diff --git a/input/reg_RMSE.xlsx b/input/reg_RMSE.xlsx
index 199fdb6b8..b929e9701 100644
Binary files a/input/reg_RMSE.xlsx and b/input/reg_RMSE.xlsx differ
diff --git a/src/main/java/simpaths/data/ManagerRegressions.java b/src/main/java/simpaths/data/ManagerRegressions.java
index 0e792a28b..d2d57d14e 100644
--- a/src/main/java/simpaths/data/ManagerRegressions.java
+++ b/src/main/java/simpaths/data/ManagerRegressions.java
@@ -317,9 +317,6 @@ public static double getRmse(RegressionName regression) {
             case WagesFemalesNE -> {
                 code = "Wages_FemalesNE";
             }
-            case ChildcareC1b -> {
-                code = "C1b";
-            }
             default -> {
                 throw new InvalidParameterException("RMSE requested for unrecognised regression equation");
             }
diff --git a/src/main/java/simpaths/model/BenefitUnit.java b/src/main/java/simpaths/model/BenefitUnit.java
index 2f704f6f4..60aa23d0f 100644
--- a/src/main/java/simpaths/model/BenefitUnit.java
+++ b/src/main/java/simpaths/model/BenefitUnit.java
@@ -4669,9 +4669,7 @@ private void updateChildcareCostPerWeek(int year, int age) {
             if (statInnovations.getDoubleDraw(0) < prob) {
 
                 double score = Parameters.getRegChildcareC1b().getScore(this, Regressors.class);
-                double rmse = Parameters.getRMSEForRegression("C1b");
-                double gauss = Parameters.getStandardNormalDistribution().inverseCumulativeProbability(statInnovations.getDoubleDraw(1));
-                xChildCareWeek = Math.exp(score + rmse * gauss);
+                xChildCareWeek = Math.exp(score);
                 double costCap = childCareCostCapWeekly();
                 if (costCap > 0.0 && costCap < getChildcareCostPerWeek()) {
                     xChildCareWeek = costCap;
diff --git a/src/main/java/simpaths/model/decisions/Expectations.java b/src/main/java/simpaths/model/decisions/Expectations.java
index be82fee19..e0c3429ec 100644
--- a/src/main/java/simpaths/model/decisions/Expectations.java
+++ b/src/main/java/simpaths/model/decisions/Expectations.java
@@ -468,8 +468,7 @@ private double evalChildcareCostWeekly() {
 
             double probFormalChildCare = Parameters.getRegChildcareC1a().getProbability(benefitUnitProxyThisPeriod, BenefitUnit.Regressors.class);
             double logChildcareCostScore = Parameters.getRegChildcareC1b().getScore(benefitUnitProxyThisPeriod, BenefitUnit.Regressors.class);
-            double logChildcareRSME = ManagerRegressions.getRmse(RegressionName.ChildcareC1b);
-            childcareCostWeekly = Math.exp(logChildcareCostScore + logChildcareRSME*logChildcareRSME/2.0) * probFormalChildCare;
+            childcareCostWeekly = Math.exp(logChildcareCostScore) * probFormalChildCare;
         }
         return childcareCostWeekly;
     }