Comparing dynamic multisector models

被引:2
|
作者
Miranda-Pinto, Jorge [1 ]
Young, Eric R. [2 ,3 ]
机构
[1] Univ Queensland, Sch Econ, Brisbane, Qld, Australia
[2] Univ Virginia, Dept Econ, Charlottesville, VA 22903 USA
[3] Zhejiang Univ, Dept Econ, Hangzhou, Zhejiang, Peoples R China
关键词
Dynamic multisector models; Intratemporal adjustment costs; Sector-specific capital; SHOCKS;
D O I
10.1016/j.econlet.2019.04.028
中图分类号
F [经济];
学科分类号
02 ;
摘要
We construct a multisector DSGE model with input-output linkages and a single type of physical capital that is costly to reallocate across sectors. Our model with intratemporal costs of allocating capital fits sectoral output data as well as existing models with sector-specific capital, both in terms of volatility and comovement with aggregate output as well as pairwise correlations between sectors. The spectra of sectoral output produced by our model is similar to those from the other models. The importance of sectoral shocks in our model is also similar to those from other models. However, our simplified model is much more amenable to extensions involving occasionally-binding constraints than the competitor models that feature large state spaces. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:28 / 32
页数:5
相关论文
共 50 条
  • [31] Existence of optimal strategies in linear multisector models with several consumption goods
    Freni G.
    Gozzi F.
    Salvadori N.
    [J]. Decisions in Economics and Finance, 2017, 40 (1-2) : 199 - 229
  • [32] Optimal strategies in linear multisector models: Value function and optimality conditions
    Freni, Giuseppe
    Gozzi, Fausto
    Pignotti, Cristina
    [J]. JOURNAL OF MATHEMATICAL ECONOMICS, 2008, 44 (01) : 55 - 86
  • [33] Identification of multivariable, linear, dynamic models: Comparing regression and subspace techniques
    Juricek, BC
    Seborg, DE
    Larimore, WE
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2002, 41 (09) : 2185 - 2203
  • [34] Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG
    Jafarian, Amirhossein
    Litvak, Vladimir
    Cagnan, Hayriye
    Friston, Karl J.
    Zeidman, Peter
    [J]. NEUROIMAGE, 2020, 216
  • [35] ACEt: An R Package for Estimating Dynamic Heritability and Comparing Twin Models
    He, Liang
    Pitkaniemi, Janne
    Silventoinen, Karri
    Sillanpaa, Mikko J.
    [J]. BEHAVIOR GENETICS, 2017, 47 (06) : 620 - 641
  • [36] Comparing simple respiration models for eddy flux and dynamic chamber data
    Richardson, Andrew D.
    Braswell, Bobby H.
    Hollinger, David Y.
    Burman, Prabir
    Davidson, Eric A.
    Evans, Robert S.
    Flanagan, Lawrence B.
    Munger, J. William
    Savage, Kathleen
    Urbanski, Shawn P.
    Wofsy, Steven C.
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2006, 141 (2-4) : 219 - 234
  • [37] ACEt: An R Package for Estimating Dynamic Heritability and Comparing Twin Models
    Liang He
    Janne Pitkäniemi
    Karri Silventoinen
    Mikko J. Sillanpää
    [J]. Behavior Genetics, 2017, 47 : 620 - 641
  • [38] Comparing Dynamic Causal Models using AIC, BIC and Free Energy
    Penny, W. D.
    [J]. NEUROIMAGE, 2012, 59 (01) : 319 - 330
  • [39] ENDOGENOUS CYCLES IN DISCRETE SYMMETRICAL MULTISECTOR OPTIMAL-GROWTH MODELS
    CARTIGNY, P
    VENDITTI, A
    [J]. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1995, 86 (01) : 17 - 36
  • [40] Weak concavity properties of indirect utility functions in multisector optimal growth models
    Venditti, Alain
    [J]. INTERNATIONAL JOURNAL OF ECONOMIC THEORY, 2012, 8 (01) : 13 - 26