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Table 5 Determinants of willingness to pay

From: Willingness to pay for social health insurance among informal sector workers in Wuhan, China: a contingent valuation study

Dependent variables

WTP for baseline BHI (ln)

WTP for BHI without ceiling (ln)

WTP for BHI without deductible (ln)

WTP for BHI without coinsurance (ln)

Model

1.1

1.2

2.1

2.2

3.1

3.2

4.1

4.2

Regression

Interval regression

OLS

Interval regression

OLS

Interval regression

OLS

Interval regression

OLS

AGE

-0.013

-0.014

-0.014

-0.016

-0.014

-0.015

-0.010

-0.012

 

(0.0039)

(0.0043)

(0.0044)

(0.0048)

(0.0037)

(0.0041)

(0.0049)

(0.0052)

 

0.0010

0.0018

0.0013

0.0017

0.0002

0.0003

0.0356

0.0294

MALE

-0.203

-0.221

-0.154

-0.166

-0.198

-0.212

-0.212

-0.226

 

(0.0558)

(0.0635)

(0.0756)

(0.0843)

(0.0643)

(0.0721)

(0.0670)

(0.0745)

 

0.0003

0.0010

0.0416

0.0538

0.0020

0.0046

0.0016

0.0036

EDU2

0.140

0.148

0.156

0.154

0.219

0.227

0.151

0.150

 

(0.0978)

(0.1097)

(0.1260)

(0.1409)

(0.1126)

(0.1260)

(0.1076)

(0.1187)

 

0.1527

0.1825

0.2157

0.2786

0.0522

0.0764

0.1614

0.2099

EDU3

0.084

0.083

0.133

0.122

0.207

0.206

0.165

0.163

 

(0.1182)

(0.1311)

(0.1424)

(0.1579)

(0.1424)

(0.1575)

(0.1264)

(0.1390)

 

0.4761

0.5275

0.3515

0.4443

0.1461

0.1951

0.1913

0.2488

EDU4

0.222

0.230

0.333

0.334

0.347

0.356

0.305

0.302

 

(0.1527)

(0.1682)

(0.1645)

(0.1827)

(0.1561)

(0.1734)

(0.1470)

(0.1622)

 

0.1458

0.1768

0.0429

0.0724

0.0262

0.0447

0.0379

0.0676

INCOME (ln)

0.439

0.468

0.469

0.499

0.458

0.489

0.434

0.461

 

(0.0504)

(0.0542)

(0.0588)

(0.0642)

(0.0574)

(0.0622)

(0.0566)

(0.0613)

 

< 0.0001

< 0.0001

< 0.0001

< 0.0001

< 0.0001

< 0.0001

< 0.0001

< 0.0001

MIGRANT

-0.345

-0.373

-0.214

-0.224

-0.174

-0.187

-0.287

-0.303

 

(0.0888)

(0.1025)

(0.0979)

(0.1108)

(0.0915)

(0.1050)

(0.1033)

(0.1157)

 

0.0001

0.0006

0.0285

0.0475

0.0566

0.0800

0.0054

0.0113

EMPLOY

0.224

0.232

0.258

0.273

0.191

0.198

0.290

0.300

 

(0.0835)

(0.0910)

(0.0930)

(0.1022)

(0.0826)

(0.0905)

(0.0872)

(0.0962)

 

0.0073

0.0133

0.0055

0.0098

0.0209

0.0324

0.0009

0.0028

HEX (ln)

0.076

0.083

0.139

0.148

0.090

0.098

0.087

0.093

 

(0.0198)

(0.0210)

(0.0220)

(0.0234)

(0.0203)

(0.0216)

(0.0236)

(0.0248)

 

0.0001

0.0002

< 0.0001

< 0.0001

< 0.0001

< 0.0001

0.0002

0.0004

Constant

0.008

-0.266

0.204

-0.026

0.265

0.019

0.182

-0.035

 

(0.3315)

(0.3617)

(0.3853)

(0.4270)

(0.3893)

(0.4239)

(0.4001)

(0.4358)

 

0.9815

0.4642

0.5957

0.9508

0.4965

0.9643

0.6495

0.9363

N

609

609

609

609

609

609

609

609

F

 

22.7

 

23.1

 

21.7

 

19.11

Log likelihood

-1308

 

-1486

 

-1433

 

-1475

 

R 2

 

0.247

 

0.259

 

0.242

 

0.213

McKelvey and Zavoina's R 2

0.266

 

0.277

 

0.257

 

0.224

 

p value

< 0.0001

< 0.0001

< 0.0001

< 0.0001

< 0.0001

< 0.0001

< 0.0001

< 0.0001

  1. The numbers in the cells are regression coefficient, heteroscedasticity-robust standard error adjusted for clustering of the data in 60 primary sampling units (in brackets) and p value.
  2. WTP = willingness to pay, BHI = basic health insurance, OLS = ordinary least squares regression, ln = natural logarithm
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BMC Health Services Research

ISSN: 1472-6963

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