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Calibration and Validation of Global Forest Products Model (GFPM) Joseph Buongiorno, Shushuai Zhu University of Wisconsin - Madison.

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Presentation on theme: "Calibration and Validation of Global Forest Products Model (GFPM) Joseph Buongiorno, Shushuai Zhu University of Wisconsin - Madison."— Presentation transcript:

1 Calibration and Validation of Global Forest Products Model (GFPM) Joseph Buongiorno, Shushuai Zhu University of Wisconsin - Madison

2 Acknowledgements USDA Forest Service Southern Research Station James Turner Jeff Prestemon

3 Objectives Synchronize GFPM and FAO data cycles Correct data errors Reconcile data with theory Assist users with automated procedures Check predictions with observations

4 Methods Data FAOSTAT World Bank World Development Indicators Elasticities and other parameters Calibration Data smoothing Static or dynamic calibration with data correction Validation Check data consistency Compare data and solution

5 Data 1: FAO Statistics

6 Data 2: World Bank WDI

7 Data 3: Forest Resource Assessment Extent of forest and other wooded land 2010 Country/area Land area Inland water (1 000 ha) Country area (1 000 ha) ForestOther wooded landOther land (1 000 ha) 1 000 ha % of land area1 000 ha % of land areaTotal of which with tree cover Angola58480470066190-0124670 Botswana1135120347916110531-150058173 Comoros3200183-0186 Djibouti6n.s.22092092-22320 Eritrea1532157153711415-166011760 Ethiopia1229611446504152685-799110430 Kenya3467628650502479710385112358037 Lesotho4419732894-03035 Madagascar1255322156882729913-55058704 Malawi323734006171-244011848

8 GDPPriceYear Fuelwood-developing countries0.05-0.10 Fuelwood-developed countries0.22-0.10 Sawnwood0.22-0.10-0.003 Standard error0.03 0.02 0.001 Plywood & veneer0.41-0.29-0.009 Standard error0.04 0.02 0.002 Particleboard0.54-0.29-0.006 Standard error0.070.02 0.002 Fiberboard0.35-0.46-0.002 Standard error0.06 0.02 0.002 Newsprint0.58-0.25-0.008 Standard error0.04 0.02 0.001 Printing & Writing0.45-0.37 0.003 Standard error0.03 0.02 0.001 Other paper & Paperboard0.43-0.23-0.004 Standard error0.03 0.02 0.001 Data 4: Elasticities of Demand

9 Calibration Goal = GFPM Inputs GFPM Spreadsheet ContentCalibration DemandInitial condition+elasticitiesYes SupplyInitial condition+elasticitiesYes ForestInitial condition+elasticities+ forest growth parameters Yes ManufactureI/O coefficients, costsYes RecyclingMax recyclingYes TransportationInitial import, export, costYes ExogChangeGDP growth and other changesNo

10 Calibration Procedure Smooth data (optional) world price (net exporter) Local price = world price + transport cost (net importer) Then, for each country, simultaneously: Estimate I/O coefficients & manufacturing costs Correct data if needed

11 Goal Programming Minimize (calibrated - reported production) +(calibrated - expected input) Subject to: –Observed imports, exports, and prices –Prior bounds on: I/O coefficients Manufacturing costs Recycling rates

12 Objective Function Deviation from reported production Deviation from expected input Weight=world price

13 Deviation of estimated from reported production Deviation of estimated from expected input Reported production Prior I/O coefficient

14 Material balance Non-negative manufacturing cost Import & export, given Output value Input cost

15 Feasible range of input i for output j Feasible post-consumer recovery bounds on I/O coefficients Paper consumption Recovery bounds Calculated I/O coefficient

16 Dynamic Calibration Purpose: Smooth yearly change of I/O coefficients Method: –Static calibration for each last 3 years –“Average” of calibrated I/O coefficients, production, imports, and prices

17 GFPM Calibration Interface

18 Post Calibration Data Checks Consumption = production + import – export Prices: Net Exporter=World Price Net Importer=World Price + Transport Cost Manufacturing cost= Output Price – Input Costs Recovered paper >= consumed waste paper

19 Input Data Check Results Input manufacturing cost Algeria plywood Derived manufacturing cost

20 GFPM Validation - Base Year Check predicted = calibrated: Demand Quantity Price Supply Quantity Price Manufacturing Quantity Price Manufacturing cost Net Trade

21 GFPM Validation - Base Year Algeria sawnwood price consumption

22 Long Term validation Set base year (e.g. 1980) Set exogenous variables (e.g. 1980-1995) GDP GDP/capita Compare predictions and observations

23 Industrial Roundwood Production

24 Industrial Roundwood Net Trade

25 Soldid Wood World Prices

26 Further Work Extend dynamic calibration –I/O and costs (consider all data simultaneously) –Demand (elasticities of demand) –Supply (elasticities of supply) Explore alternative trade theories –Export (monopolistic competition) Update long-term validation

27 GFPM Software, Data, Manuals http://fwe.wisc.edu/staticsites/buongiorno/book/GFPM.html


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