nach oben

Erschienen in:

2018 | OriginalPaper | Buchkapitel

3. Scale

verfasst von : Darren Grant

Erschienen in: Methods of Economic Research

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This chapter introduces the concept of scale as it is used in other disciplines, as an indicator of magnitude. It shows how economists can utilize this concept to add clarity, simplicity, and insight to their research. Applications to the incidental parameters problem, the Slutsky Equation, Mincer’s wage equation, mortality dynamics, and more elucidate the power of scale analysis, both theoretically and empirically.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Systems

Nächstes Kapitel Vernacular Knowledge

Nur mit Berechtigung zugänglich

This conclusion is stated in relative terms, but a similar conclusion also holds in absolute terms, assuming that a difference in demand elasticities of 0.1 matters little.

Sampling variance is sometimes documented by the surveyor, or is easily estimated from the micro data. If the standard deviation of the N _j individual observations in state*year cell j is σ_j, then the sampling variance in that unit is σ² _j/(N _j-1); averaging these terms across all state*year cells yields the “average sampling variance.” As sampling error is independent of the random effect , this value and var(ξ) sum to the variance of the residual. Solon et al. (2015) mention some recent studies that reached erroneous conclusions because of the inappropriate use of WLS and present more general ways to address this issue.

I don’t know if this has happened in practice, however, and I’m scared to look and see.

One only because of a major data error (Swan, 1980)

Blomberg R, Peck R, Moskowitz H, Burns M, Fiorentino D (2009) The Long Beach/Fort Lauderdale relative risk study. J Saf Res 40(4):285–292CrossRef

Cameron AC, Trivedi PK (2005) Microeconometrics: methods and applications. Cambridge University Press, CambridgeCrossRef

Gavrilov LA, Gavrilova NS (2001) The reliability theory of aging and longevity. J Theor Biol 213(4):527–545CrossRef

Grant D (1999) Recycling and market power: a more general model and re-evaluation of the evidence. Int J Ind Organ 17(1):59–80CrossRef

Lewis M (2003) Moneyball: the art of winning an unfair game. WW Norton & Company, New York

Mincer J (1974) Schooling, experience, and earnings. University of Michigan Press, Ann Arbor, MI

Mincer J (1975) Education, experience, and the distribution of earnings and employment: an overview. In: Juster FT (ed) Education, income, and human behavior. National Bureau of Economic Research, Boston, pp 71–94

Pedlosky J (1979) Geophysical fluid dynamics. Springer, New YorkCrossRef

Solon G, Haider S, Wooldridge J (2015) What are we weighting for? J Hum Resour 50(2):301–316CrossRef

Swan PL (1980) Alcoa: the influence of recycling on monopoly power. J Polit Econ 88(1):76–99CrossRef

Titel: Scale
verfasst von: Darren Grant
Verlag: Springer International Publishing
Buch: Methods of Economic Research
Print ISBN: 978-3-030-01733-0

Electronic ISBN: 978-3-030-01734-7

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-01734-7_3