000			02964nam a22002535i 4500
001			C00073617c
005			20230317143248.0
008			160818s20142014xxua fr 001 0 eng d
020			_a9780691042770
040			_aDO-SdBDB _bspa _cDO-SdBDB
041			_aeng
043			_an-us
050		4	_aHB 135 _b.H357 2014
100	1		_aHansen, Lars Peter, _d1952-
245	1	0	_aRecursive models of dynamic linear economies / _cLars Peter Hansen, Thomas J. Sargent.
260			_aPrinceton, New Jersey : _bPrinceton University Press, _c2014.
300			_axv, 399 páginas : _bilustraciones, gráficas a blanco y negro ; _c26 cm.
505	1		_aPreface, xiii -- _tAcknowledgments, xv -- _tPart I. Overview: theory and econometrics, 3 -- _tPart II. Tools -- _t2. Linear stochastic difference equations, 15 -- _t3. Efficient computations, 33 -- _tPart III. Components of economies -- _t4. Economic environments, 61 -- _t5. Optimal resource allocations, 79 -- _t6. A commodity space, 125 -- _t7. Competitive economies, 131 -- _tPart IV. Representations and properties -- _t8. Statical representations, 153 -- _t9. Canonical household technologies, 191 -- _t10. Examples, 217 -- _t11. Permanent income models, 233 -- _t12. Gorman heterogeneous households, 253 -- _t13. Complete markets aggregation, 269 -- _t14. Periodic models of seasonality, 291 -- _tA. Matlab Programs, 327 -- _tReferences, 379 -- _tSubject index, 393 -- _tAuthor index, 397 -- _tMatlab index, 399
520			_aThis book views many apparently disparate dynamic economic models as examples of a single class of models that can be adapted and specialized to study diverse economic phenomena. The class of models was created by using recent advances in (i) the theory of recursive dynamic competitive economies; 1 (ii) methods for estimating and interpreting vector autoregression; 2 (iii) linear optimal control theory;3 and (iv) computer languages for rapidly manipulating linear optimal control systems.4 We combine these elements to build a class of models for which the competitive equilibria are vector autoregressions that can be swiftly computed, represented, and simulated using the methods of linear optimal control theory. We use the computer language Matlab to implement the computations. This language has a powerful vocabulary and a convenient structure that liberate time and energy from programming, and thereby spur creative application of linear control theory. Our goal has been to create a class of models that merge recursive economic theory and with dynamic econometrics. Systems of autoregressions and of mixed autogregressive, moving average processes are a dominant setting for dynamic econometrics. We constructed our economic models by adopting a version of recursive competitive theory in which an outcome of theorizing is a vector autoregression.
650			_aEconomía.
650			_aModelos matemáticos.
700	1		_aSargent, Thomas J., _d1943-
942			_cCG
999			_c115318 _d115318