Table A8.

Robustness: CRRA to inconsistent behaviour

CRRA (robustness: no inconsistent behaviour)aCRRA (robustness: first switch)
Dependent variableCoefficientObservationsCoefficientObservations
Lottery incentivised−0.17**N = 1,066−0.18N = 1,435
[0.02](7)[0.43](9)
Lottery with agricultural framing0.000.00*
[0.92][0.06]
Age0.00N = 1,0530.00N = 1,415
[0.29](7)[0.28](9)
Male farmer−0.03N = 1,059−0.08N = 1,345
[0.69](7)[0.37](8)
Higher education−0.02N = 5750.03N = 865
[0.71](5)[0.75](7)
Rented land ratio0.03N = 4350.05N = 501
[0.87](3)[0.10](3)
Workforce0.13N = 1,0660.19N = 1,435
[0.12](7)[0.11](9)
Off-farm work0.03N = 4650.02N = 560
[0.67](3)[0.72](3)
Farm income reliance−0.10N = 461−0.13N = 646
[0.12](3)[0.12](4)
Successor arranged−0.05N = 346−0.01N = 404
[0.17](2)[0.76](2)
Organic−0.05N = 6670.00N = 902
[0.65](5)[0.99](6)
(25,50) hectares0.03N = 925−0.06
[0.32](6)[0.47]N = 1,186
(50,75) hectares−0.03−0.06(7)
[0.71][0.54]
(75,100) hectares−0.05−0.10
[0.56][0.25]
(100,150) hectares−0.20−0.21*
[0.18][0.08]
(150,250) hectares0.01−0.07
[0.94][0.40]
More than 250 hectares−0.03−0.07
[0.74][0.60]
Mixed−0.02N = 466−0.03N = 730
[0.84](3)[0.45](5)
Livestock (e.g. dairy)0.310.29
[0.46][0.24]
Dummy of study
Lottery incentivised
Lottery with agric. framing
CRRA (robustness: no inconsistent behaviour)aCRRA (robustness: first switch)
Dependent variableCoefficientObservationsCoefficientObservations
Lottery incentivised−0.17**N = 1,066−0.18N = 1,435
[0.02](7)[0.43](9)
Lottery with agricultural framing0.000.00*
[0.92][0.06]
Age0.00N = 1,0530.00N = 1,415
[0.29](7)[0.28](9)
Male farmer−0.03N = 1,059−0.08N = 1,345
[0.69](7)[0.37](8)
Higher education−0.02N = 5750.03N = 865
[0.71](5)[0.75](7)
Rented land ratio0.03N = 4350.05N = 501
[0.87](3)[0.10](3)
Workforce0.13N = 1,0660.19N = 1,435
[0.12](7)[0.11](9)
Off-farm work0.03N = 4650.02N = 560
[0.67](3)[0.72](3)
Farm income reliance−0.10N = 461−0.13N = 646
[0.12](3)[0.12](4)
Successor arranged−0.05N = 346−0.01N = 404
[0.17](2)[0.76](2)
Organic−0.05N = 6670.00N = 902
[0.65](5)[0.99](6)
(25,50) hectares0.03N = 925−0.06
[0.32](6)[0.47]N = 1,186
(50,75) hectares−0.03−0.06(7)
[0.71][0.54]
(75,100) hectares−0.05−0.10
[0.56][0.25]
(100,150) hectares−0.20−0.21*
[0.18][0.08]
(150,250) hectares0.01−0.07
[0.94][0.40]
More than 250 hectares−0.03−0.07
[0.74][0.60]
Mixed−0.02N = 466−0.03N = 730
[0.84](3)[0.45](5)
Livestock (e.g. dairy)0.310.29
[0.46][0.24]
Dummy of study
Lottery incentivised
Lottery with agric. framing
a

Estimations exclude surveys that enforce monotonicity because, by design, inconsistent behaviour cannot be identified. Significance *** p<0.01, ** p<0.05, * p<0.10

Table A8.

Robustness: CRRA to inconsistent behaviour

CRRA (robustness: no inconsistent behaviour)aCRRA (robustness: first switch)
Dependent variableCoefficientObservationsCoefficientObservations
Lottery incentivised−0.17**N = 1,066−0.18N = 1,435
[0.02](7)[0.43](9)
Lottery with agricultural framing0.000.00*
[0.92][0.06]
Age0.00N = 1,0530.00N = 1,415
[0.29](7)[0.28](9)
Male farmer−0.03N = 1,059−0.08N = 1,345
[0.69](7)[0.37](8)
Higher education−0.02N = 5750.03N = 865
[0.71](5)[0.75](7)
Rented land ratio0.03N = 4350.05N = 501
[0.87](3)[0.10](3)
Workforce0.13N = 1,0660.19N = 1,435
[0.12](7)[0.11](9)
Off-farm work0.03N = 4650.02N = 560
[0.67](3)[0.72](3)
Farm income reliance−0.10N = 461−0.13N = 646
[0.12](3)[0.12](4)
Successor arranged−0.05N = 346−0.01N = 404
[0.17](2)[0.76](2)
Organic−0.05N = 6670.00N = 902
[0.65](5)[0.99](6)
(25,50) hectares0.03N = 925−0.06
[0.32](6)[0.47]N = 1,186
(50,75) hectares−0.03−0.06(7)
[0.71][0.54]
(75,100) hectares−0.05−0.10
[0.56][0.25]
(100,150) hectares−0.20−0.21*
[0.18][0.08]
(150,250) hectares0.01−0.07
[0.94][0.40]
More than 250 hectares−0.03−0.07
[0.74][0.60]
Mixed−0.02N = 466−0.03N = 730
[0.84](3)[0.45](5)
Livestock (e.g. dairy)0.310.29
[0.46][0.24]
Dummy of study
Lottery incentivised
Lottery with agric. framing
CRRA (robustness: no inconsistent behaviour)aCRRA (robustness: first switch)
Dependent variableCoefficientObservationsCoefficientObservations
Lottery incentivised−0.17**N = 1,066−0.18N = 1,435
[0.02](7)[0.43](9)
Lottery with agricultural framing0.000.00*
[0.92][0.06]
Age0.00N = 1,0530.00N = 1,415
[0.29](7)[0.28](9)
Male farmer−0.03N = 1,059−0.08N = 1,345
[0.69](7)[0.37](8)
Higher education−0.02N = 5750.03N = 865
[0.71](5)[0.75](7)
Rented land ratio0.03N = 4350.05N = 501
[0.87](3)[0.10](3)
Workforce0.13N = 1,0660.19N = 1,435
[0.12](7)[0.11](9)
Off-farm work0.03N = 4650.02N = 560
[0.67](3)[0.72](3)
Farm income reliance−0.10N = 461−0.13N = 646
[0.12](3)[0.12](4)
Successor arranged−0.05N = 346−0.01N = 404
[0.17](2)[0.76](2)
Organic−0.05N = 6670.00N = 902
[0.65](5)[0.99](6)
(25,50) hectares0.03N = 925−0.06
[0.32](6)[0.47]N = 1,186
(50,75) hectares−0.03−0.06(7)
[0.71][0.54]
(75,100) hectares−0.05−0.10
[0.56][0.25]
(100,150) hectares−0.20−0.21*
[0.18][0.08]
(150,250) hectares0.01−0.07
[0.94][0.40]
More than 250 hectares−0.03−0.07
[0.74][0.60]
Mixed−0.02N = 466−0.03N = 730
[0.84](3)[0.45](5)
Livestock (e.g. dairy)0.310.29
[0.46][0.24]
Dummy of study
Lottery incentivised
Lottery with agric. framing
a

Estimations exclude surveys that enforce monotonicity because, by design, inconsistent behaviour cannot be identified. Significance *** p<0.01, ** p<0.05, * p<0.10

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close