Forecasting U.S. State-Level Carbon Dioxide Emissions
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- Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
- Kelejian, Harry H. & Prucha, Ingmar R., 2007. "The relative efficiencies of various predictors in spatial econometric models containing spatial lags," Regional Science and Urban Economics, Elsevier, vol. 37(3), pages 363-374, May.
- Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009.
"Forecasting economic and financial variables with global VARs,"
International Journal of Forecasting,
Elsevier, vol. 25(4), pages 642-675, October.
- M. Hashem Pesaran & Til Schuermann & L. Vanessa Smith, 2008. "Forecasting economic and financial variables with global VARs," Staff Reports 317, Federal Reserve Bank of New York.
- M. Hashem Pesaran & Til Schuermann & L. Vanessa Smith, 2008. "Forecasting Economic and Financial Variables with Global VARs," CESifo Working Paper Series 2263, CESifo Group Munich.
- Pesaran, M.H. & Schuermann, T. & Smit, L.V., 2008. "Forecasting Economic and Financial Variables with Global VARs," Cambridge Working Papers in Economics 0807, Faculty of Economics, University of Cambridge.
- Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2014.
"Estimating and Forecasting with a Dynamic Spatial Panel Data Model,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 76(1), pages 112-138, February.
- Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2011. "Estimating and forecasting with a dynamic spatial panel data model," LSE Research Online Documents on Economics 58322, London School of Economics and Political Science, LSE Library.
- Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Spatial Economics Research Centre, LSE.
- Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2012. "Estimating and Forecasting With A Dynamic Spatial Panel Data Model," Center for Policy Research Working Papers 149, Center for Policy Research, Maxwell School, Syracuse University.
- Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Rejoinder to comments on forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 703-715, October.
- Burnett, J. Wesley & Bergstrom, John C. & Dorfman, Jeffrey H., 2013. "A spatial panel data approach to estimating U.S. state-level energy emissions," Energy Economics, Elsevier, vol. 40(C), pages 396-404.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 20(1), pages 134-144, January.
- Itkonen, Juha V.A., 2012. "Problems estimating the carbon Kuznets curve," Energy, Elsevier, vol. 39(1), pages 274-280.
- David L. Ryan & André Plourde, 2009. "Empirical Modelling of Energy Demand," Chapters,in: International Handbook on the Economics of Energy, chapter 6 Edward Elgar Publishing.
- J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
- Badi Baltagi & Dong Li, 2006.
"Prediction in the Panel Data Model with Spatial Correlation: the Case of Liquor,"
Spatial Economic Analysis,
Taylor & Francis Journals, vol. 1(2), pages 175-185.
- Badi H. Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: The Case of Liquor," Center for Policy Research Working Papers 84, Center for Policy Research, Maxwell School, Syracuse University.
- Maximilian Auffhammer & Ralf Steinhauser, 2007. "The Future Trajectory Of U.S. Co2 Emissions: The Role Of State Vs. Aggregate Information," Journal of Regional Science, Wiley Blackwell, vol. 47(1), pages 47-61, February.
More about this item
Keywordsspatial panel data econometrics; forecasting; carbon dioxide emissions;
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
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