countyg.txt

计量工具箱

% US county-level growth data set from Christoper H. Wheeler
% Journal of Applied Econometrics web site, Jim LeSage added
% the latitude/longitudes
%       Variables appear in the following order:
% columns
%   1     STATE/county = state FIPS code
%   2     latitude centroid for the county
%   3     longitude centroid for the county
%   4     EMPGR = employment growth rate (1980-90)
%   5     POPGR = population growth rate (1980-90)
%   6     DEMPGR = employment growth rate minus
%                 mean across all counties in same state (1980-90)
%   7     DPOPGR = population growth rate minus
%                 mean across all counties in same state (1980-90)
%   8     LOGEMP = natural logarithm of employment 1980
%   9     LOGPOP = natural logarithm of population 1980
%   10    EDENS = employment density (employment per square mile) 1980
%   11    PDENS = population density (population per square mile) 1980
%   12    LOGAREA = natural logarithm of land area 1980
%   13    COLLRATE = fraction of adult population with bachelor's degree
%                or more 1980
%   14    MFGRATE = fraction of employment in manufacturing 1980
%   15    UR = unemployment rate 1980
%   16    PCINC = per capita income (dollars) 1979
%   17    EDUCSH = share of local government spending on education 1982
%   18    HWSH = share of local government spending on highways 1982
%   19    POLSH = share of local government spending on police 1982
%   20    NWRATE = fraction of population that is not white 1980
%   21    URBAN = urban indicator variable
%                (= 1 if county located in metropolitan area) 1990
%   22    RURAL = rural indicator variable
%                ( = 1 if county located outside metropolitan area) 1990
%

load countyg.dat;

y1 = countyg(:,4); % county employment growth rate
y2 = countyg(:,5); % county population growth rate

% latt = countyg(:,2);
% long = countyg(:,3);

% [j W j] = xy2cont(latt,long);

n = length(y1);

xmat = [ones(n,1) countyg(:,8) countyg(:,10:end-1)];
vnames = strvcat('y=empgr80-90','constant','logy80','empdensity','popdensity','log area', ...
    'college','manufemp','unemploy','y-percapita','education spending','highway spending','police spending', ...
    'non-white','urban dummy');

% employment growth regressions
result1 = ols(y1,xmat);
prt(result1,vnames);

% population growth regressions
result2 = ols(y2,xmat);
prt(result2,vnames);