Using 352 observations on 44 rice farmers in the Tarlac region of the Phillipines for 8...

  

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Using 352 observations on 44 rice farmers in the Tarlac region of the Phillipines for 8 years from 2010 to 2017, we estimated the relationship between tonnes of freshly threshed rice produced (PROD), hectares planted (AREA), person-days Model (1) OLS (2) OLS (3) FE (4) FE cons In(AREA) In(LABOR) In(FERT) SSE -1.5468 0.3617 0.4328 (0.2557) (se) -1.5549 (0.0640) 0.3759 0.4221 (se) -0.3352 (0.2524) 0.5841 (0.0618) 0.2586 0.2095 (0.0669) 0.2075 (0.0663) 0.0952 40.5654 (0.0383) 36.2031 10 k 3 (0.0380) 27.6623 46 (se) -0.3122 (0.3263) 0.6243 (robust) (0.5748) Table 1: Estimates of Rice Production Function: (0.0802) (0.0703) 0.2412 0.0890 (0.0971) (0.0968) (0.0881) (0.0432) 23.0824 53 of hired and family labor (LABOR), and kilograms of fertilizer (FERT). The log-log specification of the model, including the unobserved heterogeneity term, is In(PROD) =B + Bln(AREAit) + Baln(LABOR) + Baln(FERT) +u; + Cit Using 352 observations on 44 rice farmers in the Tarlac region of the Phillipines for 8 years from 2010 to 2017, we estimated the relationship between tonnes of freshly threshed rice produced (PROD), hectares planted (AREA), person-days Model (1) OLS (2) OLS (3) FE (4) FE cons In(AREA) In(LABOR) In(FERT) SSE -1.5468 0.3617 0.4328 (0.2557) (se) -1.5549 (0.0640) 0.3759 0.4221 (se) -0.3352 (0.2524) 0.5841 (0.0618) 0.2586 0.2095 (0.0669) 0.2075 (0.0663) 0.0952 40.5654 (0.0383) 36.2031 10 k 3 (0.0380) 27.6623 46 (se) -0.3122 (0.3263) 0.6243 (robust) (0.5748) Table 1: Estimates of Rice Production Function: (0.0802) (0.0703) 0.2412 0.0890 (0.0971) (0.0968) (0.0881) (0.0432) 23.0824 53 of hired and family labor (LABOR), and kilograms of fertilizer (FERT). The log-log specification of the model, including the unobserved heterogeneity term, is In(PROD) =B + Bln(AREAit) + Baln(LABOR) + Baln(FERT) +u; + Cit