agglomeration and trade state level evidence from u s
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Agglomeration and Trade: State-Level Evidence from U.S. Industries Hakan Yilmazkuday Journal of Regional Science 2011; JRS Volume 51, Issue 1, 139166. Yilmazkuday (2011; JRS) Agglomeration and Trade Volume 51, Issue 1, 139166. 1 / 5


  1. Agglomeration and Trade: State-Level Evidence from U.S. Industries Hakan Yilmazkuday Journal of Regional Science 2011; JRS Volume 51, Issue 1, 139–166. Yilmazkuday (2011; JRS) Agglomeration and Trade Volume 51, Issue 1, 139–166. 1 / 5

  2. Highlights What portion of the state- and industry-level production is consumed as a …nal good within the United States? How are these portions connected to economic agglomeration and specialization e¤ects? What are the elasticities of substitution across products of di¤erent states at the state and industry levels? Are these elasticities systematically connected to economic agglomeration and specialization e¤ects? Using interstate trade data would su¤er from the lack of actual consumption and production data Agglomeration and specialization of both production and consumption Yilmazkuday (2011; JRS) Agglomeration and Trade Volume 51, Issue 1, 139–166. 2 / 5

  3. Methodology Under CES, when the elasticity of substitution η i ( j ) is state i and industry j speci…c, pricing-to-markup implies the following markups for producers that are also state and industry speci…c: ∑ i η i ( j ) C H i , r ( j ) π H r ( j ) = ∑ i ( η i ( j ) � 1 ) C H i , r ( j ) η i ( j ) ’s can be estimated using consumption and production markup data at the state and industry level After controlling for U.S. international imports in the data, portion of the state- and industry-level production is consumed as a …nal good is: r ( j ) = ∑ α H r ( j ) P H r , r ( j ) Y H P H r , r ( j ) C H i , r ( j ) i α H r ( j ) ’s can be estimated using production and …nal good consumption data. Estimated η i ( j ) ’s and α H r ( j ) ’s are compared with agglomeration and specialization e¤ects. Yilmazkuday (2011; JRS) Agglomeration and Trade Volume 51, Issue 1, 139–166. 3 / 5

  4. Estimation Consumption and production data from U.S. Census Bureau food and beverage and tobacco products apparel and leather and allied products computer and electronic products furniture and related products Other supplementary data (see the paper) Nonlinear least squares estimations result in average (across states) � � η r ( j ) , α H estimates of r ( j ) ( 2 . 65 , 0 . 72 ) food and beverage and tobacco products ( 2 . 10 , 0 . 85 ) apparel and leather and allied products ( 2 . 83 , 0 . 25 ) computer and electronic products ( 2 . 90 , 0 . 79 ) furniture and related products Yilmazkuday (2011; JRS) Agglomeration and Trade Volume 51, Issue 1, 139–166. 4 / 5

  5. Agglomeration and Specialization E¤ects The agglomeration e¤ects of consumption are signi…cant for all industries The specialization e¤ects of consumption are signi…cant only for apparel and electronics. Specialized and agglomerated industries/states sell more of their products as intermediate inputs or international exports. Thus, agglomeration and specialization of industries play an important role in determining the patterns of trade, both intranationally and internationally. Spillover e¤ects are much higher for electronics compared to food, apparel, or furniture, in terms of both consumption and production. Yilmazkuday (2011; JRS) Agglomeration and Trade Volume 51, Issue 1, 139–166. 5 / 5

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