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1. |
Record Nr. |
UNINA9910958629503321 |
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Autore |
Amisano Gianni |
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Titolo |
Topics in Structural VAR Econometrics / / by Gianni Amisano, Carlo Giannini |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
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ISBN |
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Edizione |
[2nd ed. 1997.] |
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Descrizione fisica |
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1 online resource (XIII, 181 p.) |
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Disciplina |
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Soggetti |
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Econometrics |
Quantitative Economics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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l: From VAR models to Structural VAR models -- 1.1. Origins of VAR modelling -- 1.2. Basic concepts of VAR analysis -- 1.3. Efficient estimation: the BVAR approach -- 1.4. Uses of VAR models -- 1.5. Different classes of Structural VAR models -- 1.6. The likelihood function for SVAR models -- 1.7. Structural VAR models vs. dynamic simultaneous equations models -- 1.8. Some examples of Structural VARs in the applied literature -- 2: Identification analysis and F.I.M.L. estimation for the K-Model -- 2.1. Identification analysis -- 2.2. F.I.M.L. estimation -- 3: Identification analysis and F.I.M.L. estimation for the C-Model -- 3.1. Identification analysis -- 3.2. F.I.M.L. estimation -- 4: Identification analysis and F.I.M.L. estimation for the AB-Model -- 4.1. Identification analysis -- 4.2. F.I.M.L. estimation -- 5: Impulse response analysis and forecast error variance decomposition in SVAR modeling -- 5.1. Impulse response analysis -- 5.2. Variance decomposition (by Antonio Lanzarotti) -- 5.3. Finite sample and asymptotic distributions for dynamic simulations -- 6: Long run a priori information. Deterministic components. Cointegration -- 6.1. Long run a priori information -- 6.2. Deterministic components -- 6.3. Cointegration -- 7: Model selection in Structural VAR analysis -- 7.1. General aspects of the model selection problem -- 7.2. The dominance ordering criterion -- 7.3. The likelihood dominance criterion (LDC) -- 8: The problem of non fundamental representations -- 8.1. Non |
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fundamental representations in time series models -- 8.2. Economic significance of non fundamental representations and examples -- 8.3. Non fundamental representations and applied SVAR analysis -- 8.4. An example -- 9: Two applications of Structural VAR analysis -- 9.1. A traditional interpretation of Italian macroeconomic fluctuations -- 9.2. The transmission mechanism among Italian interest rates -- Annex 1: The notions of reduced form and structure in Structural VAR modelling -- Annex 2: Some considerations on the semantics, choice and management of the K, C, and AB-models -- Appendix A -- Appendix B -- Appendix C (by Antonio Lanzarotti and Mario Seghelini) -- References. |
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Sommario/riassunto |
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In recent years a growing interest in the structural V AR approach (SV AR) has followed the path-breaking works by Blanchard and Watson (1986), Bernanke (1986) and Sims (1986), especially in the U.S. applied macroeconometric literature. The approach can be used in two different, partially overlapping, directions: the interpretation of business cycle fluctuations of a small number of significant macroeconomic variables and the identification of the effects of different policies. SV AR literature shows a common feature: the attempt to "organise", in a "structural" theoretical sense, instantaneous correlations among the relevant variables. In non-structural V AR modelling, instead, correlations are normally hidden in the variance covariance matrix of the V AR model innovations. of independent V AR analysis tries to isolate ("identify") a set shocks by means of a number of meaningful theoretical restrictions. The shocks can be regarded as the ultimate source of stochastic variation of the vector of variables which can all be seen as potentially endogenous. Looking at the development of SV AR literature we felt that it still lacked a formal general framework which could embrace the several types of models so far proposed for identification and estimation. This is the second edition of the book, which originally appeared as number 381 of the Springer series "Lecture notes in Economics of the first edition was Carlo and Mathematical Systems". The author Giannini. |
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2. |
Record Nr. |
UNINA9910163912303321 |
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Autore |
William Kienzle |
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Titolo |
Masquerade |
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Pubbl/distr/stampa |
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Andrews McMeel Publishing |
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ISBN |
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Descrizione fisica |
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1 online resource (288 p.) |
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Collana |
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The Father Koesler Mysteries |
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Disciplina |
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Soggetti |
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Catholics |
Clergy |
Koesler, Robert (Fictitious character) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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"A nice, tidy mystery . . . with characters who are plausible, intelligent, about whom we can care and with whom we might even empathize."--West Coast Review of Books "This tale should once again entertain the many fans of Kienzle's sleuth, Father Robert Koesler." --Booklist When Father Koesler agreed to serve as consultant at a mystery writers' conference, he--and the students--get more than they bargained for: a real murder mystery. Marygrove College's choice of the Reverend Klaus Krieg as the featured speaker at its conference was no surprise. The popular televangelist and publisher of sleaze was sure to draw a crowd. The real mystery was the choice of the other speakers--a rabbi, a nun, a monk, and an Episcopal priest--all successful mystery writers with another thing in common: They hated Krieg. Father Koesler's misgivings about serving as consultant to the conference were heightened when the speakers gathered without Reverend Krieg. Although they had never met each other, the speakers were remarkably rancorous about the absent guest. In fact, in one way or another, all of them said they would like to kill him. Was it any wonder, then, that when a murder too place suspicion should center on the speakers? Father Koesler was loath to believe that any of these people, all religious, could commit such a deed, but he felt obliged to call on Detroit Homicide's best detective, Alonzo "Zoo" Tully, and his old friend |
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Inspector Walter Koznicki. In this eleventh Father Koesler mystery, secrets of the human heart, which may elude professionals, are the province of the priest and the solution to the mystery. |
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