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Research study · 2016

Eliciting Preferences for Health Insurance in Iran Using Discrete Choice Experiment Analysis

Explore the published experiment and its available replication evidence.

Ali Kazemi Karyani · Karyani2019

Read the paper ↗

01 / Human finding

What the study found

A reviewed summary is not available in this registry. Consult the published paper for the original finding.

Answer-key review: Not reviewed

02 / Experiment design

Who chose, and what varied

Country
Iran
Human respondents
Not recorded
Attributes
8
Task
discrete choice

03 / Synthetic replication

Registry replication results

Current replication

Spearman rank correlation

Not measured

No current measurement is available in this registry.

Paper-era reference

2023 CLM mean Spearman ρ

Not measured

Historical results use their original estimator and reference. They are not a matched comparison with the current run.

Detailed replication evidence · 2026-10-31

Right direction on 10 of 13 effects, partial ranking (ρ = 0.75); sizes not comparable (the paper reports logit coefficients).

Use it to screen which attributes move choice; sizes need the paper's respondent data, and confirm the 3 reversed effects with people.

Inspect the measured run ↗

direction
mixed
rank
mixed
size
not comparable

Supported uses

  • Nothing yet without human confirmation.

Limits to keep in view

  • Ranking close levels against each other; the order diverges from humans.
  • Decisions that hinge on the attributes whose direction flipped (listed below).
  • Effect sizes in the paper's units; only direction, rank and shape are compared.

Effects on a common scale

Human effects: logit coefficient. Synthetic effects are multiplied by the record’s calibration factor, k = 5.4979. Calibration aligns magnitude; it does not establish agreement in unadjusted effect sizes.

● Human   ◆ Calibrated synthetic · Lines show human 95% intervals where available.
-1.1501.15Public hospitals benefits: 90%Public hospitals benefits: 90%Private hospitals benefits: 70%Private hospitals benefits: 70%Private hospitals benefits: 90%Private hospitals benefits: 90%Outpatient benefits: 70%Outpatient benefits: 70%Outpatient benefits: 90%Outpatient benefits: 90%Dental care coverage benefits: 70%Dental care coverage benefits: 70%Rehabilitation and para-clinical benefits: 70%Rehabilitation and para-clinical benefits: …Rehabilitation and para-clinical benefits: 90%Rehabilitation and para-clinical benefits: …Long-term care benefits: 70%Long-term care benefits: 70%Long-term care benefits: 90%Long-term care benefits: 90%Medical devices benefits: 90%Medical devices benefits: 90%Premium: 350 000 RialsPremium: 350 000 RialsPremium: 450 000 RialsPremium: 450 000 Rials
Human and calibrated synthetic effects
Attribute / levelHumanHuman 95% half-widthCalibrated synthetic
Public hospitals benefits: 60% (reference)0.000Not measured0.000
Public hospitals benefits: 90%0.705Not measured0.631
Private hospitals benefits: 50% (reference)0.000Not measured0.000
Private hospitals benefits: 70%0.585Not measured0.610
Private hospitals benefits: 90%1.040Not measured0.718
Outpatient benefits: 50% (reference)0.000Not measured0.000
Outpatient benefits: 70%0.270Not measured0.557
Outpatient benefits: 90%0.561Not measured1.042
Dental care coverage benefits: 40% (reference)0.000Not measured0.000
Dental care coverage benefits: 70%0.451Not measured0.206
Rehabilitation and para-clinical benefits: 50% (reference)0.000Not measured0.000
Rehabilitation and para-clinical benefits: 70%-0.047Not measured0.316
Rehabilitation and para-clinical benefits: 90%0.484Not measured0.388
Long-term care benefits: 50% (reference)0.000Not measured0.000
Long-term care benefits: 70%0.259Not measured0.501
Long-term care benefits: 90%0.356Not measured0.598
Medical devices benefits: 60% (reference)0.000Not measured0.000
Medical devices benefits: 90%0.209Not measured0.269
Premium: 250 000 Rials (reference)0.000Not measured0.000
Premium: 350 000 Rials-0.360Not measured0.123
Premium: 450 000 Rials-0.720Not measured0.089

Subgroups · screen, not a result

Split by gender: 1 of 1 significant differences keep their direction in the simulation (21% to 100%)

screen, not a result. Each row is the female group’s effect minus the male group’s, human in logit, simulated on the simulation’s own scale, so compare direction, not size. A Jev fast-small screen makes no comparison claim.

Sign agreement
1/1, 100%
95% interval
21% to 100%
Shuffle null
48%, p 0.15
Shape ρ
0.35, null p 0.18
Scale ratio
1.05×
Respondents per group
GroupSimulated nPeople nρ vs paper
female90not given0.50
male85not given0.73
Group differences: female minus male
Attribute / levelPeople Δ (95%)SignificantSimulated Δ (own scale)Direction
Public hospitals benefits: 90%-0.21 ±0.14yes-0.03 ±0.08same direction
Private hospitals benefits: 70%+0.09 ±0.21no+0.08 ±0.09not compared
Private hospitals benefits: 90%+0.20 ±0.22no+0.03 ±0.10not compared
Outpatient benefits: 70%-0.08 ±0.20no+0.04 ±0.10not compared
Outpatient benefits: 90%-0.01 ±0.21no+0.05 ±0.09not compared
Dental care coverage benefits: 70%+0.09 ±0.31no+0.03 ±0.09not compared
Rehabilitation and para-clinical benefits: 70%-0.19 ±0.27no+0.03 ±0.10not compared
Rehabilitation and para-clinical benefits: 90%-0.01 ±0.24no-0.03 ±0.10not compared
Long-term care benefits: 70%+0.03 ±0.30no+0.05 ±0.11not compared
Long-term care benefits: 90%-0.03 ±0.30no+0.01 ±0.10not compared
Medical devices benefits: 90%+0.10 ±0.20no+0.05 ±0.08not compared

Interval: Wilson 95% on the significant differences. Shuffle null: groups reassigned at random among the simulated respondents. Scored from screen run acb0f406-3101-436f-a3cc-c951fcf3095f, W&B score ↗.

04 / Evidence and limitations

Follow the evidence

Missing results mean unmeasured, not zero agreement.

  • missing parent paper url
  • missing canonical pdf
  • missing historic score
  • missing resolved wandb run
Measurement provenance

Registry revision: 648f40378e9c. Estimator: ols.