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Table 5 Results of multinomial logistic regression analysis

From: Exploring consumers’ attitudes towards informal patient payments using the combined method of cluster and multinomial regression analysis - the case of Hungary

 

Model 1

  

Model 2

  

VARIABLES

Pr(clust = 1)

Pr(clust = 2)

Pr(clust = 3

Pr(clust = 1)

Pr(clust = 2)

Pr(clust = 3)

age < 35

0.0754*

−0.0367

−0.0387

0.0783*

−0.0287

−0.0495

 

(1.889)

(−0.993)

(−1.030)

(1.909)

(−0.754)

(−1.319)

age ≥ 60

0.0848*

−0.0474

−0.0374

0.0636

−0.0409

−0.0227

 

(1.920)

(−1.154)

(−0.923)

(1.391)

(−0.964)

(−0.548)

gender: woman

0.0173

0.0568*

−0.0741**

0.00993

0.0532

−0.0632*

 

(0.525)

(1.750)

(−2.260)

(0.290)

(1.595)

(−1.899)

residence: capital

0.124***

−0.169***

0.0455

0.121**

−0.169***

0.0472

 

(2.696)

(−4.487)

(0.999)

(2.539)

(−4.278)

(1.016)

residence: village

−0.0756**

0.0255

0.0500

−0.0866**

0.0241

0.0625

 

(−2.019)

(0.678)

(1.294)

(−2.261)

(0.625)

(1.578)

education: primary

0.0578

−0.121***

0.0632

0.0528

−0.114***

0.0617

 

(1.249)

(−2.963)

(1.399)

(1.097)

(−2.677)

(1.330)

education: tertiary

0.0964*

−0.0234

−0.0730

0.0974*

−0.0223

−0.0751

 

(1.825)

(−0.483)

(−1.499)

(1.781)

(−0.449)

(−1.556)

health status: bad, very bad

0.0738

−0.0366

−0.0372

0.0472

−0.0299

−0.0172

 

(1.362)

(−0.695)

(−0.767)

(0.836)

(−0.543)

(−0.331)

ln(income)

−0.00711

0.0826**

−0.0755**

−0.0306

0.0863***

−0.0556*

 

(−0.229)

(2.561)

(−2.541)

(−0.962)

(2.599)

(−1.874)

number of household members

0.00688

0.0216

−0.0284*

0.0116

0.0240

−0.0356**

 

(0.474)

(1.522)

(−1.955)

(0.773)

(1.636)

(−2.413)

not visited physician

-

-

-

0.0689

−0.0605

−0.00844

 

-

-

-

(1.464)

(−1.436)

(−0.201)

visited physician and paid informally

-

-

-

0.271***

−0.0491

−0.222***

 

-

-

-

(5.340)

(−1.053)

(−5.914)

not hospitalized

-

-

-

−0.00551

0.0881*

−0.0826

 

-

-

-

(−0.103)

(1.721)

(−1.571)

hospitalized and paid informally

-

-

-

0.0818

0.0790

−0.161***

 

-

-

-

(0.998)

(0.922)

(−2.680)

Pr

0,3426

0,3272

0,3303

0,3424

0,3376

0,3200

Regression characteristics

-

 

-

-

-

-

Observations

892

892

892

888

888

888

Pseudo R-squared

0.0395

0.0395

0.0395

0.0704

0.0704

0.0704

Chi2 test

77.34

77.34

77.34

137.3

137.3

137.3

p

0.000

0.000

0.000

0.000

0.000

0.000

  1. Note: z-statistics in parentheses *** p < 0.01, ** p < 0.05, * p < 0.1.