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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Forecasting paper industry prices in the United States : the economic determinants of market pricing

Kerschner, Stacie J. 05 1900 (has links)
No description available.
2

Government regulation of kraft paper prices, 1940-1942 : a study of an administration process

Schwartz, Martin David January 1961 (has links)
There is no abstract available for this thesis.
3

Influence of Firm Structure on Profitability in the U.S. Pulp and Paper Industry (1960-1998)

Suleman, Kanwar Muhammad January 2003 (has links) (PDF)
No description available.
4

Factors Affecting Raw Material Inventory Management in the Northeastern United States Pulp and Paper Industry

Todd, Kevin Michael January 2004 (has links) (PDF)
No description available.
5

Price Behavior of Paper and Paperboard Industry

Zhang, Feng 13 July 2004 (has links)
This paper presents a model of the probability of price response to the previous periods inventory absolute and relative level for U.S. paper and paperboard industry. The initial part of the paper contains a theoretical analysis of the phenomenon. The proposed framework indicates that the inventory level plays an important leading role in the price adjustment. The model is then estimated with monthly data extending from 1980 to 1999. The LPM and Probit models are used to estimate the effect of absolute and relative inventory level on the probability of price variations. The estimated results are in agreement with the oligopolistic market condition of U.S. paper and paperboard industry, showing the price upward adjustment is sticker and rigid than the price downward adjustment while the output level is indifferent to the previous months inventory fluctuation.

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