Prediction in the Panel Data Model with Spatial Correlation

By Badi H. Baltagi, Dong Li. 2004

151 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/d4f1607a90fc121ea9b4b173f2b1e6959c77c66f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Gianfranco Piras
2. Luc Anselin
3. Zhenlin Yang
4. J. Paul Elhorst
5. Solmaria Halleck Vega
6. Liangjun Su
7. Badi H. Baltagi
8. Peter H. Egger

Citations in the corpus

• Estimation of spatial models with endogenous weighting matrices, and an application to a demand model for cigarettes (2014, methodology): “In our empirical application, we consider a dynamic demand for cigarettes based on a panel data from 46 US states over the period 1963-1992 (Baltagi and Levin, 1986, 1992; Baltagi and Li, 2004).”
• Measuring resilience to economic shocks: an application to Spain (2018, methodology): “Prediction with spatial panel data models may be highly accurate, as shown by Baltagi and Li (2004, 2006) in the case of per-capita cigarette and liquor consumption in the United States.”
• Forecasting with Panel Data (2008, background): “These results can be extended to the MA(q) case, see Baltagi and Li (1994) and the autoregressive moving average ARMA(p; q) case on the it; see MaCurdy (1982) and more recently Galbraith and Zinde-Walsh (1995).”
• Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models (2009, background): “Recent theoretical contributions of spatial panel data models include Baltagi, Song, and Koh (2003), Baltagi and Li (2004), Baltagi, Song, Jung, and Koh (2007), Kapoor, Kelejian, and Prucha (2007), Korniotis (2008), Baltagi, Egger, and Pfaffermayr (2008), and Lee and Yu (2008).”
• Spatial Econometrics (2007, background): “22 Other classic treatments of ML estimation in spatial models can be found in Whittle (1954), Besag (1974), Mardia and Marshall (1984), Warnes and Ripley (1987), and Mardia and Watkins (1989). 23 For a formal demonstration, see Anselin (1988a).”
• On spatial econometric models, spillover effects, and W (2013, methodology): “The bootlegging effect, i.e. consumers will purchase cigarettes in nearby states if there is a price advantage (Baltagi and Li, 2004), is the main motivation to consider an econometric model with spatial interaction effects.”
• QML estimation of dynamic panel data models with spatial errors (2015, methodology): “See Baltagi, Song and Koh (2003) and Baltagi and Li (2004) for the application of this type of models. Alternatively we can allow both εt and μ to follow a spatial autoregressive model as is done by Kapoor, Kelejian and Prucha (2006) who consider GMM estimation of static spatial panel model with ran”
• Thirty years of spatial econometrics (2010, background): “Prediction is considered by Baltagi and Li (2004, 2006); and Fingleton (2009).”