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  • Search: subject:"unit nonresponse bias"
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Year of publication
Subject
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Bias 2 Statistical method 2 Statistische Methode 2 Systematischer Fehler 2 auxiliary information 2 calibration 2 design-based estimation 2 unit nonresponse bias 2 weighting adjustment 2 Agrarstatistik 1 Agricultural statistics 1 Befragung 1 Estimation theory 1 Interview 1 Sampling 1 Schätztheorie 1 Stichprobenerhebung 1 kmr 1 sample surveys 1 selective unit nonresponse bias 1 survey reweighting 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Arbeitspapier 1 Article 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 3
Author
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Hoop, Daniel 2 Sauer, Johannes 2 Stanca, Lucian 2 Morelli, Salvatore 1 Muñoz S., Ercio 1
Published in...
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German Journal of Agricultural Economics (GJAE) 1 German journal of agricultural economics : GJAE 1 Working paper 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Using Auxiliary Information to Improve Agricultural Statistics - Advantages of the Calibration Approach over Poststratification Weights
Stanca, Lucian; Hoop, Daniel; Sauer, Johannes - In: German Journal of Agricultural Economics (GJAE) 71 (2022) 4, pp. 204-212
Official statistics are often based on samples representing a certain population. Because participation in a sample is usually voluntary, bias might result from so-called non-sampling errors such as nonresponse. Weighting procedures are intended to correct these errors by assigning a certain...
Persistent link: https://www.econbiz.de/10015079542
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kmr : a command to correct survey weights for unit nonresponse using groups' response rates
Muñoz S., Ercio; Morelli, Salvatore - 2020
Persistent link: https://www.econbiz.de/10012503283
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Cover Image
Using auxiliary information to improve agricultural statistics : advantages of the calibration approach over poststratification weights
Stanca, Lucian; Hoop, Daniel; Sauer, Johannes - In: German journal of agricultural economics : GJAE 71 (2022) 4, pp. 204-212
Persistent link: https://www.econbiz.de/10014420459
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