LEADER 03612nam 22005775 450 001 9910726294003321 005 20240305160826.0 010 $a9783031274923 024 7 $a10.1007/978-3-031-27492-3 035 $a(CKB)26748272500041 035 $a(MiAaPQ)EBC7248745 035 $a(Au-PeEL)EBL7248745 035 $a(DE-He213)978-3-031-27492-3 035 $a(BIP)087962736 035 $a(EXLCZ)9926748272500041 100 $a20230511d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aForecasting from Multi-equation Econometric Micromodels /$fby Jerzy Witold Wi?niewski 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (153 pages) 225 1 $aContributions to Economics,$x2197-7178 311 1 $a9783031274916 320 $aIncludes bibliographical references. 327 $aChapter 1. Single-equation Econometric Model -- Chapter 2. Multi-equation Econometric Models -- Chapter 3. Econometric Forecasts -- Chapter 4. Forecasting From Simple Econometric Micromodels -- Chapter 5. Forecasts From Recursive Econometric Micromodels -- Chapter 6. Forecasting From Econometric Micromodels in the Form of a System of Interdependent Equations. . 330 $aForecasting from multi-equation models has very rarely been the focus in econometric literature. In response, this book presents a range of methodologies to approach this complex field and offers readers essential information on forecasting from multi-equation econometric micromodels. In the twentieth century, significant interest in econometric macromodels emerged. These multi-equation models are mostly systems of interdependent equations, most often used to describe the national economies of various countries. The book analyzes econometric forecasting procedures and illustrates them with empirical examples that are based on real economic (mostly business-derived) data. The procedure of forecast building from systems of interdependent equations is presented for two categories of econometric models: models with a feedback effect and models with closed-loop links between interdependent variables. The forecasts obtained via this technique are compared with the results derived from reduced-form equations of the respective econometric model. The author also generalizes the rules of the reduced-recursive (helical, iterative) procedure application, against the backdrop of the proposed method of forecast building from reduced-form equations of systems of interdependent equations. Given its scope, the book will appeal not only to PhD students and researchers, but also undergraduate students and academics in general. 410 0$aContributions to Economics,$x2197-7178 606 $aEconometrics 606 $aStatistics 606 $aEconometrics 606 $aQuantitative Economics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 610 $aEconometrics 610 $aBusiness & Economics 615 0$aEconometrics. 615 0$aStatistics. 615 14$aEconometrics. 615 24$aQuantitative Economics. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 676 $a330.015195 700 $aWis?niewski$b Jerzy W.$0926953 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910726294003321 996 $aForecasting from multi-equation econometric micromodels$93418499 997 $aUNINA