Jessica P Kunke
Biographic Data
| ID | 4168554 |
|---|---|
| NAME | Jessica P Kunke |
| GIVEN NAMES | Jessica P |
| FAMILY NAME | Kunke |
| SIGNATURE | KUNKE J P |
| AFFILIATIONS | Statistics and Sociology, University of Washington, Seattle, WA, USA |
| ORCID | 0009-0006-1475-3734 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Estimating and Correcting Degree Ratio Bias in the Network Scale-up Method
The Network Scale-up Method (NSUM) uses social networks and answers to 'How many X's do you know?' questions to estimate sizes of groups excluded by standard surveys. This paper addresses the bias caused by varying average social network sizes across populations, commonly referred to as the degree ratio bias. This bias likely exists for all populations, resulting in either positively or negatively biased population size estimates. We show how the…
Comparing the Robustness of Simple Network Scale-Up Method Estimators
The network scale-up method (NSUM) is a cost-effective approach to estimating the size or prevalence of a group of people that is hard to reach through a standard survey. The basic NSUM involves two steps: estimating respondents’ degrees and estimating the prevalence of the hard-to-reach population of interest using respondents’ estimated degrees and the number of people they report knowing in the hard-to-reach group. Each of these two steps invo…
Comparing the Robustness of Simple Network Scale-Up Method Estimators
The network scale-up method (NSUM) is a cost-effective approach to estimating the size or prevalence of a group of people that is hard to reach through a standard survey. The basic NSUM involves two steps: estimating respondents’ degrees and estimating the prevalence of the hard-to-reach population of interest using respondents’ estimated degrees and the number of people they report knowing in the hard-to-reach group. Each of these two steps invo…
Comparing the Robustness of Simple Network Scale-Up Method Estimators
The network scale-up method (NSUM) is a cost-effective approach to estimating the size or prevalence of a group of people that is hard to reach through a standard survey. The basic NSUM involves two steps: estimating respondents’ degrees and estimating the prevalence of the hard-to-reach population of interest using respondents’ estimated degrees and the number of people they report knowing in the hard-to-reach group. Each of these two steps invo…
Estimating and Correcting Degree Ratio Bias in the Network Scale-up Method
The Network Scale-up Method (NSUM) uses social networks and answers to 'How many X's do you know?' questions to estimate sizes of groups excluded by standard surveys. This paper addresses the bias caused by varying average social network sizes across populations, commonly referred to as the degree ratio bias. This bias likely exists for all populations, resulting in either positively or negatively biased population size estimates. We show how the…
Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Causal Inference Techniques (1 work) · Complex Network Analysis Techniques (1 work) · Degree (music) (1 work) · Demography (1 work) · Demography (1 work) · Economics (1 work)