An Overview of the Kauffman Firm Survey: Results from the 2004-2007 Data

Robb, Alicia; Ballou, Janice; DesRoches, David; Potter, Frank; Zhao, Zhanyun; Reedy, E. J.

doi:10.2139/ssrn.1392292

Cited by 39 publications

(27 citation statements)

References 3 publications

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“…For example, age has been shown to be a highly statistically negative predictor of …rm failure although …rm size was not statistically signi…cant in this study (Kallberg and Udell, 2003). However, in a longitudinal study of start-up …rms, surviving …rms were on average considerably larger than …rms that did not survive (Robb et al, 2009). Moreover, in pricing regressions both age and …rm size have been shown to be negatively related to loan interest rates consistent with these characteristic being associated with lower ex ante risk (Petersen and Rajan, 1995;and Berger and Udell, 1995).…”

Section: Lending To Ex-ante Risky …Rms or Bank Risk Taking?contrasting

confidence: 55%

'When the Cat's Away the Mice Will Play': Does Regulation at Home Affect Bank Risk Taking Abroad?

2012

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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. Terms of use: Documents in EconStor may Macroprudential Research NetworkThis paper presents research conducted within the Macroprudential Research Network (MaRs). The network is composed of economists from the European System of Central Banks (ESCB), i.e. the 27 national central banks of the European Union (EU) and the European Central Bank. The objective of MaRs is to develop core conceptual frameworks, models and/or tools supporting macro-prudential supervision in the EU. The research is carried out in three work streams: 1) Macro-financial models linking financial stability and the performance of the economy; 2) Early warning systems and systemic risk indicators; 3) Assessing contagion risks. MaRs is chaired by Philipp Hartmann (ECB). Paolo Angelini (Banca d'Italia), Laurent Clerc (Banque de France), Carsten Detken (ECB), Cornelia Holthausen (ECB) and Katerina Šmídková (Czech National Bank) are workstream coordinators. Xavier Freixas (Universitat Pompeu Fabra) and Hans Degryse (Katholieke Universiteit Leuven and Tilburg University) act as external consultant. Angela Maddaloni (ECB) and Kalin Nikolov (ECB) share responsibility for the MaRs Secretariat. The refereeing process of this paper has been coordinated by a team composed of Cornelia Holthausen, Kalin Nikolov and Bernd Schwaab (all ECB). The paper is released in order to make the research of MaRs generally available, in preliminary form, to encourage comments and suggestions prior to final publication. The views expressed in the paper are the ones of the author(s) and do not necessarily reflect those of the ECB or of the ESCB. This paper provides the …rst empirical evidence that bank regulation is associated with cross-border spillover e¤ects through the lending activities of large multinational banks. We analyze business lending by 155 banks to 9613 …rms in 1976 di¤erent localities across 16 countries. We …nd that lower barriers to entry, tighter restrictions on bank activities, and higher minimum capital requirements in domestic markets are associated with lower bank lending standards abroad. The e¤ects are stronger when banks are less e¢ ciently supervised at home, and are observed to exist independently from the impact of host-country regulation. AcknowledgementsJEL classi…cation: G21, G28, G32. Keywords: bank regulation, cross-border …nancial institutions, lending standards, …nancial risk. 1 Non-technical summaryDoes the strictness of home-country bank regulation and supervision affect lendi...

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Section: Lending To Ex-ante Risky …Rms or Bank Risk Taking?contrasting

confidence: 55%

'When the Cat's Away the Mice Will Play': Does Regulation at Home Affect Bank Risk Taking Abroad?

2012

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“…On the other hand, the data are also suitable for international comparative research. For example, the design of the Kauffman Firm Survey for the United States (Robb et al 2009) is similar to the KfW/ZEW Start-up Panel in that it tracks newly founded firms over more than six years and also focuses on firm strategies, financing, innovation and labour demand. 30, 24.20, 24.41, 24.61, 29.11, 29.60, 30.02, 31.62, 32.10, 32.20, 33.20, 33.30, 35.30 2 high-technology manufacturing 22.33, 24.11, 24.12-4, 24.17, 24.30, 24.42, 24.62-4, 24.66, 29.12-4, 29.31-2, 29.40, 29.52-6, 30.01, 31.10, 31.40, 31.50, 32.30, 33.10, 33.40, 34.10, 34.30, 35 Cutting-edge manufacturing technology: manufacturing industries with average R&D expenditure > 8.5% of total sales.…”

Section: Resultsmentioning

confidence: 99%

The KfW / ZEW Start-up Panel: Design and Research Potential

Fryges¹,

Gottschalk²,

Kohn³

2010

SCHM

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Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW.Download this ZEW Discussion Paper from our ftp server:ftp://ftp.zew.de/pub/zew-docs/dp/dp09053.pdf Non-technical SummaryExisting data sets on firm formations in Germany suffer from various shortcomings that prohibit sound analyses of new firms' development over time. Therefore, the Centre for European Eco- This way we will be able to reliably identify the survival status of all firms that ever participated in the panel, and to distinguish between firm mortality and other reasons preventing a repeated contact with a firm (e.g., change of firm name, change of telephone number).The utilisation of the firm records is restricted for scientific purposes only. The rules of data protection guarantee that survey data will not be used for credit negotiations or credit ratings of the participating firms. Anonymised scientific-use-files of the yearly surveyed cross-sections of the KfW/ZEW Start-up Panel will be provided to external scientists with a respective delay of three years. Abstract: So far, there has been no data set which observes firm formations in Germany not only on a cross-sectional basis using one-time surveys, but continuously over a number of years. Therefore, the Centre for European Economic Research (ZEW), KfW Bankengruppe and Creditreform set up a panel study of newly founded firms in Germany: the KfW/ZEW Start-up Panel. In each of the yearly panel waves computer-aided telephone interviews (CATI) are conducted with about 6,000 start-up firms from almost all industries. The KfW/ZEW Start-up Panel will for the first time enable profound analyses of the temporal development of newly founded firms, including studies of firm survival. This paper describes the design of the KfW/ZEW Start-up Panel. The survey's research potential is illustrated using data from the first panel wave conducted in the year 2008. Data access for external researchers and data protection issues of the confidential micro data are discussed. Nicht-technische Zusammenfassung

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“…The following description of the sample comes from the KFS documentation (Robb et al 2009). A random sample of 32,469 firms was chosen from Dun and Bradstreet's database of all new businesses started in 2004 in the United States, excluding nonprofit firms, those owned by an existing business, or firms inherited from someone else; the KFS research team interviewed principals of 4,928 new firms between July 2005 and July 2006 (43% response rate with sampling weights) and respondents were paid $50 to participate.…”

Section: Data and Samplementioning

confidence: 99%