000			03262nam a22004335i 4500
001			978-1-4614-1653-1
003			DE-He213
005			20200420211747.0
007			cr nn 008mamaa
008			120801s2013 xxu| s |||| 0|eng d
020			_a9781461416531 _9978-1-4614-1653-1
024	7		_a10.1007/978-1-4614-1653-1 _2doi
050		4	_aHB1-846.8
072		7	_aKCA _2bicssc
072		7	_aBUS069030 _2bisacsh
082	0	4	_a330.1 _223
245	1	0	_aRecent Advances and Future Directions in Causality, Prediction, and Specification Analysis _h[electronic resource] : _bEssays in Honor of Halbert L. White Jr / _cedited by Xiaohong Chen, Norman R. Swanson.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aXXXIV, 562 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aThis book is a collection of articles that present the most recent cutting edge results on specification and estimation of economic models written by a number of the world's foremost leaders in the fields of theoretical and methodological econometrics. Recent advances in asymptotic approximation theory, including the use of higher order asymptotics for things like estimator bias correction, and the use of various expansion and other theoretical tools for the development of bootstrap techniques designed for implementation when carrying out inference are at the forefront of theoretical development in the field of econometrics. One important feature of these advances in the theory of econometrics is that they are being seamlessly and almost immediately incorporated into the "empirical toolbox" that applied practitioners use when actually constructing models using data, for the purposes of both prediction and policy analysis and the more theoretically targeted chapters in the book will discuss these developments. Turning now to empirical methodology, chapters on prediction methodology will focus on macroeconomic and financial applications, such as the construction of diffusion index models for forecasting with very large numbers of variables, and the construction of data samples that result in optimal predictive accuracy tests when comparing alternative prediction models. Chapters carefully outline how applied practitioners can correctly implement the latest theoretical refinements in model specification in order to "build" the best models using large-scale and traditional datasets, making the book of interest to a broad readership of economists from theoretical econometricians to applied economic practitioners.
650		0	_aEconomic theory.
650		0	_aEconomic policy.
650	1	4	_aEconomics.
650	2	4	_aEconomic Theory/Quantitative Economics/Mathematical Methods.
650	2	4	_aEconomic Policy.
700	1		_aChen, Xiaohong. _eeditor.
700	1		_aSwanson, Norman R. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461416524
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-1653-1
912			_aZDB-2-SBE
942			_cEBK
999			_c51018 _d51018