Journal of Urban Economics

Replication folder including data and code for JUE Insight: Using the Mode to Test for Selection in City Size Wage Premia

LSMS based data for 6 African countries combined with Landscan data to relate wage and household income to measures of economic density and city, town, and rural status. LSMS is open source. All relevant programs included

The zip file includes the following data: 1. File "all_municipalities_refugee_centre.dta" that includes all the municipality and if the host a refugee centre. 2. File "referendum2016.dta" that includes the municipality for which we have been able to link all the dataset containing the necessary controls. 3. File "general_elections.dta" includes information about general national elections in 2001, 2006, 2008, 2013 and 2018 The dofile named "tables_referendum.do" replicates the following tables: Table 2 Panel A, B, C Table 3 Panel A, B, C Table 4 Panel B Table 5 Panel A, B, C Table OA5 Table OA6 Table OA7 Table OA8 Panel A, B Table OA9 Panel A, B Table OA10 Panel A, B Table OA11 Table OA12 Table OA13 Table OA14 Table OA15 The dofile named "tables_general_elections.do" replicates the following tables: Table 4 Panel A Table 5 Panel A, B, C Table 6 Panel A, B Table 7 Table OA3 The RScript named tableOA4.R replicates Table OA4 The dofile named "figures.do" replicates the following figures: Figure 1 Figure 3 Figure 4 Figure 5 Figure 6 Figure OA2

Replication files accompanying the paper: Bosker, Maarten, Jane Park and Mark Roberts (forthcoming) "Definition Matters. Metropolitan Areas and Agglomeration Economies in a Large Developing Country."

This data was used in the paper "Locational fundamentals, trade, and the changing urban landscape of Mexico" by Jennifer Alix-Garcia and Emily Sellars. Details for the construction of the database can be found in the manuscript.

Real rents measured in the United States CPI increased 17.4 log-points from 2000-2018. We present a spatial equilibrium framework to decompose the increase into several channels, including demand to live in housing-supply-inelastic cities. We find location demand contributed significantly: using parameterizations from the literature and a new rent index, we find it is responsible for between 17 and 73 percent of the overall rent increase, and an even larger share in cities where CPI is measured. The wide range is primarily due to a lack of consensus over the population elasticity to rents, so we estimate it by comparing the effects of demand shocks across cities of differing housing supply elasticities. We find that demand changes have similar effects across cities, suggesting a high population elasticity. Therefore, our preferred estimate is that location demand accounts for more than half of the increase. We discuss implications for housing supply policy.