ScholarGate
Asisten

Bandingkan metode

Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.

Estimator Ordinary Least Squares Dinamis (DOLS)×Uji Kointegrasi Panel (Pedroni, Kao, Westerlund)×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal19932004
PencetusStock & Watson (1993); panel extension Kao & Chiang (2001)Pedroni; Kao; Westerlund
TipeCointegrating regression estimatorPanel cointegration test
Sumber perintisStock, J. H. & Watson, M. W. (1993). A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems. Econometrica, 61(4), 783–820. DOI ↗Pedroni, P. (2004). Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis. Econometric Theory, 20(3), 597–625. DOI ↗
AliasDOLS, Stock-Watson dynamic OLS, dynamic least squares cointegration estimator, Dinamik OLS (DOLS)Pedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium tests
Terkait53
RingkasanDynamic OLS is a cointegrating-regression estimator introduced by Stock and Watson (1993) that recovers the long-run relationship between I(1) variables. It augments the static regression with leads and lags of the differenced regressors, correcting endogeneity bias parametrically so that the long-run coefficient can be estimated by ordinary least squares.Panel cointegration tests check whether a set of integrated variables share a stable long-run equilibrium relationship across a panel of cross-sectional units. Pedroni (1999, 2004) provides heterogeneous-panel tests with seven statistics, Kao (1999) gives an ADF-based homogeneous-panel test, and Westerlund (2007) adds error-correction-based tests robust to structural breaks and cross-sectional dependence.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: Dynamic OLS · Panel Cointegration Tests. Diakses 2026-06-18 dari https://scholargate.app/id/compare