000 | 01668cam a2200241 a 4500 | ||
---|---|---|---|
001 | 137327 | ||
005 | 20170106112213.0 | ||
008 | 960423s1996 enka b 001 0 eng | ||
020 | _a9780198774754 | ||
040 | _aISI Library | ||
082 | 0 | 4 |
_a330.015195 _223 _bG716 |
100 | 1 |
_aGourieroux, Christian, _eauthor |
|
245 | 1 | 0 |
_aSimulation-based econometric methods / _cChristian Gourieroux and Alain Monfort. |
260 |
_aOxford : _bOxford University Press, _c1996. |
||
300 |
_ax, 174 p. : _bill. ; _c24 cm. |
||
490 | 0 | _aCORE lectures | |
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _a1. Introduction and Motivations -- 2. The Method of Simulated Moments (MSM) -- 3. Simulated Maximum Likelihood, Pseudo-Maximum Likelihood, and Nonlinear Least Squares Methods -- 4. Indirect Inference -- 5. Applications to Limited Dependent Variable Models -- 6. Applications to Financial Series -- 7. Applications to Switching Regime Models. | |
520 | _aSimulation-Based Econometric Methods introduces a new generation of econometric methods in the classical domain. After linear models leading to analytical expressions for estimators and non-linear models using numerical optimization algorithms, the availability of high-speed computing has enabled econometricians to consider econometric models without simple analytical expressions. The previous difficulties presented, for instance, by the presence of integrals of large dimensions in the probability density functions or in the moments can be circumvented by a simulation-based approach. | ||
650 | 0 | _aEconometric models. | |
700 | 1 |
_aMonfort, Alain, _eauthor |
|
942 |
_2ddc _cBK |
||
999 |
_c421192 _d421192 |