By Edward L. Glaeser

Whilst businesses and other people can be found close to one another in towns and in commercial clusters, they gain in numerous methods, together with via lowering the prices of replacing items and ideas. One may perhaps think that those advantages could develop into less significant as transportation and communique bills fall. ironically, besides the fact that, towns became more and more very important, or even inside towns business clusters stay very important. Agglomeration Economics brings jointly a gaggle of essays that study the explanations why fiscal job maintains to cluster jointly regardless of the falling bills of relocating items and transmitting info. The reviews hide a variety of issues and procedure the economics of agglomeration from assorted angles. jointly they develop our knowing of agglomeration and its implications for a globalized international.

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Extra info for Agglomeration Economics (National Bureau of Economic Research Conference Report)

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Second, a two-step approach allows us to account for area-specific error terms when computing the standard errors for the coefficients we estimate. Doing so is important, because Moulton (1990) shows that standard errors can be seriously biased otherwise. Accounting for area-specific errors with a one-step approach is not possible, given that workers can move across areas. 16 Before turning to our results, it is interesting to note that these three local wage variables are strongly correlated with one another.

Combes, G. Duranton, L. Gobillon, and S. 9 reports results for a number of regressions in which market potential is added as a control. In columns (1) to (3), our measures of wages W 1, W 2, and W 3 are regressed on density and market potential using OLS. 03. 6, where market potential is omitted.

The coefficient on employment density is positive and highly significant in all cases. However, it is above its OLS counterpart rather than below, even more so than in column (4). 7 is due to the fact that soil variables are not only correlated with the employment density but also with the market potential, which is missing. 7 may be biased upward. 29. 27. 23 To explore this problem further, we now consider historical and geological instruments at the same time. 8 reports the results for a number of regressions using both 1831 density and some soil characteristics.

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