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2014-07-21
NEP: New Economics Papers
Econometrics
Edited by:Sune Karlsson
Orebro University
Issue date:2014-06-28
Papers:16
This issue of nep-ecm is sponsored by the University of Girona. Applications are still open until July 15 for theMaster's in Economic Analysis of Public Policies (MEAPP) Program starting September 2014 in Girona, Spain. Find out more and register now!
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Contents.
  • Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion
    Date:2013-07-05
    By:David Kaplan (Department of Economics, University of Missouri-Columbia)
    URL:http://d.repec.org/n?u=RePEc:umc:wpaper:1313&r=ecm

    Keywords:Edgeworth expansion, fixed-smoothing asymptotics, inference, quantile, studentize, testing-optimal
    JEL:C01 C12 C21
  • Exact Distributional Inference Using the Dirichlet Distribution
    Date:2013-10-31
    By:David Kaplan (Department of Economics, University of Missouri-Columbia)
    Matt Goldman
    URL:http://d.repec.org/n?u=RePEc:umc:wpaper:1319&r=ecm

    Keywords:fractional order statistics, nonparametric statistics, quantile inference, quantile treatment effect
  • IDEAL Quantile Inference via Interpolated Duals of Exact Analytic L-statistics
    Date:2013-09-05
    By:David Kaplan (Department of Economics, University of Missouri-Columbia)
    Matt Goldman
    URL:http://d.repec.org/n?u=RePEc:umc:wpaper:1315&r=ecm

    Keywords:fractional order statistics, nonparametric statistics, quantile inference, quantile treatment effect
    JEL:C01 C12 C21
  • Sheep in Wolf’s Clothing: Using the Least Squares Criterion for Quantile Estimation
    Date:2014
    By:Heng Chen
    URL:http://d.repec.org/n?u=RePEc:bca:bocawp:14-24&r=ecm

    Keywords:Econometric and statistical methods
    JEL:C13 C14 C21
  • IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics
    Date:2013-09-05
    By:David Kaplan (Department of Economics, University of Missouri-Columbia)
    URL:http://d.repec.org/n?u=RePEc:umc:wpaper:1316&r=ecm

    Keywords:fractional order statistics, nonparametric statistics, quantile inference, quantile treatment effect
    JEL:C01 C12 C21
  • Smoothed Estimating Equations for Instrumental Variables Quantile Regression
    Date:2013-09-05
    By:David Kaplan (Department of Economics, University of Missouri-Columbia)
    Yixiao Sun
    URL:http://d.repec.org/n?u=RePEc:umc:wpaper:1314&r=ecm

    Keywords:bandwidth choice, higher-order properties, instrumental variables, quantile regression, smoothing
    JEL:C01 C12 C13 C21 C26
  • Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models
    Date:2014-05-19
    By:Markku Lanne (University of Helsinki and CREATES)
    Henri Nyberg (University of Helsinki)
    URL:http://d.repec.org/n?u=RePEc:aah:create:2014-17&r=ecm

    Keywords:Forecast error variance decomposition, generalized impulse response function, output growth, term spread
    JEL:C13 C32 C53
  • Two-Part Models for Fractional Responses Defined as Ratios of Integers
    Date:2014-06-17
    By:Harald Oberhofer
    Michael Pfaffermayr (WIFO)
    URL:http://d.repec.org/n?u=RePEc:wfo:wpaper:y:2014:i:472&r=ecm

    Keywords:Fractional response models for ratios of integers, one-part versus two-part models, Wald test, LM test, LR test
  • A Permutation Test and Estimation Alternatives for the Regression Kink Design
    Date:2014-01
    By:Peter Ganong
    Simon Jäger
    URL:http://d.repec.org/n?u=RePEc:qsh:wpaper:174531&r=ecm

  • Causality Networks
    Date:2014-06
    By:Ishanu Chattopadhyay
    URL:http://d.repec.org/n?u=RePEc:arx:papers:1406.6651&r=ecm

  • Predictive Inference on Finite Populations Segmented in Planned and Unplanned Domains
    Date:2014-02
    By:Juan Carlos Martínez-Ovando
    Sergio I. Olivares-Guzmán
    Adriana Roldán-Rodríguez   
    URL:http://d.repec.org/n?u=RePEc:bdm:wpaper:2014-04&r=ecm

    Keywords:Survey methods, robustness, species-sampling models
    JEL:C11 C14 C42 C81 C88 J31
  • Forecast rationality tests in the presence of instabilities, with applications to Federal Reserve and survey forecasts
    Date:2014-06
    By:Barbara Rossi
    Tatevik Sekhposyan
    URL:http://d.repec.org/n?u=RePEc:upf:upfgen:1426&r=ecm

    Keywords:Forecasting, forecast rationality, regression-based tests of forecasting ability, Greenbook forecasts, survey forecasts, real-time data
    JEL:C22 C52 C53
  • Exact fit of simple finite mixture models
    Date:2014-06
    By:Dirk Tasche
    URL:http://d.repec.org/n?u=RePEc:arx:papers:1406.6038&r=ecm

  • A generalized panel data switching regression model
    Date:2014-05-28
    By:Malikov, Emir
    Kumbhakar, Subal C.
    URL:http://d.repec.org/n?u=RePEc:pra:mprapa:56770&r=ecm
    This paper considers a generalized panel data model of polychotomous and/or sequential switching which can also accommodate the dependence between unobserved effects and covariates in the model. We showcase our model using an empirical illustration in which we estimate scope economies for the publicly owned electric utilities in the U.S. during the period from 2001 to 2003.
    Keywords:Correlated Effects, Multinomial Logit, Nested Logit, Panel Data, Polychotomous, Selection
    JEL:C33 C34
  • Input aggregation bias in technical efficiency with multiple criteria analysis
    Date:2014-06-12
    By:Casasnovas, Valero L.
    Aldanondo, Ana M.
    URL:http://d.repec.org/n?u=RePEc:pra:mprapa:56778&r=ecm
    We extend the Tauer (2001) and Färe et al. (2004) analyses of aggregation bias in technical efficiency measurement to multiple criteria decision analysis. We show input aggregation conditions consistent with multiple criteria evaluation of overall efficiency in conjunction with variation in aggregation bias.
    Keywords:Data Envelopment Analysis, Input aggregation, multiple objectives
    JEL:C61 D20
  • Dynamic State-Space Models
    Date:2014-06-03
    By:Karapanagiotidis, Paul
    URL:http://d.repec.org/n?u=RePEc:pra:mprapa:56807&r=ecm
    A review of the general state-space modeling framework. The discussion focuses heavily on the three prediction problems of forecasting, filtering, and smoothing within the state- space context. Numerous examples are provided detailing special cases of the state-space model and its use in solving a number of modeling issues. Independent sections are also devoted to both the topics of Factor models and Harvey’s Unobserved Components framework.
    Keywords:state-space models, signal extraction, unobserved components
    JEL:C10 C32 C51 C53 C58


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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