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020 _a9783031498497
_9978-3-031-49849-7
024 7 _a10.1007/978-3-031-49849-7
_2doi
050 4 _aHB139-141
072 7 _aKCH
_2bicssc
072 7 _aBUS021000
_2bisacsh
072 7 _aKCH
_2thema
245 1 4 _aThe Econometrics of Multi-dimensional Panels
_h[electronic resource] :
_bTheory and Applications /
_cedited by Laszlo Matyas.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXXI, 551 p. 16 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced Studies in Theoretical and Applied Econometrics,
_x2214-7977 ;
_v54
505 0 _aFixed Effects Models -- When and How Much Do Fixed Effects Matter?- Random Effects Models -- Estimation of Sparse Variance-Covariance Matrix -- Models with Endogenous Regressors -- Dynamic Models and Reciprocity -- Random Coefficients Models -- Nonparametric Models with Random Effects -- Nonparametric Models with Fixed Effects -- Multi-dimensional Panels in Quantile Regression Models -- Multi-dimensional Models for Spatial Panels -- The Econometrics of Gravity Models in International Trade -- Modelling Housing Using Multi-dimensional Panel Data -- Modelling Migration -- Multi-dimensional Panels in Health Economics with an Application on Antibiotic Consumption -- Can Machine Learning Beat Gravity in Flow Prediction?
520 _aThis book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. In light of the big data revolution and the emergence of higher dimensional panel data sets, it provides new results to synthesize existing knowledge on the field. The first, theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions. This second extended and revised edition provides an update of all existent chapters to reflect on new developments in the area as well as several new chapters on topics such as machine learning, nonparametric models, networks, and multi-dimensional panels in health economics. The book serves as a standard reference work, a textbook for graduate students in economics, and a source of background material for professionals conducting empirical studies.
650 0 _aEconometrics.
_957695
650 0 _aGame theory.
650 0 _aStatistics .
_965982
650 0 _aSocial sciences
_xMathematics.
_969736
650 0 _aQuantitative research.
650 1 4 _aEconometrics.
_957695
650 2 4 _aQuantitative Economics.
_970330
650 2 4 _aGame Theory.
650 2 4 _aStatistics in Business, Management, Economics, Finance, Insurance.
_969738
650 2 4 _aMathematics in Business, Economics and Finance.
_969739
650 2 4 _aData Analysis and Big Data.
700 1 _aMatyas, Laszlo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_970331
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031498480
776 0 8 _iPrinted edition:
_z9783031498503
776 0 8 _iPrinted edition:
_z9783031498510
830 0 _aAdvanced Studies in Theoretical and Applied Econometrics,
_x2214-7977 ;
_v54
_970332
856 4 0 _uhttps://doi.org/10.1007/978-3-031-49849-7
912 _aZDB-2-ECF
912 _aZDB-2-SXEF
999 _c57414
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