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| 001 | 9783110660739 | ||
| 003 | DE-B1597 | ||
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| 020 | _a9783110660739 | ||
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_a10.1515/9783110660739 _2doi |
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| 035 | _z(OCoLC)1280943002 | ||
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_aDE-B1597 _beng _cDE-B1597 _erda |
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_aBUS _x021000 _2bisacsh |
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| 100 | 1 |
_aVerbeek, Marno, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 0 | 0 |
_aPanel Methods for Finance : _bA Guide to Panel Data Econometrics for Financial Applications / _cMarno Verbeek. |
| 264 | 1 |
_aBerlin _aBoston _bDe Gruyter, _c[2021] |
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| 264 | 4 | _c©2021 | |
| 300 | _a1 online resource (XVI, 280 p.) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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_aDe Gruyter Studies in the Practice of Econometrics , _x2570-0928 ; _v1 |
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| 505 | 0 | 0 |
_tFrontmatter -- _tPreface -- _tAcknowledgments -- _tContents -- _tAcronyms -- _t1 Introduction -- _t2 Linear static models -- _t3 Dealing with heterogeneity and endogeneity: fixed effects, IV and GMM -- _t4 Outliers, missing values and other data issues -- _t5 Linear dynamic models -- _t6 Models with limited dependent variables -- _t7 Estimating average treatment effects -- _tBibliography -- _tIndex |
| 506 | 0 |
_arestricted access _uhttp://purl.org/coar/access_right/c_16ec _fonline access with authorization _2star |
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| 520 | _aFinancial data are typically characterised by a time-series and cross-sectional dimension. Accordingly, econometric modelling in finance requires appropriate attention to these two - or occasionally more than two - dimensions of the data. Panel data techniques are developed to do exactly this. This book provides an overview of commonly applied panel methods for financial applications, including popular techniques such as Fama-MacBeth estimation, one-way, two-way and interactive fixed effects, clustered standard errors, instrumental variables, and difference-in-differences. Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications by Marno Verbeek offers the reader: Focus on panel methods where the time dimension is relatively small A clear and intuitive exposition, with a focus on implementation and practical relevance Concise presentation, with many references to financial applications and other sources Focus on techniques that are relevant for and popular in empirical work in finance and accounting Critical discussion of key assumptions, robustness, and other issues related to practical implementation | ||
| 530 | _aIssued also in print. | ||
| 532 | 8 | _aThe accessibility of this resources in unknown or unassessed. | |
| 538 | _aMode of access: Internet via World Wide Web. | ||
| 545 | _aMarno Verbeek, Erasmus University, The Netherlands | ||
| 546 | _aIn English. | ||
| 588 | 0 | _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed March 03 2026) | |
| 650 | 7 |
_aBUSINESS & ECONOMICS / Econometrics. _2bisacsh |
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| 653 | 0 | _aApplied Econometrics | |
| 653 | 0 | _aEmpirical Finance | |
| 653 | 0 | _aResearch Methods | |
| 653 | 0 | _aPanel Data | |
| 653 | 0 | _aApplied Econometrics | |
| 653 | 0 | _aEmpirical Finance | |
| 653 | 0 | _aResearch Methods | |
| 653 | 0 | _aPanel Data | |
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