Author contact info: Glenn Ellison Department of Economics Massachusetts Institute of Technology 50 Memorial Drive, E52-380A Cambridge, MA 02142-1347 Tel: 617/253-8702 Fax: 617/253-1330 E-Mail: gellison@mit.edu Edward L. Glaeser Department of Economics 315A Littauer Center Harvard University Cambridge, MA 02138 Tel: 617/495-0575 Fax: 617/495-7730 E-Mail: eglaeser@harvard.edu William Kerr 3 Wheeler Road Lincoln, MA 01773 Tel: 617-496-7021 Fax: 617-495-3817 E-Mail: wkerr@hbs.edu Many industries are geographically concentrated. Many mechanisms that could account for such agglomeration have been proposed. We note that these theories make different predictions about which pairs of industries should be coagglomerated. We discuss the measurement of coagglomeration and use data from the Census Bureau's Longitudinal Research Database from 1972 to 1997 to compute pairwise coagglomeration measurements for U.S. manufacturing industries. Industry attributes are used to construct measures of the relevance of each of Marshall's three theories of industry agglomeration to each industry pair: (1) agglomeration saves transport costs by proximity to input suppliers or final consumers, (2) agglomeration allows for labor market pooling, and (3) agglomeration facilitates intellectual spillovers. We assess the importance of the theories via regressions of coagglomeration indices on these measures. Data on characteristics of corresponding industries in the United Kingdom are used as instruments. We find evidence to support each mechanism. Our results suggest that input-output dependencies are the most important factor, followed by labor pooling.