Table 4 Predictors of begging motivation.

From: Unraveling the effects of a rehabilitation program on the socioeconomic wellbeing of beggars and begging motivation: evidence from an urban area of Bangladesh

Variables

(1)a

(2)b

Begging motivation = 1, 0 = Other occupations

Begging motivation = 1, 0 = Other occupations

Beneficiary of govt. rehabilitation program (1 = Yes, 0 = otherwise)

−0.0287

−0.135

(0.0740)

(0.324)

Other occupation besides begging (1 = Yes, 0 = otherwise)

0.0782

0.360

(0.124)

(0.541)

Age

0.00367**

0.0166**

(0.00178)

(0.00784)

Gender (1 = Male, 0 = otherwise)

−0.116*

−0.538*

(0.0653)

(0.287)

Schooling years

0.000510

0.00155

(0.0132)

(0.0587)

Religion

0.0925

0.484

(0.207)

(0.918)

Marital status (unmarried)

−0.188

−1.110

(0.157)

(0.859)

Marital status (divorced)

−0.118

−0.548

(0.209)

(0.934)

Marital status (widow/widower)

0.0700

0.280

(0.0653)

(0.282)

Marital status (deserted)

−0.148

−0.793

(0.106)

(0.528)

Number of children

−0.0200

−0.0950

(0.0174)

(0.0790)

Household size

0.0297

0.136*

(0.0183)

(0.0818)

Number of earning members

0.0298

0.134

(0.0431)

(0.189)

Financial support from other family members

−0.00903

−0.0270

(0.0618)

(0.266)

Family member begging (1 = yes, 0 = otherwise)

0.0885

0.391

(0.0968)

(0.417)

Migrated (1 = yes, 0 = otherwise)

−0.00882

−0.0368

(0.0577)

(0.254)

Street beggars (ref. doorstep)

0.0979

0.477

(0.0983)

(0.461)

Both street and doorstep beggars (ref. doorstep)

0.0742

0.358

(0.103)

(0.481)

Begging experience (years)

0.00177

0.00781

(0.00278)

(0.0119)

Ln (per capita HH expenditure)

0.0193

0.0937

(0.0458)

(0.207)

Ln (debt)

0.00669

0.0310

(0.00581)

(0.0255)

Special allowance during COVID-19 (1 = Yes, 0 = otherwise)

0.0469

0.202

(0.0771)

(0.351)

Forces to begging during COVID-19 (1 = Yes, -= otherwise)

−0.0114

−0.0551

(0.0626)

(0.276)

Number of asset loss

−0.161**

−0.761**

(0.0777)

(0.360)

PWI score

−0.00118

−0.00589

(0.00154)

(0.00688)

Constant

−0.0712

−2.589

 

(0.381)

(1.728)

Observations

385

385

R-squared

0.091

 

Standard errors in parentheses; ***p < 0.01, **p < 0.05, *p < 0.1

  1. aModel (1) represents the ordinary least square estimation
  2. bModel (2) represents the binary logistic regression
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