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A Systems View Across Time and Space

Table 2 Female unemployment, registered mobile money agents and procedure to start a business by a female

From: Female unemployment, mobile money innovations and doing business by females

 

Dependent variable: procedure to start a business by a female

Registered mobile money agents per 100,000 adults (Oae1)

Registered mobile money agents per 1000 km2 (Oae2)

OLS

Q.10

Q.25

Q.50

Q.75

Q.90

OLS

Q.10

Q.25

Q.50

Q.75

Q.90

Constant

5.200*

1.757

− 5.123

1.899

2.933

6.832**

5.708**

0.246

− 3.482

3.787

0.225

28.512

(0.064)

(0.471)

(0.261)

(0.726)

(0.535)

(0.044)

(0.042)

(0.924)

(0.388)

(0.823)

(0.993)

(0.529)

FUmpl

− 0.072

− 0.060

− 0.007

− 0.143

− 0.043

− 0.195***

− 0.088

− 0.075*

− 0.025

0.859***

0.765**

0.004

(0.322)

(0.133)

(0.918)

(0.106)

(0.571)

(0.001)

(0.195)

(0.052)

(0.675)

(0.001)

(0.042)

(0.994)

Oae1

− 0.0003

0.001*

0.001

− 0.0005

0.0003

0.00004

–

–

–

–

–

–

(0.736)

(0.098)

(0.419)

(0.768)

(0.808)

(0.967)

      

Oae2

–

–

–

–

–

–

0.00005

0.0008**

0.0003

− 0.001

− 0.00005

− 0.003

      

(0.873)

(0.032)

(0.588)

(0.601)

(0.990)

(0.628)

FUmpl × Oae1

− 0.0001

− 0.0002**

− 0.0001

− 0.00007

− 0.0002

− 0.0002

–

–

–

–

–

–

(0.211)

(0.020)

(0.488)

(0.790)

(0.366)

(0.142)

      

FUmpl × Oae2

–

–

–

–

–

–

− 0.0002

− 0.0005**

− 0.00009

0.0005

− 0.001

− 0.0001

      

(0.161)

(0.012)

(0.782)

(0.713)

(0.542)

(0.976)

SES

− 0.005

0.047***

0.057*

0.007

− 0.001

− 0.023

− 0.005

0.059***

0.049*

− 0.028

0.179

0.185

(0.753)

(0.003)

(0.055)

(0.833)

(0.960)

(0.275)

(0.744)

(0.001)

(0.059)

(0.786)

(0.275)

(0.513)

Trade

0.009

0.012

0.057***

0.032*

0.005

0.010

0.007

0.018**

0.050***

− 0.103*

− 0.086

− 0.132

(0.349)

(0.147)

(0.000)

(0.083)

(0.731)

(0.376)

(0.450)

(0.035)

(0.000)

(0.066)

(0.315)

(0.374)

FSEmp

− 0.002

− 0.001

0.055*

0.015

0.010

− 0.009

− 0.007

0.0110

0.047

− 0.033

− 0.050

− 0.296

(0.877)

(0.939)

(0.091)

(0.693)

(0.758)

(0.682)

(0.716)

(0.557)

(0.111)

(0.787)

(0.791)

(0.367)

CostBusiness

− 0.001

0.018***

0.0005

− 0.008

0.0002

− 0.015*

− 0.001

0.016**

− 0.001

0.069*

0.212***

0.326***

(0.863)

(0.005)

(0.964)

(0.562)

(0.985)

(0.072)

(0.852)

(0.014)

(0.867)

(0.056)

(0.000)

(0.001)

TimeBusiness

0.099***

0.051***

0.065***

0.145***

0.183***

0.304***

0.100***

0.051***

0.067***

2.427***

1.836***

2.126*

(0.000)

(0.000)

(0.009)

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

(0.002)

(0.000)

(0.008)

(0.074)

Bankaccount

0.901

− 1.436***

− 1.412

0.537

1.874**

0.862

0.894

− 1.472***

− 1.346*

− 4.230

− 4.503

− 5.966

(0.131)

(0.004)

(0.121)

(0.619)

(0.049)

(0.200)

(0.134)

(0.004)

(0.091)

(0.193)

(0.370)

(0.491)

Thresholds

na

na

na

na

na

na

na

nsa

na

na

na

na

R2/Pseudo R2

0.515

0.315

0.292

0.250

0.341

0.410

0.370

0.314

0.295

0.418

0.465

0.532

Fisher

3.58***

     

3.96***

     

Observations

104

104

104

104

104

104

104

104

104

104

104

104

  1. *,**,***: significance levels of 10%, 5% and 1% respectively. OLS: Ordinary Least Squares. R2 for OLS and Pseudo R2 for quantile regression. Lower quantiles (e.g., Q 0.1) signify nations where the procedure to start a business by a female is least. FUmpl: Female Unemployment. Oae1: Number of registered mobile money agents per 100,000 adults. Oae2: Number of registered mobile money agents per 1000 km2.SES: Secondary female high school enrollment rate. Trade: trade openness. CostBusiness: The cost it takes for a woman to set up a business. TimeBusiness: The time of women to set up a business. Bankaccount: dummy variable if women can open bank accounts like men and 0, otherwise. na: not applicable because at least one estimated coefficient needed for the computation of the threshold is not significant. nsa; not specifically applicable because both the unconditional and conditional effects have the same signs. Bold values are significant estimated coefficients and the Fisher statistics