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Table 3 Testing stylized facts of total NRA

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

Variables NRA
(1) (2) (3)
GDP per capita 0.35905*** 0.29485*** 0.46387***
(0.01536) (0.01890) (0.01333)
Inflation 0.00025*** 0.00019*** 0.00021***
(0.00001) (0.00001) (0.00001)
Public debt − 0.00208*** − 0.00225*** − 0.00180***
(0.00014) (0.00017) (0.00012)
Public debt squared 0.00001*** 0.00001*** 0.00001***
(0.00000) (0.00000) (0.00000)
Polity2 0.00232*** − 0.00227*** − 0.00055
(0.00044) (0.00057) (0.00037)
% of Rural population 0.01342*** 0.00108 0.00635***
(0.00094) (0.00115) (0.00084)
Land per capita 0.10445*** − 0.01826 0.11279***
(0.01971) (0.02453) (0.01624)
Mobile phone usage 0.00326***   0.00314***
(0.00012)   (0.00015)
Internet connectivity   0.00538*** − 0.01526***
  (0.00028) (0.00045)
Mobile*Internet    0.00019***
   (0.00000)
Coffee − 0.02974*** − 0.02908*** − 0.02908***
(0.00353) (0.00432) (0.00281)
South America − 0.21856*** − 0.60544*** − 0.91917***
(0.06378) (0.08683) (0.05787)
Asia − 0.10058*** − 0.22260*** − 0.25916***
(0.01622) (0.02023) (0.01336)
Constant − 3.20019*** − 1.73459*** − 3.18583***
(0.14681) (0.17570) (0.13077)
Total effect of mob. use    0.0041***
   (0.0001)
Observations 407 347 347
R-squared 0.36657 0.45797 0.49190
Year FE Yes Yes Yes
Country FE Yes Yes Yes
Adjusted R-squared 0.288 0.377 0.412
Long run SE 0.0222 0.0248 0.0162
Bandwidth (neweywest) 556.5 276.6 539.6
  1. Standard errors in parentheses
  2. ***p < 0.01; **p < 0.05; *p < 0.1