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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