Second-Stage Sampling for Conflict Areas : Methods and Implications
The collection of survey data from war zones or other unstable security situations is vulnerable to error because conflict often limits the implementation options. Although there are elevated risks throughout the process, this paper focuses specifi...
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| Format: | Working Paper |
| Language: | English en_US |
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World Bank, Washington, DC
2016
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| Online Access: | http://documents.worldbank.org/curated/en/2016/03/26144105/second-stage-sampling-conflict-areas-methods-implications http://hdl.handle.net/10986/24158 |
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okr-10986-241582021-04-23T14:04:19Z Second-Stage Sampling for Conflict Areas : Methods and Implications Himelein, Kristen Eckman, Stephanie Murray, Siobhan Bauer, Johannes ADMINISTRATIVE RECORDS IMPLEMENTATIONS EQUIPMENT SUPERVISION SURVEY DATA CALCULATION ERRORS RESEARCH WORKING PAPERS SEARCH SIMULATIONS DATA COLLECTION INFORMATION MONITORING IMAGE EFFECTS BACK OFFICE IMPLEMENTATION PLANS VARIABLES RANDOM SAMPLING VERIFICATION HUMAN ERROR MEASURES ENUMERATION PROBABILITIES COMPUTER OPEN ACCESS SATELLITE SAMPLE DESIGN TECHNICAL TRAINING CONFIDENCE INTERVALS STANDARD DEVIATION TECHNIQUES SPACE SCENARIOS METHODOLOGIES DOCUMENT PROBABILITY ADMINISTRATIVE RECORDS CLUSTERING CASES TECHNICAL TRAINING MISSING VALUES WEB SURVEY METHODOLOGY RESEARCH STANDARDS MODELING CLASSIFICATION TESTING METHODS TECHNOLOGY PILOT TESTING INTERVIEWS STANDARD DEVIATION SOFTWARE RESULTS DESCRIPTION AGE ALGORITHMS BACK-OFFICE SURVEY METHODOLOGY CONFIDENCE INTERVALS SMART PHONES PROTOCOLS RESEARCHERS BEST PRACTICE SAMPLES MEASUREMENT DATA COLLECTION SIZE SAMPLE SIZE COUNTING NAVIGATION SURVEYS IMAGES CASE SAMPLE SIZE RESULT SAMPLING DESIGNS WEIGHT CELL PHONES WWW THEORY ROUTING ESTIMATING OBJECT SECURITY SIMULATION BUSINESS NETWORK PHONES STATISTICS RISK RANDOM WALK SAMPLING PERFORMANCE PROBABILITY SAMPLES SURVEY DATA PROTOCOL MISSING VALUES PRECISION STANDARD ESTIMATES PREDICTION METHODOLOGY SAMPLE DESIGN WEIGHTING TARGET RANDOM WALK RANDOM SAMPLING The collection of survey data from war zones or other unstable security situations is vulnerable to error because conflict often limits the implementation options. Although there are elevated risks throughout the process, this paper focuses specifically on challenges to frame construction and sample selection. The paper uses simulations based on data from the Mogadishu High Frequency Survey Pilot to examine the implications of the choice of second-stage selection methodology on bias and variance. Among the other findings, the simulations show the bias introduced by a random walk design leads to the underestimation of the poverty headcount by more than 10 percent. The paper also discusses the experience of the authors in the time required and technical complexity of the associated back-office preparation work and weight calculations for each method. Finally, as the simulations assume perfect implementation of the design, the paper also discusses practicality, including the ease of implementation and options for remote verification, and outlines areas for future research and pilot testing. 2016-04-26T17:05:28Z 2016-04-26T17:05:28Z 2016-03 Working Paper http://documents.worldbank.org/curated/en/2016/03/26144105/second-stage-sampling-conflict-areas-methods-implications http://hdl.handle.net/10986/24158 English en_US Policy Research Working Paper;No. 7617 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
ADMINISTRATIVE RECORDS IMPLEMENTATIONS EQUIPMENT SUPERVISION SURVEY DATA CALCULATION ERRORS RESEARCH WORKING PAPERS SEARCH SIMULATIONS DATA COLLECTION INFORMATION MONITORING IMAGE EFFECTS BACK OFFICE IMPLEMENTATION PLANS VARIABLES RANDOM SAMPLING VERIFICATION HUMAN ERROR MEASURES ENUMERATION PROBABILITIES COMPUTER OPEN ACCESS SATELLITE SAMPLE DESIGN TECHNICAL TRAINING CONFIDENCE INTERVALS STANDARD DEVIATION TECHNIQUES SPACE SCENARIOS METHODOLOGIES DOCUMENT PROBABILITY ADMINISTRATIVE RECORDS CLUSTERING CASES TECHNICAL TRAINING MISSING VALUES WEB SURVEY METHODOLOGY RESEARCH STANDARDS MODELING CLASSIFICATION TESTING METHODS TECHNOLOGY PILOT TESTING INTERVIEWS STANDARD DEVIATION SOFTWARE RESULTS DESCRIPTION AGE ALGORITHMS BACK-OFFICE SURVEY METHODOLOGY CONFIDENCE INTERVALS SMART PHONES PROTOCOLS RESEARCHERS BEST PRACTICE SAMPLES MEASUREMENT DATA COLLECTION SIZE SAMPLE SIZE COUNTING NAVIGATION SURVEYS IMAGES CASE SAMPLE SIZE RESULT SAMPLING DESIGNS WEIGHT CELL PHONES WWW THEORY ROUTING ESTIMATING OBJECT SECURITY SIMULATION BUSINESS NETWORK PHONES STATISTICS RISK RANDOM WALK SAMPLING PERFORMANCE PROBABILITY SAMPLES SURVEY DATA PROTOCOL MISSING VALUES PRECISION STANDARD ESTIMATES PREDICTION METHODOLOGY SAMPLE DESIGN WEIGHTING TARGET RANDOM WALK RANDOM SAMPLING |
| spellingShingle |
ADMINISTRATIVE RECORDS IMPLEMENTATIONS EQUIPMENT SUPERVISION SURVEY DATA CALCULATION ERRORS RESEARCH WORKING PAPERS SEARCH SIMULATIONS DATA COLLECTION INFORMATION MONITORING IMAGE EFFECTS BACK OFFICE IMPLEMENTATION PLANS VARIABLES RANDOM SAMPLING VERIFICATION HUMAN ERROR MEASURES ENUMERATION PROBABILITIES COMPUTER OPEN ACCESS SATELLITE SAMPLE DESIGN TECHNICAL TRAINING CONFIDENCE INTERVALS STANDARD DEVIATION TECHNIQUES SPACE SCENARIOS METHODOLOGIES DOCUMENT PROBABILITY ADMINISTRATIVE RECORDS CLUSTERING CASES TECHNICAL TRAINING MISSING VALUES WEB SURVEY METHODOLOGY RESEARCH STANDARDS MODELING CLASSIFICATION TESTING METHODS TECHNOLOGY PILOT TESTING INTERVIEWS STANDARD DEVIATION SOFTWARE RESULTS DESCRIPTION AGE ALGORITHMS BACK-OFFICE SURVEY METHODOLOGY CONFIDENCE INTERVALS SMART PHONES PROTOCOLS RESEARCHERS BEST PRACTICE SAMPLES MEASUREMENT DATA COLLECTION SIZE SAMPLE SIZE COUNTING NAVIGATION SURVEYS IMAGES CASE SAMPLE SIZE RESULT SAMPLING DESIGNS WEIGHT CELL PHONES WWW THEORY ROUTING ESTIMATING OBJECT SECURITY SIMULATION BUSINESS NETWORK PHONES STATISTICS RISK RANDOM WALK SAMPLING PERFORMANCE PROBABILITY SAMPLES SURVEY DATA PROTOCOL MISSING VALUES PRECISION STANDARD ESTIMATES PREDICTION METHODOLOGY SAMPLE DESIGN WEIGHTING TARGET RANDOM WALK RANDOM SAMPLING Himelein, Kristen Eckman, Stephanie Murray, Siobhan Bauer, Johannes Second-Stage Sampling for Conflict Areas : Methods and Implications |
| relation |
Policy Research Working Paper;No. 7617 |
| description |
The collection of survey data from war
zones or other unstable security situations is vulnerable to
error because conflict often limits the implementation
options. Although there are elevated risks throughout the
process, this paper focuses specifically on challenges to
frame construction and sample selection. The paper uses
simulations based on data from the Mogadishu High Frequency
Survey Pilot to examine the implications of the choice of
second-stage selection methodology on bias and variance.
Among the other findings, the simulations show the bias
introduced by a random walk design leads to the
underestimation of the poverty headcount by more than 10
percent. The paper also discusses the experience of the
authors in the time required and technical complexity of the
associated back-office preparation work and weight
calculations for each method. Finally, as the simulations
assume perfect implementation of the design, the paper also
discusses practicality, including the ease of implementation
and options for remote verification, and outlines areas for
future research and pilot testing. |
| format |
Working Paper |
| author |
Himelein, Kristen Eckman, Stephanie Murray, Siobhan Bauer, Johannes |
| author_facet |
Himelein, Kristen Eckman, Stephanie Murray, Siobhan Bauer, Johannes |
| author_sort |
Himelein, Kristen |
| title |
Second-Stage Sampling for Conflict Areas : Methods and Implications |
| title_short |
Second-Stage Sampling for Conflict Areas : Methods and Implications |
| title_full |
Second-Stage Sampling for Conflict Areas : Methods and Implications |
| title_fullStr |
Second-Stage Sampling for Conflict Areas : Methods and Implications |
| title_full_unstemmed |
Second-Stage Sampling for Conflict Areas : Methods and Implications |
| title_sort |
second-stage sampling for conflict areas : methods and implications |
| publisher |
World Bank, Washington, DC |
| publishDate |
2016 |
| url |
http://documents.worldbank.org/curated/en/2016/03/26144105/second-stage-sampling-conflict-areas-methods-implications http://hdl.handle.net/10986/24158 |
| _version_ |
1764455802297384960 |