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Computable general equilibrium

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change. The dynamic elements may arise from partial adjustment processes or from stock/flow accumulation relations: between capital stocks and investment, and between foreign debt and trade deficits. However there is a potential consistency problem because the variables that change from one equilibrium solution to the next are not necessarily consistent with each other during the period of change. The modeling of the path of adjustment may involve forward-looking expectations, where agents' expectations depend on the future state of the economy and it is necessary to solve for all periods simultaneously, leading to full multi-period dynamic CGE models. An alternative is recursive dynamics. Recursive-dynamic CGE models are those that can be solved sequentially (one period at a time). They assume that behaviour depends only on current and past states of the economy. Recursive dynamic models where a single period is solved for, comparative steady-state analysis, is a special case of recursive dynamic modeling over what can be multiple periods.
221:: they model the reactions of the economy at only one point in time. For policy analysis, results from such a model are often interpreted as showing the reaction of the economy in some future period to one or a few external shocks or policy changes. That is, the results show the difference (usually reported in percent change form) between two alternative future states (with and without the policy shock). The process of adjustment to the new equilibrium, in particular the reallocation of labor and capital across sectors, usually is not explicitly represented in such a model. 112:(SAM). In either case, it covers the whole economy of a country (or even the whole world), and distinguishes a number of sectors, commodities, primary factors and perhaps types of households. Sectoral coverage ranges from relatively simple representations of capital, labor and intermediates to highly detailed representations of specific sub-sectors (e.g., the electricity sector in GTAP-Power.) 159:'s 1960 MSG model of Norway, and the static model developed by the Cambridge Growth Project in the UK. Both models were pragmatic in flavour, and traced variables through time. The Australian MONASH model is a modern representative of this class. Perhaps the first CGE model similar to those of today was that of Taylor and Black (1974). 97:. The choice of which variables are to be exogenous is called the model closure, and may give rise to controversy. For example, some modelers hold employment and the trade balance fixed; others allow these to vary. Variables defining technology, consumer tastes, and government instruments (such as tax rates) are usually exogenous. 209:. They can show economic gains and losses across different groups (e.g., households that differ in income, or in different regions). The equations include assumptions about the behavioural response of different groups. By optimising the prices paid for various outputs the direct burdens are shifted from one taxpayer to another. 225:
broad approaches followed in the policy literature to such long-run adjustment. One involves what is called "comparative steady state" analysis. Under such an approach, long-run or steady-state closure rules are used, under either forward-looking or recursive dynamic behavior, to solve for long-run adjustments.
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The alternative approach involves explicit modeling of dynamic adjustment paths. These models can seem more realistic, but are more challenging to construct and solve. They require for instance that future changes are predicted for all exogenous variables, not just those affected by a possible policy
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In contrast, long-run models focus on adjustments to the underlying resource base when modeling policy changes. This can include dynamic adjustment to the labor supply, adjustments in installed and overall capital stocks, and even adjustment to overall productivity and market structure. There are two
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CGE models are useful whenever we wish to estimate the effect of changes in one part of the economy upon the rest. For example, a tax on flour might affect bread prices, the CPI, and hence perhaps wages and employment. They have been used widely to analyse trade policy. More recently, CGE has been a
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CGE models derive too from the models for planning the economies of poorer countries constructed (usually by a foreign expert) from 1960 onwards. Compared to the Leontief model, development planning models focused more on constraints or shortages—of skilled labour, capital, or foreign exchange.
461:. Edenhofer, O., R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, A. Adler, I. Baum, S. Brunner, P. Eickemeier, B. Kriemann, J. Savolainen, S. Schlömer, C. von Stechow, T. Zwickel and J. C. Minx (eds.). Cambridge University Press, Cambridge, United Kingdom and New York 192:
data are scarce or not relevant (perhaps because of disturbances such as regime changes). Here, strong, reasonable, assumptions embedded in the model must replace historical evidence. Thus developing economies are often analysed using CGE models, such as those based on the
148:, but assign a more important role to prices. Thus, where Leontief assumed that, say, a fixed amount of labour was required to produce a ton of iron, a CGE model would normally allow wage levels to (negatively) affect labour demands. 53:
CGE models are useful whenever we wish to estimate the effect of changes in one part of the economy upon the rest. They have been used widely to analyse trade policy. More recently, CGE has been a popular way to estimate the
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in spirit, often assuming cost-minimizing behaviour by producers, average-cost pricing, and household demands based on optimizing behaviour. However, most CGE models conform only loosely to the theoretical
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parameters that capture behavioural response. For example, export demand elasticities specify by how much export volumes might fall if export prices went up. Other elasticities may belong to the
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are also used. Use of such systems has lowered the cost of entry to CGE modelling; allowed model simulations to be independently replicated; and increased the transparency of the models.
46:) models. A CGE model consists of equations describing model variables and a database (usually very detailed) consistent with these model equations. The equations tend to be 127:, which show whether products of different countries are close substitutes, and elasticities measuring how easily inputs to production may be substituted for one another. 451:
Kolstad C., K. Urama, J. Broome, A. Bruvoll, M. Cariño Olvera, D. Fullerton, C. Gollier, W. M. Hanemann, R. Hassan, F. Jotzo, M. R. Khan, L. Meyer, and L. Mundaca, 2014:
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AR5 Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
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CGE models have been used widely to analyse trade policy. Today there are many CGE models of different countries. One of the most well-known CGE models is global: the
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A CGE model consists of equations describing model variables and a database (usually very detailed) consistent with these model equations. The equations tend to be
770: 237:
Early CGE models were often solved by a program custom-written for that particular model. Models were expensive to construct and sometimes appeared as a '
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in spirit, often assuming cost-minimizing behaviour by producers, average-cost pricing, and household demands based on optimizing behaviour.
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tables of transaction values, showing, for example, the value of coal used by the iron industry. Usually the database is presented as an
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CGE models always contain more variables than equations—so some variables must be set outside the model. These variables are termed
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The Expected Benefits of Trade Liberalization for World Income and Development: Opening the "Black Box" of Global Trade Modeling
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and John Whalley (1984). "Applied General-Equilibrium Models of Taxation and International Trade: An Introduction and Survey".
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Taylor, L. and S. L. Black (1974), "Practical General Equilibrium Estimation of Resources Pulls under Trade Liberalization",
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Evidence-based Trade Policy Decision Making in Australia and the Development of Computable General Equilibrium Modelling
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Dynamic General Equilibrium Modelling for Forecasting and Policy: a Practical Guide and Documentation of MONASH
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CGE models can specify consumer and producer behaviour and ‘simulate’ effects of climate policy on various
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Lanz, Bruno and Rutherford, Thomas F. (2016) "GTAPinGAMS: Multiregional and Small Open Economy Models".
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popular way to estimate the economic effects of measures to reduce greenhouse gas emissions.
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Manne, Alex S. (1963). "Key Sectors of the Mexican Economy, 1960–1970". In Alan S. Manne;
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non-market clearing, especially for labour (unemployment) or for commodities (inventories)
8: 818: 270: 218: 72: 781: 90: 838: 756: 732: 724: 653: 633: 554: 499: 385: 313: 358: 798: 741: 680: 546: 491: 145: 550: 495: 365: 303: 254: 35: 586: 433: 241:' to outsiders. Now, most CGE models are formulated and solved using one of the 822: 718: 27: 643: 884: 766: 753:
Global Trade Analysis: Modeling and Applications (Modelling and Applications)
342: 156: 116: 31: 802: 684: 611: 38:, technology or other external factors. CGE models are also referred to as 847: 821:
Center for Economic Policy Analysis (SCEPA) and Department of Economics,
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Income Distribution Policy in Developing Countries: A Case Study of Korea
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Cardenete, M. Alejandro, Guerra, Ana-Isabel and Sancho, Ferran (2012).
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Dixon, Peter; Brian Parmenter; Alan Powell and Peter Wilcoxen (1992).
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CGE models are useful to model the economies of countries for which
484:"Trade liberalization and investment in a multilateral framework" 309:
Studies in Process Analysis: Economy-Wide Production Capabilities
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Löfgren, Hans; Rebecca Lee Harris and Sherman Robinson (2002).
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Debunking the Myths of Computable General Equilibrium Models
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Notes and Problems in Applied General Equilibrium Economics
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Dervis, Kemal; Jaime de Melo and Sherman Robinson (1982).
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demands not influenced by price (e.g., government demands)
699:; Brian Parmenter; John Sutton and Dave Vincent (1982). 784:(1995) Edited volume on "Applied General Equilibrium", 771:"A Primer on Static Applied General Equilibrium Models" 435:
A Standard Computable General Equilibrium (CGE) in GAMS
290:"GTAP Data Bases: GTAP 10 Satellite Data and Utilities" 701:
ORANI: A Multisectoral Model of the Australian Economy
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shows how household demands respond to income changes.
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Applied Methods for Trade Policy Analysis: A Handbook
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Introduction to Computable General Equilibrium Models
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to estimate how an economy might react to changes in
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Federal Reserve Bank of Minneapolis Quarterly Review
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Dynamic Issues in Applied Commercial Policy Analysis
93:; the remainder, determined by the model, is called 746:
The Structure of Applied General Equilibrium Models
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Handbook of Computable General Equilibrium Modeling
453:"Social, Economic and Ethical Concepts and Methods" 545:. Cambridge: Cambridge University Press: 383–434. 490:. Cambridge: Cambridge University Press: 202–222. 896:Mathematical and quantitative methods (economics) 691:General Equilibrium Models for Development Policy 882: 525: 421:Global Trade Analysis: Modeling and Applications 155:CGE modelling of richer economies descends from 58:of measures to reduce greenhouse gas emissions. 755:, Cambridge University Press: Cambridge, 1999, 652:, Cambridge University Press: Cambridge, 2011, 82:imperfect competition (e.g., monopoly pricing) 438:, Microcomputers in Policy Research, vol. 5, 665:Applied General Equilibrium: An Introduction 630:Dynamic Issues in Commercial Policy Analysis 440:International Food Policy Research Institute 349:, North-Holland (2nd enlarged edition 1974). 376: 75:paradigm. For example, they may allow for: 580: 543:Applied Methods for Trade Policy Analysis 347:A Multi-Sectoral Study of Economic Growth 316:Monograph no. 18). John Wiley & Sons. 213:Comparative-static and dynamic CGE models 470: 331:A Demonstration Planning Model for India 183: 883: 859:Shoven, John and John Whalley (1992). 292:, Global Trade Analysis Project (GTAP) 301: 877:– software for DSGE and CGE modeling 837:. Cambridge University Press, 1997. 632:. Cambridge University Press, 1999. 795:Journal of Global Economic Analysis 677:Journal of Global Economic Analysis 121:constant elasticity of substitution 13: 731:, vols. 1A and 1B, North Holland, 673:The Standard GTAP Model, Version 7 671:Corong, Erwin L.; et al. (2017). " 604: 539:"Dynamics of Trade Liberalization" 407:Journal of International Economics 333:, Asia Publishing House, Calcutta. 140:CGE models are descended from the 100:A CGE model database consists of: 14: 907: 868: 200: 808:Mitra-Kahn, Benjamin H. (2008). 61: 574: 519: 464: 445: 171: 162: 853:Journal of Economic Literature 426: 413: 410:, vol. 4(1), April, pp. 37–58. 398: 370: 352: 336: 320: 295: 283: 20:Computable general equilibrium 1: 614:and Sherman Robinson (1978). 423:, Cambridge University Press. 276: 232: 863:, Cambridge University Press 861:Applying General Equilibrium 693:. Cambridge University Press 551:10.1017/CBO9781139174824.015 496:10.1017/CBO9780511599101.008 7: 744:and Michiel Keyzer (1997). 618:, Stanford University Press 264: 129:Income elasticity of demand 44:applied general equilibrium 10: 912: 891:General equilibrium theory 719:Working Paper Number G-163 419:Hertel, Tom (ed.) (1997). 380:; Rimmer, Maureen (2002). 135: 856:, vol. 22(3) 1007–51 829:Reinert, Kenneth A., and 817:. Working Paper 2008-01. 123:class. Amongst these are 359:Cambridge Growth Project 110:social accounting matrix 26:) models are a class of 16:Class of economic models 642:Bouët, Antoine (2008). 384:. Amsterdam: Elsevier. 803:10.21642/JGEA.010201AF 780:Kehoe, Timothy J. and 765:Kehoe, Patrick J. and 685:10.21642/JGEA.020101AF 474:; et al. (1999). 180:model of world trade. 125:Armington elasticities 713:Dixon, Peter (2006). 537:; K. Reinert (eds.). 527:Keuschnigg, Christian 217:Many CGE models are 184:Developing economies 622:Baldwin, Richard E. 271:Macroeconomic model 142:input–output models 73:general equilibrium 831:Joseph F. Francois 797:, vol. 1(2):1–77. 782:Edward C. Prescott 626:Joseph F. Francois 583:"The Simplest CGE" 364:2009-02-28 at the 304:Harry M. Markowitz 249:software systems. 219:comparative static 106:input-output table 742:Ginsburgh, Victor 737:978-0-444-59568-3 725:Dale W. Jorgenson 723:Dixon, Peter and 648:Burfisher, Mary, 391:978-0-444-51260-4 314:Cowles Foundation 207:economic outcomes 903: 826: 816: 767:Timothy J. Kehoe 751:Hertel, Thomas, 679:. 2 (1): 1–119. 598: 597: 595: 594: 585:. Archived from 581:Joshua Elliott. 578: 572: 571: 569: 567: 523: 517: 516: 514: 512: 472:Francois, Joseph 468: 462: 449: 443: 430: 424: 417: 411: 402: 396: 395: 374: 368: 356: 350: 340: 334: 324: 318: 317: 299: 293: 287: 197:template model. 146:Wassily Leontief 56:economic effects 30:that use actual 911: 910: 906: 905: 904: 902: 901: 900: 881: 880: 871: 866: 814: 807: 787:Economic Theory 710:, North Holland 703:, North-Holland 607: 605:Further reading 602: 601: 592: 590: 579: 575: 565: 563: 561: 531:Kohler, Wilhelm 524: 520: 510: 508: 506: 469: 465: 450: 446: 431: 427: 418: 414: 403: 399: 392: 375: 371: 366:Wayback Machine 357: 353: 341: 337: 325: 321: 300: 296: 288: 284: 279: 267: 235: 215: 203: 186: 174: 165: 138: 64: 28:economic models 17: 12: 11: 5: 909: 899: 898: 893: 879: 878: 870: 869:External links 867: 865: 864: 857: 845: 827: 823:The New School 805: 791: 778: 763: 761:978-0521643740 749: 739: 727:, ed. (2013). 721: 717:, CoPS/IMPACT 711: 704: 694: 687: 669: 660: 646: 640: 638:978-0521159517 619: 608: 606: 603: 600: 599: 573: 559: 518: 504: 463: 455:, p. 238. In: 444: 425: 412: 397: 390: 369: 351: 343:Johansen, Leif 335: 319: 294: 281: 280: 278: 275: 274: 273: 266: 263: 234: 231: 214: 211: 202: 201:Climate policy 199: 185: 182: 173: 170: 164: 161: 137: 134: 133: 132: 115:elasticities: 113: 87: 86: 83: 80: 63: 60: 15: 9: 6: 4: 3: 2: 908: 897: 894: 892: 889: 888: 886: 876: 873: 872: 862: 858: 855: 854: 849: 846: 844: 843:9780521589970 840: 836: 832: 828: 824: 820: 813: 812: 806: 804: 800: 796: 792: 789: 788: 783: 779: 776: 772: 768: 764: 762: 758: 754: 750: 747: 743: 740: 738: 734: 730: 726: 722: 720: 716: 712: 709: 705: 702: 698: 695: 692: 688: 686: 682: 678: 674: 670: 667: 666: 661: 659: 658:9780521139779 655: 651: 647: 645: 641: 639: 635: 631: 627: 623: 620: 617: 613: 612:Adelman, Irma 610: 609: 589:on 2016-04-23 588: 584: 577: 562: 560:9780521589970 556: 552: 548: 544: 540: 536: 532: 528: 522: 507: 505:9780521641715 501: 497: 493: 489: 485: 481: 477: 473: 467: 460: 459: 454: 448: 441: 437: 436: 429: 422: 416: 409: 408: 401: 393: 387: 383: 379: 373: 367: 363: 360: 355: 348: 344: 339: 332: 328: 323: 315: 311: 310: 305: 298: 291: 286: 282: 272: 269: 268: 262: 260: 256: 252: 248: 244: 240: 230: 226: 222: 220: 210: 208: 198: 196: 191: 181: 179: 169: 160: 158: 157:Leif Johansen 153: 149: 147: 144:pioneered by 143: 130: 126: 122: 118: 117:dimensionless 114: 111: 107: 103: 102: 101: 98: 96: 92: 84: 81: 78: 77: 76: 74: 69: 62:Main features 59: 57: 51: 49: 45: 41: 37: 33: 32:economic data 29: 25: 21: 860: 851: 848:Shoven, John 834: 810: 794: 785: 774: 752: 745: 728: 714: 707: 700: 697:Dixon, Peter 690: 676: 663: 649: 629: 615: 591:. Retrieved 587:the original 576: 564:. Retrieved 542: 521: 509:. Retrieved 487: 466: 457: 447: 434: 428: 420: 415: 405: 400: 381: 378:Dixon, Peter 372: 354: 346: 338: 330: 322: 308: 297: 285: 236: 227: 223: 216: 204: 187: 175: 172:Trade policy 166: 163:Areas of use 154: 150: 139: 99: 88: 68:neoclassical 65: 52: 48:neoclassical 39: 23: 19: 18: 748:, MIT Press 535:J. Francois 480:J. Francois 190:time series 885:Categories 668:. Springer 593:2011-05-23 476:R. Baldwin 327:Sandee, J. 277:References 233:Techniques 95:endogenous 239:black box 91:exogenous 819:Schwartz 533:(1997). 482:(eds.). 362:Archived 345:(1960). 329:(1960), 306:(eds.). 265:See also 108:or as a 833:, eds. 777:, 18(2) 769:(1994) 628:, eds. 566:9 March 511:9 March 247:GEMPACK 136:History 841:  759:  735:  656:  636:  624:, and 557:  502:  388:  259:MATLAB 36:policy 875:gEcon 815:(PDF) 255:Excel 195:IFPRI 839:ISBN 757:ISBN 733:ISBN 654:ISBN 634:ISBN 568:2019 555:ISBN 513:2019 500:ISBN 386:ISBN 257:and 251:AMPL 243:GAMS 178:GTAP 799:doi 790:, 6 681:doi 675:". 547:doi 492:doi 245:or 40:AGE 24:CGE 887:: 773:, 553:. 541:. 529:; 498:. 486:. 478:; 253:, 825:. 801:: 683:: 596:. 570:. 549:: 515:. 494:: 442:. 394:. 312:( 42:( 22:(

Index

economic models
economic data
policy
applied general equilibrium
neoclassical
economic effects
neoclassical
general equilibrium
exogenous
endogenous
input-output table
social accounting matrix
dimensionless
constant elasticity of substitution
Armington elasticities
Income elasticity of demand
input–output models
Wassily Leontief
Leif Johansen
GTAP
time series
IFPRI
economic outcomes
comparative static
black box
GAMS
GEMPACK
AMPL
Excel
MATLAB

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