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Titlebook: Investment and Liquidity Constraints; Empirical Evidence f Andreas Behr Book 2003 Deutscher Universitäts-Verlag/GWV Fachverlage GmbH, Wiesb

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书目名称Investment and Liquidity Constraints
副标题Empirical Evidence f
编辑Andreas Behr
视频video
丛书名称neue betriebswirtschaftliche forschung (nbf)
图书封面Titlebook: Investment and Liquidity Constraints; Empirical Evidence f Andreas Behr Book 2003 Deutscher Universitäts-Verlag/GWV Fachverlage GmbH, Wiesb
描述During the last decade exploring the link between financial factors and investment has become a major field of theoretical and empirical publications. Firms in a weak financial position cannot raise capital at conditions that allow financing all profitable investment projects. Some empirical findings indicate that young, fast growing, low dividend paying firms face more liquidity constraints compared to other firms and therefore exhibit stronger reactions in investment to changes of their internal financial flow. If the credit conditions of firms will be influenced through expansionary or rather restrictive monetary conditions the cycle of real activity might be accelerated through these monetary conditions and the final effects might exceed the pure effects of the interest channel alone. In the analysis in hand the role of financial factors in the firm‘s investment decision is explored within the framework of the Q-theory of investment. The Q-theory is applied to a large database of German firms, covering balance sheet data for 2,314 German firms, thereof 1,342 manufacturing firms. This database, the Deutsche Bundesbank‘s Corporate Balance Sheet Statistics, gives the unique opport
出版日期Book 2003
关键词Dynamic Models; Funds; Investment; Liquidität; Panel Data; Q-Theory; VAR; neue betriebswirtschafliche forsc
版次1
doihttps://doi.org/10.1007/978-3-322-82010-5
isbn_softcover978-3-8244-9127-8
isbn_ebook978-3-322-82010-5Series ISSN 0175-8802 Series E-ISSN 2945-8129
issn_series 0175-8802
copyrightDeutscher Universitäts-Verlag/GWV Fachverlage GmbH, Wiesbaden 2003
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Dynamic panel data estimation,In this chapter we discusses methods of dynamic panel data estimation. It is well known that the use of the lagged dependent variable as a right hand side variable introduces specific estimation problems, especially the fixed effects estimator becoming biased.
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978-3-8244-9127-8Deutscher Universitäts-Verlag/GWV Fachverlage GmbH, Wiesbaden 2003
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Introduction,ent. The .-theory we apply to a large database of German firms, covering balance sheet data for 2,314 German firms, thereof 1,342 manufacturing firms. This database, the Deutsche Bundesbank’s Corporate Balance Sheet Statistics, gives the unique opportunity to analyze heterogeneity at the firm level,
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Empirical findings,e into account the resulting bias when using the lagged endogenous variable.. We prefer the direct bias correction method compared to instrumentation for two reasons. First, when analyzing different estimators, simulation studies (Kiviet (1995), Judson and Owen (1999), Hansen (2001)) find a correcte
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