diff --git a/Project.toml b/Project.toml
index 94c5c8b4..690504dd 100644
--- a/Project.toml
+++ b/Project.toml
@@ -22,4 +22,4 @@ Mimi = "0.9.4"
 Distributions = "0.20, 0.21"
 
 [targets]
-test = ["Test", "DataFrames", "CSVFiles"]
+test = ["Test", "DataFrames", "CSVFiles", "Query"]
diff --git a/test/SC validation data/deterministic_sc_values.csv b/test/SC validation data/deterministic_sc_values.csv
new file mode 100644
index 00000000..0bacd8b4
--- /dev/null
+++ b/test/SC validation data/deterministic_sc_values.csv	
@@ -0,0 +1,769 @@
+"gas","year","eta","prtp","equity_weights","equity_weights_normalization_region","last_year","pulse_size","SC"
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+SF6,2020,1.45,0.03,false,0,3000,1.0e7,66.65790891782595
+SF6,2020,1.45,0.03,false,1,2300,1.0,66.64707249813779
+SF6,2020,1.45,0.03,false,1,2300,1.0e7,66.64425943789176
+SF6,2020,1.45,0.03,false,1,3000,1.0,66.66071591612766
+SF6,2020,1.45,0.03,false,1,3000,1.0e7,66.65790891782595
+SF6,2020,1.45,0.03,false,10,2300,1.0,66.64707249813779
+SF6,2020,1.45,0.03,false,10,2300,1.0e7,66.64425943789176
+SF6,2020,1.45,0.03,false,10,3000,1.0,66.66071591612766
+SF6,2020,1.45,0.03,false,10,3000,1.0e7,66.65790891782595
+SF6,2055,0.0,0.015,true,0,2300,1.0,2835.2694535054716
+SF6,2055,0.0,0.015,true,0,2300,1.0e7,2834.7975035718373
+SF6,2055,0.0,0.015,true,0,3000,1.0,3144.050613275262
+SF6,2055,0.0,0.015,true,0,3000,1.0e7,3143.589927352348
+SF6,2055,0.0,0.015,true,1,2300,1.0,2835.2694535054716
+SF6,2055,0.0,0.015,true,1,2300,1.0e7,2834.7975035718373
+SF6,2055,0.0,0.015,true,1,3000,1.0,3144.050613275262
+SF6,2055,0.0,0.015,true,1,3000,1.0e7,3143.589927352348
+SF6,2055,0.0,0.015,true,10,2300,1.0,2835.2694535054716
+SF6,2055,0.0,0.015,true,10,2300,1.0e7,2834.7975035718373
+SF6,2055,0.0,0.015,true,10,3000,1.0,3144.050613275262
+SF6,2055,0.0,0.015,true,10,3000,1.0e7,3143.589927352348
+SF6,2055,0.0,0.015,false,0,2300,1.0,2835.2694535054707
+SF6,2055,0.0,0.015,false,0,2300,1.0e7,2834.7975035718364
+SF6,2055,0.0,0.015,false,0,3000,1.0,3144.0506132752607
+SF6,2055,0.0,0.015,false,0,3000,1.0e7,3143.5899273523464
+SF6,2055,0.0,0.015,false,1,2300,1.0,2835.2694535054707
+SF6,2055,0.0,0.015,false,1,2300,1.0e7,2834.7975035718364
+SF6,2055,0.0,0.015,false,1,3000,1.0,3144.0506132752607
+SF6,2055,0.0,0.015,false,1,3000,1.0e7,3143.5899273523464
+SF6,2055,0.0,0.015,false,10,2300,1.0,2835.2694535054707
+SF6,2055,0.0,0.015,false,10,2300,1.0e7,2834.7975035718364
+SF6,2055,0.0,0.015,false,10,3000,1.0,3144.0506132752607
+SF6,2055,0.0,0.015,false,10,3000,1.0e7,3143.5899273523464
+SF6,2055,0.0,0.03,true,0,2300,1.0,727.9216665868832
+SF6,2055,0.0,0.03,true,0,2300,1.0e7,727.7733478531602
+SF6,2055,0.0,0.03,true,0,3000,1.0,731.8612900198456
+SF6,2055,0.0,0.03,true,0,3000,1.0e7,731.7131893979737
+SF6,2055,0.0,0.03,true,1,2300,1.0,727.9216665868832
+SF6,2055,0.0,0.03,true,1,2300,1.0e7,727.7733478531602
+SF6,2055,0.0,0.03,true,1,3000,1.0,731.8612900198456
+SF6,2055,0.0,0.03,true,1,3000,1.0e7,731.7131893979737
+SF6,2055,0.0,0.03,true,10,2300,1.0,727.9216665868832
+SF6,2055,0.0,0.03,true,10,2300,1.0e7,727.7733478531602
+SF6,2055,0.0,0.03,true,10,3000,1.0,731.8612900198456
+SF6,2055,0.0,0.03,true,10,3000,1.0e7,731.7131893979737
+SF6,2055,0.0,0.03,false,0,2300,1.0,727.9216665868831
+SF6,2055,0.0,0.03,false,0,2300,1.0e7,727.7733478531602
+SF6,2055,0.0,0.03,false,0,3000,1.0,731.8612900198456
+SF6,2055,0.0,0.03,false,0,3000,1.0e7,731.7131893979737
+SF6,2055,0.0,0.03,false,1,2300,1.0,727.9216665868831
+SF6,2055,0.0,0.03,false,1,2300,1.0e7,727.7733478531602
+SF6,2055,0.0,0.03,false,1,3000,1.0,731.8612900198456
+SF6,2055,0.0,0.03,false,1,3000,1.0e7,731.7131893979737
+SF6,2055,0.0,0.03,false,10,2300,1.0,727.9216665868831
+SF6,2055,0.0,0.03,false,10,2300,1.0e7,727.7733478531602
+SF6,2055,0.0,0.03,false,10,3000,1.0,731.8612900198456
+SF6,2055,0.0,0.03,false,10,3000,1.0e7,731.7131893979737
+SF6,2055,1.45,0.015,true,0,2300,1.0,1013.6504751740747
+SF6,2055,1.45,0.015,true,0,2300,1.0e7,1013.4544936505962
+SF6,2055,1.45,0.015,true,0,3000,1.0,1024.7875393060262
+SF6,2055,1.45,0.015,true,0,3000,1.0e7,1024.5918657556817
+SF6,2055,1.45,0.015,true,1,2300,1.0,14767.55711266529
+SF6,2055,1.45,0.015,true,1,2300,1.0e7,14764.701919073537
+SF6,2055,1.45,0.015,true,1,3000,1.0,14929.809520831695
+SF6,2055,1.45,0.015,true,1,3000,1.0e7,14926.95881400432
+SF6,2055,1.45,0.015,true,10,2300,1.0,1397.8196095353528
+SF6,2055,1.45,0.015,true,10,2300,1.0e7,1397.5493518643566
+SF6,2055,1.45,0.015,true,10,3000,1.0,1413.177572677058
+SF6,2055,1.45,0.015,true,10,3000,1.0e7,1412.9077396996777
+SF6,2055,1.45,0.015,false,0,2300,1.0,435.6968432281421
+SF6,2055,1.45,0.015,false,0,2300,1.0e7,435.6061910042096
+SF6,2055,1.45,0.015,false,0,3000,1.0,441.620798476642
+SF6,2055,1.45,0.015,false,0,3000,1.0e7,441.5304365359936
+SF6,2055,1.45,0.015,false,1,2300,1.0,435.6968432281421
+SF6,2055,1.45,0.015,false,1,2300,1.0e7,435.6061910042096
+SF6,2055,1.45,0.015,false,1,3000,1.0,441.620798476642
+SF6,2055,1.45,0.015,false,1,3000,1.0e7,441.5304365359936
+SF6,2055,1.45,0.015,false,10,2300,1.0,435.6968432281421
+SF6,2055,1.45,0.015,false,10,2300,1.0e7,435.6061910042096
+SF6,2055,1.45,0.015,false,10,3000,1.0,441.620798476642
+SF6,2055,1.45,0.015,false,10,3000,1.0e7,441.5304365359936
+SF6,2055,1.45,0.03,true,0,2300,1.0,426.4655203175369
+SF6,2055,1.45,0.03,true,0,2300,1.0e7,426.3851625821165
+SF6,2055,1.45,0.03,true,0,3000,1.0,426.64428866611183
+SF6,2055,1.45,0.03,true,0,3000,1.0e7,426.5639385401738
+SF6,2055,1.45,0.03,true,1,2300,1.0,6213.042939471037
+SF6,2055,1.45,0.03,true,1,2300,1.0e7,6211.872232727115
+SF6,2055,1.45,0.03,true,1,3000,1.0,6215.647359694945
+SF6,2055,1.45,0.03,true,1,3000,1.0e7,6214.476763811197
+SF6,2055,1.45,0.03,true,10,2300,1.0,588.0941031356774
+SF6,2055,1.45,0.03,true,10,2300,1.0e7,587.9832901670067
+SF6,2055,1.45,0.03,true,10,3000,1.0,588.3406239131272
+SF6,2055,1.45,0.03,true,10,3000,1.0e7,588.2298214378998
+SF6,2055,1.45,0.03,false,0,2300,1.0,178.40705678487393
+SF6,2055,1.45,0.03,false,0,2300,1.0e7,178.37123187913878
+SF6,2055,1.45,0.03,false,0,3000,1.0,178.5065830064154
+SF6,2055,1.45,0.03,false,0,3000,1.0e7,178.47076471120545
+SF6,2055,1.45,0.03,false,1,2300,1.0,178.40705678487393
+SF6,2055,1.45,0.03,false,1,2300,1.0e7,178.37123187913878
+SF6,2055,1.45,0.03,false,1,3000,1.0,178.5065830064154
+SF6,2055,1.45,0.03,false,1,3000,1.0e7,178.47076471120545
+SF6,2055,1.45,0.03,false,10,2300,1.0,178.40705678487393
+SF6,2055,1.45,0.03,false,10,2300,1.0e7,178.37123187913878
+SF6,2055,1.45,0.03,false,10,3000,1.0,178.5065830064154
+SF6,2055,1.45,0.03,false,10,3000,1.0e7,178.47076471120545
diff --git a/test/SC validation data/mcs_sc_values.csv b/test/SC validation data/mcs_sc_values.csv
new file mode 100644
index 00000000..ef2d4f58
--- /dev/null
+++ b/test/SC validation data/mcs_sc_values.csv	
@@ -0,0 +1,26 @@
+"SCCO2"
+-4.727072235862176
+-4.3090329580009215
+3.6145724816463534
+3.388158675360172
+6.197087711075783
+1.1421757414758535
+0.700337555203371
+8.522013290881711
+4.1491971913508925
+-1.5932606841951669
+-0.158209888129621
+0.22206880100316617
+0.2728548753220188
+13.837093241758502
+-6.208088524086534
+-0.04602452151196609
+1.850405538712209
+-0.03557264124460824
+3.578836749342496
+1.7589233539488456
+3.813403313254857
+1.8608778705710274
+6.304001487425381
+7.03327618525018
+3.689291110512766
diff --git a/test/runtests.jl b/test/runtests.jl
index 9cc07b60..1b162c5b 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -157,6 +157,12 @@ MimiFUND.run_fund_scc_mcs(10)    # Run 10 trials of FUND MCS SCC calculations
 
 end #test-mcs testset
 
+#------------------------------------------------------------------------------
+# 5. Validation tests for the exact values of social cost calculatiosn
+#------------------------------------------------------------------------------
+
+include("scc_validation.jl")
+
 end #fund testset
 
 nothing
diff --git a/test/scc_validation.jl b/test/scc_validation.jl
new file mode 100644
index 00000000..8d4fceb2
--- /dev/null
+++ b/test/scc_validation.jl
@@ -0,0 +1,52 @@
+using MimiFUND
+using DataFrames
+using Query
+using CSVFiles
+using Test
+
+datadir = joinpath(@__DIR__, "SC validation data")
+
+# Test deterministic SC for all types of configurations
+
+specs = Dict([
+    :gas => [:CO2, :CH4, :N2O, :SF6],
+    :year => [2020, 2055],
+    :eta => [0, 1.45],
+    :prtp => [0.015, 0.03],
+    :equity_weights => [true, false],
+    :equity_weights_normalization_region => [0, 1, 10],
+    :last_year => [2300, 3000],
+    :pulse_size => [1, 1e7]
+])
+
+results = DataFrame(gas = [], year = [], eta = [], prtp = [], equity_weights = [], equity_weights_normalization_region = [], last_year = [], pulse_size = [], SC = [])
+
+for gas in specs[:gas]
+    for year in specs[:year]
+        for eta in specs[:eta]
+            for prtp in specs[:prtp]
+                for equity_weights in specs[:equity_weights]
+                    for equity_weights_normalization_region in specs[:equity_weights_normalization_region]
+                        for last_year in specs[:last_year]
+                            for pulse_size in specs[:pulse_size]
+                                sc = MimiFUND.compute_sc(gas=gas, year=year, eta=eta, prtp=prtp, equity_weights=equity_weights, equity_weights_normalization_region=equity_weights_normalization_region, last_year=last_year, pulse_size=pulse_size)
+                                push!(results, (gas, year, eta, prtp, equity_weights, equity_weights_normalization_region, last_year, pulse_size, sc))
+                            end
+                        end
+                    end
+                end
+            end
+        end
+    end
+end
+
+validation_results = load(joinpath(datadir, "deterministic_sc_values.csv")) |> DataFrame
+@test all(isapprox.(results[!, :SC], validation_results[!, :SC], atol = 1e-11))
+
+
+# Test Monte Carlo results with the same seed
+
+sc_mcs = MimiFUND.compute_sc(gas = :CO2, year = 2020, eta = 1.45, prtp = 0.015, n = 25, seed = 350)
+validation_mcs = load(joinpath(datadir, "mcs_sc_values.csv")) |> DataFrame
+
+@test sc_mcs == validation_mcs[!, :SCCO2]
\ No newline at end of file