GEOGRAPHY, INDUSTRIAL ORGANIZATION, AND AGGLOMERATION, 2003
文章内容
This paper addresses the geographic and organizational nature of agglomeration by examining the birth of new establishments and the employment levels that they choose.
Specifically, we estimate the determinants of the number of births per square mile and their associated employment levels as functions of the economic environment when the location decisions were made.
模型
To control for differences in ZIP code size, both births and new-establishment employment are deflated by ZIP code area and are interpreted as arrivals per square mile hereafter. Location and employment decisions are made at time t - 1, taking the existing economic environment as given, and establishments are born one period later at time t. We suppose that the local characteristics of each ZIP code, yj, are partitioned into two parts, yz,j and ymj. The elements of yz vary by ZIP code, whereas the elements of ym vary by metropolitan area. Aggregating over establishments gives the number of births per square mile (B) and total new-establishment employment (N) in ZIP code j, which we express as linear functions of yz, and ym.
B_(j,t)=b_z y_(z,j,t-1)+b_m y_(m,j,t-1)+ε_(b,t)
N_(j,t)=n_z y_(z,j,t-1)+n_m y_(m,j,t-1)+ε_(n,t)
使用固定效应处理都市区的效应.
因变量
1997年第4季度新建企业数量和他们的就业人口。
自变量
For each industry we calculate the existing level of employment both within and outside the industry in question.
第一个地理聚集的指标.
To measure the geographic extent of agglomerative externalities we create a set of concentric-ring variables for both types of employment. These variables are calculated as follows. First, employment in a given ZIP code is treated as being uniformly distributed throughout the ZIP code. Then, using mapping software, circles of radius ri, i=1,2,…15, are drawn around the geographic centroid of each ZIP code in the United States. The level of own-industry employment contained within a given circle is then calculated by constructing a proportional (weighted) summation of the own industry employment for those portions of the ZIP codes intersected by the circle.
The same procedure is used to calculate the level of other industry employment within each circle.
Differencing employment levels for adjacent cicles (by employment type) yields estimates of the levels of own- and other-industry employment within a given concentric ring. Thus, the 2 mile ring (r2) reflects employment between the 1 and 2 mile circles, and so on out to 15 miles.
第二个竞争力指数. The number of establishments per worker is calculated to proxy for local competitiveness. This variable is calculated separately for own-industry employment and employment outside of the own industry.
第三个指标多样化指数。Herfindahl index of employment by two-digit SIC industries as in Henderson et al. (1995).
Both the competitiveness variables and the Herfindahl index are calculated only at the ZIP code level.
第四个metropolitan-area fixed effects.
产业: 6个
Software (SIC 7371, 7372, 7373, 7375)
Food processing (SIC 20)
Apparel (SIC 23)
Printing and publishing (SIC 27)
Fabricated metals (SIC 34)
Industrial and commercial machinery (SIC 35)
估计方法:Tobit模型,因为有大量0值
This raises a technical issue in that imprecise estimation of the fixed effects in nonlinear models typically leads to inconsistent estimates of the slope coefficients. In addition, tobit models are more sensitive to distributional assumptions than are linear regressions.
(1) the bias resulting from noisy estimates of fixed effects in nonlinear models goes to zero as the number of observations per fixed effect becomes arbitrarily large.
(2) our results are robust. Probit fixed effect model examines whether individual ZIP codes have positive or zero births. To facilitate review of the attenuation pattern, the partial derivatives based on the probit coefficients are reported.
评议
作者使用地理信息系统软件做分析很新颖,尚不知如何操作. 其仅仅将聚集经济变量考虑到ZIP之外,考虑外部性.其他变量都是ZIP内的数值.