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      Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications

      2 in stock

      Firm sale: non returnable item
      SKU 9783110660135 Categories ,
      Financial 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 ...

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      Description

      Product ID:9783110660135
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Series:De Gruyter Studies in the Practice of Econometrics
      Title:Panel Methods for Finance
      Subtitle:A Guide to Panel Data Econometrics for Financial Applications
      Authors:Author: Marno Verbeek
      Page Count:296
      Subjects:Econometrics and economic statistics, Econometrics, Finance and the finance industry, Finance
      Description:Financial 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
      Imprint Name:De Gruyter
      Publisher Name:De Gruyter
      Country of Publication:GB
      Publishing Date:2021-11-08

      Additional information

      Weight504 g
      Dimensions171 × 242 × 31 mm