000			03400nam a2200229 4500
005			20251017221608.0
008			251017b |||||||| |||| 00| 0 eng d
020			_a9780367540784
082			_a338.90015118 _bPIP
245			_aEmpirical macroeconomics and statistical uncertainty: _bspatial and temporal disaggregation of regional economic indicators
260			_aNew York _bRoutledge _c2022
300			_avii, 111 p.
365			_aEURO _b41.99
490			_aRoutledge Studies in the European Economy
500			_aTable of contents: List of figures List of tables 1 Introduction 2 Importance of regional data for policy evaluation 3 A review of official statistics describing economic conditions in NUTS-2 regions in Poland 4 Basic properties of the model of Seemingly Unrelated Regression Equations 5 NUTS-2 disaggregation of the Polish GDP: preliminary analyses within SUREdiag 6 NUTS-2 disaggregation of the Polish GDP: including other explanatory variables 7 Concluding remarks Bibliography Index [https://www.routledge.com/Empirical-Macroeconomics-and-Statistical-Uncertainty-Spatial-and-Temporal-Disaggregation-of-Regional-Economic-Indicators/Pipien-Roszkowska/p/book/9780367540784]
520			_aThis book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation. The empirical analysis focuses mainly on GDP and its growth in the context of Poland. However, all of the methods discussed can be easily applied to other countries. The approach used in the book views spatial and temporal disaggregation as a special case of the estimation of missing observations (a topic on missing data analysis). The book presents an econometric course of models of Seemingly Unrelated Regression Equations (SURE). The main advantage of using the SURE specification is to tackle the presented research problem so that it allows for the heterogeneity of the parameters describing relations between macroeconomic indicators. The book contains model specification, as well as descriptions of stochastic assumptions and resulting procedures of estimation and testing. The method also addresses uncertainty in the estimates produced. All of the necessary tests and assumptions are presented in detail. The results are designed to serve as a source of invaluable information making regional analyses more convenient and – more importantly – comparable. It will create a solid basis for making conclusions and recommendations concerning regional economic policy in Poland, particularly regarding the assessment of the economic situation. This is essential reading for academics, researchers, and economists with regional analysis as their field of expertise, as well as central bankers and policymakers (https://www.routledge.com/Empirical-Macroeconomics-and-Statistical-Uncertainty-Spatial-and-Temporal-Disaggregation-of-Regional-Economic-Indicators/Pipien-Roszkowska/p/book/9780367540784)
650			_aMacroeconomics--Statistical _925646
650			_aEmpirical analysis _925647
700			_aPipień, Mateusz, [Editor] _925648
700			_aRoszkowska, Sylwia [Editor] _925649
942			_cBK _2ddc
999			_c10150 _d10150