spc: A classical Spatial Phillips-Curve

In spsur: Spatial Seemingly Unrelated Regression Models

A classical Spatial Phillips-Curve

Description

A data set from Anselin (1988, p. 203-2011) used to estimate a Spatial Phillips-Curve for 25 counties in South-West Ohio for two time periods (1981 and 1983).

Usage

spc

Format

A data frame with 25 rows and 10 variables:

COUNTY

County coded as a name.

WAGE83

Changes in wage rates for 1983.

UN83

Inverse unemployment rate in 1983.

NMR83

Net migration rate 1983.

SMSA

Dummy variable to identify counties defined as Standard Metropolitan Statistical Areas (SMSA = 1).

WAGE82

Changes in wage rates for 1982.

WAGE81

Changes in wage rates for 1981.

UN80

Inverse unemployment rate in 1980.

NMR80

Net migration rate 1983.

WAGE80

changes in wage rates.

geometry

geometry of sf object.

Source

Anselin (1988, p. 203-211)

References

• Anselin, L. (1988). Spatial Econometrics: Methods and Models. Springer Science & Business Media.

spsur documentation built on Oct. 30, 2022, 1:06 a.m.