20 years of IAB Establishment Panel – Payoffs and Perspectives / 20 Jahre IAB-Betriebspanel – Erträge und Perspektiven
The IAB Establishment Panel—methodological essentials and data quality
Das IAB-Betriebspanel: Methodische Grundlagen und Datenqualität
Journal for Labour Market Research volume 47, pages 27–41 (2014)
The IAB Establishment Panel was launched to obtain information on the demand side of the labor market. This data meets two requirements: providing high quality data for the scientific aims and having an information system for policy makers and practitioners. As it started in 1993 a rich data set of 20 years establishment survey is available now. This article provides information about methodological issues of sample design and data sampling and changes that have taken place in recent years. We focus on quality issues, efforts to improve the survey and on some ongoing discussions about methodological adjustments of the survey mode.
Das IAB-Betriebspanel wurde vor 20 Jahren gestartet, um einen umfassenden Datensatz für die Nachfrageseite des Arbeitsmarkts zu generieren. Damit sollten sowohl der Wissenschaft hochwertige Daten mit entsprechendem Analysepotenzial zur Verfügung gestellt, als auch ein zuverlässiges Informationssystem für politische Entscheidungsträger etabliert werden. Dieser Beitrag gibt einen Überblick über die methodischen Grundlagen des IAB-Betriebspanels angefangen von der Stichprobenziehung über die Datengewinnung bis hin zu Fragen der Hochrechnung. Besonderes Augenmerk wird dabei auf Veränderungen im methodischen Design gelegt, die in den letzten Jahren vorgenommen wurden, sowie auf Fragen der Datenqualität. Zudem werden Überlegungen hinsichtlich eines möglichen Umstiegs der Erhebungsmethode auf computergestützte Formen präsentiert.
1 The IAB establishment panel
20 years ago the first wave of the IAB Establishment PanelFootnote 1 was launched in West Germany after a period of extensive conceptual work and testing. Declared objective of this undertaking was to establish a comprehensive dataset on the demand side of the labor market. From the beginning the project had to meet two requirements: generating high quality data with high analytical potential for the scientific community and providing an information system for policy makers and practitioners.
From this some essentials for the kind of data asked for emerged:
Coverage of all sectors and establishment sizes
Topicality and fast availability of the data
Longitudinal data for causal analysis
High response rates especially among the repeatedly questioned establishments
Dynamic panel that mirrors structural changes in the economy.
The twofold orientation towards scientific research and policy making presents a permanent challenge for the annual revision of the questionnaire. The task is to balance the obligation to provide a wide range of unaltered questions each year to enable panel analysis and the need for up to date information on recent topics of labor market policy.
This paper complements existing papers on the IAB Establishment Panel, especially the 2009 article by Fischer et al. to which some references will be made here. After five years an update of the methodological basics and developments is asked for particularly in a special issue of this journal dedicated to that data set.
While providing a comprehensive overview of the methodology (the sample design and sampling process, the survey methodology, the data processing and weighting) we focus on the data sampling process and the measures taken to assure a high data quality. We also pay special attention to the changes that have taken place since 2007 which was the last wave covered by the 2009 article by Fischer et al. (2009).
A specific feature of the IAB Establishment Panel is the (main) funding by the German Federal Employment Agency. Therefore, the money is coming from the contributors to the social security system. Additional financial resources come from the federal states (Bundesländer) to carry out state-specific supplementary samples. In 2012 13 out of 16 federal governments took part in the project and paid for about 35 % of the sample.Footnote 2 In return they are free to use not only their supplementary sample but the IAB-financed regional basic sample for their own analysis. This distribution of the financial load makes it possible to achieve a huge sample size (between 15.500 and 16.000) and to apply a rather costly survey method to ensure high data quality.
However, the co-financing is accompanied by some influence of the federal states in the design of the questionnaire which is generally focused on important topics of labor market policy. To implement suitable questions the stakeholders make proposals for new topics or additional questions on existing topics for which as a rule about 3 of the 24 pages of the questionnaire are reserved. In the remaining major part the annual standard program of questions is conducted.
2 The questionnaire—content and survey questions
The major part of the questionnaire consists of questions asked annually in an identical form (Table 1). These are about the structure of the workforce (qualification level, part time work, temporary employment, recruitment, quits and lay-offs etc.) and establishment characteristics like business figures and policies, remuneration and working time issues, training activities and further structural information.
Some of these modules are complemented by biennial asked questions, which aim to broaden and accentuate the annual basic information and enrich the potential for empirical analysis. These questions are about further training and innovation activities (asked in uneven years) and work practices and working time issues (asked in even years). Moreover, in every questionnaire there is room for focal subjects that are determined by the stakeholders of the IAB Establishment Panel survey. These questions often cover current political topics and therefore ensure that the IAB Establishment Panel not only provides data for longitudinal analyses but also up-to-date information on new political developments.
Table 2 shows the focal points and current topics for the last five years. Topics that made it into the questionnaire on account of the federal states and had quite an impact on the political debate were e.g. demand or shortage of skilled labor, location factors, employment of older workers or company level agreements.
Although it is crucial for a panel survey to provide comparable information over the years on the basis of unaltered questions the standard program of questions (annually or biennially) is not set in stone. Questions were revised and new questions added on topics like
temporary agency workers, freelancers, casual workers/trainees (2002);
company-specific forms of staff representation (2003);
highly qualified workers (2003);
jobs subjected to reduced social security contributions (midi-jobs) (2004);
turning fixed-term contracts into regular contracts (2005);
“one-euro-job holders” (2005);
marginal part-time workers (2006);
annual result (net profit or net loss) (2007);
process innovations (2007);
managed by (family of) proprietors or employed managers (2007);
non profit (charitable, religious) organization (2007);
pressure from competition/competitive situation (2008);
failing to fill vacancies for qualified jobs (2008);
prolonging of expired fixed-term contracts (2009);
private or public ownership (2011);
age of the works councils (2012);
differentiation of working time accounts and lifetime working time accounts (2012);
differentiation of wages above and beyond (non-tariff) collectively agreed rates (2013).
All changes are aimed to improve the analytical capacity of the dataset either by adding new contents or by providing additional structural information useful for econometric analysis.
In other cases questions were removed or their complexity reduced, either because of unacceptable problems with the data quality or because the question was outdated by legal or structural developments: For example the number of annual overtime hours was discarded (2002) because the share of missing values remained over one third of the sample despite several attempts to improve responsiveness. The distinction between blue- and white-collar workers was abandoned as respective changes in legislation and collective agreements were adapted by the establishments (2006). Furthermore, some changes in existing questions were induced by the results of our pretests. For example in the process of developing a more differentiated retrieval of the geographical origin of purchased raw materials, commodities and supplies the pretest results revealed fundamental problems of the respondents to deliver reliable and comparable answers. As a consequence the initial question was removed from the questionnaire (2004).Footnote 3
2.1 Cognitive pretest
To ensure the quality of the survey new questions have to pass an assessment procedure to be accepted for the questionnaire. The first step of this procedure is an evaluation by the research staff. It is checked e.g. if the research concern is appropriate for this kind of survey and whether the respondents might be able to answer these questions, meaning the information should generally be available at establishment level. When these criteria are met questions are tested in a cognitive pretest. At least 100 interviews are conducted in establishments of different sizes and industries. These interviews are not conducted by TNS Infratest but by employees of the IAB who are located in the Regional Directorates of the Federal Employment Agency and form the Regional Research Network of the IAB with special knowledge about the establishments in their region.
At first, the respondent of the pretest interview is asked to complete the questionnaire. In a second step, the respondent and the interviewer discuss the questionnaire. The respondents are asked to give their comments on the interview for instance whether the questions were difficult to understand or the information was easily enough available or could be retrieved with reasonable effort. Finally, there is room for a kind of qualitative interview about special topics. For example, in the pretest interview 2012 respondents were asked about energy costs in the previous business year. The aim was to explore the accounting of energy costs and to find out how energy costs are monitored on firm level. The respondents were asked to tell whether it is possible to give an overall sum in a given period of time and which effort would be necessary to calculate a respective figure. In this special case the results and comments of the respondents made clear that this topic is too complicated to be answered in a face-to-face interview and therefore is not suitable for the questionnaire of the IAB Establishment Panel.
The results of the pretest interviews and the comments of the respondents and interviewers are the basis for the research staff of the IAB Establishment Panel to discuss and evaluate together with the team of TNS Infratest which questions are to be included in the questionnaire and which must be altered or discarded altogether.
3 Methodological basics
The IAB Establishment Panel is conducted among establishments from all sectors and establishment size classes in Germany. It started in western Germany in 1993 with valid interviews from 4,265 establishments. In 1996 eastern German firms were added to the sample. 8,342 establishments were interviewed. Another major increase in the sample size was in 2000 when most of the western federal states (with the exception of Hamburg, Hesse and Saarland) started to support the survey financially. Since 2001 the survey is conducted in around 15,500 establishments every year (Fig. 1).
The survey is designed for longitudinal as well as cross-sectional analyses (for details see Fischer et al. 2009: 142–147). Researches should be enabled to follow the development of the same firms over time. Therefore, every year each establishment with an interview in the previous year is contacted again. The interviewer is given the address of the establishment and the number of employees of the previous year and has to ascertain that the same unit actually exists and is interviewed. If there are differences in the number of employees or the address the interviewer has to follow a special procedure to find out why the differences occur. In case of remaining inconsistencies these establishment are interviewed never the less but they lose their panel status and are only used in cross-sectional analyses.
The sampling frame of the IAB Establishment Panel is the Establishment File of the Federal Employment Agency (Bundesagentur für Arbeit—BA), which is aggregated from the employment statistics and contains all establishments/agencies with at least one employee covered by social security. One-person establishments or establishments with only marginal part-time employees or only civil servants are not included. The establishments are drawn in accordance with the principle of optimum stratification, whereby the probability of selection increases with the size of the establishment.
Ten establishment size classes, 19 sectors (Table 3) and the federal states serve as stratification variables. The ten size classes remained the same over the years while there were important changes in the classification of industries in 2000, 2003 and 2008. The modifications became necessary because the German classification of industries (WZ 2008) of the German Federal Statistical Office was revised to meet European standards (NACE) (Kössler 2009). Since 2012 19 strata for the industries are distinguished.
In econometric estimations it is common practice to include the stratification criteria as independent variables (see: Winship/Radbill 1994). First and foremost the establishment size is of great importance with sample-population-ratios (2012) between 0.406 (5,000 and more employees) and 0.004 (1 to 4 employees). In comparison the sector-specific disproportionate stratification ranges rather moderately between 0.035 (producer goods) and 0.005 (hotel business and gastronomy). Slightly more important are the differences with respect to the federal states which range from 0.053 (City/State of Bremen) to 0.004 (Bavaria).
The wide range of sample-population-ratios makes it also necessary to correct the disproportioned structure of the sample by using the cross sectional weighting factor included in the dataset.Footnote 4
Descriptive results can be obtained within the systematic of the sampling and weighting process (19 branches, 10 size classes and 16 federal statesFootnote 5). For more differentiated descriptive analyses or such with other compositions of the sampling frame one has to leave the solid ground of the weighting systematic. This means that users have to keep in mind that even if the number of cases is sufficient for such analyses, no information on the results regarding the precision and level of confidence can be obtained.
In theory this enables descriptive analysis on all combinations of the sampling frame (19×10×16). But this differentiation is restricted because of rapidly falling case numbers. Already on the national level there are some of the 190 weighting cells with no or just a few cases in the sample.Footnote 6 For single federal states the restrictions due to small case numbers are of course amplified. Therefore before commencing descriptive analysis the underlying case numbers have to be checked even within the sampling framework.
In order to depict the change in the economy and to compensate for the effects of panel mortality, establishments are added to the sample every year. Each establishment is characterized by a letter (wave codeFootnote 7) that indicates for instance whether it was interviewed for the first time, has been in the survey the year before or was closed down. There are also codes for establishments which are not able or willing to take part in the survey. Table 4 shows the wave codes of the establishments.
As mentioned before researchers can either perform cross-sectional or longitudinal analysis. For the former all establishments with a valid interview and at least one employee under social security in the previous year are included in the sample. Thus the continuer respondents (wave code: B) and the first time respondents (wave code: A) are considered valid cross-sectional cases. The latter consist of those replacing panel attrition and those replacing establishments going out of operation.Footnote 8 In addition continuer establishments which could not be identified as the same unit as last year (for example because of major structural changes) (wave code: D) and establishments that did not participate in the last wave but the wave before (wave code: E) are included.
In a longitudinal framework the development of individual establishments in the survey can be traced over a longer period of time. If that framework is chosen several definitions of a panel dataset are offered depending on the period considered. According to this panel definitions respective panel weighting factors for longitudinal description are available.Footnote 9 In the starting wave all first time respondents (wave code: A) are included as valid panel cases, as are all continuer respondents no matter whether the same unit was interviewed as last year (wave code: B) or a different unit (wave code: D) and units with no interview the previous year but the year before (wave code: E). In all following waves only first time respondents (wave code: A) which appear in the BA Establishment File and did not the year before and the continuer respondents with (wave code: B) and without (wave code: C) employees liable to social security are included. Furthermore, establishments that went out of operation in the current wave (wave code: Y) or earlier waves from the starting wave on (wave code: Z) are panel cases, because the termination of establishments is considered a panel information, reflecting the dynamic of the economy.
Up to 2012 there are six starting points for panel definitions (1993, 1996, 2000, 2003, 2007, and 2009). Those started 1993 and 1996 were not continued after 2006 because not enough cases were left. For all the defined starting points to every following wave there are weighting factors available enabling descriptions of the establishments “surviving” the respective time period and those that went out of business or were “newly founded” in the meantime.
In a longitudinal perspective analysis is often focused on establishments surviving a certain period of time and their individual development. Units that can be included in those studies in the sense of a balanced panel need a valid interview every year. Table 5 shows for the defined starting points the respective case numbers declining steadily from year to year despite the high response rates for continuer respondents in the IAB Establishment Panel.
Of course users can define their own panel dataset according to their particular needs and their focus of research. All necessary information especially on the wave codes is available in the dataset (Table 5).
4 Survey method and field work
High data quality is one of the main concerns of the IAB establishment panel. The survey is supported by the Federal Employment Agency and the German Employers’ Association. The establishments are first contacted by mail with letters from both institutions asking to take part in the survey. After the first contact in mid-June the interviews are scheduled with the firm representatives and they are carried out throughout the summer. The field work ends around mid-October.
To achieve high response rates face-to-face interviews are conducted whenever possible. Usually the questionnaires are filled in during the interview by the interviewer, but it is also possible to leave the questionnaire with the representative of the firm if that is necessary to complete parts of the questionnaire or if it is preferred by the person interviewed. Almost 7 % of the interviews are completed partly without the interviewer and 13.6 % of the interviewees prefer to complete the whole questionnaire on their own. A certain number of the interviews (around 1100 in 2012) have to be carried out by mail due to organizational reasons. These mail interviews are only conducted in Schleswig-Holstein and Saarland (Table 6).
Furthermore, TNS Infratest tries to send the same interviewer to the same firm every year, so that the persons involved are able to establish an atmosphere of mutual trust. This seems to pay off because the response rate of the “continuer” sample (responding establishments from the previous year) with face-to-face interviews remains stable over the years on a very high level of 84 % whereas the continuer sample of the mail interviews has a lower response rate of only 68 %. On the other hand the response rate of the firms contacted for the first time has declined over the last five years by 4 percentage points and is now 28 % (face-to-face) and only 12 % in the mail survey. The problem to gain new establishment/participants seems to be an overall trend that can be observed in many surveys. Replacement of panel mortality and attrition is a special challenge for the IAB Establishment Panel because in some of the strata—especially among big establishments—a very large part of the population has already been contacted in the past so that there are limited possibilities for adding fresh addresses to the gross sample.
5 Data editing and paradata from field work
After the data is collected and entered into a database a process of assessing the quality of the responses (editing) is started. In this process a computer program checks the data for errors, implausible answers and inconsistencies. Three types of errors are checked: Firstly, is the firm really the one that should be interviewed (see Fischer et al. 2009 for a comprehensive description). Secondly, are the filters used correctly in the questionnaire? Depending on the respective year up to 50 different error codes for filters are analyzed. The most complex testing concerns inconsistencies and implausible responses. Again depending on the year of the survey about 150 checks are conducted. In almost 26 % of all interviews no errors are reported, another 26 % show only one of these errors. 10 or more errors occur in less than 1 % of all interviews. If the computer program detects an error a code is reported in the database. In the case of reported errors the establishment is contacted once again by telephone for clarification. If this results in any corrections the entire data control process is started again to check consistency and plausibility of the new entries.
As for other surveys paradata is produced for the IAB Establishment Panel. The most important paradata are the information on the interviewer, the person interviewed and as mentioned above about the data collection mode. Furthermore, reasons why establishments were not able or willing to answer the questionnaire are collected. For the continuer sample it is also reported whether the interviewer has changed in the previous year.
Qualified interviewers are an important asset for any face-to-face survey. Therefore data about the interviewers are collected every year. This data allow evaluating basic demographics of the interviewers. There is a wide variation between the numbers of interviews per person with an average of 24 interviews per person. 87 % of the 620 interviewers have at least 10 year of school education and 30 % even have a university degree. Half of the interviewers are part of the TNS Infratest staff for eight years or longer. On average the interviewer is 63 years old. 61 % of the interviewers are men.
So far the data were used in methodological analyses to assess non-response bias and interviewer effects (for details see Janik and Kohaut 2012). The results show that age and sex of the interviewer have no influence on the non-response rate. They also confirm the significance of the interaction between the respondent and the interviewer. If the interviewer changed, the probability of further participation declines.
Lately, data on the respondent is collected in more detail, because the quality of data depends on the skills of the interviewer but also on the competence of the respondent. Information is gathered about the age and sex of the interviewee and their status within the establishment. The last variable is very important as only a person with a high status has the authority and the ability to answer the questions of the IAB Establishment Panel. Table 7 shows the status of the person interviewed in 2012. When interpreting Table 7 one has to keep in mind that the data are originally not collected as paradata but to enable the research institute to contact the interviewee again should there be questions during the data editing. Therefore, for quite a lot of establishments the role or status of the respondent is not reported by the interviewer because the name of the respondent is deemed sufficient in this context.
As can be seen (Table 7) almost half of the questionnaires were answered by members of the executive board or their deputies. Another 17 % were filled in by the heads of departments whereas only 3 % were answered by ordinary employees. So the aim of the IAB Establishment Panel to contact high ranking representatives in the firm is mostly met. To improve the data it is planned for future waves of the IAB Establishment Panel that the status of the respondents should be collected for all establishments in a standardized question.
The paradata are available (on request) for researchers if they want to include them in their multivariate analyses.
6 Linked-employer-employee data and data access
The IAB Establishment Panel data can be linked to the individual data of the employees working in the respective establishments, because every individual in the Employment Statistics Register is assigned the identification number of the firm he or she is working for. This integrated employer-employee data set, the so called Linked Employer-Employee Data (LIAB) enriches the analytical potential of the IAB establishment panel data, with information of the supply side of the labor market. The data about the employees is taken from the employment register of the German Federal Employment Agency which is generated via social security data processing. The Linked Employer-Employee Data from the IAB (LIAB) allow for simultaneous analysis of the supply and demand sides of the German labor market.
Data access to the IAB Establishment Panel data for external researchers is only possible via the Research Data Center of the German Federal Employment Agency (FDZ) because the establishments were assured complete data protection and anonymity of any published results. Furthermore, the Research Data Center makes several LIAB datasets for scientific use available. Access is provided in two ways: on-site use of the data or remote data access. For the remote data access researchers can test their computer programs with test data which are available online. After writing the analysis programs the syntax is sent to the FDZ by email and the analysis is conducted with the real data. After data protection checks the results are returned to the researcher. Additionally the FDZ provides more information about specific data products and working tools for users.Footnote 10 The access is free of charge.
Another product supplied by the FDZ in the “demand-side context” is the Scientific Use File (SUF) of the wave 2007 of the IAB Establishment Panel. It was developed by the department of Statistical Methods of the IAB (KEM) and is the first SUF of establishment data in Europe (Drechsler 2011). For confidentiality reasons this data file contains fewer and further aggregated variables. After a permission to use the SUF is granted, the Scientific Use File may be downloaded from an exchange server via a secure Internet connection by the user.
7 Internet ‘affinity’ of establishments
To secure the future viability of the IAB Establishment Panel there are ongoing discussions about possible methodological adjustments. One of these discussions deals with the necessity, possibility and potential implications of a change in the survey mode. Face-to-face interviews with paper and pencil (PAPI) were state of the art at the beginning of the 1990th when the IAB Establishment Panel started. It is still the method of choice when high data quality and highest possible response rates are to be achieved. In addition to the above mentioned properties it has the advantage that the questionnaire can be left in the establishment with the respondent to do some research if necessary and complete questions that couldn’t be answered without further effort.
Meanwhile there are alternative computer aided survey methods available and well established. Computer aided personal interviews (CAPI) as possible alternative have some advantages compared to the traditional method:
Validation and consistency checks during the interview,
automated skip patterns, so that only relevant parts of the survey are shown,
provision of additional information.
With regard to possible changes of the survey mode of the IAB Establishment Panel—besides the necessity to control for possible effects of a mode change—it has to be checked that it would still be possible to complete the questionnaire on site without an interviewer being present. Otherwise response rates (unit and item) would decrease. There are establishment surveys which use CAPI as the main mode of data collecting but to our knowledge there is no survey that handels the described problem/challenge of self-completing the interview within a computer aided design. There are solutions with a switch (back) to a printed questionaire (or part of it) which is left in the establishment (like in PAPI). This recourse to a paper and pencil version of the questionnaire somehow contradicts the whole idea of a computer aided survey mode. If the advantages of a computerized survey are to be fully exploited, a switch from the (then computer aided) face-to-face interview to a web based version of the questionnaire (CAWI) seems to be the only promising solution.
In our understanding the knowledge about a switch from PAPI to CAPI and especially the described combination of survey modes applied at establishment level is insufficient or virtually non-existent.Footnote 11 As a first step to gain reliable information concerning the access of the establishments to the Internet and especially the willingness to participate via the net and complete the questionnaire online a few corresponding questions were included in the 2012 wave of the IAB Establishment Panel. In the following some key results are presented that might also be interesting for the general debate on survey methodology.
To begin with the access to the Internet: Only 6 % of the establishments are not equipped with the technical requirements to use the web (about 2 % did not answer the question). As expected this inability to answer/complete a questionnaire online is strongly depending on the establishment size. In firms with 10 and more employees it is less than 2 %, with 50 and more employees it is just a handful. However, among small enterprises (less than 10 employees) about 15 % could not participate in a web-survey (Table 8).
Access to the Internet is of course just a prerequisite for participating in a web survey. The willingness and ability of the respondents to answer questions via the web is obviously quite a different story. Not less than 6 out of 10 owners/managers say that they could or would not do so. Like the technical requirements the willingness to participate increases with the establishment size but not as dramatic. Refusal is most probable among small enterprises (fewer than 10 employees) with 70 % and drops continuously to 40 % among large companies (500 and more employees). The overall result might at least partly be driven by the fact that the establishments taking part in the IAB Establishment Panel are used to face-to-face interviewing, especially at the end of the interview when these additional questions were presented (Table 9).
This predisposition/preoccupation is reflected in the answers to the follow up question why they wouldn’t complete such a questionnaire via Internet. As the main reason for their refusal the respondents mention “safety concerns” (54 %).Footnote 12 Among the category “other reasons” (which should be stated as plain text) there were mainly such which refer to the interview situation itself. In 3 out of 10 establishments the respondents obviously appreciate the personal contact with the interviewer and the fact that it is their counterpart who is responsible for a successful interview and the necessary organizing. In every 7th firm there are regulations or operating guidelines which do not allow the use of the Internet for such purposes.
For conducting a web survey among establishments the above figures are rather discouraging. Two thirds of the sample could or would not take part at all or complete the questionnaire via the Internet most because of safety concerns, some because the respondents prefer the ‘comfortable’ face to face situation. For our concern—a possible change of the survey mode from PAPI to CAPI and CAWI—these figures must be broken down and seen in the context of the mode the interview in the IAB Establishment Panel was conducted (as shown above) (Table 10).
With regard to a possible mode change in the IAB Establishment Panel we are not talking about an overall web survey but computer aided personal interviews with an additional web mode for self completing. So we do not consider all the firms which answered completely face-to-face and are the main source of refusals. The interesting cases are those which answer or complete the questionnaire themselves. All in all there are about 1850 respondents which receive the printed questionnaire either during the interview or via mail and state that they won’t (be able to) participate via the Internet.
For the mainly face-to-face interview a mode change would mean the loss of answers in a few variables and therefore an increase in item non response depending on how many questions are left with the respondents to complete themselves The mainly or entirely self-completed questionnaires would probably be lost in a CAPI/CAWI survey as would be the mail cases (interestingly the mode which shows the least reluctance to use the Internet). Further research is necessary to clarify what consequences this would have on the “continuer” sample and the replacement samples with regard to selectivity issues.
However, the at first sight rather discouraging result indicating widespread refusal is put into perspective when considering the context of a possible mode change in the IAB Establishment Panel. It is nothing to be ignored but also no knock-out result.
The IAB Establishment Panel can look back at 20 years of successful data collection thereby providing the scientific community and policy makers with high-quality data. As a panel survey the methodological basics and conceptual perspectives were set with its foundation. All efforts to maintain and enhance the analytical power and data quality have to find the fine line between innovation and continuity.
Despite the fundamentally ‘conservative’ approach, innovations take place but with caution and often rather in detail. Future adaptations of the modular system are a major point of such changes. Integrating new topics (which gained increasing attention in scientific and political debates) like ‘equal opportunities for men and women’ and ‘women in executive positions’ are discussed. With a given space of the questionnaire and limits of what the establishments are willing to endure such intended extensions of the basic program require reductions in other modules.
The future main “field of innovation” will be a possible change in the survey mode of the IAB Establishment Panel. So far, the mainly face-to-face interviews with paper-and-pencil (PAPI) provide above average response rates (especially for continuers). Still, it is important to look for alternative, more up-to-date survey modes to ensure the viability of the IAB Establishment Panel. As mentioned before a method with many advantages would be a computer-aided-personal interview with a web questionnaire (CAPI/CAWI) that can be completed by the respondent if necessary. To learn more about the ramifications of a possible mode change first experiments are planned. The results will enable the IAB to decide whether the risk of a change in the survey mode can be taken without endangering the continuity of the panel.
20 years ago the first wave of the IAB Establishment Panel was launched in West Germany after a period of extensive conceptual work and testing. Declared objective of this undertaking was to establish a comprehensive dataset on the demand side of the labor market. From the beginning the project had to meet two requirements: generating high quality data with high analytical potential for the scientific community and providing an information system for policy makers and practitioners.
The major part of the questionnaire consists of questions asked annually in an identical form. These are about the structure of the workforce (qualification level, part time work, temporary employment, recruitment, quits and lay-offs etc.) and establishment characteristics like business figures and policies, remuneration and working time issues, training activities and further structural information. Some of these modules are complemented by biennial asked questions to broaden and accentuate the annual basic information. Moreover, in every questionnaire there is room for special topics that are determined by the stakeholders of the IAB Establishment Panel. These questions often cover current political topics and therefore ensure that the IAB Establishment Panel not only provides data for longitudinal analyses but also up-to-date information on new political developments.
Although it is crucial for a panel survey to provide comparable information over the years on the basis of unaltered questions the standard program of questions (annually or biennially) is not set in stone. All changes are aimed to improve the analytical capacity of the dataset either by adding new contents or by providing additional structural information useful for econometric analysis. In some cases questions were removed or their complexity reduced, either because of unacceptable problems with the data quality or because the question was outdated by legal or structural developments.
To ensure the quality of the survey new questions have to pass an assessment procedure to be accepted for the questionnaire. In a cognitive pretest at least 100 interviews are conducted in establishments of different sizes and industries. The results of the pretest interviews and the comments of the respondents and interviewers are the basis for the research staff of the IAB Establishment Panel to discuss and evaluate together with the team of TNS Infratest which questions are to be included in the questionnaire and which must be altered or dropped altogether.
The IAB Establishment Panel is conducted among establishments from all sectors and establishment size classes in Germany. The survey is designed for longitudinal as well as cross-sectional analyses. In order to depict the change in the economy and to compensate for the effects of panel mortality, establishments are added to the sample every year. In a longitudinal framework the development of individual establishments in the survey can be traced over a longer period of time. If that framework is chosen several definitions of a panel dataset are offered depending on the period considered. According to this panel definitions respective panel weighting factors for longitudinal description are available. Of course users can define their own panel dataset according to their particular needs and their focus of research.
High data quality is one of the main concerns of the IAB-establishment panel. To achieve high response rates face-to-face interviews are conducted whenever possible. Usually the questionnaires are filled in during the interview by the interviewer, but it is also possible to leave the questionnaire with the representative of the firm if that is necessary to complete parts of the questionnaire or if it is preferred by the person interviewed.
As for other surveys paradata is produced for the IAB Establishment Panel. The most important paradata are the information on the interviewer, the person interviewed and the data collection mode. Furthermore, reasons why establishments were not able or willing to answer the questionnaire are collected. Data about the interviewers are also collected every year. This data allow evaluating basic demographics of the interviewers. Lately, data on the respondent are collected in more detail, because the quality of data depends on the skills of the interviewer but also on the competence of the respondent. Information is gathered about the age and sex of the interviewee and their status within the establishment. The paradata are available (on request) for researchers if they want to include them in their multivariate analyses.
To secure the future viability of the IAB Establishment Panel there are ongoing debates about possible methodological adjustments. One of these discussions deals with the necessity, possibility and potential implications of a change in the survey mode to CAPI/CAWI. Some additional questions in the 2012 questionnaire on the Internet “affinity” of the establishments provide first insights. To learn more about the ramifications of a possible mode change corresponding experiments are planned. The results will enable the IAB to decide whether the risk of a change in the survey mode can be taken without endangering the continuity of the panel.
Vor 20 Jahren wurde die erste Welle des IAB-Betriebspanels in Westdeutschland auf den Weg gebracht. Erklärtes Ziel war es, einen umfassenden Datensatz für die Nachfrageseite des Arbeitsmarktes zu etablieren. Von Beginn an standen zwei Ziele im Mittelpunkt: einen Datensatz von hoher Qualität mit weitreichendem Analysepotenzial für die Wissenschaft zu erzeugen und den politischen Entscheidungsträgern ein zuverlässiges und belastbares Informationssystem an die Hand zu geben.
Der Hauptteil des Fragebogens besteht aus jährlich in identischer Form gestellten Fragen. Die Themen umfassen die Struktur der Beschäftigung (Qualifikation, Teilzeitarbeit, Leiharbeit, Einstellungen und Entlassungen usw.) und Charakteristika des Betriebs wie die Geschäftspolitik und Geschäftsentwicklung, die Entlohnung, Arbeitszeitregelungen, Aus- und Weiterbildung und weitere Strukturdaten. Einige dieser Module werden ergänzt durch weitere im zweijährigen Rhythmus erfragte Informationen, die weiter in die Tiefe gehen. Darüber hinaus ist in jedem Fragebogen Raum für Schwerpunktfragen, über die die „Stakeholder“ des IAB-Betriebspanels entscheiden. Diese Fragen zielen oft auf aktuelle politische Themen ab und stellen dadurch sicher, dass das IAB-Betriebspanel nicht nur Daten für Längsschnittanalysen bereit stellt sondern auch mit neuen politischen Entwicklungen Schritt hält.
Ein Panel-Datensatz steht und fällt zwar mit den Informationen, die in jeder Befragungswelle in identischer Weise erhoben werden. Nichts desto weniger ist auch das Standardprogramm des IAB-Betriebspanels nicht in Stein gemeißelt. Die Veränderungen, die über die Jahre vollzogen wurden, zielten alle darauf ab das analytische Potenzial des Datensatzes zu erhöhen, indem entweder neue Inhalte oder zusätzliche Strukturinformationen für ökonometrische Analysen ergänzt wurden. In einigen Fällen sind auch Fragen entfernt oder deren Komplexität reduziert worden. Dies geschah entweder auf Grund von Problemen mit der Datenqualität oder weil die Fragen durch Entwicklungen im Feld obsolet wurden.
Zur Sicherung der Datenqualität werden neu in das IAB-Betriebspanel aufzunehmende Fragen intensiv getestet und zwar im Rahmen eines kognitiven Pretest in über 100 Betrieben verschiedener Größenklassen und Branchen. Die Ergebnisse dieses Pretests mit den Kommentaren der Befragten und der Interviewer bilden die Basis für die Entscheidungsfindung, welche Fragen integriert, verändert oder gänzlich aussortiert werden.
Grundgesamtheit des IAB-Betriebspanels sind die Betriebe aller Sektoren und Größenklassen mit mindestens einem sozialversicherungspflichtig Beschäftigten. Die Erhebung ist sowohl für Längs- als auch Querschnittsanalysen konzipiert. Um die Dynamik in der Wirtschaft abzubilden und um die Panelmortalität auszugleichen, werden jedes Jahr neue Betriebe in die Stichprobe aufgenommen. In der Längsschnittperspektive kann die Entwicklung des einzelnen Betriebs über einen längeren Zeitraum verfolgt werden. Hierzu stehen verschiedene Paneldefinitionen im Datensatz zur Verfügung in Abhängigkeit des anvisierten Analysezeitraums. Für alle diese Paneldefinitionen stehen Längsschnitt-Gewichtungsfaktoren zur Verfügung. Die Nutzer des IAB-Betriebspanels können aber natürlich ihre eigenen Paneldatensätze erzeugen entsprechend ihrer spezifischen Forschungsperspektiven.
Eine hohe Datenqualität ist eines der zentralen Anliegen des IAB-Betriebspanels. Um hohe Response-Raten zu erreichen, werden so weit möglich persönlich-mündliche Interviews durchgeführt. Grundsätzlich werden die Fragebögen während des Interviews vom Interviewer ausgefüllt. Es ist aber auch möglich, den Fragebogen im Betrieb zu hinterlassen, wenn dies für dessen Komplettierung notwendig ist oder von der befragten Person so gewünscht wird.
Wie in anderen Erhebungen auch werden im IAB-Betriebspanel verschiedene Paradaten produziert. Die wichtigsten davon beinhalten Informationen über den Interviewer, die befragte Person und die Erhebungsmethode. Darüber hinaus, werden die Gründe erhoben, weshalb ein Betrieb nicht in der Lage oder willens war zu antworten. Daten über die befragte Person werden gesammelt, nicht zuletzt um sicher zu stellen, dass die Befragten auch über die notwendige Kompetenz zur Beantwortung der Fragen verfügen. Die Paradaten stehen externen Wissenschaftlern (auf Nachfrage) zur Verfügung.
Um die Zukunftsfähigkeit des IAB-Betriebspanels zu sichern, werden laufend die methodischen Grundlagen der Erhebung auf den Prüfstand gestellt. Eine dieser Diskussionen thematisiert die Notwendigkeit, die Realisierbarkeit und die möglichen Auswirkungen einer Umstellung auf computergestützte Erhebungsmethoden (CAPI/CAWI). Einige im 2012er Fragebogen zusätzliche gestellte Fragen zur Internet „affinität“ der Betriebe liefern dazu erste Erkenntnisse. Um mehr über die möglichen Folgen eines Wechsels der Erhebungsmethode zu erfahren, sind entsprechende Experimente im Rahmen der 2014er Welle des IAB-Betriebspanels geplant. Die Ergebnisse werden den Entscheidungsprozess erleichtern, inwieweit das Risiko einer Umstellung der Erhebungsmethode riskiert werden kann, ohne die Kontinuität des IAB-Betriebspanels zu gefährden.
From the beginning the IAB Establishment Panel has been conducted by TNS Infratest.
For further information on the participating federal states see Table 11.
For a comprehensive list of variables included every year see: http://doku.iab.de/fdz/iabb/Variablenliste_e.xlsx.
Each firm that can be used in cross-sectional analyses is indicated “Q” in variable QUERXXXX and has a cross-sectional weighting factor HRFXXXXQ, where XXXX stands for the respective year. For a description of the weighting process see Fischer et al. (2009: 142ff).
There is also an oversampling for the establishments in the manufacturing industry in East Germany which is financed externally.
For the actual weighting process cells are aggregated when necessary to reach sufficient case numbers.
The respective variable is called WELLXXXX, where XXXX stands for the year.
Those new establishments that replace closed plants are characterized by an identification number which didn’t show up in the BA Establishment File the previous year. This does not necessarily mean the actual formation of a new establishment. An identification number can also turn up and disappear in firms that have employees liable to social security in some years and don’t in others. Furthermore there might be structural changes in the establishment that lead to an allocation of a new identification number (for further information on the allocation of Establishment Identification Numbers see Fischer et al. 2009: 135).
Each establishment that can be used in a certain panel definition is indicated “P” in variable PANXX_XX where the Xs stand for the starting and ending year. Accordingly the panel weighting factors are named HRXX_XXP.
More information is available at http://fdz.iab.de/de/FDZ_Establishment_Data.aspx and http://fdz.iab.de/de/Integrated_Establishment_and_Individual_Data/LIAB.aspx.
One of the few papers we found is a kind of practical guideline dealing with the introduction of web-based data collection in establishment surveys (Fox et al. 2004). Quite different is the situation regarding individual or household surveys for which there is a vast literature about mode changes from PAPI to CAPI to CAWI and mixed-mode approaches.
The corresponding question in the IAB Establishment Panel explicitly stated that common safety standards would of course be met in a web survey.
Drechsler, J.: Methodenreport: Synthetische Scientific-Use-Files der Welle 2007 des IAB-Betriebspanels. In: FDZ-Methodenreport 01/2011 (2011)
Fischer, G., Janik, F., Müller, D., Schmucker, A.: The IAB establishment panel * things users should know. Schmollers Jahrb. Wirtsch.- Soz.wiss. 129(1), 133–148 (2009)
Fox, J.E., Mockovak, W., Fisher, S.K., Rho, C.: Usability issues associated with converting establishments surveys to web-based data collection. Statistical policy working paper 38, Federal Committee on Statistical Methodology (2004)
Janik, F., Kohaut, S.: Why don’t they answer? Unit non-response in the IAB establishment panel: quality and quantity. Int. J. Methodol. 46(3), 917–934 (2012)
Kössler, R.: WZ 2008: Die neue Ordnung der wirtschaftsstatistischen Welt. In: Statistisches Monatsheft Baden-Württemberg, vol. 8, pp. 23–32 (2009)
Statistisches Bundesamt: Klassifikation der Wirtschaftszweige (2008). https://www.destatis.de/DE/Methoden/Klassifikationen/GueterWirtschaftklassifikationen/klassifikationwz2008_erl.pdf?__blob=publicationFile. Zugriff 08.05.2013
Winship, C., Radbill, L.: Sampling weights and regression analysis. Sociol. Methods Res. 23, 230–257 (1994)
Appendix: Table 11
Appendix: Table 11
About this article
Cite this article
Ellguth, P., Kohaut, S. & Möller, I. The IAB Establishment Panel—methodological essentials and data quality. J Labour Market Res 47, 27–41 (2014). https://doi.org/10.1007/s12651-013-0151-0
- Federal State
- Mode Change
- Wave Code
- Survey Mode
- Establishment Size