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What (really) accounts for the fall in hours after a technology shock? [[electronic resource] /] / prepared by Nooman Rebei



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Autore: Rebei Nooman <1972-> Visualizza persona
Titolo: What (really) accounts for the fall in hours after a technology shock? [[electronic resource] /] / prepared by Nooman Rebei Visualizza cluster
Pubblicazione: Washington, DC, : International Monetary Fund, 2012
Descrizione fisica: 1 online resource (42 p.)
Soggetto topico: Labor supply - Effect of technological innovations on - Mathematical models
Hours of labor - Effect of technological innovations on - Econometric models
Soggetto genere / forma: Electronic books.
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Cover; Contents; I. Introduction; II. Stylized facts and the RBC model; A. Stylized facts; Figures; 1. SVAR IRFs following a technology shock; B. The benchmark RBC model; 1. Representative household's and firm's problems; 2. Impulse-response functions; III. Alternative models; A. The sticky price (SP) model; 2. Impulse-response functions: SVAR versus the standard RBC model; B. The entry-exit (EE) model; 3. Impulse-response functions: SVAR versus the SP model; C. The habit in consumption (HC) model; 4. Impulse-response functions: SVAR versus the EE model
5. Impulse-response functions: SVAR versus the HC modelD. The persistent technology shock (PT) model; E. The labor friction (LF) model; 6. Impulse-response functions: SVAR versus the PT model; F. The Leontief production (LP) model; 7. Impulse-response functions: SVAR versus the LF model; IV. Full information estimation and model comparison; 8. Impulse-response functions: SVAR versus the LP model; A. Priors and data; Tables; 1. Prior distributions of parameters; B. Estimation results and model comparison; 2. Parameter Estimation Results; C. Impulse-response functions
9. IRFs of the Alternative Estimated ModelsD. Autocorrelation functions; 10. Autocorrelations of the Alternative Models; 3. Autocorrelation statistics; V. Robustness; 4. Estimation results with sticky wages; 11. Autocorrelations: SP versus HC model; VI. Conclusion; References
Sommario/riassunto: The paper asks how state of the art DSGE models that account for the conditional response of hours following a positive neutral technology shock compare in a marginal likelihood race. To that end we construct and estimate several competing small-scale DSGE models that extend the standard real business cycle model. In particular, we identify from the literature six different hypotheses that generate the empirically observed decline in worked hours after a positive technology shock. These models alternatively exhibit (i) sticky prices; (ii) firm entry and exit with time to build; (iii) habit in
Titolo autorizzato: What (really) accounts for the fall in hours after a technology shock  Visualizza cluster
ISBN: 1-4755-2415-3
1-4755-5236-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910461979103321
Lo trovi qui: Univ. Federico II
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Serie: IMF Working Papers