Hi,
I used this decomposition to investigate the underlying drivers of heterogeneity in forest–agriculture income per hectare and to identify the variables contributing most to inequality across farms. I used this version but my advisors said the results are so agressive, specially for the value of 100€. I re run but do not understand where's the problem. I also attached my results.
xi: ineqrbd for_ge_ag_a_co2_ns_diff_2_5 i.region i.soil_code_i i.farm_system_tso_rpt uaa_size stock_rate [aw=wt] if thin == 1, stats
xi: ineqrbd for_ge_ag_a_co2_ns_diff_2_5 i.region i.soil_code_i i.farm_system_tso_rpt uaa_size stock_rate [aw=wt] if thin == 1, fields
I used this decomposition to investigate the underlying drivers of heterogeneity in forest–agriculture income per hectare and to identify the variables contributing most to inequality across farms. I used this version but my advisors said the results are so agressive, specially for the value of 100€. I re run but do not understand where's the problem. I also attached my results.
xi: ineqrbd for_ge_ag_a_co2_ns_diff_2_5 i.region i.soil_code_i i.farm_system_tso_rpt uaa_size stock_rate [aw=wt] if thin == 1, stats
xi: ineqrbd for_ge_ag_a_co2_ns_diff_2_5 i.region i.soil_code_i i.farm_system_tso_rpt uaa_size stock_rate [aw=wt] if thin == 1, fields
| Group | €32/tCO₂e | €100/tCO₂e | €163/tCO₂e | €265/tCO₂e | €408/tCO₂e (2030) | Income Difference (Farm vs Forestry) |
| Region | -0.1057 | -0.1971 | -0.2762 | -0.3711 | -0.2016 | -0.4096 |
| Soil Codes | 0.8243 | 0.3841 | 3.9662 | 16.3693 | 1.2557 | 2.1806 |
| System | 69.2933 | 70.1109 | 68.0713 | 60.0101 | 69.686 | 61.1069 |
| Farm Size | 0.23 | 0.24 | 0.23 | 0.2 | 0.23 | -0.435 |
| Stocking Rate | 29.75 | 29.47 | 28.01 | 23.79 | 29.03 | 37.5571 |
| Total | 100 | 100 | 100 | 100 | 100 | 100 |
