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Displaying results 1 to 23 of 23.

  1. Ex-voto d'Italia : Strategie di comportamento sociale, per grazia ricevuta
    Author: Grimaldi, Renato
    Published: 2020
    Publisher:  FrancoAngeli, Milan

    The volume tells us about the close relationship between heaven and earth, between the extraordinary and the everyday, between faith and science, highlighted by the countless episodes of piety that allow us to retrace history and grasp its... more

     

    The volume tells us about the close relationship between heaven and earth, between the extraordinary and the everyday, between faith and science, highlighted by the countless episodes of piety that allow us to retrace history and grasp its transformations, starting from the lived life of thousands of protagonists. In fact, the painted votive tablets prove to be an exceptional vector for reproducing and transmitting the values of the community: family, homeland, work, care for animals and the territory, use of means of transport and old and new technologies. In the ex-voto the cycles of life and seasons unfold and the impact on them of small and large natural or social disasters that recur over time with impressive regularity, unfortunately we find ourselves unprepared each time. In dealing with risks and calamities of all kinds, ex-votos women and men look upwards - with great dignity - asking them to survive, persist and replicate themselves as biological entities and cultural entities. The long sequence of events narrated in the ex-votos constitutes a sort of DNA of our nation, indispensable for shaping the country's future. Also for this reason, painted ex-votos must be detected, filed, preserved, protected, valued, studied and brought to the attention of the general public, as this volume proposes.

     
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    Source: OAPEN
    Language: Italian
    Media type: Ebook
    Format: Online
    ISBN: 9788835113089
    Subjects: Roman Catholicism, Roman Catholic Church; Popular culture; Popular beliefs & controversial knowledge; Folklore, myths & legends
    Other subjects: Ex-voto; Sanctuaries; Behavioral strategies; Identification; Votive tablets; Bodies in action
    Scope: 1 electronic resource (576 p.)
  2. A general theory of identification
    Author: Basse, Guillaume; Bojinov, Iavor
    Published: [2020]
    Publisher:  Harvard Business School, [Boston, MA]

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper / Harvard Business School ; 20, 086
    Subjects: Identification; Econometric Models; Data and Data Sets; Theory
    Scope: 1 Online-Ressource (circa 27 Seiten), Illustrationen
  3. Crossing the credit channel
    credit spreads and firm heterogeneity
    Author: Anderson, Gareth; Cesa-Bianchi, Ambrogio
    Published: 2020
    Publisher:  CFM, Centre for Macroeconomics, London

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Edition: This draft: January 29, 2020
    Series: CFM discussion paper series ; CFM-DP 2020, 05
    Subjects: Monetary Policy; Heterogeneity; Credit Spreads; Excess Bond Premium; Credit Channel; Financial Accelerator; Event Study; Identification
    Scope: 1 Online-Ressource (circa 74 Seiten), Illustrationen
  4. Peer effects in networks
    a survey
    Author: Bramoullé, Yann; Djebbari, Habiba; Fortin, Bernard
    Published: January 2020
    Publisher:  CIRANO, Centre interuniversitaire de recherche en analyse des organisations, Montréal

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Scientific series / CIRANO, Centre interuniversitaire de recherche en analyse des organisations ; 2020s, 02
    Subjects: Social Networks; Peer Effects; Identification; Causal Effects; Randomization; Measurement Errors
    Scope: 1 Online-Ressource (circa 41 Seiten)
  5. Under-identification of structural models based on timing and information set assumptions
    Author: Ackerberg, Daniel A.; Frazer, Garth; Kim, Kyoo Il; Luo, Yao; Su, Yingjun
    Published: November 07, 2020
    Publisher:  University of Toronto, Department of Economics, Toronto

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: [Working paper] / [Department of Economics, University of Toronto ; 679
    Subjects: Production Function; Identification; Timing and Information Set Assumptions; Market Persistence Factor; Monte Carlo Simulation
    Scope: 1 Online-Ressource (circa 37 Seiten), Illustrationen
  6. Three essays on microeconometric models of demand and their applications in empirical industrial organisation
    Author: Wang, Ao
    Published: [2020?]

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    Source: Union catalogues
    Language: English
    Media type: Dissertation
    Format: Online
    Subjects: Empirical industrial organisation; Structural econometrics; Identification; Demand for bundles; Revenue management
    Scope: 1 Online-Ressource (circa 192 Seiten)
    Notes:

    Enthält mehrere Beiträge

    Dissertation, Institut Polytechnique de Paris, 2020
  7. Measuring the transmission rate of COVID-19
    what can we learn from cross country comparisons?
    Author: Gao, Han; Nicolini, Juan Pablo
    Published: 2020
    Publisher:  Federal Reserve Bank of Minneapolis, Minneapolis, MN

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    Source: Union catalogues
    Language: English
    Media type: Book
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    Series: Working paper / Research Division, Federal Reserve Bank of Minneapolis ; no. 768 (May 2020)
    Subjects: Identification; Epidemiological models
    Scope: 1 Online-Ressource (circa 38 Seiten), Illustrationen
  8. Evaluating the effectiveness of policies against a pandemic
    Author: Alemán, Christian; Busch, Christopher; Ludwig, Alexander; Santaeulàlia-Llopis, Raül
    Published: 2020
    Publisher:  ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung GmbH Mannheim, Mannheim, Germany

    We develop a novel empirical approach to identify the effectiveness of policies against a pandemic. The essence of our approach is the insight that epidemic dynamics are best tracked over stages, rather than over time. We use a normalization... more

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    We develop a novel empirical approach to identify the effectiveness of policies against a pandemic. The essence of our approach is the insight that epidemic dynamics are best tracked over stages, rather than over time. We use a normalization procedure that makes the pre-policy paths of the epidemic identical across regions. The procedure uncovers regional variation in the stage of the epidemic at the time of policy implementation. This variation delivers clean identification of the policy effect based on the epidemic path of a leading region that serves as a counterfactual for other regions. We apply our method to evaluate the effectiveness of the nationwide stay-home policy enacted in Spain against the Covid-19 pandemic. We find that the policy saved 15:9% of lives relative to the number of deaths that would have occurred had it not been for the policy intervention. Its effectiveness evolves with the epidemic and is larger when implemented at earlier stages.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/226362
    Series: Discussion paper / ZEW ; no. 20, 068 (11/2020)
    Subjects: Macroeconomics; Pandemic; Stages; Covid-19; Stay-Home; Policy Effects; Identification
    Scope: 1 Online-Ressource (33 Seiten), Illustrationen
  9. Identifyingthe distribution of random coefficients in BLP demand models using one single variation in product characteristics
    Author: Wang, Ao
    Published: [2020]
    Publisher:  University of Warwick, Department of Economics, Coventry, United Kingdom

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    Source: Union catalogues
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    Media type: Book
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    Series: Warwick economics research papers ; no: 1304 (September 2020)
    Subjects: Identification; RandomCo efficients; BLPMo del; Demand
    Scope: 1 Online-Ressource (circa 20 Seiten)
  10. Heterogeneous coefficients, control variables, and identification of treatment effects
    Author: Newey, Whitney K.; Stouli, Sami
    Published: [2020]
    Publisher:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    Multidimensional heterogeneity and endogeneity are important features of models with multiple treatments. We consider a heterogeneous coefficients model where the outcome is a linear combination of dummy treatment variables, with each variable... more

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    Multidimensional heterogeneity and endogeneity are important features of models with multiple treatments. We consider a heterogeneous coefficients model where the outcome is a linear combination of dummy treatment variables, with each variable representing a different kind of treatment. We use control variables to give necessary and sufficient conditions for identification of average treatment effects. With mutually exclusive treatments we find that, provided the generalized propensity scores (Imbens, 2000) are bounded away from zero with probability one, a simple identification condition is that their sum be bounded away from one with probability one. These results generalize the classical identification result of Rosenbaum and Rubin (1983) for binary treatments.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/241920
    Series: Cemmap working paper ; CWP20, 45
    Subjects: Treatment effect; Multiple treatments; Heterogeneous coefficients; Control variable; Identification; Conditional nonsingularity; Propensity score
    Scope: 1 Online-Ressource (circa 9 Seiten)
  11. Identification of structural VAR models via independent component analysis: a performance evaluation study
    Author: Moneta, Alessio; Pallante, Gianluca
    Published: [2020]
    Publisher:  LEM, Laboratory of Economics and Management, Institute of Economics, Scuola Superiore Sant'Anna, Pisa, Italy

    Independent Component Analysis (ICA) is a statistical method that transforms a set of random variables in least dependent linear combinations. Under the assumption that the observed data are mixtures of non-Gaussian and independent processes, ICA is... more

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    Independent Component Analysis (ICA) is a statistical method that transforms a set of random variables in least dependent linear combinations. Under the assumption that the observed data are mixtures of non-Gaussian and independent processes, ICA is able to recover the underlying components, but a scale and order indeterminacy. Its application to structural vector autoregressive (SVAR) models allows the researcher to recover the impact of independent structural shocks on the observed series from estimated residuals. We analyze different ICA estimators, recently proposed within the field of SVAR identification, and compare their performance in recovering structural coefficients. Moreover, after suggesting an algorithm that solve the ICA indeterminacy problem, we assess the size distortions of the estimators in hypothesis testing. We conduct our analysis by focusing on distributional scenarios that get gradually close the Gaussian case, which is the case where ICA methods fail to recover the independent components. In terms of statistical properties of the ICA estimators, we find no evidence that a method outperforms all others. We finally present an empirical illustration using US data to identify the effects of government spending and tax cuts on economic activity, thus providing an example where ICA techniques can be used for hypothesis testing.

     
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    Source: Union catalogues
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    Media type: Book
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    Other identifier:
    hdl: 10419/243482
    Series: LEM working paper series ; 2020, 24 (September 2020)
    Subjects: Independent Component Analysis; Identification; Structural VAR; Impulse response functions; Non-Gaussianity; Generalized normal distribution
    Scope: 1 Online-Ressource (circa 38 Seiten), Illustrationen
  12. Identifying behavioral responses to tax reforms
    new insights and a new approach
    Author: Jakobsen, Katrine Marie; Søgaard, Jakob Egholt
    Published: [2020]
    Publisher:  CEBI, Department of Economics, University of Copenhagen, Copenhagen

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/258937
    Series: CEBI working paper series ; 20, 23
    Subjects: Tax Reforms; Behavioral Responses; Identification; Validation
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  13. The (in)stability of stock returns and monetary policy interdependence in the US
    Author: Carlevaro, Emiliano A.; Magnusson, Leandro M.
    Published: [2020]
    Publisher:  The University of Western Australia, Economics, [Crawley, WA]

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    Media type: Book
    Format: Online
    Series: Discussion paper / The University of Western Australia, Economics ; 20, 27
    Subjects: Structural VAR; Identification; Instability; Monetary Policy
    Scope: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  14. Evaluating the effectiveness of policies against a pandemic
    Author: Alemán, Christian; Busch, Christopher; Ludwig, Alexander; Santaeulàlia-Llopis, Raül
    Published: October 2020
    Publisher:  GSE, Graduate School of Economics, Barcelona

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    Media type: Book
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    Series: Barcelona GSE working paper series ; no 1209
    Subjects: Macroeconomics; Pandemic; Stages; Covid-19; Stay-Home; Policy Effects; Identification
    Scope: 1 Online-Ressource (circa 35 Seiten), Illustrationen
  15. Evaluating the effectiveness of policies against a pandemic
    Author: Alemán, Christian; Busch, Christopher; Ludwig, Alexander; Santaeulàlia-Llopis, Raül
    Published: [2020]
    Publisher:  mea - Munich Center for the Economics of Aging, Munich

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    Media type: Book
    Format: Online
    Series: MEA discussion papers ; 2020, 17
    Subjects: Macroeconomics; Pandemic; Stages; Covid-19; Stay-Home; Policy Effects; Identification
    Scope: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  16. Evaluating the effectiveness of policies against a pandemic
    Author: Alemán, Christian; Busch, Christopher; Ludwig, Alexander; Santaeulàlia-Llopis, Raül
    Published: [2020]
    Publisher:  Leibniz Institute for Financial Research SAFE, Sustainable Architecture for Finance in Europe, Frankfurt am Main

    We develop a novel empirical approach to identify the effectiveness of policies against a pandemic. The essence of our approach is the insight that epidemic dynamics are best tracked over stages, rather than over time. We use a normalization... more

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    We develop a novel empirical approach to identify the effectiveness of policies against a pandemic. The essence of our approach is the insight that epidemic dynamics are best tracked over stages, rather than over time. We use a normalization procedure that makes the pre-policy paths of the epidemic identical across regions. The procedure uncovers regional variation in the stage of the epidemic at the time of policy implementation. This variation delivers clean identification of the policy effect based on the epidemic path of a leading region that serves as a counterfactual for other regions. We apply our method to evaluate the effectiveness of the nationwide stay-home policy enacted in Spain against the Covid-19 pandemic. We find that the policy saved 15.9% of lives relative to the number of deaths that would have occurred had it not been for the policy intervention. Its effectiveness evolves with the epidemic and is larger when implemented at earlier stages.

     
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    Source: Union catalogues
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    Media type: Book
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    Other identifier:
    hdl: 10419/226212
    Series: SAFE working paper ; no. 294
    Subjects: Macroeconomics; Pandemic; Stages; Covid-19; Stay-Home; Policy Effects; Identification
    Scope: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  17. Reusing natural experiments
    Author: Heath, Davidson; Ringgenberg, Matthew; Samadi, Mehrdad; Werner, Ingrid M.
    Published: 04 May 2020
    Publisher:  Centre for Economic Policy Research, London

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    Universitätsbibliothek Mannheim
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    Language: English
    Media type: Book
    Format: Online
    Series: Array ; DP14710
    Subjects: False Positive; Identification; Multiple Hypothesis Testing; Natural Experiments
    Scope: 1 Online-Ressource (circa 70 Seiten), Illustrationen
  18. Filtered and unfiltered treatment effects with targeting instruments
    Author: Lee, Sokbae; Salanié, Bernard
    Published: 23 July 2020
    Publisher:  Centre for Economic Policy Research, London

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    Language: English
    Media type: Book
    Format: Online
    Series: Array ; DP15092
    Subjects: Identification; selection; multivalued treatments; discrete instruments; unordered monotonicity; factorial design
    Scope: 1 Online-Ressource (circa 63 Seiten), Illustrationen
  19. Identifying the causal role of CO2 during the ice ages
    Author: Castle, Jennifer; Hendry, David F.
    Published: [2020]
    Publisher:  Department of Economics, University of Oxford, Oxford

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    Series: Department of Economics discussion paper series / University of Oxford ; number 898 (January 2020)
    Subjects: Climate Econometrics; Model Selection; Outliers; Identification; Saturation Estimation; Autometrics; Ice Ages
    Scope: 1 Online-Ressource (circa 25 Seiten), Illustrationen
  20. Does Obamacare care?
    a fuzzy difference-in-discontinuities approach
    Author: Galindo-Silva, Hector; Somé, Nibene Habib; Tchuente, Guy
    Published: [2020]
    Publisher:  Global Labor Organization (GLO), Essen

    This paper explores the use of a fuzzy regression discontinuity design where multiple treatments are applied at the threshold. The identification results show that, under the very strong assumption that the change in the probability of treatment at... more

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    This paper explores the use of a fuzzy regression discontinuity design where multiple treatments are applied at the threshold. The identification results show that, under the very strong assumption that the change in the probability of treatment at the cutoff is equal across treatments, a differencein- discontinuities estimator identifies the treatment effect of interest. The point estimates of the treatment effect using a simple fuzzy difference-in-discontinuities design are biased if the change in the probability of a treatment applying at the cutoff differs across treatments. Modifications of the fuzzy difference-in-discontinuities approach that rely on milder assumptions are also proposed. Our results suggest caution is needed when applying before-and-after methods in the presence of fuzzy discontinuities. Using data from the National Health Interview Survey, we apply this new identification strategy to evaluate the causal effect of the Affordable Care Act (ACA) on older Americans' health care access and utilization. Our results suggest that the ACA has (1) led to a 5% increase in the hospitalization rate of elderly Americans, (2) increased the probability of delaying care for cost reasons by 3.6%, and (3) exacerbated cost-related barriers to follow-up care and continuity of care: 7.0% more elderly individuals could not afford prescriptions, 7.2% more could not see a specialist, and 5.5% more could not afford a follow-up visit. Our results can be explained by an increase in the demand for health services without a corresponding adjustment in supply following the implementation of the ACA.

     
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    hdl: 10419/224258
    Series: GLO discussion paper ; no. 666
    Subjects: Fuzzy Difference-in-Discontinuities; Identification; Regression Discontinuity Design; Affordable Care Act
    Scope: 1 Online-Ressource (circa 65 Seiten), Illustrationen
  21. Identifizieren: Theorie und Geschichte einer Medienpraktik
    Author: Gießmann, Sebastian
    Published: September 2020
    Publisher:  Collaborative Research Center 1187 Media of Cooperation, Siegen

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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Print
    Series: Working paper series ; No. 17
    Subjects: Medientheorie
    Other subjects: Medientheorie; Medientechnik; Informationstechnik; Mustererkennung; Identifizierung; Identification; Media theory; Image recognition; Biometrics; Data-processing
    Scope: 14 Seiten, 30 cm
  22. Identifizieren: Theorie und Geschichte einer Medienpraktik
    Author: Gießmann, Sebastian
    Published: 2020
    Publisher:  Universitätsbibliothek der Universität Siegen, Siegen

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    Language: German
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    Series: Working paper series / SFB 1187 Medien der Kooperation; 17
    Subjects: Medientheorie; Kreditkarte; Geschichtetes Medium; Zahlung; Medientheorie
    Other subjects: Medientheorie; Medientechnik; Informationstechnik; Mustererkennung; Identifizierung; Identification; Media theory; Image recognition; Biometrics; Data-processing
    Scope: Online-Ressource
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  23. Predicting item difficulty in a reading test
    a construct identification study of the Austrian 2009 baseline English reading test
    Author: Siller, Klaus
    Published: [2020]
    Publisher:  Peter Lang, Berlin

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