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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