Unique Features of Business Surveys

Cox, Brenda G.; Chinnappa, B.

doi:10.1002/9781118150504.ch1

Cited by 6 publications

(5 citation statements)

References 1 publication

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“…Compared to social surveys, business surveys have some unique characteristics that call for special attention because of their impact on accuracy of collected data [1,[3][4][5]. Among these characteristics is the business response process where: (i) the business management, not the surveyor, decides who should respond; (ii) respondents often need to carry out an internal data collection; (iii) survey questions typically require knowledge of work-related concepts; and (iv) data usually have to be retrieved from the business information system [6,7].…”

Section: Qualitative Research On the Response Burdenmentioning

confidence: 99%

“…Communicating with businesses about the survey request is a necessary process for delivering questionnaires to sampled units and obtaining timely, complete, and accurate responses. In follow-up to Cox and Chinnappa [3] Snijkers and Jones [6] identified three stages of business survey communication: a) pre-field stage (e.g. establishing contact with selected businesses, informing businesses about the survey and the intended respondent); b) field stage (e.g.…”

Section: Developments In Communicating With Businessesmentioning

confidence: 99%

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Business data collection methodology: Current state and future outlook

Bavdaž

Snijkers

Sakshaug

et al. 2020

SJI

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Collecting data from businesses faces ever-larger challenges, some of them calling for an overhaul of underlying methodology, e.g. motivation for participating is low; technology is shaping data collection processes; response processes within businesses are imperfectly understood while alternative data sources originating from digitalization processes push the response process (thus also response quality) further out of our sight. The paper reviews these challenges, discusses them in light of new developments in the field, and proposes directions for future research. This review may help those that collect data from businesses (e.g. national statistical institutes, academia, and private statistical agencies) to reconsider their current approaches in light of what promises to work (or not) in today’s environment and to build their toolkit of business data collection methods.

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Section: Qualitative Research On the Response Burdenmentioning

confidence: 99%

Section: Developments In Communicating With Businessesmentioning

confidence: 99%

Business data collection methodology: Current state and future outlook

Bavdaž

Snijkers

Sakshaug

et al. 2020

SJI

View full text Add to dashboard Cite

show abstract

“…Its breakdown point is not high and is equal to 1/n. The M-estimator is conditional biasconditional on the proportion of the outlier in the sample (Cox et al, 1995).…”

Section: M-estimationmentioning

confidence: 99%

M-Estimators in business statistics

Dehnel

2016

SiTns

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Recent years have seen a dynamic development in statistical methods for analysing data contaminated with outliers. One of the more important techniques that can deal with outlying observations is robust regression, which represents four decades of research. Until recently the implementation of robust regression methods, such as M-estimation or MM-estimation, was limited owing to their iterative nature. With advances in computing power and the growing availability of statistical packages, such as R and SAS, Stata, the applicability of robust regression methods has increased considerably.The aim of the study is to evaluate one of these methods, namely M-estimation, using data from a survey of small and medium-sized businesses. The comparison involves nine M-estimators, each based on a different weighting function. The results and conclusions are formulated on the basis of empirical data from the DG-1 business survey.

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“…On the data collection side, a lot of the techniques were similar to those used for social surveys, but the context was completely different, with challenges around reaching the right people to provide the information, evaluating the availability and quality of information in records systems, and developing collection modes that matched rapidly changing office technology. Many of the approaches specific to business surveys were not widely known and the book of invited papers (Cox et al 1995) was an important reference for a long time.…”

Section: Trends In Topicsmentioning

confidence: 99%