Table 2. Panel regression result.

Variables		Model 11)			Model 22)
		Coefficient	Robust SE	P-value	Coefficient	Robust SE	P-value
log(Purchase amounts of HMR)3)		0.004	0.001	0.000
	log(Purchase amounts of RTE)3)				0.001	0.001	0.279
	log(Purchase amounts of RTP)3)				0.020	0.007	0.007
	log(Purchase amounts of RTH)3)				0.003	0.001	0.067
	log(Purchase amounts of RTC)3)				0.006	0.001	0.000
Age4)		−0.003	0.018	0.849	−0.003	0.018	0.855
Age2 4)		−0.000	0.000	0.760	−0.000	0.000	0.752
Household size		0.038	0.026	0.149	0.038	0.026	0.144
Child (Has child)		0.012	0.076	0.877	0.014	0.076	0.850
log(Household income)3)		−0.079	0.087	0.363	−0.082	0.086	0.344
Wife’s occupation (Employed)		0.060	0.081	0.461	0.057	0.082	0.481
Residence (Metropolitan)		0.183	0.080	0.022	0.177	0.080	0.027
Perceived importance of quality		0.005	0.004	0.201	0.005	0.004	0.196
Observations		38,313			38,313
No. of respondents		1,095			1,095
Prob > F-value		0.000			0.000

The categorical variables are all binary, including: Child (No child = 0, Has child = 1), Wife’s occupation (Unemployed = 0, Employed = 1), and Residence (Non-metropolitan = 0, Metropolitan = 1).

HMR, home meal replacement; RTE, ready-to-eat; RTP, ready-to-prepare; RTH, ready-to-heat; RTC, ready-to-cook.

¹⁾Model 1: A model examining the relationship between the monthly purchase amounts of all HMRs, excluding meal kits, and the monthly purchase amounts of meal kits.

²⁾Model 2: A model examining the relationship between the monthly purchase amounts of the 4 categories of HMRs, excluding meal kits, and the monthly purchase amounts of meal kits.

³⁾Unit of purchase amounts and household income: 10,000 KRW.

⁴⁾Unit of age: year.