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Table 7 Probability that a patient with fibromyalgia is working and probability of being unemployed (marginal effects after probit)

From: Social costs associated with fibromyalgia in Spain

 

Prob (working)

Prob(unemployed)

M1

M2

M3

M1

M2

M3

Dependent’s characteristics

 Man

-0.115**

-0.118**

-0.105**

0.153

0.246

0.267

(0.054)

(0.053)

(0.073)

(0.202)

(0.209)

(0.219)

 Age

-0.007***

-0.008**

-0.006**

0.002

0.001

0.001

(0.003)

(0.003)

(0.003)

(0.006)

(0.006)

(0.006)

Dependency degree

 Moderate dependent

-0.052

-0.056

-0.056

-0.037

-0.048

-0.003

(0.052)

(0.051)

(0.051)

(0.118)

(0.119)

(0.121)

 Severe dependent

-0.184**

-0.187***

-0.182***

0.658***

0.632***

0.716***

(0.112)

(0.082)

(0.082)

(0.302)

(0.304)

(0.307)

 Highly dependent

-0.214**

-0.219***

-0.212***

   

(0.102)

(0.101)

(0.101)

   

Level of education

 Elementary

 

-0.077

-0.075

 

0.267

0.261

 

(0.074)

(0.074)

 

(0.210)

(0.214)

 High school

 

0.011

0.013

 

0.161

0.145

 

(0.062)

(0.062)

 

(0.167)

(0.168)

 College

 

0.173**

0.165**

 

-0.012

0.005

 

(0.072)

(0.072)

 

(0.179)

(0.182)

Size of municipality

 50,000–100,000 inhabitants

  

0.077

  

-0.031

  

(0.065)

  

(0.125)

 20,000–50,000 inhabitants

  

0.086

  

-0.261**

  

(0.059)

  

(0.129)

 10,000–20,000 inhabitants

  

0.000

  

-0.082

  

(0.063)

  

(0.151)

 Less than 10,000 inhabitants

  

-0.032

  

0.018

  

(0.055)

  

(0.137)

 Constant

0.685***

0.566***

0.534***

0.222

0.162

0.215

(0.143)

(0.157)

(0.160)

(0.306)

(0.356)

(0.382)

 N

394

394

394

122

122

122

 R2

0.350

0.386

0.397

0.239

0.276

0.313

 F

24.079

24.537

23.412

21.173

21.345

21.280

 P

0.001

0.000

0.000

0.001

0.000

0.000

  1. Omitted variables: dependent characteristics (not eligible; has not completed elementary education), provincial capitals and municipalities with more than 100,000 inhabitants. M3 models include regional unemployment rate. Estimates obtained using sampling weights. The probability of being employed is calculated over the entire working age population. The probability of being unemployed is calculated over the active population
  2. *Statistically significant (p<0.1)
  3. **Statistically significant (p<0.05)
  4. ***Statistically significant (p<0.01)