1,720,966 research outputs found
Testing the importance of cleansing procedures for overlaps inadministrative data : first evidence for Germany
Get PDF"Process-generated and administrative datasets have become increasingly important for labour market research over the past ten years. Major advantages of this data are large sample sizes, absence of retrospective gaps and unit non-responses. Nevertheless, the quality and validity of the information remain unclear. This paper contributes to this subject, focusing on the variation of research results due to alternative data cleansing procedures. In particular, the paper uses the general set up for data cleaning proposed by Wunsch/Lechner (2008) in evaluating the outcome of training programmes in Germany. First results are limited to the sensitivity of the construction of the sample populations used for the counterfactual analysis. The results emphasize that sample construction seems to be robust to the scenario used for the data cleansing." (Author's abstract, IAB-Doku) ((en))Arbeitsmarktforschung, Wirkungsforschung, Forschungsmethode, prozessproduzierte Daten, Datenqualität, Validität, Datenaufbereitung, Stichprobenverfahren, Non Response
Integrated employment biographies sample IEBS : handbook for the IEBS in the 2008 version
Get PDF"The IEBS is a random sample drawn from the Integrated Employment Biographies (IEB) of the IAB. The IEB are not to be understood as a self-contained dataset but as a procedure for merging data from four different sources for the purpose of data quality control and for drawing samples such as the IEBS. The four data sources are - the IAB Employee History (BeH) with observations of employment subject to social security taken from the social security notification procedure, - the Benefit Recipient History (LeH) with observations of receipt of unemployment benefit, unemployment assistance and maintenance allowance, - the Participants-in-Measures History File (MTH) with observations of participation in employment and training measures and - the Applicant Pool Data (BewA) with job-search observations. The most important changes compared with the 2005 version of the IEBS are: Updating of the loading status and inclusion of new variables; the variable 'grund' is recoded in the variable spectrum; the missing values are recoded uniformly to the value -7; reforms of district territories in Saxony-Anhalt and Thuringia result in new district numbers from 2007." (Author's abstract, IAB-Doku) ((en)) Additional Information Here you can find the German version.Forschungsdatenzentrum, Integrierte Erwerbsbiografien, Daten - Modell
The impact of cleansing procedures for overlaps on estimation results : evidence for German administrative data
Get PDF"Process-generated and administrative datasets have become increasingly important for labor market research over the past ten years. Major advantages of these data are large sample sizes as well as absence of retrospective gaps and unit non-responses. Nevertheless, the quality and validity of the information remains unclear and a lot of preparation and data cleansing is necessary before the data are analyzable. Unfortunately, only few researchers provide access to their cleansing procedures and therefore, also the impact of them on the results of the analyses is unidentified. This paper contributes to this subject and focuses on the variation of research results due to alternative data cleansing procedures. In particular, the paper uses the framework for data preparation suggested in an evaluation study by Wunsch and Lechner (2008) as a benchmark and then induces variation by developing different cleansing procedures for overlapping and parallel observations. The descriptive results show that the differences between the data sets (based on the different procedures) show various magnitudes on some attributes concerning time and personal characteristics. Similar results appear for the subsequent analysis of the treatment effects, which do not vary in the overall shape but in the magnitude especially during the lock-in effect. In sum the results of the analysis indicate that the empirical findings of the evaluation method are fairly robust to variations in the underlying cleansing procedure." (Author's abstract, IAB-Doku) ((en))Datenqualität, prozessproduzierte Daten, Datenaufbereitung, Integrierte Erwerbsbiografien
Cleansing procedures for overlaps and inconsistencies in administrative data: the case of German labour market data
Get PDF'In den letzten zehn Jahren wurden prozessgenerierte und administrative Daten stetig wichtiger für die Arbeitsmarktforschung. Die größten Vorteile dieser Daten sind große Stichprobenumfänge, das Fehlen von Beobachtungslücken und Totalausfällen. Dennoch bleibt die Qualität und Validität der Informationen unklar. Diese Arbeit greift diesen Punkt auf und richtet den Schwerpunkt auf den Einfluss von alternativen Bereinigungsprozeduren auf Forschungsergebnisse. Insbesondere nutzt die vorliegende Arbeit die von Wunsch/ Lechner (2008) vorgeschlagenen Prozeduren der Datenaufbereitung bei der Evaluation von Programmen der aktiven Arbeitsmarktforschung in Deutschland. Die ersten Ergebnisse sind auf Sensitivitätsanalysen bei der Erstellung von Beobachtungsgruppen beschränkt. Die Ergebnisse zeigen, dass die Zusammensetzung der Gruppen robust gegenüber einer Änderung der Datenaufbereitung ist.' (Autorenreferat)'Process-generated and administrative datasets have become increasingly important for labor market research over the past ten years. Major advantages of this data are large sample sizes, absence of retrospective gaps and unit nonresponses. Nevertheless, the quality and validity of the information remain unclear. This paper contributes to this subject, focusing on the variation of research results due to alternative data cleansing procedures. In particular, the paper uses the general set up for data cleaning proposed by Wunsch/ Lechner (2008) in evaluating the outcome of training programs in Germany. First results are limited to the sensitivity of the construction of the sample populations used for the counterfactuals analysis. The results emphasize that sample construction seems to be robust to the scenario used for the data cleansing.' (author's abstract
The outcome of coaching and training for self-employment : a statistical evaluation of non-financial support schemes for unemployed business founders in Germany
Get PDF"This paper focuses on the question of whether improving the competence of new business founders by means of coaching and training programs enhances the duration of self-employment. In our analysis we focus on support activities that are provided in addition to a financial subsidy and which mainly focus on providing external expertise for founders who started a business from a position of unemployment. We find that the inflow into the related schemes is strongly determined by regional patterns and time while individual characteristics are less important. This reflects a particular regional specialization in the set-up of the promotion of selfemployment. A statistical matching approach is used to control for selectivity and is performed in a way that explicitly takes into account differences across regions and over time. The results show that treatment effects tend to be insignificant in statistical and economic terms. We also find evidence that external expertise reduces the duration of self-employment." (Author's abstract, IAB-Doku) ((en))Arbeitslose, Unternehmensgründung, Unternehmer, Coaching, arbeitsmarktpolitische Maßnahme - Erfolgskontrolle, Qualifizierungsmaßnahme, Unternehmenserfolg, Förderungsmaßnahme - Inanspruchnahme, regionale Faktoren, berufliche Selbständigkeit, Überbrückungsgeld, Integrierte Erwerbsbiografien, IAB-Betriebs-Historik-Panel
The outcome of coaching and training for self-employment: A statistical evaluation of non-financial support schemes for unemployment business founders in Germany
Get PDFThis paper focuses on the question of whether improving the competence of new business founders by means of coaching and training programs enhances the duration of self-employment. In our analysis we focus on support activities that are provided in addition to a financial subsidy and which mainly focus on providing external expertise for founders who started a business from a position of unemployment. We find that the inflow into the related schemes is strongly determined by regional patterns and time while individual characteristics are less important. This reflects a particular regional specialization in the set-up of the promotion of self-employment. A statistical matching approach is used to control for selectivity and is performed in a way that explicitly takes into account differences across regions and over time. The results show that treatment effects tend to be insignificant in statistical and economic terms. We also find evidence that external expertise reduces the duration of self-employment.Die vorliegende Arbeit beschäftigt sich mit der Frage ob Maßnahmen mit dem Ziel einer Verbesserung der Qualifikation von Gründern zu einer Erhöhung der Erfolgschancen von Gründungsprojekten führen. Untersucht werden nicht-finanzielle Förderinstrumente bei Gründungen aus der Arbeitslosigkeit. Deutschland hat hier in den letzten Jahren zahlreiche neue Instrumente geschaffen, die unter anderem an der Qualifikation der Gründer in der Vor- und der frühen Nachgründungsphase ansetzen. In der Untersuchung zeigen sich starke regionale Unterschiede in der Eintrittswahrscheinlichkeit - in zahlreichen Regionen finden sich sogar gar keine Fördereintritte. Dies deutet bei der Vergabe von Förderleistungen der ergänzenden Gründungsförderung auf eine sehr hohe Bedeutung regional spezialisierter Förderstrategien hin. Bei den Vergleichsanalysen werden diese Besonderheiten im statistischen Matchingansatz berücksichtigt. Die Ergebnisse zeigen, dass unabhängig von der Modellspezifikation, Stichprobeneinschränkungen und Art der Erfolgsmessung, im Aggregat keine statistisch signifikanten Effekte bei der ergänzenden und qualifikationsspezifisch ausgerichteten Gründungsförderung erwartet werden können
The outcome of coaching and training for self-employment. A statistical evaluation of outside assistance support programs for unemployed business founders in Germany
No full textThis paper focuses on the question of whether improving the competence of new business founders through programs that offer external expertise enhances the duration of self-employment. In our analysis, we focus on three different programs that are provided along with a financial subsidy and that focus on founders who started a business while they were unemployed. We found that participation was strongly determined by regional patterns and time, and that individual characteristics were less important. These results reflect a particular regional specialization in promoting self-employment. A statistical matching approach was used to control for selectivity and was performed in a way that explicitly considered differences across regions and over time. The results show that the treatment effects tended to be low. However, we found evidence that external expertise increased passive learning
The Impact of Cleansing Procedures and Coding Decisions for Overlaps on Estimation Results – Evidence from German Administrative Data
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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