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Up a level- JEL Classification (1550)
- C - Mathematical and Quantitative Methods (437)
- C8 - Data Collection and Data Estimation Methodology; Computer Programs (18)
- C83 - Survey Methods; Sampling Methods (8)
- C8 - Data Collection and Data Estimation Methodology; Computer Programs (18)
- C - Mathematical and Quantitative Methods (437)
Jump to: Paper
Number of items at this level: 8.
Paper
Ahrens, Steffen; Bosch-Rosa, Ciril und Kassner, Bernhard
(17. October 2021):
Overconfidence and the Political Financial Behavior of a Representative Sample.
Collaborative Research Center Transregio 190, Discussion Paper No. 283
[PDF, 943kB]
Grewenig, Elisabeth; Lergetporer, Philipp; Simon, Lisa; Werner, Katharina und Wößmann, Ludger
(17. September 2018):
Can Online Surveys Represent the Entire Population?
Collaborative Research Center Transregio 190, Discussion Paper No. 117
[PDF, 368kB]
Grewenig, Elisabeth; Lergetporer, Philipp; Werner, Katharina und Wößmann, Ludger
(11. March 2019):
Incentives, Search Engines, and the Elicitation of Subjective Beliefs: Evidence From Representative Online Survey Experiments.
Collaborative Research Center Transregio 190, Discussion Paper No. 146
[PDF, 665kB]
Hoppe, Thomas; Schanz, Deborah; Sturm, Susann und Sureth-Sloane, Caren
(2017):
What are the Drivers of Tax Complexity for Multinational Corporations? Evidence from 108 Countries.
WU International Taxation Research Paper Series, 2017
Huynh, Kim P.; Schmidt-Dengler, Philipp und Stix, Helmut
(22. August 2014):
Whenever and Wherever: The Role of Card Acceptance in the Transaction Demand for Money.
SFB/TR 15 Discussion Paper No. 472
[PDF, 273kB]
Plass, Julia; Cattaneo, Marco E. G. V.; Augustin, Thomas; Schollmeyer, Georg und Heumann, Christian
(28. November 2017):
Towards a reliable categorical regression analysis for non-randomly coarsened observations: An analysis with German labour market data.
Department of Statistics: Technical Reports, No.206
[PDF, 866kB]
Seiler, Christian
(2010):
Dynamic modelling of Nonresponse in Business Surveys.
Department of Statistics: Technical Reports, No.93
[PDF, 407kB]
Seiler, Christian und Heumann, Christian
(2012):
Microdata Imputations and Macrodata Implications: Evidence from the Ifo Business Survey.
Department of Statistics: Technical Reports, No.119
[PDF, 921kB]