Introduction to Computable General Equilibrium Analysis: Input-Output Analysis Foundation

1. Introduction to Computable General Equilibrium Analysis: Input-Output Analysis Foundation by Adam Rose CREATE and SPPD University of Southern California

2. Modeling Needs • Many economic phenomena and policy issues need to be addressed at the macro level. • Many of these are influenced by the interdependence of the various sectors of the economy: - economic development - cost-push inflation - cascading infrastructure failures • We need models that are sectorally disaggregated & sectorally linked thru both prices & quantities.

3. Key Questions • What is an economic model? • What are we modeling? • What are the modeling alternatives? • How do we choose the best model?

4. Economic Models • A mathematical representation, based on economic theory, of the workings of part or all of the economy - micro, meso, macro - simplification to focus on the essence of the workings (not just “scale-model”; only selected parts of the whole) - an abstraction of reality - used for analysis, prediction, policy evaluation

5. Alternative Modeling Approaches • Econometric - based on solid data; but data intensity an obstacle - does not explicitly model interactions • Input-Output - prevalent non-survey (data reduction) models - limitations: linear, no behavior, no mkts/prices • Computable General Equilibrium - maintains I-O strengths; overcomes limitations - data base not as solid as econometric (calibration)

6. Economic Model Choice • Strategic elements in model selection: - policy question (applicability) - relevant assumptions (behavior, spatial resolution, role of markets, constraints) - data availability - other criteria (cost, transparency, etc.)

7. Evaluative Criteria • Accuracy • Scope • Detail • Transparency • Manageability • Flexibility • Cost • Other

8. Evaluating Alternative Models

9. Understanding CGE Models • Theoretical Foundation: Walrasian GE • Empirical Foundation: - I-O accounts for production inputs - Social Accounting Matrix for hh & institutions - Data transfer for elasticities • Solution Algorithms - non-linear programming - variant of fixed-point theorem

10. Overview of CGE • State-of-the-art impact analysis method • Relative advantages - workings of markets & prices - behavior of individual decision-makers - substitution & other non-linearities - ability to accommodate engineering data • Some disadvantages being overcome

11. Key Underpinnings of CGE • Input-Output Analysis • Social Accounting Matrices • Mathematical Programming • General Equilibrium Theory

12. Definition of Input-Output Analysis Basic Model: A static, linear model of all purchases and sales between sectors of an economy, based on the technological relationships of production. Ultimate Version: A dynamic, non-linear model of all purchases and sales, both market and non-market, between sectors of economies, based on the technological relationships of production and other variables that can be quantified.

13. Input-Output Analysis--Rich History • Worthy of Nobel Prize to Wassily Leontief • Wealth of empirical data • Still major tool of impact analysis • Many superior applications

14. Advantages of Input-Output Models Organizational framework for data Comprehensive accounting of all inputs Displays economic structure Reveals economic linkages Calculates total (direct, indirect, & induced impacts) Computational ease Readily extended (institutions, pollution, etc.) Can accommodate engineering data Empirical models readily available

15. Disadvantages of I-O Models Prices play a secondary role Lack behavioral content Linearities are difficult to overcome Lacks forecasting ability

16. Three Versions of the Basic I-O Table • Transactions Table (annual physical or dollar flows) • Structural Matrix (direct input requirements per unit of output) • Leontief Inverse Matrix (total input requirements per unit of output)

20. Assumptions Underlying the Basic I-O Model • One-to-one correspondence A. Uniqueness of production B. No joint-products • Proportionality of inputs and outputs • No externalities

21. Mathematical Presentation Basic Balance Identity:

22. Math Presentation (continued) The Structural Model:

23. Elements of the Leontief Inverse

24. Matrix Presentation of I-O

25. Open vs. Closed I-O Models Open I-O Model--Consists of only the intermediate sectors in the structural matrix (direct requirements coefficients) and the Leontief inverse (total requirements coefficients). Therefore, only capable of estimating indirect (interindustry) effects of an exogenous stimulus: X = AX + Y Closed I-O Model--Consists of the intermediate sectors plus one of more of the normally exogenous final demand sectors (typically consumption) plus the corresponding payments sector (typically household income). Therefore, capable of estimating indirect (interindustry) and induced (typically income/spending) effects of an exogenous stimulus:

26. Basic Multiplier Y = C + I I = Ia C = a + bY e.g., when b = .75, M = 4 X = (I-A)-1Y ∆X = (I-A)-1∆Y ∆X = M • ∆Y

27. Input-Output Multipliers Basic Concept: Total Impacts (throughout the economy) Direct Impacts (in one sector) Two Formats: • Partial derivative (numerator & denominator in same units) e.g., Total Employment Change Direct Employment Change • Standardized (all impacts expressed in terms of ∆X) e.g., Total Employment Change Per Unit Change in Output

28. Multiplier Types Type I: Total impacts include direct & indirect effects (computed with the open I-O Table) Type II: Total impacts include direct, indirect & induced (computed with the closed I-O Table) Type III: Total impacts include direct, indirect & induced (computed with closed Table & marginal consumption coefficients rather than average coefficients) Type X: Closed to other elements of Final Demand (e.g., closed w/ respect to investment: dynamic multiplier) Type SAM: Total impacts with interaction among institutions (computed with Social Accounting Matrix)

29. I-O Multiplier Calculations

30. Income Multipliers

31. Definitions & Conventions of Input-Output Tables • Valuation of transactions in producer prices: purchasers P = producer P + transport C + trade margin • Trade and transport margins: cost of doing business only • Secondary products: several conventions

32. Definitions & Conventions (cont.) • Dummy industries constant mix of small items • Inventories in terms of industries producing them • Trade several conventions, but main one: competitive (comparable, transferred) non-competitive (non-comparable, directly allocated)

33. I-O Table Construction • Select a time period (usually 1 year) • Classify major components a. Industry categories b. Final demand categories c. Income payment categories d. Trade categories (imports and exports) • Establish sectoral control totals • Tabulate intersectoral flows a. Production requirements b. sales distributions 5. Cross-check and reconcile data

34. Why a separate category? • Superficial answer: sub-national unit • More accurate answer: Open economy vs. closed economy Affects the choice of structural coefficients: • Technical coefficients total direct requirements (national, irrespective of geographic origin) • Trade coefficients—only counts goods produced & (intraregional, used within the region) Regional I-O Models

35. Columns from Hypothetical Nationa & Regional I-O Tables

36. Major Regional Interregional & Multiregional Input-Output Models • Pure Regional Model R regional specific technology and input requirements (survey based tables--Isard; Miernyk; Bourque) 2. Pure Regionalized Model AR or PA national technology as basis for regionalized input requirements (non-survey tables--Schaffer and Chu) • Pure Interregional Model AML regional specific origins and destinations (theoretical ideal--Isard) • Multiregional Model AL & CLM national technical coefficients, but regional mix (HRIO--Chanery; Moses; Polenske) • Balanced (Multi-) Regional Model ARN & PRXN supply-demand balance in regional and national markets (Leontief)

37. Supply-Demand Pool Technique for Generating Regional I-O Models • Scale down national flows to conform to regional control totals (multiply input flows in each column by ratio of regional to national gross output). • Sum each row of the scaled down flow table to determine total regional demand for each sector's output. • Subtract the total demand for each sector's output from its corresponding sectoral gross output total (regional supply). a. If excess demand for a sector's output is negative, there is an exportable surplus and no further adjustment is needed in that sector's (row) flows. The exportable surplus, is entered as the sector's row entry in a single "Export Column." (Also, this sector's output will therefore not be imported.) b. If excess demand for a sector's output is positive, there is an import deficit. Apportion imports proportionally across all buyers (columns). i. Multiply each row (including final demand elements) by the ratio of its total sector supply and total sector demand. The result is a row vector of intraregional tradeflows for that sector's output. ii. Subtract the result of the prior calculation from the scaled down row entries 4. Note that the methodology invokes the "no cross-hauling" assumption--no sector's output will be both exported and imported.