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Leontief Matrix

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    Leontief Matrix

    Robert M. Hayes2002

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    Nobel Prize in Economics The following slides list the persons who have received

    the Nobel Prize for Economics since its inception in

    1969. In making the awards, the Prize Committee appears to

    have attempted to balance several aspects of economic

    theory:

    Market-oriented vs. Public-sector oriented

    Quantitative vs. Qualitative

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    2001 George A. Akerlof, A. Michael Spence, Joseph E. Stiglitz

    2000 James J. Heckman, Daniel L. McFadden

    1999 Robert A. Mundell

    1998 Amartya Sen

    1997 Robert C. Merton, Myron S. Scholes

    1996 James A. Mirrlees, William Vickrey

    1995 Robert E. Lucas Jr.

    1994 John C. Harsanyi, John F. Nash Jr., Reinhard Selten

    1993 Robert W. Fogel, Douglass C. North 1992 Gary S. Becker

    1991 Ronald H. Coase

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    1990 Harry M. Markowitz, Merton H. Miller, William F. Sharpe

    1989 Trygve Haavelmo

    1988 Maurice Allais

    1987 Robert M. Solow 1986 James M. Buchanan Jr.

    1985 Franco Modigliani

    1984 Richard Stone

    1983 Gerard Debreu

    1982 George J. Stigler

    1981 James Tobin

    1980 Lawrence R. Klein

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    1979 Theodore W. Schultz, Sir Arthur Lewis

    1978 Herbert A. Simon

    1977 Bertil Ohlin, James E. Meade

    1976 Milton Friedman 1975 Leonid Vitaliyevich Kantorovich, Tjalling C. Koopmans

    1974 Gunnar Myrdal, Friedrich August von Hayek

    1973 Wassily Leontief

    1972 John R. Hicks, Kenneth J. Arrow

    1971 Simon Kuznets

    1970 Paul A. Samuelson

    1969 Ragnar Frisch, Jan Tinbergen

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    Wasily Leontief

    His birth in Germany and move to Russia

    His education

    His early career

    His move to the United States His appointment at Harvard

    His visit to Russia in ?

    He is awarded the Nobel Prize in 1973

    He generalizes the Input-Output Model

    He moves to NYU in 1975

    His views concerning American economists

    His death in 1999

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    The Structure of the Leontief Matrix

    Sectors

    Variables

    Matrices

    The heart of the idea

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    Schematic of Inter-Sector Transactions

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    Use of the Fundamental Equation

    Lets suppose that the input-output matrix is constant, atleast for a range of consumer demands reasonably close tothe given one, which was (0.5,0.2,0.4), from output of (1,1,1).

    What would be needed to meet a different consumer

    demand? From the basic equation X - A*X = D, the answer requires

    solving the linear equation (I - A)*X = D, where I is theidentity matrix.

    In the example, if the consumer demand for sector 3 output

    were to increase from 0.4 to 0.5, the resulting sector outputvector would need to be: (1.0303, 1.0417, 1.1591). Theinternal consumption (i.e., that output consumed inproduction) would be (0.5303,0.8417,0.6591), and thedifference between the two is (0.5000,0.2000,0.5000).

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    Dynamic Equation

    This becomes really interesting if the production process isviewed as a progression in time.

    In static input-output models, the final demand vectorcomprises not only consumption goods, but also investment

    goods, that is, additions to the stocks of fixed capital itemssuch as buildings, machinery, tools etc.

    In dynamic input-output models investment demand cannotbe taken as given from outside, but must be explainedwithin the model.

    The approach chosen is the following: the additions to thestocks of durable capital goods are technologically required,given the technique in use, in order to allow for anexpansion of productive capacity that matches theexpansion in the level of output effectively demanded.

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    Dynamic Leontief Models

    A simple dynamic model has the following form

    XTt (I - A) - (XT

    t+1 - XT

    t )B = DT

    t,

    where I is the nxn identity matrix, A is the usual Leontiefinput matrix, B is the matrix of fixed capital coefficients,X is the vector of total outputs and D is the vector of finaldeliveries, excluding fixed capital investment; t refers to thetime period. It deserves to be stressed that in this approachtime is treated as a discrete variable. The coefficient bij inthe matrix B defines the stock of products of industry jrequired per unit of capacity output of industry i and is thusa stock-flow ratio.

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    THE END


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