Tobacco outlet density and demographics: Analysing the relationships with a spatial regression approach

Keyphrases

• New Jersey 100%
• Regression Approach 100%
• Spatial Regression 100%
• Tobacco Outlet Density 100%
• Spatial Effects 80%
• Tobacco Outlets 60%
• Least Squares 60%
• Geographic Region 40%
• Census Tract 40%
• Spatial Lag Model 40%
• Sociodemographic Characteristics 40%
• Reliable Results 40%
• Demographic Variables 20%
• Retail Outlet 20%
• Census Data 20%
• Median Income 20%
• Sociodemographic Correlates 20%
• Tobacco 20%
• African American 20%
• Selling 20%
• Tobacco Products 20%
• Hispanic 20%
• Residual Autocorrelation 20%
• Regression Model 20%
• Spatial Autocorrelation 20%
• Tobacco Company 20%
• Socioeconomic Status 20%
• Socioeconomic 20%
• Analytical Results 20%
• Regression Method 20%
• Socioeconomic Factors 20%
• Demographic Factors 20%
• Regression Results 20%
• Analytical Approach 20%
• One-state Reality 20%
• Public Health Research 20%
• Positive Coefficients 20%
• Spatial Regression Model 20%
• Autocorrelation Test 20%
• Physical Availability 20%
• Spatial Fit 20%
• Tobacco Sale 20%
• Spatial Analysis Method 20%
• Eastern USA 20%
• Inference Based 20%
• Density Characteristics 20%
• Squared Residuals 20%
• Socioeconomically Disadvantaged 20%
• Least Squares Estimation 20%
• Economically Disadvantaged Areas 20%
• Socioeconomic Data 20%

Social Sciences

• Population Censuses 100%
• USA 100%
• Sociodemographics 66%
• Autocorrelation 66%
• Household Income 33%
• Socioeconomic Status 33%
• Demographic Factor 33%
• Public Health Research 33%
• Tobacco Sales 33%
• Applied Research 33%
• Socioeconomic Factor 33%