howard.cl: Howard-Newman-Tarp colocation index
In REAT: Regional Economic Analysis Toolbox

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

Calculating the colocation index (CL) by Howard, Newman and Tarp for two industries

1	howard.cl(k, industry, region, industry1, industry2, e_k = NULL)

`k`	a vector containing the IDs/names of firms k
`industry`	a vector containing the IDs/names of the industries i
`region`	a vector containing the IDs/names of the regions j
`industry1`	Regarded industry 1 (out of the `industry` vector)
`industry2`	Regarded industry 2 (out of the `industry` vector)
`e_k`	Employment of firm k

The Howard-Newman-Tarp colocation index (CL) is standardized (0 ≤ CL ≤ 1). Processing time depends on the number of firms.

A single value of CL

Thomas Wieland

Howard, E./Newman, C./Tarp, F. (2016): “Measuring industry coagglomeration and identifying the driving forces”. In: Journal of Economic Geography, 16, 5, p. 1055-1078.

howard.xcl, howard.xcl2, ellison.c, ellison.c2

# example from Howard et al. (2016):
firms <- 1:6
industries <- c("A", "B", "A", "B", "A", "B")
locations <- c("X", "X", "X", "Y", "Y", "X")

howard.cl(firms, industries, locations, industry1 = "A", 
industry2 = "B")