meals are often labeled a “consumption amenity”. Restaurant meals have a location-specific component: bigger cities have more varied restaurants, and households infrequently consume meals in other cities. But they are a non-traded service: they are excludable, priced, and enter the household budget constraint. More generally, the prices of traded goods vary across locations. Diamond and Tolley discuss this case: “a good may be excludable and thus rationed by price at a given location, but the price may vary across locations. In this case, it is the option to buy the good at a given price, and not the good itself, which is location-specific and thus an amenity.”

I have not seen trade economists treat “the option to buy the good at a given price” as an urban amenity. Rather, if one can write down, say, the CES price index for traded varieties, then one does not need to further value the option to buy a particular variety at a given price, because the CES price index incorporates this as spatial variation in the marginal utility of a dollar of traded goods consumption. Allen and Arkolakis (2014), for example, estimate local CES price indices and define amenities as utility shifters that do not appear in the budget constraint. Krugman (1991), a seminal contribution in which workers are attracted to locations with lower prices of traded goods, does not use the word “amenity” at all. In practice, of course, the price index is not perfectly observed, and so the residuals in quantitative spatial models that are labeled amenities also reflect unobserved price, variety, and quality variation.

Personally, I long ago internalized the first definition and instinctively treat the phrase “retail amenities” as an oxymoron. But I see why empirical applications must choose to either treat residuals as stochastic errors (e.g., measurement error) or give them a label like “amenities”. Hence the ambiguity when spatial economists use the word “amenity”.

Spatial economics JMPs (2023-2024)

Here’s a list of job-market candidates whose job-market papers fall within spatial economics, as defined by me quickly skimming webpages. I’m sure I missed folks, so please add them in the comments.

Here’s a cloud of the words that appear in these papers’ titles:

Alaa Abdelfattah (UC Davis) – The Spillover Effect of Large Firms’ Entry on Wage Distribution and Skill Demand
Alba Miñano-Mañero (CEMFI) – When are D-graded neighborhoods not degraded? Greening the legacy of redlining
Alex Hempel (Toronto) – The Impact of Greenbelts on Housing Markets: Evidence from Toronto
Alison Lodermeier (Brown) – Racial Discrimination in Eviction Filing
Amanda Ang (USC) – Paradise Lost: Population Growth and Wildfire Mitigation in the American West
Anaïs Fabre (Toulouse) – The Geography of Higher Education and Spatial Inequalities
Angela Ma (HBS) – Commercial Eviction Moratoria, Liquidity Relief and Business Closure
Anna Ziff (Duke) – Beyond the Local Impacts of Place-Based Policies: Spillovers through Latent Housing Markets
Anthony Tokman (Yale) – Density Restrictions and Housing Inequality
Atsushi Yamagishi (Princeton) – The Economic Dynamics of City Structure: Evidence from Hiroshima’s Recovery
Christian Düben (Hamburg) – The Emperor’s Geography – City Locations, Nature and Institutional Optimisation
Claudio Luccioletti (CEMFI) – Should Governments Subsidize Homeownership? A Quantitative Analysis of Spatial Housing Policies
Cody Cook (Stanford GSB) – Where to Build Affordable Housing? The Effects of Location on Tenant Welfare and Segregation
Daniel Agness (Berkeley ARE) – Housing and Human Capital: Condominiums in Ethiopia
Daniela Arlia (Aix-Marseille) – Labor Market Shocks across Heterogeneous Housing Markets
Derek Wenning (Princeton) – Equal Prices, Unequal Access: The Effects of National Pricing in the US Life Insurance Industry
Evan Soltas (MIT) – Tax Incentives and the Supply of Low-Income Housing
Gabriele Guaitoli (Warwick) – Firm Localness and Labour Misallocation
Gabriele Lucchetti (Nottingham) – Skills, Distortions, and the Labor Market Outcomes of Immigrants across Space
Geetika Nagpal (Brown) – Density, Scale & Affordability: Evidence from a Zoning Deregulation in India
Giorgio Pietrabissa (CEMFI) – School Access and City Structure
Gregory Dobbels (Princeton) – Not in My Back Yard: The Local Political Economy of Land-use Regulations
Guangbin Hong (Toronto) – Two-Sided Sorting of Workers and Firms: Implications for Spatial Inequality and Welfare
Hoyoung Yoo (Wisconsin) – The Welfare Consequences of Incoming Remote Workers on Local Residents
Hugo Lhuillier (Princeton ) – Should I Stay or Should I Grow? How Cities Affect Learning, Inequality and Productivity
Jaeeun Seo (MIT) – Sectoral Shocks and Labor Market Dynamics: A Sufficient Statistics Approach
Jeanna Kenney (Wharton) – Market Concentration, Labor Quality, and Efficiency: Evidence from Barriers in the Real Estate Industry
JoonYup Park (Duke) – Improving Access to Opportunity: Housing Vouchers and Residential Equilibrium
Kulsoom Hisam (Clark) – A Streetcar City: Public transit expansion and neighborhood dynamics in early XXth century Chicago
Laura Weiwu (MIT) – Unequal Access: Racial Segregation and the Distributional Impacts of Interstate Highways in Cities
Lisa Botbol (Toulouse) – Applicant choice in the allocation of social housing: evidence from France
Lorenzo Incoronato (UCL) – Place-Based Industrial Policies and Local Agglomeration in the Long Run
Lukas Mann (Princeton) – Spatial Sorting and the Rise of Geographic Inequality
Maeve Maloney (Syracuse) – Why Are Labor Market Outcomes of Married Women Better in Detroit? The Role of Long and Variable Commutes?
Malabika Koley (Illinois) – Specification Testing under General Nesting Spatial Model
Maria Balgova (IZA) – The death of distance in hiring
Maximilian Guennewig-Moenert (Trinity College Dublin) – Public housing design and racial sorting: Evidence from New York City public housing 1930-2010
Mengqi Wang (Wisconsin) – Spatial implications of trade cost reductions with resource reallocation frictions
Mengwei Lin (Cornell ) – Local Policies and Firm Location: The Role of Leaders’ Promotion Motives in China
Milan Quentel (UPF) – Gone with the Wind: Renewable Energy Infrastructure, Welfare, and Redistribution
Nghiem Huynh (Yale) – Place-based Policy, Migration Barriers, and Spatial Inequality
Nicolás Martínez (Toulouse) – Market coverage and network competition: Evidence from shared electric scooters
Ningyuan Jia (LSE) – Demographic Transition and Structural Transformation in China
Olivia Bordeu (Chicago Booth) – Commuting Infrastructure in Fragmented Cities
Pearl Li (Stanford) – Value Pricing or Lexus Lanes? The Distributional Effects of Dynamic Tolling
Pedro Degiovanni (Harvard) – Economies of Scale and Scope in Railroading
Priyam Verma (Postdoc, AMSE) – Size Distribution of Cities: Evidence from the Lab
Qianyang Zhang (Columbia) – Equilibrium Effects of Building Energy Efficiency Disclosure
Qiyao Zhou (Maryland) – Under Control? Price Ceiling, Queuing, and Misallocation: Evidence from the Housing Market in China
Rebecca Jorgensen (Wharton) – The Consequences of Mergers Between Real Estate Agencies and Mortgage Lenders
Robert French (HKS) – Quantifying the Welfare Impacts of Neighborhood Change on Incumbent Renters
Rowan Isaaks (Vanderbilt) – Revealed Preferences for Residential Traffic Calming: Evidence from Low Traffic Neighborhoods
Ryungha Oh (Yale) – Spatial Sorting of Workers and Firms
Santiago Franco (Chicago) – Output Market Power and Spatial Misallocation
Santiago Hermo (Brown) – Collective Bargaining Networks, Rent-Sharing, and the Propagation of Shocks
Sara Bagagli (Postdoc, Harvard) – The (Express)Way to Segregation: Evidence from Chicago
Seohee Kim (Duke) – Financial Frictions and Geographical Diversification of National Homebuilders
Seungyub Han (UCLA) – Housing Rent, Inelastic Housing Supply and International Business Cycles
Sunham Kim (Purdue) – Human Capital Production in Spatial Economy: A Quantitative Assessment of the Decentralized US Education System
Thiago Patto (Insper) – The Concentration of Economic Activity Within Cities: Evidence from New Commercial Buildings
Tomás Budí-Ors (CEMFI) – Rural-Urban Migration and Structural Change: A Reinterpretation
Yi-Ju Hung (USC) – Immigration and Economic Opportunity
Yige Duan (UBC) – Beyond Lost Earnings: Job Displacement and the Cost of Commuting
Yulu Tang (Harvard) – To Follow the Crowd? Benefits and Costs of Migration Networks

Trade JMPs (2023-2024)

For the 14th year running, I’ve gathered a list of trade-related job-market papers. If I’ve missed someone, please contribute to the list in the comments.

Here’s a cloud of the words that appear in these papers’ titles:

Agostina Brinatti (Michigan) – Third-Country Effects of U.S. Immigration Policy
Albert Duodu (Lund) – Carbon offshoring and manufacturing cleanup
Alejandra López Espino (Penn State) – Production Networks and Rules of Origin: NAFTA to USMCA
Alejandra Martinez (Warwick) – Trade Relationships During and After a Crisis: Evidence from Road Disruptions in Colombian Flower Exports
Alireza Marahel (Indiana) – Evaluating Alternative Designs for Carbon Border Adjustment Mechanisms
Anaïs Galdin (Princeton) – Resilience of Global Supply Chains and Generic Drug Shortages
Björn Brey (Oxford) – The consequences of a trade collapse: Economics and politics in Weimar Germany
Bumsoo Kim (MIT) – Currency Pegs, Trade Imbalances and Unemployment: A Reevaluation of the China Shock
Carlos Góes (UCSD) – Trade, Growth, and Product Innovation
Carlos Salamanca (Penn State) – Learning to Use Trade Agreements: Rules of Origin
Chang Liu (Rochester) – Foreign Currency Borrowings and Trade Exposure in Emerging Markets
Chengyuan He (Rochester) – Inventories, Production Networks, and International Business Cycles
Dan Zhang (Syracuse) – Export Market Size and Trade Shocks: Evidence for Chinese Firms from U.S. Tariff Changes
Dyanne Vaught (Michigan) – Adjustment Costs and Global Sourcing: An Estimation Using Data on Customs Brokers
Eduardo Fraga (World Bank) – Fertilizer Import Bans, Agricultural Exports, and Welfare: Evidence from Sri Lanka
Elisa Navarra (ECARES-ULB) – The Effects of Subsidies Along Value Chains
Entian Zhang (Minnesota) – Financial Frictions and Sourcing Decisions
Fabrizio Leone (ECARES-ULB) – Global Robots
Jaeeun Seo (MIT) – Sectoral Shocks and Labor Market Dynamics: A Sufficient Statistics Approach
Jin Liu (NYU) – Multinational Production and Innovation in Tandem
Jose Ramon Moran (Michigan) – Rules of Origin and the Use of NAFTA
José Belmar (Brown) – Trade and Structural Change: Evidence from Colombia and The Panama Canal, 1851-1973
Luis Espinoza (Michigan) – Contracting frictions, geography, and multinational firms: evidence from Mexico
Marcos Sora (UChicago) – Labor reallocation during booms: The role of duration uncertainty
Mengqi Wang (Wisconsin) – Spatial implications of trade cost reductions with resource reallocation frictions
Minuk Kim (Minnesota) – The Differential Effect of Tariffs by Quality: Estimates from Scotch
Oriana Montti (Brandeis) – Effects of Trade Barriers on Foreign Direct Investment: Evidence From Chinese Solar Panels
Pedro Degiovanni (Harvard) – Economies of Scale and Scope in Railroading
Philip Economides (Oregon) – Unconventional Protectionism in Containerized Shipping
Sarur Chaudhary (Cambridge) – Globalizing Highways: Domestic Roads and Foreign Inputs
Seungjin Baek (UC Davis) – Transition to a Green Economy: Policy Competition and Cooperation
Sifan Xue (Princeton) – Trade Wars with FDI Diversion
Simeng Zeng (Minnesota) – Misallocation and Technology Upgrading under Trade Liberalization
Sung-Ju Wu (Duke) – Foreign Ownership and Firm Response to Foreign Demand Shocks
Tengyu Zhao (HKUST) – Breaking the Fences: Patent Purchase and Export Performance of Chinese Firms
Tingting Peng (SUNY Albany) – The Impact of Air Connectivity on International Travel: Evidence from Cross-border Card Payments
Toshiaki Komatsu (Chicago) – Job Ladder over Production Networks
Tom Raster (PSE) – Breaking the ice: The persistent effects of pioneers on trade relationships
Veronica Salazar Restrepo (LSE) – Does Conservation Work in General Equilibrium?
Wei Xiang (Yale) – Clean Growth and Environmental Policies in the Global Economy
Zoe Zhang (Warwick) – Breaking Borders: The Impact of Knowledge Diffusion on the Gains from Trade

Exact hat algebra concerns comparative statics, not calibration

The phrase “exact hat algebra” is used by trade and spatial economists far more often than it is clearly defined. In “Spatial Economics for Granular Settings” (September 2023), Felix Tintelnot and I aim to make clear that exact hat algebra is a means of conducting comparative statics, not a means of calibrating model parameters.

The phrase “exact hat algebra”, which I discussed in a 2018 blog post, is an extension of “hat algebra”. The latter phrase, per Alan Deardorff’s glossary entry, refers to “the Jones (1965) technique for comparative static analysis in trade models.” Jones (1965) presents local comparative statistics that leverage minimalist neoclassical assumptions (e.g., the Rybczynski theorem). By contrast, exact hat algebra delivers global comparative statics by exploiting full knowledge of the supply and demand curves (which is simple when these are constant-elasticity functions).

Both of these techniques are ways of presenting the comparative statics of a theoretical model. Exact hat algebra is not about identification or estimation per se. As Felix and I stress (page 7):

We emphasize the distinction between using the comparative statics defined by equations (5)-(7) to compute counterfactual outcomes and fitting the model’s parameters. Because equations (5)-(7) show that computing counterfactual outcomes only requires knowing the model’s parameters up to the point where the model delivers the shares lkn/L and ykn/Y, others have used the phrase “exact hat algebra” to refer to both rewriting the equations in hats and calibrating combinations of model parameters to rationalize observed shares. In fact, the system of equations defines counterfactual outcomes regardless of how one estimates or calibrates the parameters of the baseline equilibrium. The key question is how to fit the model’s parameters to data.

In our paper, Felix and I show how to fit a model of bilateral commuting flows in a variety of ways: regressing flows on observed bilateral covariates, using matrix approximations such as a rank-restricted singular value decomposition, or calibrating pair-specific cost parameters to replicate the shares observed in the raw data. These different methods produce different predictions about counterfactual outcomes because they produce different baseline equilibrium shares. But exact hat algebra defines the comparative statics of the model (with a continuum of individuals) for each of these parameterizations.

Classifying industries as traded or non-traded

This post follows up on my 2018 post, What economic activities are “tradable”?. Since then, I learned a bit more about this literature from Santiago Franco, a UChicago PhD student studying spatial variation in market power.

Delgado, Porter, and Stern (2016) build on Porter (2003) to divide industries into traded industries and local industries:

Porter (2003) examines the co-location patterns of narrowly defined service and manufacturing industries to define clusters, following the principle that co-location reveals the presence of linkages across industries. The methodology first distinguishes traded and local industries. Local industries are those that serve primarily the local markets (e.g., retail), whose employment is evenly distributed across regions in proportion to regional population. Traded industries are those that are more geographically concentrated and produce goods and services that are sold across regions and countries. The set of traded industries excludes natural-resource-based industries, whose location is tied to local resource availability (e.g., mining).

This approach use a combination of high employment specialization and high concentration across BEA regions to classify industries. One advantage of this classification relative to the Mian and Sufi classification mentioned in my previous post is that its classification of NAICS 6-digit industries into local and traded is exhaustive.

Of course, there are shortcomings and difficulties involved in declaring every industry to be “traded” or not. “Tradable” and “traded” are not exactly synonymous: goods may be tradable but not traded because of the pattern of comparative advantage or weak scale economies, for example.

Here’s one example where I think the classification is troublesome: the Cluster Mapping Project says that all 39 6-digit industries within NAICS 62 “Health Care and Social Assistance” are non-traded. Meanwhile, I’ve written paper on “Market Size and Trade in Medical Services“. Using Medicare claims data, we document that “imported” medical care — services produced by a medical provider in a different region — constitute about one-fifth of US healthcare consumption!

April 2024 update: Also relevant is a recent working paper by Simcha Barkai and Ezra Karger, “Classifying Industries into Tradable/Nontradable via Geographic Radius Served“.

Minnesota is special, economic geography edition

Minnesota is special in many dimensions. The residents will tell you about 14,000+ lakes. The resident macroeconomists will tell you about the four horsemen. Here are two ways that Minnesota is distinctive in terms of the data describing its economic geography.

In the LEHD Origin-Destination Employment Statistics (LODES) data, Minnesota is the only state that reports employment by establishment rather than firm. Graham, Kutzbach, and McKenzie (2014):

For multi-establishment employers, establishments are not assigned to jobs in the source data except for in Minnesota. The LEHD program uses an imputation model with parameters based on the Minnesota data to draw establishments for workers at multiunit employers. An establishment is more likely to be assigned to a worker when it is large and close to that worker’s residential location (based on great-circle distance between address coordinates).

In Minnesota, local government can get pretty local. For example, the mayor of Funkley, MN owns its only business: a bar that also hosts the town council meetings. In Census lingo, legally defined county subdivisions are called minor civil divisions. Minnesota has many. In 2010, the Census Bureau defined 35,703 county subdivisions in the United States. Minnesota had 2,760 of them. That’s more than any other state.

Market Size and Trade in Medical Services

We’ve written a new paper: “Market Size and Trade in Medical Services” with Josh Gottlieb, Maya Lozinski, and Pauline Mourot.

There’s a long-running discussion in health policy about “spatial mismatch”: are doctors and clinics too concentrated in big cities? Our paper emphasizes that you need to quantify the trade-off between local increasing returns and trade costs to answer this question. If the division of labor is limited by the extent of the market, there’s an upside to geographically concentrating production. The downside depends on how difficult it is for patients to travel.

See the paper for the gory details of how we use gravity regressions to estimate the distance elasticity and each region’s service quality and then estimate the regional production function for medical services. Or check out the less technical summary or the podcast interview, courtesy of the Becker Friedman Institute.

One of the heartening lessons for trade economists is that our conventional tools, which have been overwhelmingly developed for and applied to trade in manufactured goods, do a pretty good job of describing medical services. The economic logic and mechanisms are familiar, even if the magnitudes are different in important ways. I’ve learned a lot from my first foray into health economics, and it’s also been a lot of fun to apply classic insights from international and urban economics to a really important service sector.

Spatial economics JMPs (2022-2023)

Here’s a list of job-market candidates whose job-market papers fall within spatial economics, as defined by me quickly skimming webpages. I’m sure I missed folks, so please add them in the comments.

Here’s a cloud of the words that appear in these papers’ titles:spatial_words_2022

Brian Cevallos Fujiy (Michigan) – Spatial Knowledge Spillovers in R&D and Aggregate Productivity: Evidence from the Reunification of Germany
Juan Manuel Castro-Vincenzi (Princeton) – Climate Hazards and Resilience in the Global Car Industry
Diana Sverdlin Lisker (MIT) – Fragmented Markets and the Proliferation of Small Firms: Evidence from Mom-and-Pop Shops in Mexico
Howard Zhang (Columbia) – Consumer Cities: The Role of Housing Variety
Kwok-Hao Lee (Princeton) – The dynamic allocation of public housing: Policy and spillovers
Lucas Conwell (Yale) – Are There Too Many Minibuses in Cape Town? Privatized Provision of Public Transit
Michelle Lam (Michigan) – Implications of Zoning on Urban Gentrification in New York City
Mike Mei (Michigan) – House Size and Household Size: The Distributional Effects of the Minimum Lot Size Regulation
Motoaki Takahashi (Penn State) – The Aggregate Effects of the Great Black Migration
Pierre Bodéré (NYU) – Dynamic Spatial Competition in Early Education: an Equilibrium Analysis of the Preschool Market in Pennsylvania
Rajat Kochhar (USC) – Does Market Power in Local Agricultural Markets Hinder Farmer Climate Change Adaptation?
Daniel Ramos-Menchelli (Harvard) – The Spatial Consequences of Financial Frictions: Evidence from Brazil
Shogo Sakabe (Columbia) – Mobile Human Capital and Diffusion of Ideas Across Cities
Shunsuke Tsuda (Brown) – Human and Nature: Economies of Density and Conservation in the Amazon Rainforest
Nishaad Rao (Michigan) – The Intergenerational Wealth Effects of Local Labor Markets
Edward Olivares (Maryland) – Labor Mobility, Nonlocal Outside Options, and Wages
Catherine van der List (UBC) – How do Establishments Choose their Location? Taxes, Monopsony, and Productivity
Elsie Peng (Penn) – The Dynamics of Urban Development: Evidence from New York
Harrison Wheeler (Berkeley) – Locally Optimal Place-Based Policies: Evidence from Opportunity Zones
Lea Bou Sleiman (Ecole Polytechnique) – Displacing Congestion: Evidence from Paris
Lukas Makovsky (London School of Economics) – The Impact of Construction Constraints on Spatial Allocation during Economic Transition
Minseon Park (University of Wisconsin-Madison) – Location Choice, Commuting, and School Choice
Nicole Gorton (UCLA) – Trade Costs, Supply Chains, and the Decline of the Heartland
Pin Sun (Penn State) – Asymmetric Migration Response: An Application to Welfare Analysis in Climate Change
Samuel K Hughes (Wharton) – How Mortgage Financing Costs Affect Rental Housing: Pass-Through & Pricing
Tillmann von Carnap (IIES Stockholm) – Rural marketplaces and local development
Wei Guo (Berkeley ARE) – The Sharing Economy as Disaster Remedy: The Case of Airbnb
Xinle Pang (Penn State) – Moving Into Risky Floodplains: The Spatial Implication of Flood Relief Policies
Yooseon Hwang (Virginia) – The Welfare Effects of Congestion Pricing: Evidence from High-Occupancy Toll Lanes
Tereza Ranošová (Michigan) – Commuting and the value of marriage
Trevor Bakker (Stanford) – The Effects of Foreclosure on Households
Trevor Williams (Yale) – Right Idea, Wrong Place? Knowledge Spillovers and Spatial Misallocation in R&D
Tuuli Vanhapelto (Toulouse) – House Prices and Rents in a Dynamic Spatial Equilibrium
Brian Higgins (Stanford) – Racial Segmentation in the US Housing Market
Anna Vitali (UCL) – Consumer Search and Firm Location: Theory and Evidence from the Garment Sector in Uganda
Augusto Ospital (UCLA) – Urban Policy and Spatial Exposure to Environmental Risk
Benny Kleinman (Princeton) – Wage Inequality and the Spatial Expansion of Firms
Ellen Liaw (UCSD) – The Impact of Place-Based Housing Subsidy on Academic Performance
Erica Moszkowski (Harvard) – Option Value and Storefront Vacancy in New York City
Raoul van Maarseveen (Uppsala University) – The effect of urban migration on educational attainment: evidence from Africa
Garrett Anstreicher (Wisconsin) – Spatial Influences in Upward Mobility
Jiwon Choi (Princeton) – The Effect of Deindustrialization on Local Economies: Evidence from New England Textile Mill Towns
Jungsoo Yoo (University of Pennsylvania) – Local Attachment and Residential Mobility: Evidence from White Flight in Boston
Levi Crews (Chicago) – A Dynamic Spatial Knowledge Economy
Lukas Althoff (Princeton) – The Geography of Black Economic Progress After Slavery
Luke Heath Milsom (Oxford) – Moving Opportunity. Local Connectivity and Spatial Inequality
Martin B. Schmitz (Vanderbilt) – A Penny for your Thoughts
Elio Nimier-David (CREST) – Local Human Capital and Firm Creation: Evidence from the Massification of Higher Education in France
Ninghui Li (UC Davis) – Innovation Clusters and Spatial Inequality with a Local Brain Drain
Rui Yu (Wharton) – Returns to Political Contributions in Local Housing Markets
Samsun Knight (Brown) – Retail Demand Interdependence and Chain Store Closures
Tianfang (Tom) Cui (UPenn Wharton) – The Emergence of Exclusionary Zoning Across American Cities
Vincent Thorne (Trinity College Dublin) – Cycling Toward Cleaner Cities? Evidence from New York City’s Bike Share Program
Zijian He (Yale) – Measuring Welfare Gains from Online Stores: Theory and Evidence from the Supreme Court’s Wayfair Decision

Trade JMPs (2022-2023)

For the 13th year running, I’ve gathered a list of trade-related job-market papers. If I’ve missed someone, please contribute to the list in the comments.

Here’s a cloud of the words that appear in these papers’ titles:

Jay Sayre (Berkeley) – Farm to Firm: Clustering and Returns to Scale in Agricultural Supply Chains
Marina M. Ngoma (Tufts) – Chinese Imports and Industrialization in Africa: Evidence from Ethiopia
Alejandra López Espino (Penn State) – Production Networks and Rules of Origin: moving from NAFTA to USMCA
Antoine L. Noel (Queen’s University) – Production Structures and Preferential Trade Agreements
Eleanor Wiseman (Berkeley ARE) – Border Trade and Information Frictions: Evidence from Informal Traders in Kenya
Benny Kleinman (Princeton) – Wage Inequality and the Spatial Expansion of Firms
Juan Manuel Castro-Vincenzi (Princeton) – Climate Hazards and Resilience in the Global Car Industry
Gizem Kutlu (Virginia) – Gains from Trade with Heterogenous Households
Ji Hye Heo (Vanderbilt) – Product Bundling, Joint Markups and Trade liberalization
Manho Kang (UC Davis) – Export Competition and Innovation
Maria Ptashkina (Universitat Pompeu Fabra) – Revisiting the Effects of Preferential Trade Agreements
Sheng “Charles” Cai (Yale) – Multinational Production, Technology Diffusion, and Economic Growth
Kensuke Suzuki (Penn State) – Gains of Foreign Employment: Regional and Sectoral Implications
Mina Taniguchi (LMU Munich) – What is the impact of EU enlargement? Estimating the wage effect of labor supply shocks with a discrete choice model
Linnea Lorentzen (Norwegian Business School) – Domino Effects: Understanding Sectoral Reallocation and its Wage Implications
Mateo Hoyos (UMass Amherst) – Tariffs and Growth: Heterogeneous Effects by Economic Structure
Nicole Gorton (UCLA) – Trade Costs, Supply Chains, and the Decline of the Heartland
Promise Kamanga (Oregon) – Diplomatic Relations and Trade: The Effect of Switching Ties from Taiwan to China
Takafumi Kawakubo (LSE) – Do Supply Chain Disruptions Harm Firm Performance? Evidence from Japan
Yipei Zhang (Berkeley) – The Anti-Competitive Effect of Input Tariff Liberalization
Joao Monteiro (Kellogg) – The Impact of a Higher Cost of Credit on Exporters: Evidence from a Change in Banking Regulation
Agustin Gutierrez (Chicago) – Labor Market Power and the Pro-competitive Gains from Trade
Jianlin Wang (Berkeley) – Multinationals and Uncertainty: The Role of Internal Capital Markets
Leticia Juarez (Michigan) – Buyer Market Power and Exchange Rate Pass-through
Marco Errico (Boston College) – Decomposing the (In)Sensitivity of CPI to Exchange Rate
Mauricio Stern (Texas) – Windfalls for all? International elasticities and Dutch disease in a commodity exporting economy
Nan Liu (Virginia) – Trade War, Processing Trade, and Global Value Chains
Paul Phillips (Minnesota) – A Tale of Two Recessions: Decomposing Import Patterns After 2020 and 2008
Ruichi Xiong (Toronto) – Interregional Accessibility and Firm Creation in the Fragmented Economy
Sang Min Lee (Minnesota) – Trade Liberalization and Structural Transformation: The Role of Tradable Services
Soo Kyung Woo (Rochester) – Real Exchange Rate and Net Trade Dynamics: Financial and Trade Shocks
Xiaomei Sui (Rochester) – Uneven Firm Growth in a Globalized World
Yukun Ding (USC) – How Does Trade Policy Uncertainty Affect Export: Expectation or Volatility?
Younghun Shim (Chicago) – From Adoption to Innovation: State-Dependent Technology Policy in Developing Countries

Bhagwati Award and Lösch Prize

I am delighted that my research has recently garnered two prizes, one in international trade and one in regional science.

The Journal of International Economics granted the 2022 Bhagwati Award to “The Comparative Advantage of Cities” (joint with Don Davis). This award recognizes the best trade paper published in the JIE during the past two years.

The City of Heidenheim and the August Lösch Association awarded me the 2022 August-Lösch Prize, recognizing three of my papers published in 2020 and 2021 (“The Comparative Advantage of Cities”; “Cities, Lights, and Skills in Developing Economies”; “How Many Jobs Can be Done at Home?”). This prize recognizes outstanding academic research in the field of Regional Science.