TY - GEN
T1 - A state-of-the-art matrix analysis of economic indicators modeling
AU - Calvo-Amodio, Javier
AU - Del Carmen Temblador Pérez, María
AU - Beruvides, Mario G.
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Literature reviews and compendiums on econometric modeling are vastly available and very detailed. Yet, it is hard to find one that provides a condensed overview of the field and that focuses on models of economic indicators. Most of the available literature reviews cover many applications of econometric modeling at the same time, and focus on underlying philosophies, mathematical/statistical strategies, and/or historical accounts on how econometric ideas evolved. Yet none are all inclusive, and appear biased in one way or another. In this paper, we present a State-of-the-Art Matrix Analysis (SAM) that provides a literature review focused on GDP modeling techniques. The resulting SAM provides a characterized literature review of the existing publications into econometric and economic methodologies employed, and proposes a cataloguing according to the main objective of the publication. The findings presented on this paper, serve as a starting point for engineering managers and researchers that are new to modeling economic indicators. Copyright, American Society for Engineering Management, 2011.
AB - Literature reviews and compendiums on econometric modeling are vastly available and very detailed. Yet, it is hard to find one that provides a condensed overview of the field and that focuses on models of economic indicators. Most of the available literature reviews cover many applications of econometric modeling at the same time, and focus on underlying philosophies, mathematical/statistical strategies, and/or historical accounts on how econometric ideas evolved. Yet none are all inclusive, and appear biased in one way or another. In this paper, we present a State-of-the-Art Matrix Analysis (SAM) that provides a literature review focused on GDP modeling techniques. The resulting SAM provides a characterized literature review of the existing publications into econometric and economic methodologies employed, and proposes a cataloguing according to the main objective of the publication. The findings presented on this paper, serve as a starting point for engineering managers and researchers that are new to modeling economic indicators. Copyright, American Society for Engineering Management, 2011.
KW - Business cycle
KW - Econometrics
KW - Economic indicators
KW - Economic modeling
KW - Engineering management
KW - GDP estimation
KW - Growth theory
UR - http://www.scopus.com/inward/record.url?scp=84879990840&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84879990840
SN - 9781618393616
T3 - Annual International Conference of the American Society for Engineering Management 2011, ASEM 2011
SP - 581
EP - 588
BT - Annual International Conference of the American Society for Engineering Management 2011, ASEM 2011
Y2 - 19 October 2011 through 22 October 2011
ER -