Statement of Significance

1 Introduction  
1.1 Differential Privacy  
1.2 Synthetic Data  
1.3 Survey Data  
1.4 Pseudo Posterior Mechanism  

2 Methods for Differentially Private Tabular Survey Data  
2.1 Fully Bayes Model for Observed Sample (FBS)  
2.2 Fully Bayes Model for Population (FBP)  
2.3 Comparison and Discussion of Two Synthesis Approaches  
2.4 Laplace Mechanism under Local DP  

3 Application to the Survey of Doctorate Recipients  
3.1 A Note on Informative Sampling Designs  
3.2 Model Fit Performances  
3.3 Utility Evaluation  

4 Simulation Studies  
4.1 Simulation Design  
4.2 Model Fit Performances  

5 Concluding Remarks