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  • Search: subject:"sampling error"
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Year of publication
Subject
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sampling error 21 sampling 14 statistics 13 statistic 10 equation 9 correlation 8 time series 8 standard errors 7 survey 7 Sampling error 6 covariance 6 equations 6 samples 6 surveys 6 econometrics 5 forecasting 5 sample size 5 standard deviation 5 statistical techniques 5 Statistical error 4 Statistischer Fehler 4 correlations 4 financial statistics 4 logarithm 4 statistical data 4 statistical system 4 Bias 3 Consumer price indexes 3 Sampling 3 Sampling Error 3 Stichprobenerhebung 3 actual production history (APH) 3 bootstrap 3 covariances 3 crop insurance 3 empirical framework 3 exchange rate 3 explanatory power 3 foreign exchange 3 mean yields estimation 3
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Online availability
All
Free 36
Type of publication
All
Book / Working Paper 30 Article 4 Other 2
Type of publication (narrower categories)
All
Working Paper 9 Graue Literatur 5 Non-commercial literature 5 Arbeitspapier 4
Language
All
Undetermined 19 English 17
Author
All
Adhikari, Shyam 2 Aichele, Martin 2 Babcock, Bruce A. 2 Belasco, Eric J. 2 Brooks, Mark 2 Bruns, Stephan B. 2 Carriquiry, Miguel A. 2 Carson, Carol S. 2 Crotti, Marco Giovanni 2 Hart, Chad E. 2 Khan, Rumman 2 Knight, Thomas O. 2 Kvamme, Odd Jarle 2 Lippe, Rattiya Suddeephong 2 Rehle, Benedikt 2 Waibel, Hermann 2 Amanor-Boadu, Vincent 1 Babcock, Bruce Alan 1 Barnhill, Theodore M. 1 Berg, Andrew 1 Berg, Nathan 1 Brooks, Robin 1 Burger, J.M.S. 1 Carriquiry, Miguel 1 Casciano, Maria Cristina 1 Delden, Arnout van 1 Dooley, Michael P. 1 Field, Scott A. 1 Galtung Kjæserud, Guri 1 Giorgi, Viviana De 1 Hart, Chad 1 Imbs, Jean 1 Isard, Peter 1 Khawaja, Sarmad 1 Kittelsen, Sverre A. C. 1 Kittelsen, Sverre A.C. 1 Kjæserud, Guri Galtung 1 Kuhnert, Petra M. 1 Laliberté, Lucie 1 Low-Choy, Samantha J. 1
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Institution
All
International Monetary Fund (IMF) 14 International Monetary Fund 3 Agricultural and Applied Economics Association - AAEA 1 Center for Agricultural and Rural Development (CARD), Iowa State University 1 Dipartimento di Economia, Management e Metodi Quantitativi (DEMM), Università degli Studi di Milano 1 Helseøkonomisk Forskningsprogram (HERO), Universitetet i Oslo 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
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Published in...
All
IMF Working Papers 11 IMF Staff Country Reports 3 Journal of Agricultural and Resource Economics 2 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 1 CREDIT Research Paper 1 CREDIT research paper 1 Center for Agricultural and Rural Development (CARD) Publications 1 Discussion paper / Statistics Netherlands 1 EBA Staff Paper Series 1 EBA staff paper series 1 HERO On line Working Paper Series 1 Joint discussion paper series in economics : publ. by the Universities of Aachen, Gießen, Göttingen, Kassel, Marburg, Siegen 1 MAGKS Joint Discussion Paper Series in Economics 1 MPRA Paper 1 Memorandum 1 Rivista di statistica ufficiale 1 TVSEP Working Paper 1 TVSEP working paper 1 UNIMI - Research Papers in Economics, Business, and Statistics 1
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Source
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RePEc 22 ECONIS (ZBW) 5 EconStor 5 BASE 4
Showing 1 - 10 of 36
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A universal stress scenario approach for capitalising non-modellable risk factors under the FRTB
Aichele, Martin; Crotti, Marco Giovanni; Rehle, Benedikt - 2021
EU legislators mandated the European Banking Authority to propose a stress scenario methodology for capitalising non-modellable risk factors (NMRF) as foreseen under the Basel Fundamental Review of the Trading Book (FRTB) rules for market risk. In this paper, we present the foundations of such a...
Persistent link: https://www.econbiz.de/10014564969
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Cover Image
A universal stress scenario approach for capitalising non-modellable risk factors under the FRTB
Aichele, Martin; Crotti, Marco Giovanni; Rehle, Benedikt - 2021
EU legislators mandated the European Banking Authority to propose a stress scenario methodology for capitalising non-modellable risk factors (NMRF) as foreseen under the Basel Fundamental Review of the Trading Book (FRTB) rules for market risk. In this paper, we present the foundations of such a...
Persistent link: https://www.econbiz.de/10012594975
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Cover Image
Comprehensive data quality studies as a component of poverty assessments
Brooks, Mark; Lippe, Rattiya Suddeephong; Waibel, Hermann - 2020
Realistic poverty assessments necessitate high-quality household survey data. Such data provide the foundation for designing sound policies to sustainably reduce poverty. Despite of this, welfare measures from household surveys are often plagued by non-sampling errors in the form of non-response...
Persistent link: https://www.econbiz.de/10012254829
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Cover Image
Comprehensive data quality studies as a component of poverty assessments
Brooks, Mark; Lippe, Rattiya Suddeephong; Waibel, Hermann - 2020
Realistic poverty assessments necessitate high-quality household survey data. Such data provide the foundation for designing sound policies to sustainably reduce poverty. Despite of this, welfare measures from household surveys are often plagued by non-sampling errors in the form of non-response...
Persistent link: https://www.econbiz.de/10012255993
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Cover Image
Evaluating the accuracy of growth rates in the presence of classification errors
Scholtus, Sander; Delden, Arnout van; Burger, J.M.S. - 2019
Persistent link: https://www.econbiz.de/10012174764
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Assessing cohort aggregation to minimise bias in pseudo-panels
Khan, Rumman - 2018
constrained by a lack of consensus on how the pseudo-panels should be formed, particularly to address potential sampling error … both metrics are above certain recommended values, the biases from aggregation and sampling error are minimised, meaning …
Persistent link: https://www.econbiz.de/10012145129
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Cover Image
Assessing cohort aggregation to minimise bias in pseudo-panels
Khan, Rumman - 2018
constrained by a lack of consensus on how the pseudo-panels should be formed, particularly to address potential sampling error … both metrics are above certain recommended values, the biases from aggregation and sampling error are minimised, meaning …
Persistent link: https://www.econbiz.de/10011781802
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Cover Image
The fragility of meta-regression models in observational research
Bruns, Stephan B. - 2016
Many meta-regression analyses that synthesize estimates from primary studies have now been published in economics. Meta-regression models attempt to infer the presence of genuine empirical effects even if the authors of primary studies select statistically significant and theory-confirming...
Persistent link: https://www.econbiz.de/10011439282
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The fragility of meta-regression models in observational research
Bruns, Stephan B. - 2016
Many meta-regression analyses that synthesize estimates from primary studies have now been published in economics. Meta-regression models attempt to infer the presence of genuine empirical effects even if the authors of primary studies select statistically significant and theory-confirming...
Persistent link: https://www.econbiz.de/10011408185
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Why House Price Indexes Differ; Measurement and Analysis
Silver, Mick - International Monetary Fund (IMF) - 2012
A key element in the build-up to the global recession and subsequently was the movement in house price indexes (HPIs). These indexes are particularly prone to methodological and coverage differences which can undermine both within-country and cross-country economic analysis. The paper outlines...
Persistent link: https://www.econbiz.de/10011242366
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