Table V

OLS panel regression results with lagged farm-sector control variables, 2008–2017

(1)(2)(3)(4)
SpecificationAgricultural Loan VolumeΔ(Ag Loan)Ag Loan/Total LoanΔ(Ag Loan/Total Loan)
Panel A: US agricultural banks
Post Regulation0.0373*** (0.0054)−0.0156** (0.0079)0.0133*** (0.0015)−0.0123** (0.0051)
Land Valuet–1−0.125*** (0.046)0.0439 (0.059)0.0561*** (0.013)0.00459 (0.042)
Farm Incomet–1−0.000610*** (0.0001)−0.000937*** (0.0001)−0.0000525** (0.0000)−0.000212*** (0.0001)
Control variablesYesYesYesYes
Bank-fixed effectsYesYesYesYes
R20.6180.0490.2190.024
No. of observation9,7609,7609,7609,760
Panel B: All US banks
Post Regulation0.0585*** (0.0076)0.00476 (0.012)0.00653*** (0.0005)0.00299 (0.011)
Land Valuet–10.0143 (0.063)0.117 (0.078)0.0247*** (0.0045)0.141** (0.071)
Farm Incomet–1−0.000600*** (0.0001)−0.00108*** (0.0002)−0.0000135* (0.0000)−0.000433*** (0.0001)
Control variablesYesYesYesYes
Bank-fixed effectsYesYesYesYes
R20.1540.0120.0820.005
No. of observation36,52736,52736,52736,527

Notes: This table reports results from panel regressions examining agricultural lending on a bank level, with lagged farm sector variables, from December 31, 2008–December 31, 2017. Panels A and B report regression results for US agricultural banks and all US banks, respectively. Following the FDIC definition, any commercial bank with agricultural production loans plus real estate loans secured by farmland exceeding 25 percent of total loans and leases is categorized as an agricultural bank. All regressions include previously discussed control variables and bank-fixed effects. Standard errors are clustered on bank level. *,**,***Significant at 10, 5 and 1 percent levels, respectively

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