econometric model of hardwood lumber and stumpage markets in the United States
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Hardwoods -- United States -- Marketing., Lumber trade -- United St
|Statement||by William J. Lange.|
|The Physical Object|
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AN ECONOMETRIC MODEL OF HARDWOOD STUMPAGE MARKETS IN THE SOUTHCENTRAL UNITED STATES () V.L. An econom e tric model of softwood lumber and stumpage markets, Title: An Econometric Model of Hardwood Lumber and Stumpage Markets in the United States abstract approved: a Signature redacted for privacy.
Darius M. Adams Two econometric models were developed to forecast consumption, production, and price of hardwood lumber, and removals and price of hardwood sawlog stumpage.
Four eastern U.S. regions. Two econometric models were developed to forecast consumption, production, and price of hardwood lumber, and removals and price of hardwood sawlog stumpage.
Four eastern U.S. regions were represented in the models. Abstract This study investigates the supply and demand structure of the hardwood stumpage market in the South Central United States for the period Three stage least squares regression is used to estimate parameters in a simultaneous equations model of pulpwood and sawtimber stumpage markets for mixed hardwoods, oak, and total hardwoods.
Econometric model of the hardwood lumber market (OCoLC) Online version: Luppold, William G. Econometric model of the hardwood lumber market (OCoLC) Material Type: Government publication, National government publication: Document Type: Book: All Authors / Contributors: William G Luppold; Northeastern Forest Experiment Station.
Only a few studies have estimated the hardwood stumpage and lumber markets. Lange () developed econometric models to study hardwood lumber and stumpage markets in the eastern United States.
Luppold () and Cardellichio and Binkley () conducted econometric studies of the US hardwood lumber market by end-use sectors. Econometric model of the hardwood lumber market (OCoLC) Microfiche version: Luppold, William G. Econometric model of the hardwood lumber market (OCoLC) Material Type: Document, Government publication, National government publication, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors.
Abstract. An 8-equation econometric model of the markets for Douglas-fir and southern pine stumpage and lumber was estimated and then simulated over the 21.
Introduction. Rich forest resources in the United States have supported large timber markets and related manufacturing activities. There are million acres of forestlands in the United States, resulting in a forest coverage of 33% (Smith et al., ).These forests are owned and managed by a number of public agencies and over 10 million private forest landowners.
This study presents results of statistical tests for stumpage market integration on 62 national forests in the Western United States. Quarterly stumpage prices from to obtained from cut.
DATA The data for the reduced form estimates of North Carolina's stumpage supply and demand are: (1) a measure of combined hardwood and soft- wood stumpage harvest; (2) a weighted average stumpage price; (3) a relative price index for finished goods (lumber and wood products); and (4) the standing timber inventory.
Abstract Although the hardwood timber market is an important segment of the forest industry in the United States, little attention has been paid to modeling hardwood stumpage and lumber markets. Top five hardwood lumber-exporting countries* % % % United States United States United States France China Belgium Yugoslavia Canada Russia Canada France Romania Germany Romania Germany Top 5 Top 5 Top 5 * Temperate Region.
), softwood lumber and stumpage markets (Robinson ), and hardwood lumber (Luppold ) treated the entire U.S. as a single market. The southe rn U.S. was treated as one market in an econometric analysis of softwood stumpage (Newman ).
The implicit assumption is that if the markets are integrated at a national or regional level, price. of hardwood lumber consumption published every 5 years in the Census of Manufacturers are not developed by species.
However, it may be possible to analyze market relationships us-ing economic theory combined with a histor-ical overview of hardwood markets.
In this paper we analyze the relationship of lumber and stumpage prices of four important. Top 4 Hardwood Lumber Species for Demand and Rising Prices: Ash Lumber: While Ash lumber pricing has steadied, this species is now at one of its highest price levels ever.
Despite concerns about the emerald ash borer damaging ash timber resources, the supply of ash stumpage has been plentiful due to the continued acceleration of harvests and demand remains as strong as ever. A recursive econometric model with causal flow originating from the demand relationship is used to analyze the effects of exogenous variables on quantity and price of hardwood lumber.
Wage rates, interest rates, stumpage price, lumber exports, and price of lumber demanders' output were the major factors influencing quantities demanded and supplied and hardwood lumber price.
The paper presents an econometric analysis of spatial integration of the United States and Canadian newsprint markets as reflected in newsprint prices.
Details econometric model of hardwood lumber and stumpage markets in the United States PDF
It applies the Johansen multivariate cointegration procedure to test the law of one price for five regional markets (British Columbia, Ontario, Quebec, US east, and US west) of newsprint using.
An examination of the relationships between hardwood lumber and stumpage prices in Ohio. Wood and Fiber Science. 30(3): Keywords: lumber, hard maple, hardwood lumber prices, hardwood market history, hardwood stumpage prices, market margin, red oak, white oak, yellow-poplar, market; Posted Date: April 1, ; Modified Date: October 5, Adams DM, Haynes RW () A model of national forest timber supply and stumpage markets in the western United States.
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Forest Sci 35(2) Google Scholar Adams DM, Haynes RW () The timber assessment market model: structure, projections and policy simulations. U.S. hardwood lumber consumption by market segment* 48 50 50 46 36 36 40 38 39 43 54 51 13 12 11 11 10 13 Price of 1C lumber versus the price of stumpage in Ohio 70 80 90 exported by the United States Product Percent Role of the United States in Changing Worldwide Hardwood Lumber Production and Markets.
Year: Hardwood markets are increasingly global, and understanding the role U.S. hardwood lumber plays in worldwide consumption and trade is valuable to timber investors, the hardwood industry, resource planners, and market analysts. economic research on the hardwood lumber market, Manuscript received for publication 16 February Abstract A recursive econometric model with causal flow originating from the demand relationship is used to analyze the effects of exogenous variables on quantity and price of hardwood lumber.
Wage rates, inter- est rates, stumpage price, lumber. The South-Central United States, which includes the states of Louisiana, Mississippi, Texas, and Arkansas, represents an important segment of the softwood sawtimber market.
By using the Seemingly Unrelated Regression (SUR) method to account for the linkage among the four contiguous timber markets, this study examines the dynamics of softwood sawtimber stumpage markets within the. An econometric model of the hardwood lumber market.
stumpage price, lumber exports, and price of lumber demanders' output were the major factors influencing quantities demanded and supplied and hardwood Author(s): William G. Luppold The future of housing in the United States: an econometric model of long-term predictions for the HMR Executive® picks up where Hardwood Market Report® ends by exploring ideas and issues [ ] Learn more > Subscribe Now Login Now.
TOOLS & RESOURCES. Hardwood Wizard. A powerful search engine created specifically for the hardwood industry READ MORE. Historical Pricing. The Pennsylvania Woodlands' Timber Market Report gives prices paid in the Commonwealth of Pennsylvania for standing timber (stumpage) and for logs delivered to sawmills.
Prices are reported quarterly for each of four regions sincewith prices reported for hardwood and softwood pulpwood and for sawtimber for a variety of species groups.
models [23,24], which reported that using a south-wide single regional markets for both hardwood and softwood stumpage might lead to biased elasticity based forecasts and poor policy prescriptions if applied to individual state-level markets in southern states.
By testing a law of one price, a few contiguous segments among 13 Southern States. lumber in the United States. Methods Theoretical and econometric model The softwood lumber industry is assumed to be competitive. This is a realistic assumption given that softwood lumber is a commodity, that the number of softwood lumber mills in the United States is large ( in and in ; US Bureau of the Census United States are projected to increase substantially in the decades ahead, despite increases in paper stumpage markets, and timber growth and inventory.
The modeling framework is pulpwood markets obtained from the NAPAP Model. Results also include projections of lumber production, total timber harvest, and sawtimber. The housing industry has long provided important markets for the higher-value hardwood lumber used in fixtures such as cabinets, flooring, and millwork.
These markets have become even more important in the face of the decline in furniture manufacture in the USA. The importance of housing and other construction markets to the US hardwood industry is the focus of the current review.Keywords: hardwood markets, roundwood, price trends, lumber, stumpage T Consumption of grade lumber increased in the United States in the s and by was billion board feet (bbf) (HMR ).
US hardwood lumber consumption started to tially affected the price of hardwood stumpage and higher grade.An Econometric Study of the Hardwood Sawtimber Stumpage Market in Louisiana. Forest Products Journal 67(1/2): Type: Journal Articles Status: Published Year Published: Citation: Lin, Y., and D.
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Zhang. Incidence of Russian Log Export Tax: A Vertical Log-Lumber Model. Journal of Forest Economics 29(B):
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