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[学科前沿] NEP: New Economics Papers Econometrics 2014-06-02 [推广有奖]

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stoneyqiqi 发表于 2014-6-14 15:21:56 |AI写论文

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NEP: New Economics Papers
Econometrics
Edited by:Sune Karlsson
Orebro University
Issue date:2014-06-02
Papers:21
This issue of nep-ecm is sponsored by Ecomod Modeling School Europe. Places are available for courses in GAMS, Environmental Modeling, Eviews, and Quantitative Methods for Fiscal and Budgetary Policies. Application deadline:30 June 2014.
Access to full contents may be restricted. To subscribe/unsubscribe follow this link;http://lists.repec.org/mailman/options/nep-ecm
In this issue we have:Contents.
  • Testing for Cointegration with Temporally Aggregated and Mixed-frequency Time Series
    Date:2013-09
    By:Ghysels, Eric
    Miller, J. Isaac
    URL:http://d.repec.org/n?u=RePEc:cpr:ceprdp:9654&r=ecm

    Keywords:cointegration; mixed sampling frequencies; residual-based cointegration test; temporal aggregation; trace test
    JEL:C12 C32
  • The pairwise approach to model a large set of disaggregates with common trends
    Date:2014-05
    By:Guillermo Carlomagnol
    Antoni Espasa
    URL:http://d.repec.org/n?u=RePEc:cte:wsrepe:ws141309&r=ecm

    Keywords:Common trends, Cointegration, Factor Models, Disaggregation, Forecast model selection, Forecast Combination, Outliers treatment
  • On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Inference Estimators
    Date:2014-05-20
    By:Stelios Arvanitis
    Antonis Demos (www.aueb.gr/users/demos)
    URL:http://d.repec.org/n?u=RePEc:aue:wpaper:1406&r=ecm

    Keywords:Locally Uniform Edgeworth Expansions, Locally Uniform Moment Approximations, Bias Approximation, MSE Approximation, Binding Function, Recursive Indirect Estimators
    JEL:C10 C13
  • A fixed-T version of Breitung's panel data unit root test and its asymptotic local power
    By:Yiannis Karavias
    Elias Tzavalis
    URL:http://d.repec.org/n?u=RePEc:not:notgts:14/02&r=ecm

    Keywords:Panel unit root; local power function; serial correlation; incidental trends JEL classi?cation: C22, C23
  • Markov-Switching Mixed-Frequency VAR Models
    Date:2014-02
    By:Foroni, Claudia
    Guérin, Pierre
    Marcellino, Massimiliano
    URL:http://d.repec.org/n?u=RePEc:cpr:ceprdp:9815&r=ecm

    Keywords:Fore-; Markov-switching; MIDAS; Mixed-frequency VAR; Nowcasting
    JEL:C53 E32 E37
  • Testing for Granger Causality with Mixed Frequency Data
    Date:2013-09
    By:Ghysels, Eric
    Hill, Jonathan B.
    Motegi, Kaiji
    URL:http://d.repec.org/n?u=RePEc:cpr:ceprdp:9655&r=ecm

    Keywords:Granger causality; mixed data sampling (MIDAS); temporal aggression; vector autoregression (VAR)
    JEL:C12 C32
  • Mixed Tempered Stable distribution
    Date:2014-05
    By:Edit Rroji
    Lorenzo Mercuri
    URL:http://d.repec.org/n?u=RePEc:arx:papers:1405.7603&r=ecm

  • Fixed-smoothing Asymptotics and Asymptotic F and t Tests in the Presence of Strong Autocorrelation
    Date:2014-05-27
    By:Sun, Yixiao
    URL:http://d.repec.org/n?u=RePEc:cdl:ucsdec:qt8479f4s2&r=ecm

    Keywords:Social and Behavioral Sciences, Autocorrelation Robust Test, Fixed-smoothing Asymptotics, Local-to-Unity, Strong Autocorrelation, Weak Unit Root
  • Inference Based on SVAR Identified with Sign and Zero Restrictions: Theory and Applications
    Date:2014-01
    By:Arias, Jonas E.
    Rubio-Ramírez, Juan Francisco
    Waggoner, Daniel F
    URL:http://d.repec.org/n?u=RePEc:cpr:ceprdp:9796&r=ecm

    Keywords:Fiscal Shocks; Optimism; Sign and Zero Restrictions; SVARs
    JEL:C10
  • Analyzing business and financial cycles using multi-level factor models
    Date:2014-05
    By:Jörg Breitung
    Sandra Eickmeier
    URL:http://d.repec.org/n?u=RePEc:een:camaaa:2014-43&r=ecm

    Keywords:Factor models, canonical correlations, international business cycles, financial cycles, business cycle asymmetries
    JEL:C38
  • Optimal personalized treatment rules for marketing interventions: A review of methods, a new proposal, and an insurance case study
    Date:2014-05
    By:Leo Guelman (Royal Bank of Canada, RBC Insurance)
    Montserrat Guillen (Department of Econometrics, Riskcenter-IREA, Universitat de Barcelona)
    Ana M. Pérez-Marín (Department of Econometrics, Riskcenter-IREA, Universitat de Barcelona)
    URL:http://d.repec.org/n?u=RePEc:bak:wpaper:201406&r=ecm

    Keywords:personalized treatment learning, causal inference, marketing interventions
  • Structural analysis with independent innovations
    Date:2014
    By:Herwartz, Helmut
    URL:http://d.repec.org/n?u=RePEc:zbw:cegedp:208&r=ecm

    Keywords:structural innovations,identifying assumptions,SVAR,Cholesky decomposition,news shocks,monetary independence
    JEL:C32 G15
  • Structural FECM: Cointegration in large-scale structural FAVAR models
    Date:2014-03
    By:Banerjee, Anindya
    Marcellino, Massimiliano
    Masten, Igor
    URL:http://d.repec.org/n?u=RePEc:cpr:ceprdp:9858&r=ecm

    Keywords:Cointegration; Dynamic Factor Models; Factor-augmented Error Correction Models; FAVAR; Structural Analysis
    JEL:C32 E17
  • Persistent and Transient Productive Inefficiency: A Maximum Simulated Likelihood Approach
    Date:2014-05
    By:Massimo Filippini (ETH Zurich, Switzerland)
    William Greene (Stern School of Business, New York University, USA)
    URL:http://d.repec.org/n?u=RePEc:eth:wpswif:14-197&r=ecm

    Keywords:productive efficiency; stochastic frontier analysis; panel data; transient and persistent efficiency.
    JEL:C1 C23 D2 D24
  • Gravity model estimation: Fixed effects vs. random intercept poisson pseudo maximum likelihood
    Date:2014
    By:Prehn, Sören
    Brümmer, Bernhard
    Glauben, Thomas
    URL:http://d.repec.org/n?u=RePEc:zbw:iamodp:148&r=ecm

    Keywords:Gravity Model Estimation,Poisson Pseudo Maximum Likelihood,Fixed Effects Model,Random Intercept Model
    JEL:F1 C3
  • The seeming unreliability of rank-ordered data as a consequence of model misspecification
    Date:2014-05
    By:Yan, Jin
    Yoo, Hong Il
    URL:http://d.repec.org/n?u=RePEc:pra:mprapa:56285&r=ecm

    Keywords:rank-ordered logit, exploded logit, ranking, qualitative response,stated preference
    JEL:C25 C52 C81
  • Methods for Measuring Expectations and Uncertainty in Markov-Switching Models
    Date:2013-10
    By:Bianchi, Francesco
    URL:http://d.repec.org/n?u=RePEc:cpr:ceprdp:9705&r=ecm

    Keywords:Bayesian Methods; DSGE; Impulse responses; Markov-switching; Uncertainty; VAR; Welfare
    JEL:C11 C32 E31 E52 G12
  • No Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates
    Date:2014-03
    By:Carriero, Andrea
    Clark, Todd
    Marcellino, Massimiliano
    URL:http://d.repec.org/n?u=RePEc:cpr:ceprdp:9848&r=ecm

    Keywords:density forecasting; no arbitrage; stochastic volatility; Term structure
    JEL:C32 C53 G17
  • On the stationarity of Dynamic Conditional Correlation models
    Date:2014-05
    By:Jean-David Fermanian
    Hassan Malongo
    URL:http://d.repec.org/n?u=RePEc:arx:papers:1405.6905&r=ecm

  • Autoregressive augmentation of MIDAS regressions
    Date:2014
    By:Cláudia Duarte
    URL:http://d.repec.org/n?u=RePEc:ptu:wpaper:w201401&r=ecm

    JEL:C53 E37
  • Understanding Variation in Treatment Effects in Education Impact Evaluations: An Overview of Quantitative Methods.
    Date:2014-05-30
    By:Peter Z. Schochet
    Mike Puma
    John Deke
    URL:http://d.repec.org/n?u=RePEc:mpr:mprres:8128&r=ecm

    Keywords:Randomized Controlled Trials, Education Interventions, Quantitative Methods, Heterogeneity of Treatment Effects
    JEL:I


This nep–ecm issue is ©2014 by Sune Karlsson. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, it must include this copyright notice. It may not be sold, or placed in something else for sale.
General information on the NEP project can be found at http://nep.repec.org/. For comments please write to the director of NEP, Marco Novarese at < director @ nep point repec point org >.
NEP is sponsored by the Department of Economics, University of Auckland Business School.




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