On the robustness of balance statistics with respect to nonresponse

Seiler, Christian

doi:10.1787/jbcma-2014-5jrxqbwcjdr3

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…Several studies have given an account of factors that affect participation or data quality in business surveys (e.g., Davis and Pihama 2009;Giesen and Burger 2013;Janik and Kohaut 2009;Porter 2004;Seiler 2010). Theoretically, these accounts are largely based on one or a combination of the frameworks provided by Groves et al (1992), Tomaskovic-Devey et al (1994, and Willimack et al (2002).…”

Section: Introductionmentioning

confidence: 99%

In Search of Motivation for the Business Survey Response Task

Grinsven

Bolko

Bavdaž

2014

Journal of Official Statistics

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Increasing reluctance of businesses to participate in surveys often leads to declining or low response rates, poor data quality and burden complaints, and suggests that a driving force, that is, the motivation for participation and accurate and timely response, is insufficient or lacking. Inspiration for ways to remedy this situation has already been sought in the psychological theory of self-determination; previous research has favored enhancement of intrinsic motivation compared to extrinsic motivation. Traditionally however, enhancing extrinsic motivation has been pervasive in business surveys. We therefore review this theory in the context of business surveys using empirical data from the Netherlands and Slovenia, and suggest that extrinsic motivation calls for at least as much attention as intrinsic motivation, that other sources of motivation may be relevant besides those stemming from the three fundamental psychological needs (competence, autonomy and relatedness), and that other approaches may have the potential to better explain some aspects of motivation in business surveys (e.g., implicit motives). We conclude with suggestions that survey organizations can consider when attempting to improve business survey response behavior.

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Section: Introductionmentioning

confidence: 99%

In Search of Motivation for the Business Survey Response Task

Grinsven

Bolko

Bavdaž

2014

Journal of Official Statistics

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“…This idea can be formalised as follows:

s_{i, t}^{*} = f false(t false) + {normalν}_{t}

with ν t ∼ N (0, σ 2 ), i = 1, …, n and t = 1,…, T . However, as survey participant i must answer on the categorial scale, we only observe:

s_{i, t} = \{\begin{matrix} + & for s_{i, t}^{*} > {normalτ}^{+} \\ = & for {normalτ}^{+} \geq s_{i, t}^{*} > {normalτ}^{-} \\ - & for {normalτ}^{-} \geq s_{i, t}^{*} . \end{matrix} .

While the exact shape of f ( t ) might be undefined, it is usually assumed that the unobserved process represents the business cycle (Seiler, ). Yet, it seems not unrealistic to assume that f ( t ) by anticipation of the survey participants also captures to some extent assessments of exchange rate dynamics and/or the development of exports to trading partners.…”

Section: Empirical Assessment: the Case Of Germanymentioning

confidence: 99%

The exchange rate susceptibility of European core industries, 1995–2010

Leuwer

Süßmuth

2017

World Economy

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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. We would like to thank Richard Kneller and an anonymous referee for helpful recommendations and comments. Our thank is also due to Terms of use: Documents in

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“…It does, however, discuss some preliminary explanations. Firstly, in some countries the survey may suffer from non-responsive firms, leading to a significant bias that deteriorates the accuracy of survey-based indicators (see Seiler, 2014). Since we were not able to analyze firm-level data for each European state in such detail, it could be the case that employment expectations are biased in Bulgaria and Hungary due to non-responses, which would explain why the indicator loses its power for forecasting employment growth in these countries.…”

Section: Cw-tesmentioning

confidence: 99%