diff --git a/Project.toml b/Project.toml
index 3ccde18d..945e2029 100644
--- a/Project.toml
+++ b/Project.toml
@@ -25,6 +25,7 @@ JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
 Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
 LoggingExtras = "e6f89c97-d47a-5376-807f-9c37f3926c36"
 MarkdownTables = "1862ce21-31c7-451e-824c-f20fa3f90fa2"
+Measures = "442fdcdd-2543-5da2-b0f3-8c86c306513e"
 Observables = "510215fc-4207-5dde-b226-833fc4488ee2"
 Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
 PovertyAndInequalityMeasures = "582645c0-90fa-497a-98b9-936b80116c29"
diff --git a/src/ConsumptionData.jl b/src/ConsumptionData.jl
index 32c7463f..12753825 100644
--- a/src/ConsumptionData.jl
+++ b/src/ConsumptionData.jl
@@ -169,7 +169,7 @@ const DEFAULT_STANDARD_RATE = default_standard_rate()
 Match in the lcf data using the lookup table constructed in 'matching/lcf_frs_matching.jl'
 'which' best, 2nd best etc match (<=20)
 """
-function find_consumption_for_hh!( hh :: Household, case :: Int, dataset :: Int )
+function find_consumption_for_hh!( hh :: Household, case :: Int, datayear :: Int )
     # println( "find_consumption_for_hh! matching to case $case datayear $datayear")
     hh.expenditure = EXPENDITURE_DATASET[(EXPENDITURE_DATASET.case .== case).&(EXPENDITURE_DATASET.datayear.==datayear),:][1,:]
     hh.factor_costs = FACTOR_COST_DATASET[(FACTOR_COST_DATASET.case .== case).&(FACTOR_COST_DATASET.datayear.==datayear),:][1,:]
diff --git a/src/MatchingLibs.jl b/src/MatchingLibs.jl
index 61be28f8..f859a340 100644
--- a/src/MatchingLibs.jl
+++ b/src/MatchingLibs.jl
@@ -11,6 +11,7 @@ module MatchingLibs
 #
 using ScottishTaxBenefitModel
 using .Definitions,
+      .ModelHousehold,
       .Uprating,
       .RunSettings
 
@@ -967,7 +968,7 @@ function frs_tenuremap( tentyp2 :: Union{Int,Missing} ) :: Vector{Int}
     return out
 end
 
-function model_tenuremap(  t :: TenureType ) :: Vector{Int}
+function model_tenuremap(  t :: Tenure_Type ) :: Vector{Int}
     return frs_tenuremap( Int( t ) )
 end
 
diff --git a/src/Utils.jl b/src/Utils.jl
index 479df7bf..8b3e360a 100644
--- a/src/Utils.jl
+++ b/src/Utils.jl
@@ -94,8 +94,8 @@ Make a new dataframe with the difference between the fields between
 start_col and end_col and other fields just copied 
 diff is difference df2 - df1, Frames should have identical other cols.
 """
-function df_diff( df1, df2 :: DataFrame, start_col::Int, end_col :: Int  ) :: DataFrame
-   argch@eck size( df1 ) == size( df2 )
+function df_diff( df1 :: DataFrame, df2 :: DataFrame, start_col :: Int, end_col :: Int ) :: DataFrame
+   @argcheck size( df1 ) == size( df2 )
    ## maybe check that the non diffed fields are all the same too.. 
    d = copy(df1)
    d[:,start_col:end_col] = df2[:,start_col:end_col] .- df1[:,start_col:end_col]
diff --git a/test/matching_tests.jl b/test/matching_tests.jl
index 0a27be6a..63401e3c 100644
--- a/test/matching_tests.jl
+++ b/test/matching_tests.jl
@@ -4,6 +4,7 @@ using .Utils:coarse_match
 
 using DataFrames, CSV
 using .ExampleHelpers
+using .MatchingLibs
 
 #
 # Donor and Recipient each have 2 fields `a` and `b` filled with random