ellison.c: Ellison-Glaeser Coagglomeration Index
In REAT: Regional Economic Analysis Toolbox

Description Usage Arguments Details Value Author(s) References See Also Examples

Calculating the Coagglomeration Index by Ellison and Glaeser for one set of U industries

1	ellison.c(e_ik, industry, region, e_j = NULL, c.industries = NULL)

`e_ik`	a numeric vector containing the no. of employees of firm k from industry i
`industry`	a vector containing the IDs/names of the industries i
`region`	a vector containing the IDs/names of the regions j
`e_j`	a numeric vector containing the total employment of the regions j
`c.industries`	optional: a vector containing the regarded U industries (where U ≤ I)

The Ellison-Glaeser Coagglomeration Index is not standardized. A value of γ_c = 0 indicates a spatial distribution of firms equal to a dartboard approach. Values below zero indicate spatial dispersion, values greater than zero indicate clustering.

A single value of γ_c

Thomas Wieland

Ellison G./Glaeser, E. (1997): “Geographic concentration in u.s. manufacturing industries: A dartboard approach”. In: Journal of Political Economy, 105, 5, p. 889-927.

Farhauer, O./Kroell, A. (2014): “Standorttheorien: Regional- und Stadtoekonomik in Theorie und Praxis”. Wiesbaden : Springer.

Nakamura R./Morrison Paul, C. (2009): “Measuring agglomeration”. In: Capello, R./Nijkamp, P. (eds): Handbook of Regional Growth and Development Theories, p. 305-328.

ellison.a, ellison.a2, ellison.c2, gini.conc, gini.spec, locq, locq2, howard.cl, howard.xcl, howard.xcl2, litzenberger, litzenberger2

# Example from Farhauer/Kroell (2014):
data(FK2014_EGC)

ellison.c(FK2014_EGC$emp_firm, FK2014_EGC$industry, 
FK2014_EGC$region, FK2014_EGC$emp_region)