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Table 3 Income and spicy preference

From: Accounting for tastes: do low-income populations have a higher preference for spicy foods?

  (1) (2) (3) (4)
OLOGIT OLS OLOGIT OLS
PCI(log) − 0.0371*** (0.0116) − 0.0216*** (0.00670) − 0.0289** (0.0126) − 0.0164** (0.00697)
Household registration status    − 0.103*** (0.0382) − 0.0541*** (0.0195)
Marital status    0.149*** (0.0440) 0.0754*** (0.0221)
Male    0.232*** (0.0321) 0.120*** (0.0167)
Age    − 0.00930*** (0.00132) − 0.00479*** (0.000667)
Years of schooling    − 0.00149 (0.00507) − 0.000934 (0.00257)
Locations
 Heilongjiang    0.125* (0.0718) 0.0665* (0.0386)
 Jiangsu    − 0.329*** (0.0725) − 0.163*** (0.0355)
 Shandong    − 0.186*** (0.0710) − 0.0999*** (0.0360)
 Henan    − 0.160** (0.0753) − 0.0832** (0.0385)
 Hubei    − 0.182*** (0.0702) − 0.0951*** (0.0356)
 Hunan    0.389*** (0.0630) 0.210*** (0.0340)
 Guangxi    − 0.195** (0.0786) − 0.0986** (0.0396)
 Guizhou    0.440*** (0.0620) 0.240*** (0.0334)
Employment
 Junior worker    0.0939** (0.0387) 0.0454** (0.0201)
 Senior worker    0.144** (0.0573) 0.0747** (0.0305)
 Manager    0.279*** (0.0688) 0.147*** (0.0378)
Cons   1.773*** (0.0601)   1.811*** (0.0768)
cut1 − 0.326*** (0.104)   − 0.415*** (0.142)  
cut2 1.059*** (0.105)   1.041*** (0.143)  
Observations 5964 5964 5964 5964
  1. Standard errors are clustered in the county level (reported in parentheses). Liaoning is considered the reference for locations. Unemployment is considered the reference for employment
  2. ***, **, and * indicate statistical significance at the 1%, 5%, and 10% level respectively