Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. An electronic version of the paper may be downloaded from the Ifo website www.cesifo-group.de. Ifo Working Paper No.126 On the Robustness of the Balance Statistics with respect to Nonresponse Abstract Business cycle indicators based on the balance statistics are a widely used method to monitor the actual economic situation. In contrast to official data, indicators from business surveys are early available and typically not revised after their first publication. But as surveys can be in general affected by distortions through the response behaviour, these indicators can also be biased. In addition, time-dependent nonresponse patterns can produce even more complex forms of biased results. This paper examines a framework which kind of nonresponse patterns lead to biases and decreases in performance. Terms of use: Documents in EconStor may Ifo Institute -Leibniz Institute for Economic Research at the University of MunichWe perform an extensive Monte Carlo study to analyse their effects on the indicators. Our analyses show that these indicators are extremely stable towards selection biases.JEL Code: C81, C83.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. An electronic version of the paper may be downloaded from the Ifo website www.cesifo-group.de. Ifo Working Paper No.126 On the Robustness of the Balance Statistics with respect to Nonresponse Abstract Business cycle indicators based on the balance statistics are a widely used method to monitor the actual economic situation. In contrast to official data, indicators from business surveys are early available and typically not revised after their first publication. But as surveys can be in general affected by distortions through the response behaviour, these indicators can also be biased. In addition, time-dependent nonresponse patterns can produce even more complex forms of biased results. This paper examines a framework which kind of nonresponse patterns lead to biases and decreases in performance. Terms of use: Documents in EconStor may Ifo Institute -Leibniz Institute for Economic Research at the University of MunichWe perform an extensive Monte Carlo study to analyse their effects on the indicators. Our analyses show that these indicators are extremely stable towards selection biases.JEL Code: C81, C83.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.