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Panel Data Inference under Spatial Dependence. (2010). Baltagi, Badi ; Pirotte, Alain.
In: Center for Policy Research Working Papers.
RePEc:max:cprwps:123.

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  2. A note on national leadership and technology in moderating finance-growth nexus. (2023). TANG, Chor Foon ; Salisu, Mannir.
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  3. Stochastic convergence of per capita greenhouse gas emissions: New unit root tests with breaks and a factor structure. (2022). Nazlioglu, Saban ; Islam, Md Towhidul ; Lee, Jun Soo ; Payne, James E.
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  4. Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity. (2021). Yao, Xin ; Cheng, Yuanyuan.
    In: Renewable and Sustainable Energy Reviews.
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  5. Socio-economic development and child sex ratio in India: revisiting the debate using spatial panel data regression. (2020). Haldar, Sushil ; Kr, Sushil ; Bhattacharyya, Antara.
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  6. Forecasting using heterogeneous panels with cross-sectional dependence. (2020). Urga, Giovanni ; Pirotte, Alain ; Akgun, Oguzhan.
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  7. Bubbles or fundamentals? Modeling provincial house prices in China allowing for cross-sectional dependence. (2019). Shen, Yan ; Mao, Guangyu.
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  8. Can we explain pesticide price trend by the regulation changes ?. (2018). Fadhuile, A.
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  9. Neglected dynamics and spatial dependence on panel data: consequences for convergence of the usual static model estimators. (2017). mur, jesus ; Pirotte, Alain.
    In: Spatial Economic Analysis.
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  10. Do Regions Benefit from Active Labour Market Policies? A Macroeconometric Evaluation Using Spatial Panel Methods. (2016). Dauth, Wolfgang ; Hujer, Reinhard.
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  11. Heteroskedasticity Robust Panel Unit Root Testing Under Variance Breaks in Pooled Regressions. (2016). Walle, Yabibal ; Herwartz, Helmut ; Siedenburg, Florian .
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  12. Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models. (2016). Resende, Guilherme ; Cravo, Túlio ; Sakowski, Patricia ; Carvalho, Alexandre.
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  13. Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models. (2016). Resende, Guilherme ; Cravo, Túlio ; Morita, Patricia Alessandra ; Ywata, Alexandre Xavier.
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  14. Estimation of heterogeneous panels with structural breaks. (2016). Kao, Chihwa ; Feng, Qu ; Baltagi, Badi.
    In: Journal of Econometrics.
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  15. Testing for Spacial Lag and Spatial Error Dependence in a Fixed Effects Panel Data Model Using Double Length Artificial Regressions. (2015). Baltagi, Badi ; Liu, Long.
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  16. Estimation of Heterogeneous Panels with Structural Breaks. (2015). Kao, Chihwa ; Feng, Qu ; Baltagi, Badi.
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  17. Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970-2000). (2015). Resende, Guilherme ; Morita Sakowski, Patricia ; Alexandre Xavier Ywata de Carvalho, ; Patricia Alessandra Morita Sakowski, .
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  18. Prediction in a spatial nested error components panel data model. (2014). Baltagi, Badi ; Pirotte, Alain.
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  19. Estimating and Forecasting with a Dynamic Spatial Panel Data Model. (2014). Fingleton, Bernard ; Baltagi, Badi ; Pirotte, Alain.
    In: Oxford Bulletin of Economics and Statistics.
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  20. EVALUATING MULTIPLE SPATIAL DIMENSIONSOF ECONOMIC GROWTH IN BRAZIL USING SPATIAL PANEL DATA MODELS, 1970-2000. (2014). Resende, Guilherme ; Morita Sakowski, Patricia ; Alexandre Xavier Ywata de Carvalho, ; Patricia Alessandra Morita Sakowski, .
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  21. Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000). (2013). Resende, Guilherme ; Morita Sakowski, Patricia ; Alexandre Xavier Ywata de Carvalho, ; Patricia Alessandra Morita Sakowski, .
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  22. Estimating and Forecasting With A Dynamic Spatial Panel Data Model. (2012). Fingleton, Bernard ; Baltagi, Badi ; Pirotte, Alain.
    In: Center for Policy Research Working Papers.
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  23. A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011). (2011). arbia, giuseppe.
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  24. Editorial. (2011). Roberts, Mark ; Monastiriotis, Vassilis ; McCann, Philip ; McCombie, John ; Le Gallo, Julie ; Igliori, Danilo ; Garretsen, Harry ; Fingleton, Bernard ; Cheshire, Paul ; Moore, B..
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  25. Estimating and forecasting with a dynamic spatial panel data model. (2011). Fingleton, Bernard ; Baltagi, Badi ; Pirotte, Alain.
    In: LSE Research Online Documents on Economics.
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  26. Estimating and Forecasting with a Dynamic Spatial Panel Data Model. (2011). Fingleton, Bernard ; Baltagi, Badi ; Pirotte, Alain.
    In: SERC Discussion Papers.
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References

References cited by this document

  1. σ σ σ σ , asymmetric one-order contiguity matrix, 1000 replications.
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  11. Breusch, T.S., 1987, Maximum likelihood estimation of random effects models, Journal of Econometrics 36, 383-389.

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  25. Table 19 – Hausman test, percentage of rejections of H0 at 5% significance level for N= = = =50, 1000 replications. True model SAR-RE ρ=λ=0.2 ρ=λ=0.8 T=5 T=10 T=5 T=10 ( ) 2 2 v ,σ σ = (0.8,0.2) (0.5,0.5) (0.2,0.8) (0.8,0.2) (0.5,0.5) (0.2,0.8) (0.8,0.2) (0.5,0.5) (0.2,0.8) (0.8,0.2) (0.5,0.5) (0.2,0.8) W(1,1) 5.3 6.1 5.6 4.9 5.0 6.1 6.0 7.8 9.9 7.8 7.8 8.8 W(5,5) 4.5 5.0 4.8 3.4 3.0 3.6 4.3 8.2 14.0 2.4 4.2 7.0 Asymmetric one-order contiguity matrix 6.8 7.0 6.8 4.5 4.3 4.7 4.0 5.1 7.3 1.5 1.5 2.5 True model SMA-RE W(1,1) 5.3 6.3 5.6 5.0 5.0 6.1 6.5 6.7 6.1 6.8 7.2 7.7 W(5,5) 4.5 5.0 4.6 3.3 3.0 3.6 4.9 5.8 6.9 3.1 2.9 3.8 Asymmetric one-order contiguity matrix 6.9 7.2 7.1 4.7 4.5 4.9 8.5 9.4 8.6 6.1 6.4 7.2
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  26. Wallace, T.D. and A. Hussain, 1969, The use of error components models in combining time-series with cross-section data, Econometrica 37, 55-72. Appendix 16 Table 1 – Percentage of rejections of H0 at 5% significance level for N= = = =50, 8 . 0 2 = = = = σ σ σ σ , 2 . 0 2 = = = = v

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  46. THE EFFECT OF HOUSEHOLDS LOCATION ON THE SPANISH DEMAND FOR FOOD: A PANEL DATA APPROACH. (2000). mur, jesus ; Dhehibi, Boubaker ; Angulo, Ana ; Gil, Jose Maria.
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