메뉴 건너뛰기




Volumn 190, Issue 1, 2016, Pages 148-175

Shrinkage estimation of dynamic panel data models with interactive fixed effects

Author keywords

Adaptive Lasso; Dynamic panel; Factor selection; Group Lasso; Interactive fixed effects; Oracle property; Selection consistency

Indexed keywords

ECONOMICS; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; PARAMETER ESTIMATION; SAMPLING; SHRINKAGE;

EID: 84947975792     PISSN: 03044076     EISSN: 18726895     Source Type: Journal    
DOI: 10.1016/j.jeconom.2015.09.005     Document Type: Article
Times cited : (71)

References (63)
  • 1
    • 84877901545 scopus 로고    scopus 로고
    • Eigenvalue ratio test for the number of factors
    • S. Ahn, and A. Horenstein Eigenvalue ratio test for the number of factors Econometrica 81 2013 1203 1227
    • (2013) Econometrica , vol.81 , pp. 1203-1227
    • Ahn, S.1    Horenstein, A.2
  • 2
    • 0037277111 scopus 로고    scopus 로고
    • Inferential theory for factors models of large dimensions
    • J. Bai Inferential theory for factors models of large dimensions Econometrica 71 2003 135 173
    • (2003) Econometrica , vol.71 , pp. 135-173
    • Bai, J.1
  • 3
    • 68349144362 scopus 로고    scopus 로고
    • Panel data models with interactive fixed effects
    • J. Bai Panel data models with interactive fixed effects Econometrica 77 2009 1229 1279
    • (2009) Econometrica , vol.77 , pp. 1229-1279
    • Bai, J.1
  • 5
    • 0036221554 scopus 로고    scopus 로고
    • Determining the number of factors in approximate factor models
    • J. Bai, and S. Ng Determining the number of factors in approximate factor models Econometrica 70 2002 191 221
    • (2002) Econometrica , vol.70 , pp. 191-221
    • Bai, J.1    Ng, S.2
  • 6
    • 33644538319 scopus 로고    scopus 로고
    • Evaluating latent and observed factors in macroeconomics and finance
    • J. Bai, and S. Ng Evaluating latent and observed factors in macroeconomics and finance J. Econometrics 131 2006 507 537
    • (2006) J. Econometrics , vol.131 , pp. 507-537
    • Bai, J.1    Ng, S.2
  • 7
    • 33846119127 scopus 로고    scopus 로고
    • Determining the number of primitive shocks in factor models
    • J. Bai, and S. Ng Determining the number of primitive shocks in factor models J. Bus. Econom. Statist. 25 2007 52 60
    • (2007) J. Bus. Econom. Statist. , vol.25 , pp. 52-60
    • Bai, J.1    Ng, S.2
  • 8
    • 0026277597 scopus 로고
    • Economic growth in a cross section of countries
    • R. Barro Economic growth in a cross section of countries Quart. J. Econom. 106 1991 407 443
    • (1991) Quart. J. Econom. , vol.106 , pp. 407-443
    • Barro, R.1
  • 9
    • 84881601254 scopus 로고    scopus 로고
    • Least squares after model selection in high-dimensional sparse models
    • A. Belloni, and V. Chernozhukov Least squares after model selection in high-dimensional sparse models Bernoulli 19 2013 521 547
    • (2013) Bernoulli , vol.19 , pp. 521-547
    • Belloni, A.1    Chernozhukov, V.2
  • 10
    • 84870205103 scopus 로고    scopus 로고
    • Sparse models and methods for optimal instruments with an application to eminent domain
    • A. Belloni, V. Chernozhukov, and C. Hansen Sparse models and methods for optimal instruments with an application to eminent domain Econometrica 80 2012 2369 2429
    • (2012) Econometrica , vol.80 , pp. 2369-2429
    • Belloni, A.1    Chernozhukov, V.2    Hansen, C.3
  • 12
    • 67650329805 scopus 로고    scopus 로고
    • Lasso-type GMM Estimator
    • M. Caner Lasso-type GMM Estimator Econometric Theory 25 2009 270 290
    • (2009) Econometric Theory , vol.25 , pp. 270-290
    • Caner, M.1
  • 13
    • 84925934601 scopus 로고    scopus 로고
    • Selecting the correct number of factors in approximate factor models: The large panel case with Bridge estimators
    • M. Caner, and X. Han Selecting the correct number of factors in approximate factor models: the large panel case with Bridge estimators J. Bus. Econom. Statist. 32 2014 359 374
    • (2014) J. Bus. Econom. Statist. , vol.32 , pp. 359-374
    • Caner, M.1    Han, X.2
  • 14
    • 84871479116 scopus 로고    scopus 로고
    • An alternative to unit root tests: Bridge estimators differentiate between nonstationary versus stationary models and select optimal lag
    • M. Caner, and K. Knight An alternative to unit root tests: Bridge estimators differentiate between nonstationary versus stationary models and select optimal lag J. Statist. Plann. Inference 143 2013 691 715
    • (2013) J. Statist. Plann. Inference , vol.143 , pp. 691-715
    • Caner, M.1    Knight, K.2
  • 15
    • 84929175974 scopus 로고    scopus 로고
    • Select the valid and relevant moments: An information-based LASSO for GMM with many moments
    • X. Cheng, and Z. Liao Select the valid and relevant moments: an information-based LASSO for GMM with many moments J. Econometrics 186 2015 443 464
    • (2015) J. Econometrics , vol.186 , pp. 443-464
    • Cheng, X.1    Liao, Z.2
  • 17
    • 84947352928 scopus 로고
    • Application of least squares regression to relationships containing auto-correlated error terms
    • D. Cochrane, and G.H. Orcutt Application of least squares regression to relationships containing auto-correlated error terms J. Amer. Statist. Assoc. 44 1949 32 61
    • (1949) J. Amer. Statist. Assoc. , vol.44 , pp. 32-61
    • Cochrane, D.1    Orcutt, G.H.2
  • 18
    • 66049125028 scopus 로고    scopus 로고
    • Growth econometrics
    • P. Aghion, S.N. Durlauf, North-Holland Amsterdam
    • S. Durlauf, P. Johnson, and J. Temple Growth econometrics P. Aghion, S.N. Durlauf, Handbook of Economic Growth Vol. 1A 2005 North-Holland Amsterdam
    • (2005) Handbook of Economic Growth , vol.1 A
    • Durlauf, S.1    Johnson, P.2    Temple, J.3
  • 19
    • 1542784498 scopus 로고    scopus 로고
    • Variable selection via nonconcave penalized likelihood and its oracle properties
    • J. Fan, and R. Li Variable selection via nonconcave penalized likelihood and its oracle properties J. Amer. Statist. Assoc. 96 2001 1348 1360
    • (2001) J. Amer. Statist. Assoc. , vol.96 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 20
    • 84902466882 scopus 로고    scopus 로고
    • Endogeneity in high dimensions
    • J. Fan, and Y. Liao Endogeneity in high dimensions Ann. Statist. 42 2014 872 917
    • (2014) Ann. Statist. , vol.42 , pp. 872-917
    • Fan, J.1    Liao, Y.2
  • 21
    • 24344502730 scopus 로고    scopus 로고
    • Nonconcave penalized likelihood with a diverging number of parameters
    • J. Fan, and H. Peng Nonconcave penalized likelihood with a diverging number of parameters Ann. Statist. 32 2004 928 961
    • (2004) Ann. Statist. , vol.32 , pp. 928-961
    • Fan, J.1    Peng, H.2
  • 23
    • 84861893894 scopus 로고    scopus 로고
    • Asymptotic distribution of factor augmented estimators for panel regression
    • R. Greenaway-McGrevy, C. Han, and D. Sul Asymptotic distribution of factor augmented estimators for panel regression J. Econometrics 169 2012 48 53
    • (2012) J. Econometrics , vol.169 , pp. 48-53
    • Greenaway-McGrevy, R.1    Han, C.2    Sul, D.3
  • 24
    • 34250778808 scopus 로고    scopus 로고
    • Determining the number of factors in the general dynamic factor model
    • M. Hallin, and R. Lis̈ka Determining the number of factors in the general dynamic factor model J. Amer. Statist. Assoc. 102 2007 603 617
    • (2007) J. Amer. Statist. Assoc. , vol.102 , pp. 603-617
    • Hallin, M.1    Lis̈ka, R.2
  • 25
    • 84861211116 scopus 로고    scopus 로고
    • Variable selection via the weighted group lasso for factor analysis models
    • K. Hirose, and S. Konishi Variable selection via the weighted group lasso for factor analysis models Canad. J. Statist. 40 2012 345 361
    • (2012) Canad. J. Statist. , vol.40 , pp. 345-361
    • Hirose, K.1    Konishi, S.2
  • 26
    • 49949115667 scopus 로고    scopus 로고
    • Asymptotic properties of bridge estimators in sparse high-dimensional regression models
    • J. Huang, J.L. Horowitz, and S. Ma Asymptotic properties of bridge estimators in sparse high-dimensional regression models Ann. Statist. 36 2008 587 613
    • (2008) Ann. Statist. , vol.36 , pp. 587-613
    • Huang, J.1    Horowitz, J.L.2    Ma, S.3
  • 27
    • 84959824913 scopus 로고
    • Growth empirics: A panel data approach
    • N. Islam Growth empirics: a panel data approach Quart. J. Econom. 110 1995 1127 1170
    • (1995) Quart. J. Econom. , vol.110 , pp. 1127-1170
    • Islam, N.1
  • 28
    • 84873179532 scopus 로고    scopus 로고
    • Nonparametric tests for poolability in panel data models with cross section dependence
    • S. Jin, and L. Su Nonparametric tests for poolability in panel data models with cross section dependence Econometric Rev. 32 2013 469 512
    • (2013) Econometric Rev. , vol.32 , pp. 469-512
    • Jin, S.1    Su, L.2
  • 29
    • 78649393421 scopus 로고    scopus 로고
    • A testing procedure for determining the number of factors in approximate factor models with large datasets
    • G. Kapetanios A testing procedure for determining the number of factors in approximate factor models with large datasets J. Bus. Econom. Statist. 28 2010 397 409
    • (2010) J. Bus. Econom. Statist. , vol.28 , pp. 397-409
    • Kapetanios, G.1
  • 30
    • 84927024464 scopus 로고    scopus 로고
    • Alternative approaches to estimation and inference in large multifactor panels: Small sample results with an application to modelling of asset return
    • G. Phillips, E. Tzavalis, Cambridge University Press Cambridge
    • G. Kapetanios, and M.H. Pesaran Alternative approaches to estimation and inference in large multifactor panels: small sample results with an application to modelling of asset return G. Phillips, E. Tzavalis, The Refinement of Econometric Estimation and Testing Procedures: Finite Sample and Asymptotic Analysis 2007 Cambridge University Press Cambridge
    • (2007) The Refinement of Econometric Estimation and Testing Procedures: Finite Sample and Asymptotic Analysis
    • Kapetanios, G.1    Pesaran, M.H.2
  • 31
    • 0034287156 scopus 로고    scopus 로고
    • Asymptotics for Lasso-type estimators
    • K. Knight, and W. Fu Asymptotics for Lasso-type estimators Ann. Statist. 28 2000 1356 1378
    • (2000) Ann. Statist. , vol.28 , pp. 1356-1378
    • Knight, K.1    Fu, W.2
  • 32
    • 84873628920 scopus 로고    scopus 로고
    • Oracle efficient variable selection in random and fixed effects panel data models
    • A.B. Kock Oracle efficient variable selection in random and fixed effects panel data models Econometric Theory 29 2013 115 152
    • (2013) Econometric Theory , vol.29 , pp. 115-152
    • Kock, A.B.1
  • 33
    • 54349104907 scopus 로고    scopus 로고
    • Profile-kernel likelihood inference with diverging number of parameters
    • C. Lam, and J. Fan Profile-kernel likelihood inference with diverging number of parameters Ann. Statist. 36 2008 2232 2260
    • (2008) Ann. Statist. , vol.36 , pp. 2232-2260
    • Lam, C.1    Fan, J.2
  • 34
    • 84861854354 scopus 로고    scopus 로고
    • Analysis of interactive fixed effects dynamic linear panel regression with measurement error
    • N. Lee, H.R. Moon, and M. Weidner Analysis of interactive fixed effects dynamic linear panel regression with measurement error Econom. Lett. 117 2012 239 242
    • (2012) Econom. Lett. , vol.117 , pp. 239-242
    • Lee, N.1    Moon, H.R.2    Weidner, M.3
  • 35
    • 15744376883 scopus 로고    scopus 로고
    • Model selection and inference: Facts and fiction
    • H. Leeb, and P.M. Pötscher Model selection and inference: facts and fiction Econometric Theory 21 2005 21 59
    • (2005) Econometric Theory , vol.21 , pp. 21-59
    • Leeb, H.1    Pötscher, P.M.2
  • 36
    • 36148997227 scopus 로고    scopus 로고
    • Sparse estimators and the oracle property, or the return of Hodges' estimator
    • H. Leeb, and P.M. Pötscher Sparse estimators and the oracle property, or the return of Hodges' estimator J. Econometrics 142 2008 201 211
    • (2008) J. Econometrics , vol.142 , pp. 201-211
    • Leeb, H.1    Pötscher, P.M.2
  • 37
    • 68949197985 scopus 로고    scopus 로고
    • On the distribution of penalized maximum likelihood estimators: The LASSO, SCAD, and thresholding
    • H. Leeb, and P.M. Pötscher On the distribution of penalized maximum likelihood estimators: the LASSO, SCAD, and thresholding J. Multivariate Anal. 100 2009 2065 2082
    • (2009) J. Multivariate Anal. , vol.100 , pp. 2065-2082
    • Leeb, H.1    Pötscher, P.M.2
  • 38
    • 84886900758 scopus 로고    scopus 로고
    • Adaptive GMM shrinkage estimation with consistent moment selection
    • Z. Liao Adaptive GMM shrinkage estimation with consistent moment selection Econometric Theory 29 2013 857 904
    • (2013) Econometric Theory , vol.29 , pp. 857-904
    • Liao, Z.1
  • 39
    • 84929839205 scopus 로고    scopus 로고
    • Automated estimation of vector error correction models
    • Z. Liao, and P.C.B. Phillips Automated estimation of vector error correction models Econometric Theory 31 2015 581 646
    • (2015) Econometric Theory , vol.31 , pp. 581-646
    • Liao, Z.1    Phillips, P.C.B.2
  • 40
    • 84937865458 scopus 로고    scopus 로고
    • Jackknife model averaging for quantile regressions
    • X. Lu, and L. Su Jackknife model averaging for quantile regressions J. Econometrics 188 2015 40 58
    • (2015) J. Econometrics , vol.188 , pp. 40-58
    • Lu, X.1    Su, L.2
  • 42
    • 84938149024 scopus 로고    scopus 로고
    • Linear regression for panel with unknown number of factors as interactive fixed effects
    • H. Moon, and M. Weidner Linear regression for panel with unknown number of factors as interactive fixed effects Econometrica 83 2015 1543 1579
    • (2015) Econometrica , vol.83 , pp. 1543-1579
    • Moon, H.1    Weidner, M.2
  • 44
    • 84867219269 scopus 로고    scopus 로고
    • Determinants of economic growth: A Bayesian panel data approach
    • E. Moral-Benito Determinants of economic growth: a Bayesian panel data approach Rev. Econom. Statist. 94 2012 566 579
    • (2012) Rev. Econom. Statist. , vol.94 , pp. 566-579
    • Moral-Benito, E.1
  • 45
    • 70349835782 scopus 로고    scopus 로고
    • Testing hypotheses about the number of factors in large factor models
    • A. Onatski Testing hypotheses about the number of factors in large factor models Econometrica 77 2009 1447 1479
    • (2009) Econometrica , vol.77 , pp. 1447-1479
    • Onatski, A.1
  • 46
    • 78650967353 scopus 로고    scopus 로고
    • Determining the number of factors from empirical distribution of eigenvalues
    • A. Onatski Determining the number of factors from empirical distribution of eigenvalues Rev. Econom. Statist. 92 2010 1004 1016
    • (2010) Rev. Econom. Statist. , vol.92 , pp. 1004-1016
    • Onatski, A.1
  • 47
    • 84860588430 scopus 로고    scopus 로고
    • Asymptotics of the principal components estimator of large factor models with weakly influential factors
    • A. Onatski Asymptotics of the principal components estimator of large factor models with weakly influential factors J. Econometrics 168 2012 244 258
    • (2012) J. Econometrics , vol.168 , pp. 244-258
    • Onatski, A.1
  • 48
    • 33745290412 scopus 로고    scopus 로고
    • Estimation and inference in large heterogeneous panels with a multifactor error structure
    • M.H. Pesaran Estimation and inference in large heterogeneous panels with a multifactor error structure Econometrica 74 2006 967 1012
    • (2006) Econometrica , vol.74 , pp. 967-1012
    • Pesaran, M.H.1
  • 49
    • 79952448406 scopus 로고    scopus 로고
    • Large panels with common factors and spatial correlation
    • M.H. Pesaran, and E. Tosetti Large panels with common factors and spatial correlation J. Econometrics 161 2011 182 202
    • (2011) J. Econometrics , vol.161 , pp. 182-202
    • Pesaran, M.H.1    Tosetti, E.2
  • 50
    • 65449179217 scopus 로고    scopus 로고
    • Conditional independence, conditional mixing and conditional association
    • B.L.S. Prakasa Rao Conditional independence, conditional mixing and conditional association Ann. Inst. Statist. Math. 61 2009 441 460
    • (2009) Ann. Inst. Statist. Math. , vol.61 , pp. 441-460
    • Prakasa Rao, B.L.S.1
  • 51
    • 55249111087 scopus 로고    scopus 로고
    • On conditional independence, mixing and association
    • G.G. Roussas On conditional independence, mixing and association Stoch. Anal. Appl. 26 2008 1274 1309
    • (2008) Stoch. Anal. Appl. , vol.26 , pp. 1274-1309
    • Roussas, G.G.1
  • 52
    • 21244440478 scopus 로고    scopus 로고
    • Determinants of long-term growth: A Bayesian averaging of classical estimates (BACE) approach
    • X. Sala-i-Martin, G. Doppelhofer, and R. Miller Determinants of long-term growth: a Bayesian averaging of classical estimates (BACE) approach Amer. Econ. Rev. 94 2004 813 835
    • (2004) Amer. Econ. Rev. , vol.94 , pp. 813-835
    • Sala-I-Martin, X.1    Doppelhofer, G.2    Miller, R.3
  • 53
    • 67349177002 scopus 로고    scopus 로고
    • On the distribution of the adaptive LASSO estimator
    • U. Schneider, and P.M. Pötscher On the distribution of the adaptive LASSO estimator J. Statist. Plann. Inference 139 2009 2775 2790
    • (2009) J. Statist. Plann. Inference , vol.139 , pp. 2775-2790
    • Schneider, U.1    Pötscher, P.M.2
  • 54
    • 84875764497 scopus 로고    scopus 로고
    • Testing homogeneity in panel data models with interactive fixed effects
    • L. Su, and Q. Chen Testing homogeneity in panel data models with interactive fixed effects Econometric Theory 29 2013 1079 1135
    • (2013) Econometric Theory , vol.29 , pp. 1079-1135
    • Su, L.1    Chen, Q.2
  • 55
    • 84861848463 scopus 로고    scopus 로고
    • Sieve estimation of panel data models with cross section dependence
    • L. Su, and S. Jin Sieve estimation of panel data models with cross section dependence J. Econometrics 169 2012 34 47
    • (2012) J. Econometrics , vol.169 , pp. 34-47
    • Su, L.1    Jin, S.2
  • 56
    • 85027952123 scopus 로고    scopus 로고
    • Specification test for panel data models with interactive fixed effects
    • L. Su, S. Jin, and Y. Zhang Specification test for panel data models with interactive fixed effects J. Econometrics 186 2015 222 244
    • (2015) J. Econometrics , vol.186 , pp. 222-244
    • Su, L.1    Jin, S.2    Zhang, Y.3
  • 58
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the LASSO
    • R.J. Tibshirani Regression shrinkage and selection via the LASSO J. Roy. Statist. Soc. Ser. B 58 1996 267 288
    • (1996) J. Roy. Statist. Soc. Ser. B , vol.58 , pp. 267-288
    • Tibshirani, R.J.1
  • 60
    • 34548536572 scopus 로고    scopus 로고
    • Tuning parameter selectors for the smoothly clipped absolute deviation method
    • H. Wang, R. Li, and C.-L. Tsai Tuning parameter selectors for the smoothly clipped absolute deviation method Biometrika 94 2007 553 568
    • (2007) Biometrika , vol.94 , pp. 553-568
    • Wang, H.1    Li, R.2    Tsai, C.-L.3
  • 61
    • 79251563147 scopus 로고    scopus 로고
    • Consistent group selection in high-dimensional linear regression
    • F. Wei, and J. Huang Consistent group selection in high-dimensional linear regression Bernoulli 16 2010 1369 1384
    • (2010) Bernoulli , vol.16 , pp. 1369-1384
    • Wei, F.1    Huang, J.2
  • 62
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • M. Yuan, and Y. Lin Model selection and estimation in regression with grouped variables J. Roy. Statist. Soc. Ser. B 68 2006 49 67
    • (2006) J. Roy. Statist. Soc. Ser. B , vol.68 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 63
    • 33846114377 scopus 로고    scopus 로고
    • The adaptive Lasso and its oracle properties
    • H. Zou The adaptive Lasso and its oracle properties J. Amer. Statist. Assoc. 101 2006 1418 1429
    • (2006) J. Amer. Statist. Assoc. , vol.101 , pp. 1418-1429
    • Zou, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.