 




R. Kelley Pace 
LREC Endowed Chair of Real Estate 
Department of Finance 
E.J. Ourso College of Business Administration 
Louisiana State University 
Baton Rouge, LA 708036308 
OFF: (225)5786256, FAX: (225)5786095 
kelley@pace.am, www.spatialstatistics.com 
1 Why the Toolbox Exists 
2 Using the Toolbox 
2.1 Hardware and Software Requirements 
2.2 Installation 
2.3 Help and documentation 
2.4 Known Limitations 
2.5 Tips on Using the Toolbox 
2.6 Included Examples 
2.7 Included Datasets 
2.8 Included Manuscripts 
3 A Brief, Selected Tour of the Toolbox 
4 References 
List of Tables 
3.1 _SAR Estimation Results using Chebyshev lndet approximation and likelihood dominance inference 
3.2 _SAR Estimation results using exact lndet 
3.3 _Estimates on Election Data 
3.4 _Signed Root Deviances using Election Data 
3.5 _Timing for operations to Election data (n=3,107) 
3.6 _Distribution of local estimates 
3.7 _Times for Different Methods for 57,647 Observations 
3.8 _Likelihoods across for Doubly Stochastic Scaling 
3.9 _Times for Optimizing the Likelihood over for Both Scalings 
3.10 _Likelihoods Across Doubly Stochastic and Regular Scalings 
3.11 _OLS versus MESS Results Using Optimal for Doubly Stochastic Scaling 
3.1 _Connections among Counties via Delaunay 
3.2 _Connections among Counties via Eight Nearest Neighbors 
3.3 _Plot of Nonzeros of Delaunay Weight Matrix 
3.4 _Plot of Nonzeros of Permuted Delaunay Weight Matrix 
3.5 _Plot of Exact logdeterminant with Chebyshev Approximation and Taylor Bounds 
3.6 _Plot of Exact logdeterminant with Monte Carlo Approximation and Limits 
3.7 _SAR Profile Likelihoods by Model 
3.8 _Plot of Fringe prediction error versus subsample size 
3.9 _Plot of prediction error on center of area versus subsample size 
3.10 _Spatial dependence parameter estimate versus subsample size 
3.11 _Map of influence of homeownership on voting 
Chapter 1 
Variables  Beta Estimates  Signed Root Deviances  PR of Higher SRDS 
Voting Pop  0.7784  31.1227  0.0000 
Education  0.2696  9.3438  0.0000 
Home Ownership  0.4530  26.2661  0.0000 
Income  0.0071  0.0035  0.9972 
Intercept  0.5443  7.8773  0.0000 
Alpha  0.7250  32.7719  0.0000 
Variables  Beta Estimates  Signed Root Deviances  PR of Higher SRDS 
Voting Pop  0.7806  32.1748  0.0000 
Education  0.2746  11.9438  0.0000 
Home Ownership  0.4525  27.0073  0.0000 
Income  0.0047  0.2187  0.8269 
Intercept  0.5528  9.4908  0.0000 
Alpha  0.7150  34.8648  0.0000 
Variables  b OLS  b closest  b MESS  b Mix 
Voting Pop  0.8464  0.7489  0.7693  0.7298 
Education  0.5167  0.2899  0.1941  0.1818 
Home Ownership  0.4291  0.4457  0.4832  0.4580 
Income  0.1439  0.0332  0.0423  0.0427 
Lag Voting Pop  0.0000  0.1878  0.4186  0.4616 
Lag Education  0.0000  0.0975  0.1205  0.0450 
Lag Home Ownership  0.0000  0.1569  0.3249  0.3299 
Lag Income  0.0000  0.1079  0.1802  0.1410 
Intercept  0.9814  0.7495  0.5636  0.4205 
0.0000  0.3352  1.4628  0.6550 
Variables  b OLS  b closest  b MESS  b Mix 
Voting Pop  34.7211  30.5020  28.8899  29.4018 
Education  30.8928  13.4922  7.6654  7.7169 
Home Ownership  23.0066  25.4083  26.8836  27.3515 
Income  7.2373  1.5742  1.7478  1.8952 
Lag Voting Pop  0.0000  7.7600  10.7656  12.5507 
Lag Education  0.0000  4.5090  3.9785  1.5705 
Lag Home Ownership  0.0000  9.4245  11.1259  12.1200 
Lag Income  0.0000  5.1399  5.5551  4.6603 
Intercept  20.2782  16.0533  10.7480  8.4626 
0.0000  24.2762  31.5948  33.7097 
Operation  Timings in seconds 
OLS  0.0150 
Closest AR  0.0470 
MESS  0.0940 
Exact Logdet  0.8750 
Mix  0.0470 
Doubly Stochastic Scaling  0.2660 
Percentiles  0  10  25  50  75  90  100 
0.3100  0.4300  0.5500  0.6300  0.6700  0.7100  0.7800  
Voting Pop  1.0079  0.8875  0.8075  0.6962  0.5967  0.5299  0.4066 
Education  0.1871  0.0517  0.1142  0.1788  0.3135  0.4923  0.7118 
Home Ownership  0.1530  0.2964  0.3419  0.4253  0.5161  0.7660  0.8461 
Income  0.2576  0.1644  0.1072  0.0473  0.0628  0.1448  0.2325 
Lag Voting Pop  0.1525  0.0655  0.2868  0.4527  0.5490  0.6523  0.8806 
Lag Education  0.5734  0.3666  0.1812  0.0299  0.0677  0.1322  0.3318 
Lag Home Ownership  0.7010  0.4499  0.3278  0.2337  0.1100  0.0382  0.1880 
Lag Income  0.4764  0.2374  0.1733  0.0897  0.0216  0.0862  0.2786 
Intercept  0.1605  0.0473  0.1463  0.2847  0.6612  1.0772  1.8902 
Method  Time in seconds 
OLS  0.1560 
Closest AR  0.1090 
MESS  0.6090 
Approximate Mix  0.3280 
Doubly Stochastic Scaling  7.1880 
Delaunay Weight Matrix  5.4220 
loglikelihood  
0.8000  231,895.0426 
0.8500  230,968.8487 
0.9000  230,828.6413 
0.9500  231,699.1089 
1.0000  233,434.5371 
Operation  Time in seconds 
NN computation  31.4060 
RS Time to find optimum  56.7810 
DS Time to find optimum  94.8750 
Variable  Value 
Aspatial likelihood (OLS)  266,505.1663 
Closest Neighbor  243,986.1676 
RS Delaunay maximum likelihood  244,509.8257 
RS Maximum likelihood across  254,216.3172 
RS Optimum  0.9000 
DS Delaunay maximum likelihood  235,626.6213 
DS Maximum likelihood across  230,828.6413 
DS Optimum  0.9000 
Variables  OLS  OLS SRD  b MESS  SRDS MESS 
Land area  0.0850  96.8455  0.0008  0.7159 
Pop  0.1146  36.8592  0.0239  12.7630 
Per cap Income  1.0837  208.2192  0.6786  152.7645 
Age  0.1269  34.2809  0.1384  45.0489 
Lag Land area  0.0178  14.5650  
Lag Pop  0.0165  5.2437  
Per cap Income  0.3702  65.2683  
Lag Age  0.1088  27.5807  
Intercept  1.2236  22.9837  0.5988  15.2122 
3.0986  253.2835  
(relative to )  0.90  72.1927  
Nearest Neighbors  30  
parameters  5  11 