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Table 2 Determinants of absolute nominal rate of assistance

From: Does mobile phone technology reduce agricultural price distortions? Evidence from cocoa and coffee industries

Variables

|NRA|

(1)

(2)

(3)

GDP per capita

− 0.14814***

− 0.13091***

− 0.23558***

(0.01356)

(0.01616)

(0.01156)

Inflation

0.00009***

0.00016***

0.00015***

(0.00001)

(0.00001)

(0.00001)

Public debt

0.00088***

0.00116***

0.00098***

(0.00012)

(0.00015)

(0.00010)

Public debt squared

− 0.00001***

− 0.00001***

− 0.00000***

(0.00000)

(0.00000)

(0.00000)

Polity2

− 0.00142***

0.00063

− 0.00051

(0.00039)

(0.00049)

(0.00032)

% of Rural population

− 0.01344***

−0.00354***

− 0.00469***

(0.00083)

(0.00099)

(0.00073)

Land per capita

− 0.10229***

− 0.03101

− 0.12443***

(0.01741)

(0.02097)

(0.01408)

Mobile phone usage

− 0.00199***

 

− 0.00139***

(0.00011)

 

(0.00013)

Internet connectivity

 

− 0.00464***

0.01203***

 

(0.00024)

(0.00039)

Mobile*Internet

  

− 0.00017***

  

(0.00000)

Coffee

0.05179***

0.04412***

0.04412***

(0.00312)

(0.00369)

(0.00244)

South America

− 0.31434***

0.17051**

0.51257***

(0.05632)

(0.07423)

(0.05018)

Asia

− 0.03850***

0.07763***

0.12566***

(0.01432)

(0.01729)

(0.01159)

Constant

2.08151***

1.07620***

1.77840***

(0.12964)

(0.15022)

(0.11340)

Total effect of mobile

  

− 0.00223***

  

(0.00013)

Observations

407

347

347

R-squared

0.36531

0.45428

0.47408

Year FE

Yes

Yes

Yes

Country FE

Yes

Yes

Yes

Adjusted R-squared

0.286

0.373

0.391

Long run SE

0.0196

0.0212

0.0140

Bandwidth (neweywest)

556.1

276.7

540

  1. Standard errors in parentheses
  2. ***p < 0.01; **p < 0.05; *p < 0.1