Arbeitspapier

Can random coefficient Cobb-Douglas production functions be aggregated to similar macro functions?

Parametric aggregation of heterogeneous micro production technologies is discussed. A four-factor Cobb-Douglas function with normally distributed firm specific coefficients and with log-normal inputs (which agrees well with the available data) is speciffied. Since, if the number of micro units is large enough, aggregates expressed as arithmetic means can be associated with expectations, we consider conditions ensuring an approximate relation of Cobb-Douglas form to exist between expected output and expected inputs. Similar relations in higher-order moments are also derived. It is shown how the aggregate input elasticities depend on the coefficient heterogeneity and the co-variance matrix of the log-input vector and hence vary over time. An implementation based on firm panel data for two manufacturing industries gives estimates of industry level input elasticities and decomposition for expected output. Finally, aggregation errors which emerge when the correct aggregate elasticities are replaced by the expected micro elasticities, are explored.

Sprache
Englisch

Erschienen in
Series: Memorandum ; No. 2004,22

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Index Numbers and Aggregation; Leading indicators
Firm Behavior: Theory
Production, Pricing, and Market Structure; Size Distribution of Firms
Thema
Productivity
Panel
Data
Random
coefficients
Log-normal
distribution
Aggregate
production
function
Cobb-Douglas-Produktionsfunktion
Produktivität
Produktionsfunktion
Theorie

Ereignis
Geistige Schöpfung
(wer)
Biørn, Erik
Skjerpen, Terje
Wangen, Knut R.
Ereignis
Veröffentlichung
(wer)
University of Oslo, Department of Economics
(wo)
Oslo
(wann)
2004

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Biørn, Erik
  • Skjerpen, Terje
  • Wangen, Knut R.
  • University of Oslo, Department of Economics

Entstanden

  • 2004

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