Securitization and the Declining Impact of Bank Finance on Loan Supply: Evidence from Mortgage Originations
Elena Loutskina, Philip E. Strahan
Journal of Finance,
No. 2,
2009
Abstract
Low‐cost deposits and increased balance sheet liquidity raise banks' supply of illiquid loans more than loans easily sold or securitized. We exploit the inability of Fannie Mae and Freddie Mac to purchase jumbo mortgages to identify an exogenous change in liquidity. The volume of jumbo mortgage originations relative to nonjumbo originations increases with bank holdings of liquid assets and decreases with bank deposit costs. This result suggests that the increasing depth of the mortgage secondary market fostered by securitization has reduced the effect of lender's financial condition on credit supply.
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The Role of Securitization in Bank Liquidity and Funding Management
Elena Loutskina
Journal of Financial Economics,
No. 3,
2011
Abstract
This paper studies the role of securitization in bank management. I propose a new index of “bank loan portfolio liquidity” which can be thought of as a weighted average of the potential to securitize loans of a given type, where the weights reflect the composition of a bank loan portfolio. I use this new index to show that by allowing banks to convert illiquid loans into liquid funds, securitization reduces banks' holdings of liquid securities and increases their lending ability. Furthermore, securitization provides banks with an additional source of funding and makes bank lending less sensitive to cost of funds shocks. By extension, the securitization weakens the ability of the monetary authority to affect banks' lending activity but makes banks more susceptible to liquidity and funding crisis when the securitization market is shut down.
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Informed and Uninformed Investment in Housing: The Downside of Diversification
Elena Loutskina, Philip E. Strahan
Review of Financial Studies,
No. 5,
2011
Abstract
Mortgage lenders that concentrate in a few markets invest more in information collection than diversified lenders. Concentrated lenders focus on the information-intensive jumbo market and on high-risk borrowers. They are better positioned to price risks and, thus, ration credit less. Adverse selection, however, leads to higher retention of mortgages relative to diversified lenders. Finally, concentrated lenders have higher profits than diversified lenders, their profits vary less systematically, and their stock prices fell less during the 2007—2008 credit crisis. The results imply that geographic diversification led to a decline in screening by lenders, which likely played a role in the 2007–2008 crisis.
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Corporate Venture Capital, Value Creation, and Innovation
Thomas J. Chemmanur, Elena Loutskina, Xuan Tian
Review of Financial Studies,
No. 8,
2014
Abstract
We analyze how corporate venture capital (CVC) differs from independent venture capital (IVC) in nurturing innovation in entrepreneurial firms. We find that CVC-backed firms are more innovative, as measured by their patenting outcome, although they are younger, riskier, and less profitable than IVC-backed firms. Our baseline results continue to hold in a propensity score matching analysis of IPO firms and a difference-in-differences analysis of the universe of VC-backed entrepreneurial firms. We present evidence consistent with two possible underlying mechanisms: CVC's greater industry knowledge due to the technological fit between their parent firms and entrepreneurial firms and CVC's greater tolerance for failure.
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Befristete Beschäftigung, berufliche Weiterbildung und ihre Finanzierung
Eva Dettmann
Working Paper des Rates für Sozial- und Wirtschaftsdaten Nr. 14/2007,
2007
Abstract
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Subsidized Vocational Training: Stepping Stone or Trap? An Evaluation Study for East Germany
Eva Dettmann, Jutta Günther
IWH Discussion Papers,
No. 21,
2009
Abstract
The aim of this paper is to analyze whether the formally equal qualifications acquired during a subsidized vocational education induce equal employment opportunities compared to regular vocational training. Using replacement matching on the basis of a statistical distance function, we are able to control for selection effects resulting from different personal and profession-related characteristics, and thus, to identify an unbiased effect of the public support. Besides the ‘total effect’ of support, it is of special interest if the effect is stronger for subsidized youths in external training compared to persons in workplace-related training. The analysis is based on unique and very detailed data, the Youth Panel of the Halle Centre for Social Research (zsh).
The results show that young people who successfully completed a subsidized vocational education are disadvantaged regarding their employment opportunities even when controlling for personal and profession-related influences on the employment prospects. Besides a quantitative effect, the analysis shows that the graduates of subsidized training work in slightly worse (underqualified) and worse paid jobs than the adolescents in the reference group. The comparison of both types of subsidized vocational training, however, does not confirm the expected stronger effect for youths in external vocational education compared to workplace-related training.
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Is there a Superior Distance Function for Matching in Small Samples?
Eva Dettmann, Claudia Becker, Christian Schmeißer
Abstract
The study contributes to the development of ’standards’ for the application of matching algorithms in empirical evaluation studies. The focus is on the first step of the matching procedure, the choice of an appropriate distance function. Supplementary o most former studies, the simulation is strongly based on empirical evaluation ituations. This reality orientation induces the focus on small samples. Furthermore, ariables with different scale levels must be considered explicitly in the matching rocess. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, in the simulation, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametrical scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better
choice for summarising similarities in differently scaled variables compared to the
commonly used measures.
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Determinanten ausländischer FuE-Aktivität in Deutschland und der EU27
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra, Philipp Marek, A. Gumpert
Internationale FuE-Standorte. Studien zum deutschen Innovationssystem Nr. 11-2013,
No. 11,
2013
Abstract
Obwohl es sich grundsätzlich um kein neues Phänomenhandelt, so hat in den letzten beiden Jahrzehnten die Internationalisierung von Forschungund Entwicklung (FuE) deutlich zugenommen. So zeigen z. B. Untersuchungen der OECD, dass die FuE-Ausgaben ausländischer Tochterunternehmen in der Periode zwischen 1995 und2003 doppelt so schnell angestiegen sind wie ihr Umsatz oder die aggregierten Importe des Gastlandes. Dies deutet darauf hin, dass FuE zu den dynamischen Elementen der Globalisierung gehört. Allerdings steht der Grad der FuE-Internationalisierung dem der Produktion oft noch nach, wenn man zumindest unterschiedliche Bereiche des Verarbeitenden Gewerbes in EU und OECD-Ländern betrachtet.
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Determinants of Foreign Technological Activity in German Regions – A Count Model Analysis of Transnational Patents
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra
Foresight-Russia,
No. 1,
2014
Abstract
Most research on R&D internationalisation focuses on comparative analysis of location factors at the national level of analysis. Very little work, however, has taken place in this field for the sub-national regional location behavior of multi-national enterprises (MNE). The paper contributes to the existing research by providing evidence on the determinants of foreign technological activities at the sub-national level for Germany, which hosts the largest share of foreign R&D within the EU27 and features the highest cross-regional dispersion of patented research. Using a pooled count data model, we estimate the effect of various sources for externalities on the extent of foreign technological activity across regions. Particular attention is paid to the role of local knowledge spillovers, technological specialization and diversification. We differentiate foreign and domestic sources of specialisation and account for region and sector-specific influences. This is the first time that the ‘cross-border-ownership’ principle to measure R&D internationalisation is combined with regionalised patent information.
To verify our findings we develop hypotheses. In particular, we expect and find that foreign technological activity is attracted by technologically specialised sectors of regions. In contrast to current empirical work, this effect applies both to foreign as well as domestic sources of specialization, although effects on foreign specialization seem more significant. We expect and find the same for science-industry spillovers. We postulate a negative impact of domestic specialization on foreign technological activities and a strong positive effect from diversificationspillovers, by comparison with specialisation spillovers, but these hypotheses are rejected. We find that the direction of the specialisation effect depends on dominance in the position of domestic firms as well as on the balance of knowledge flows between them and foreign actors.
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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
Abstract
>>A completely revised version of this paper has been published as: Dettmann, Eva; Giebler, Alexander; Weyh, Antje: flexpaneldid. A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration. IWH Discussion Paper 3/2020. Halle (Saale) 2020.<<
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) and its Stata implementation, the command flexpaneldid. The approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations (like investment grants or other subsidy schemes). Introducing more flexibility enables the user to consider individual treatment and outcome periods for the treated observations. The flexpaneldid command for panel data implements the developed flexible difference-in-differences approach and commonly used alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to include time information into the matching approach and the treatment effect estimation. The core of the paper gives two comprehensive examples to explain the use of flexpaneldid and its options on the basis of a publicly accessible data set.
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