Thirty years of spatial econometrics
By Luc Anselin. 2010
749 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/e49c9cd166265af815c78633cb461f92b26f0eda
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
- Gianfranco Piras
- Roger S. Bivand
- Rafal Raciborski
- D. Drukker
- Raffaele Paci
- Emanuela Marrocu
- Ingmar R. Prucha
- Maksim Belitski
Citations in the corpus
- Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania (2018, methodology): “…in the fertilizer subsidy program, a dummy for borrowing money from BRAC, and added variables representing 10 For details of the spatial model derivation, see Anselin (2010), for example. the farmer’s total number of relatives in the village and other household characteristics, as shown in Table 7.”
- Identification of Social Interactions (2011, neutral): “…advances in terms of allowing for spatial autocorrelation in error structures: see Kapoor, Kelejian, and Prucha (2007) and Kelejian and Prucha (2010) for recent examples of advances in the study of spatial environments under weak error assumptions and Anselin (2010) for a review of the area.”
- Panel Vector Autoregressive Models: A Survey (2013, positive): “words, to approximate the original panel VAR(1) with a smaller number of units, we need either a panel VARMA or a VAR(p) with p generally large.”
- Different tourists to different destinations. Evidence from spatial interaction models (2013, background): “Refer also to the contrib utions in the 2007 Journal of Econometrics special issue on spatially dependent data, edited by Baltagi, Kelejian & Pruch a, and to the recent survey in Anselin (2010). For the case of individual data involving large sample sizes and co mplicated spatial weight matrices Bel”
- A Command for Estimating Spatial-Autoregressive Models with Spatial-Autoregressive Disturbances and Additional Endogenous Variables (2013, methodology): “While SARAR models have a wide range of possible applications, following Cliff and Ord (1973, 1981), much of the original literature was developed to handle spatial interactions; see, for example, Anselin (1988, 2010), Cressie (1993), and Haining (2003).”
- Classification and valuation of urban green spaces—A hedonic house price valuation (2013, background): “Omitted variables or misspecification can result in spatial autocorrelation in the residuals (Anselin, 2010).”
- Entrepreneurship and economic development in cities (2015, background): “In addition, GDP per capita is frequently used as the proxy measure for economic development at the regional and country levels (e.g, Anselin 2010; Glaeser et al. 2010; Stam 2014).”
- Comparing Implementations of Estimation Methods for Spatial Econometrics (2015, methodology): “2 The Python (van Rossum 1995) spatial analysis library (PySAL; Rey and Anselin 2010) 3 has also been launched.”
- Modelling transport and real-estate values interactions in urban systems (2012, background): “These types of models were systematised for the first time in the early contribution made by Paelinck and Klaassen (1979) and received later contributions by various authors (Anselin, 2010).”