000 03506nam a22005055i 4500
001 978-3-642-22901-5
003 DE-He213
005 20140220083300.0
007 cr nn 008mamaa
008 120103s2012 gw | s |||| 0|eng d
020 _a9783642229015
_9978-3-642-22901-5
024 7 _a10.1007/978-3-642-22901-5
_2doi
050 4 _aHT388
050 4 _aHD28-9999
072 7 _aKCP
_2bicssc
072 7 _aGTB
_2bicssc
072 7 _aBUS067000
_2bisacsh
082 0 4 _a338.9
_223
100 1 _aMitze, Timo.
_eauthor.
245 1 0 _aEmpirical Modelling in Regional Science
_h[electronic resource] :
_bTowards a Global Time‒Space‒Structural Analysis /
_cby Timo Mitze.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXIII, 339p. 74 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Economics and Mathematical Systems,
_x0075-8442 ;
_v657
505 0 _a1 Introduction and Outline -- Part I: Internal Migration and the Labor Market -- 2 Panel VAR for Internal Migration Modelling -- 3 Testing the Neoclassical Migration Model -- 4 Space-Time Dependence in Migration Flows -- Part II: Trade and FDI Activity -- 5 Trade-FDI Linkages -- 6 Estimating Gravity Models: To IV or not IV? -- 7 Cointegration in German Regional  Output-Trade-FDI -- Part III: Growth, Factor and Final Demand -- 8 Dynamic Simultaneous Equations with Panel Data -- 9 Effects of Capital Investment Grants on Regional Growth -- 10 Dynamic Consumption Models for German States.
520 _aEconomic agents interact in structural relationships through time and space. This work starts from the empirical observation that all three dimensions, namely time, space, and structural functional forms, are important for an integrative framework of modern empirical analysis in regional science. The work thus aims at combining up-to-date econometric tools from the fields of spatial econometrics, panel time-series analysis and structural simultaneous equation modelling to analyse the different research questions at hand. Most of the topics dealt within this work start from a concrete empirical problem, while problem solving also aims at generating some new knowledge in a methodological way, e.g. by the complementary use of Monte Carlo simulation studies to compare the empirical performance of different estimators for specific data samples. Following a first introductory chapter, the work is structured in three parts addressing major issues in building up a stylized regional economic model such as interregional migration, factor and final demand estimation. All empirical applications use German regional data.
650 0 _aEconomics.
650 0 _aGeography.
650 0 _aEconomics
_xStatistics.
650 0 _aRegional economics.
650 1 4 _aEconomics/Management Science.
650 2 4 _aRegional/Spatial Science.
650 2 4 _aEconomic Geography.
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642229008
830 0 _aLecture Notes in Economics and Mathematical Systems,
_x0075-8442 ;
_v657
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-22901-5
912 _aZDB-2-SBE
999 _c102099
_d102099