Measuring the influence of information networks on transaction costs using a non-parametric regression technique

Publikation: Konferencebidrag › Paper › Forskning

Standard

Measuring the influence of information networks on transaction costs using a non-parametric regression technique. / Henningsen, Geraldine; Henningsen, Arne; Henning, Christian H. C. A.

2011. Paper præsenteret ved Congress of the European Association of Agricultural Economists 2011, Zürich, Schweiz.

Publikation: Konferencebidrag › Paper › Forskning

Harvard

Henningsen, G, Henningsen, A & Henning, CHCA 2011, 'Measuring the influence of information networks on transaction costs using a non-parametric regression technique', Paper fremlagt ved Congress of the European Association of Agricultural Economists 2011, Zürich, Schweiz, 30/08/2011 - 02/09/2011. <http://purl.umn.edu/114547>

APA

Henningsen, G., Henningsen, A., & Henning, C. H. C. A. (2011). Measuring the influence of information networks on transaction costs using a non-parametric regression technique. Paper præsenteret ved Congress of the European Association of Agricultural Economists 2011, Zürich, Schweiz. http://purl.umn.edu/114547

Vancouver

Henningsen G, Henningsen A, Henning CHCA. Measuring the influence of information networks on transaction costs using a non-parametric regression technique. 2011. Paper præsenteret ved Congress of the European Association of Agricultural Economists 2011, Zürich, Schweiz.

Author

Henningsen, Geraldine ; Henningsen, Arne ; Henning, Christian H. C. A. / Measuring the influence of information networks on transaction costs using a non-parametric regression technique. Paper præsenteret ved Congress of the European Association of Agricultural Economists 2011, Zürich, Schweiz.13 s.

Bibtex

@conference{2d706c31aeba48a3a7fd1fe8bef26f9a,
title = "Measuring the influence of information networks on transaction costs using a non-parametric regression technique",
abstract = "All business transactions as well as achieving innovations take up resources, subsumed under the concept of transaction costs (TAC). One of the major factors in TAC theory is information. Information networks can catalyse the interpersonal information exchange and hence, increase the access to nonpublic information. Our analysis shows that information networks have an impact on the level of TAC. Many resources that are sacrificed for TAC are inputs that also enter the technical production process. As most production data do not separate between these two usages of inputs, high transaction costs are unveiled by reduced productivity. A cross-validated local linear non-parametric regression shows that good information networks increase the productivity of farms. A bootstrapping procedure confirms that this result is statistically significant.",
author = "Geraldine Henningsen and Arne Henningsen and Henning, {Christian H. C. A.}",
year = "2011",
language = "English",
note = "Congress of the European Association of Agricultural Economists 2011 ; Conference date: 30-08-2011 Through 02-09-2011",

}

RIS

TY - CONF

T1 - Measuring the influence of information networks on transaction costs using a non-parametric regression technique

AU - Henningsen, Geraldine

AU - Henningsen, Arne

AU - Henning, Christian H. C. A.

PY - 2011

Y1 - 2011

N2 - All business transactions as well as achieving innovations take up resources, subsumed under the concept of transaction costs (TAC). One of the major factors in TAC theory is information. Information networks can catalyse the interpersonal information exchange and hence, increase the access to nonpublic information. Our analysis shows that information networks have an impact on the level of TAC. Many resources that are sacrificed for TAC are inputs that also enter the technical production process. As most production data do not separate between these two usages of inputs, high transaction costs are unveiled by reduced productivity. A cross-validated local linear non-parametric regression shows that good information networks increase the productivity of farms. A bootstrapping procedure confirms that this result is statistically significant.

AB - All business transactions as well as achieving innovations take up resources, subsumed under the concept of transaction costs (TAC). One of the major factors in TAC theory is information. Information networks can catalyse the interpersonal information exchange and hence, increase the access to nonpublic information. Our analysis shows that information networks have an impact on the level of TAC. Many resources that are sacrificed for TAC are inputs that also enter the technical production process. As most production data do not separate between these two usages of inputs, high transaction costs are unveiled by reduced productivity. A cross-validated local linear non-parametric regression shows that good information networks increase the productivity of farms. A bootstrapping procedure confirms that this result is statistically significant.

M3 - Paper

T2 - Congress of the European Association of Agricultural Economists 2011

Y2 - 30 August 2011 through 2 September 2011

ER -

ID: 35162740