Table 4

Estimation results using farm and year fixed effects – dependent variable: return on assets

(1)(2)(3)(4)(5)
Farmer age below 40−0.045***−0.006−0.0060.003−0.003
(0.008)(0.010)(0.018)(0.015)(0.009)
Farmer age above 650.002−0.011−0.005−0.028*−0.011
(0.011)(0.008)(0.013)(0.017)(0.007)
Farm size (log)−0.237−0.111*0.0580.0280.005
(0.230)(0.065)(0.053)(0.061)(0.111)
Farm sizeˆ2 (log)0.0260.015**−0.000−0.0060.002
(0.023)(0.006)(0.006)(0.009)(0.011)
Rented land0.0090.0300.033**0.0250.049
(0.048)(0.024)(0.016)(0.038)(0.032)
Total direct payments#0.0220.066***0.087***0.0110.001
(0.020)(0.018)(0.021)(0.013)(0.021)
LFA0.0180.0310.011−0.064***0.010
(0.014)(0.021)(0.010)(0.015)(0.034)
Crop input intensity−0.064−0.026−0.022−0.073−0.012
(0.047)(0.023)(0.036)(0.048)(0.0152)
Labour input−0.034**−0.006−0.019*−0.004−0.002**
(0.013)(0.003)(0.010)(0.008)(0.001)
Agricultural diversification−0.0000.048**−0.017−0.115*0.004
(0.017)(0.023)(0.018)(0.067)(0.029)
Farm diversification0.0310.127***0.040−0.3400.054
(0.033)(0.039)(0.027)(0.314)(0.036)
Observations3231,7331,345434978
R-squared0.2070.1570.0870.1930.057
Year FEYESYESYESYESYES

Note(s): Clustered robust standard errors are in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1. #inverse hyperbolic sine transformation (Bellemare and Wichman, 2020)

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