Loss Aversion in Farmland Price Expectations

Todd H. Kuethe, Brady Brewer and Chad Fiechter

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Figures

Tables

  • Table 1 Summary Statistics, 1979–2019
     ObservedProjected
    MeanStd.Dev.MeanStd.Dev.RMSEMAE
    Indiana
    Top2.4216.3200.4712.0896.4534.907
    Average2.8936.1460.2552.2516.0254.790
    Poor3.7396.2130.0712.4326.7495.500
    Transitional1.7429.2982.4242.7899.3237.164
    North
    Top2.5046.7070.2122.3546.2474.831
    Average2.8866.563–0.0682.6136.5695.216
    Poor3.8887.481–0.0253.0957.9596.215
    Northeast
    Top2.6027.9120.0882.1757.7455.893
    Average3.6647.1360.0542.2347.6745.896
    Poor4.6377.945–0.4412.7169.0696.777
    West Central
    Top2.3867.1750.4622.2526.8615.315
    Average2.8777.2050.4182.5186.9175.417
    Poor3.8747.4760.232.5477.9426.238
    Central
    Top2.0876.5780.1732.7116.4615.048
    Average2.3246.510.2612.6596.2115.005
    Poor3.2546.5110.1882.8636.8425.553
    Southwest
    Top2.8158.2450.4291.6818.1415.826
    Average3.2548.4090.4612.1948.6126.289
    Poor4.169.1060.0452.3799.7357.535
    Southeast
    Top3.0297.6630.5641.8797.5395.858
    Average3.3347.4030.6791.8917.4355.977
    Poor3.7897.8180.6682.2558.1346.597
  • Table 2 Bias Test Results, 1979–2019
     MZ TestHP Test
     Equation [1]RestrictionsEquation [1]
     Embedded ImageEmbedded ImageEmbedded Image = 0Embedded Image = 1Embedded Image = (0,1)Embedded Image
    Indiana
    Top2.123
    (1.499)
    0.633
    (0.647)
    2.0060.3221.1491.950
    (1.633)
    Average2.572
    (1.070)
    1.260
    (0.391)
    5.777*0.4423.577*2.638
    (1.371)
    Poor3.668
    (1.064)
    0.981
    (0.346)
    11.897**0.0035.952**3.667**
    (1.211)
    Transitional0.867
    (2.328)
    0.361
    (0.604)
    0.1391.1210.792–0.683
    (1.530)
    North
    Top2.200
    (1.118)
    1.436
    (0.320)
    3.8701.8512.7462.292
    (1.432)
    Average2.959
    (1.135)
    1.070
    (0.372)
    6.791*0.0363.525*2.954*
    (1.377)
    Poor3.909
    (1.200)
    0.851
    (0.338)
    10.608**0.1935.485**3.913**
    (1.179)
    Northeast
    Top2.487
    (1.204)
    1.302
    (0.486)
    4.265*0.3872.6642.514*
    (1.236)
    Average3.616
    (1.145)
    0.893
    (0.485)
    9.966**0.0495.132*3.610**
    (1.105)
    Poor5.014
    (1.131)
    0.855
    (0.361)
    19.659**0.16010.284**5.078**
    (1.084)
    West Central
    Top1.835
    (1.223)
    1.193
    (0.467)
    2.2530.1711.4061.924
    (1.919)
    Average2.369
    (1.011)
    1.215
    (0.496)
    5.486*0.1892.9712.459
    (1.791)
    Poor3.674
    (1.283)
    0.875
    (0.533)
    8.202**0.0554.136*3.645*
    (1.652)
    Central
    Top1.950
    (1.240)
    0.789
    (0.365)
    2.4740.3351.244*1.914
    (1.567)
    Average2.060
    (1.047)
    1.010
    (0.412)
    3.8740.0011.9612.063
    (1.394)
    Poor3.114
    (1.029)
    0.746
    (0.401)
    9.161**0.3994.727*3.066*
    (1.112)
    Southwest
    Top2.153
    (1.422)
    1.542
    (0.713)
    2.2940.5773.561*2.386
    (1.251)
    Average2.894
    (1.535)
    0.780
    (0.566)
    3.5560.1512.2132.793
    (1.435)
    Poor4.126
    (1.481)
    0.777
    (0.514)
    7.763**0.1893.882*4.116**
    (1.488)
    Southeast
    Top2.213
    (1.290)
    1.447
    (0.658)
    2.9420.4623.369*2.466*
    (1.125)
    Average2.485
    (1.236)
    1.251
    (0.633)
    4.0450.1572.9502.655*
    (1.095)
    Poor3.238
    (1.237)
    0.825
    (0.577)
    6.858*0.0923.487*3.121*
    (1.207)
    • Note: Standard errors in parentheses are heteroskedasticity and autocorrelation consistent.

    • **,* Significance at the 1% and 5% levels, respectively.

  • Table 3 Efficiency Test Results, 1979–2019
     Embedded ImageEmbedded Image Embedded ImageEmbedded Image
    IndianaCentral
    Top0.926
    (0.902)
    0.565**(0.111)Top1.014
    (0.947)
    0.508**
    (0.156)**
    Average1.377
    (0.892)
    0.520**
    (0.147)
    Average1.239
    (0.949)
    0.421
    (0.129)
    Poor2.547*
    (1.083)
    0.341*
    (0.138)
    Poor2.563*
    (1.160)
    0.184
    (0.141)
    Transitional–0.413
    (1.622)
    0.069
    (0.172)
    NorthSouthwest
    Top1.227
    (0.975)
    0.481**
    (0.154)
    Top2.316
    (1.605)
    0.081
    (0.171)
    Average1.709
    (1.154)
    0.421**
    (0.145)
    Average2.513
    (1.586)
    0.166
    (0.157)
    Poor3.402*
    (1.652)
    0.128
    (0.181)
    Poor3.299
    (1.690)
    0.214
    (0.136)
    NortheastSoutheast
    Top2.237
    (1.260)
    0.125
    (0.185)
    Top2.435*
    (1.203)
    0.017
    (0.124)
    Average3.483*
    (1.314)
    0.085
    (0.204)
    Average2.758*
    (1.214)
    0.016
    (0.168)
    Poor6.076**
    (1.754)
    –0.183
    (0.176)
    Poor3.057*
    (1.190)
    0.047
    (0.168)
    West Central
    Top0.740
    (0.808)
    0.597**
    (0.154)
    Average0.997
    (0.815)
    0.595**
    (0.149)
    Poor2.148*
    (0.963)
    0.418**
    (0.145)
    • Note: Standard errors in parentheses are heteroskedasticity and autocorrelation consistent.

    • **,* Significance at the 1% and 5% levels, respectively.

  • Table 4 Asymmetry Parameter Estimates
    Instrument SetQuadratic Loss
    (p = 2)
    Linear Loss
    (p = 1)
    (1)(2)(3)(4)(5)(6)
    Indiana
    Top0.150**
    (0.072)
    0.155**
    (0.074)
    0.151**
    (0.072)
    0.237**
    (0.067)
    0.251**
    (0.069)
    0.235**
    (0.067)
    Average0.117**
    (0.059)
    0.126**
    (0.060)
    0.117**
    (0.059)
    0.202**
    (0.063)
    0.228**
    (0.066)
    0.188**
    (0.062)
    Poor0.110**
    (0.054)
    0.112**
    (0.052)
    0.110**
    (0.052)
    0.167**
    (0.059)
    0.180**
    (0.061)
    0.165**
    (0.059)
    Transitional0.539
    (0.104)
    0.534
    (0.104)
    0.584
    (0.103)
    0.550
    (0.079)
    0.551
    (0.079)
    0.551
    (0.079)
    North
    Top0.143**
    (0.004)
    0.142**
    (0.004)
    0.140**
    (0.004)
    0.210**
    (0.004)
    0.206**
    (0.004)
    0.206**
    (0.004)
    Average0.098**
    (0.046)
    0.107**
    (0.047)
    0.096**
    (0.045)
    0.225*
    (0.066)
    0.229*
    (0.066)
    0.225*
    (0.066)
    Poor0.125**
    (0.047)
    0.115**
    (0.041)
    0.112**
    (0.040)
    0.338
    (0.075)
    0.331
    (0.074)
    0.330
    (0.074)
    Northeast
    Top0.297
    (0.091)
    0.297
    (0.090)
    0.290
    (0.089)
    0.322
    (0.074)
    0.331
    (0.074)
    0.314**
    (0.073)
    Average0.191**
    (0.069)
    0.191**
    (0.069)
    0.191**
    (0.069)
    0.224**
    (0.066)
    0.237**
    (0.067)
    0.221
    (0.066)
    Poor0.120**
    (0.045)
    0.121**
    (0.045)
    0.109**
    (0.042)
    0.239**
    (0.067)
    0.234**
    (0.067)
    0.233**
    (0.067)
    West Central
    Top0.213**
    (0.083)
    0.201**
    (0.081)
    0.198**
    (0.080)
    0.260**
    (0.069)
    0.245**
    (0.068)
    0.239**
    (0.067)
    Average0.152**
    (0.069)
    0.158**
    (0.070)
    0.151**
    (0.069)
    0.263**
    (0.070)
    0.250**
    (0.068)
    0.248**
    (0.068)
    Poor0.186**
    (0.080)
    0.193**
    (0.080)
    0.182**
    (0.080)
    0.166**
    (0.059)
    0.177**
    (0.060)
    0.163**
    (0.058)
    Top0.183**
    (0.068)
    0.219**
    (0.077)
    0.179**
    (0.067)
    0.411
    (0.078)
    0.418
    (0.078)
    0.408
    (0.078)
    Average0.180**
    (0.072)
    0.204**
    (0.075)
    0.181**
    (0.072)
    0.296**
    (0.072)
    0.316**
    (0.074)
    0.291**
    (0.072)
    Poor0.188**
    (0.072)
    0.180**
    (0.067)
    0.188**
    (0.066)
    0.235**
    (0.067)
    0.256**
    (0.069)
    0.222**
    (0.066)
    Southwest
    Top0.239**
    (0.079)
    0.222**
    (0.075)
    0.205**
    (0.072)
    0.348
    (0.075)
    0.346
    (0.075)
    0.335
    (0.075)
    Average0.174**
    (0.064)
    0.162**
    (0.062)
    0.163**
    (0.062)
    0.346
    (0.075)
    0.342
    (0.075)
    0.335
    (0.075)
    Poor0.169**
    (0.068)
    0.176**
    (0.070)
    0.164**
    (0.067)
    0.255**
    (0.069)
    0.259**
    (0.069)
    0.254**
    (0.069)
    Southeast
    Top0.294
    (0.085)
    0.291**
    (0.085)
    0.301
    (0.085)
    0.345
    (0.075)
    0.349
    (0.075)
    0.318**
    (0.074)
    Average0.270**
    (0.080)
    0.268**
    (0.080)
    0.231**
    (0.075)
    0.375
    (0.077)
    0.375
    (0.077)
    0.365
    (0.076)
    Poor0.261**
    (0.078)
    0.265**
    (0.078)
    0.253**
    (0.076)
    0.288**
    (0.072)
    0.300**
    (0.072)
    0.285**
    (0.071)
    • Note: Standard errors in parentheses are heteroskedasticity and autocorrelation consistent.

    • **,* Restriction rejected at the 1% and 5% levels, respectively.

  • Table 5 Rationality Test
    Instrument SetQuadratic Loss
    (p = 2)
    Linear Loss
    (p = 1)
    (1)(2)(3)(4)(5)(6)
    Indiana
    TopEmbedded Image = 0.527.356**25.791**27.359**19.983**17.182**20.523
    γ = Embedded Image3.8763.8603.8844.7623.9534.904
    AverageEmbedded Image = 0.545.900**41.592**45.881**26.897**20.192**31.096
    γ = Embedded Image3.6573.2833.6984.8923.4365.579
    PoorEmbedded Image = 0.554.962**57.061**58.194**35.490**30.641**36.058**
    γ = Embedded Image2.5132.0882.5153.4992.8243.569
    TransitionalEmbedded Image = 0.50.2880.1083.8450.5710.6820.775
    γ = Embedded Image0.1460.0013.1800.1600.2670.356
    North
    TopEmbedded Image = 0.537.314**34.827**38.672**22.985**24.173**24.209**
    γ = Embedded Image3.9444.4304.4252.7483.0023.009
    AverageEmbedded Image = 0.579.392**72.915**86.023**20.925**20.005**21.076**
    γ = Embedded Image3.9763.5933.9833.6223.3873.659
    PoorEmbedded Image = 0.565.602**90.684**96.214**6.2197.4477.545
    γ = Embedded Image2.1442.1882.3601.5112.2722.331
    Northeast
    TopEmbedded Image = 0.55.3505.2976.0558.980**7.46810.284
    γ = Embedded Image0.3250.2340.5373.1622.2853.865
    AverageEmbedded Image = 0.520.096**20.103**20.101**21.154**18.296**22.026**
    γ = Embedded Image0.1290.1220.1293.6782.9203.887
    PoorEmbedded Image = 0.571.482**71.148**85.760**15.819**16.947**17.123**
    γ = Embedded Image0.1070.0020.9270.8411.1891.242
    West Central
    TopEmbedded Image = 0.516.401**18.343**18.820**15.258**18.348**19.582**
    γ = Embedded Image4.4494.6764.7203.3164.3064.654
    AverageEmbedded Image = 0.529.629**27.618**29.743**14.709**17.322**17.710**
    γ = Embedded Image3.9953.8614.0083.1213.9964.116
    PoorEmbedded Image = 0.518.107**16.513**19.118**35.640**31.757**36.823**
    γ = Embedded Image2.6131.8693.1293.5172.9923.661
    Central
    TopEmbedded Image = 0.526.330**17.685**28.224**4.4452.9345.177
    γ = Embedded Image4.9454.2764.9823.1371.8153.763
    AverageEmbedded Image = 0.524.282**19.261**24.339**13.359**9.951**14.098**
    γ = Embedded Image4.5553.6884.6515.3273.6905.639
    PoorEmbedded Image = 0.520.584**24.305**24.099**18.546**14.054**21.779**
    γ = Embedded Image1.8241.4091.8232.9911.5553.829
    Southwest
    TopEmbedded Image = 0.512.144**15.225**18.985**4.3264.7626.641
    γ = Embedded Image1.2101.6612.4640.2560.5531.778
    AverageEmbedded Image = 0.527.951**31.852**32.040**4.6225.4236.712
    γ = Embedded Image2.1882.5882.9130.4590.9951.821
    PoorEmbedded Image = 0.525.395**23.149**27.029**14.172**13.465**14.388**
    γ = Embedded Image1.8271.6271.9981.5971.3401.674
    Southeast
    TopEmbedded Image = 0.55.9146.0856.5744.9494.1309.645
    γ = Embedded Image0.0280.0121.0420.6800.1213.527
    AverageEmbedded Image = 0.58.2858.476**15.213**2.6822.7344.584
    γ = Embedded Image0.1140.0092.1950.0120.0521.450
    PoorEmbedded Image = 0.59.895**9.248**11.275**12.275**10.063**12.707**
    γ = Embedded Image0.4890.1840.7663.4982.4733.684
    • **,* Significance at the 1% and 5% levels, respectively.