Spatial Growth Regressions: Model Specification, Estimation and Interpretation
By James Paul LeSage, M. M. Fischer. 2008
550 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/ad61c2411099ff34a7f120b2a3ba6cb96220f7bd
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
- Jesús Crespo Cuaresma
- Martin Feldkircher
- Gianfranco Piras
- Solmaria Halleck Vega
- Roger S. Bivand
- Nicolas Debarsy
- Gang Li
- M. M. Fischer
In Political Science and International Relations
- Jesús Crespo Cuaresma
- Martin Feldkircher
- Gianfranco Piras
- Valentina Meliciani
- M. Savona
- Roger S. Bivand
- Nicolas Debarsy
- Yang Yang
Citations in the corpus
- Spatial effects in regional tourism growth (2014, background): “The general spatial growth regression model proposed by LeSage and Fischer (2008) suggests that the long-term regional economic level is a function of the characteristics of the home region and neighboring ones, spatial connectivity with other regions, and”
- Where is the Economics in Spatial Econometrics (2012, unknown): “Related approaches use Bayesian model averaging (LeSage and Parent, 2007; LeSage and Fischer, 2008).”
- Spatial Spillovers in the Development of Institutions (2013, unknown): “" Two interesting studies along these lines are LeSage and Pace (2009) and LeSage and Fischer (2008). whose values vary over time; H is an n × k 2 matrix of observations on k 2 fundamentals whose values do not vary over time; W is an n × n weighting matrix, described below; u t is the n × 1…”
- Cycle commuting in Belgium: Spatial determinants and ‘re-cycling’ strategies (2011, result): “Given that the validity of the results may be affected by the presence of feedback effects in the model (LeSage and Fisher, 2008; LeSage and Pace, 2009), we compared the parameter estimates in Table 4 with scalar summary impact measures and observed that feedback effects are quite weak.”
- The determinants of regional specialisation in business services: agglomeration economies, vertical linkages and innovation (2015, methodology): “…variables, a change in a single explanatory variable in region i has a direct impact on region i as well as an indirect impact on other regions (see LeSage and Fischer, 2008 for 17 Elhorst (2003, 2009) presents a more general panel model including also fixed effects and a dynamic specification.”
- Bayesian Model Averaging for Spatial Autoregressive Models Based on Convex Combinations of Different Types of Connectivity Matrices (2020, methodology): “We compare the LeSage and Fischer (2008) approach with the one developed here under two alternative DGPs.”
- Comparing Implementations of Estimation Methods for Spatial Econometrics (2015, methodology): “…concluding, we compare the provision of functions for calculating emanating effects (Kelejian, Tavlas, and Hondroyiannis 2006), also known as impacts (LeSage and Fischer 2008; LeSage and Pace 2009), simultaneous spatial reaction function/reduced form (Anselin and Lozano-Gracia 2008), equilibrium…”
- Where Can Tourism-Led Growth and Economy-Driven Tourism Growth Occur? (2019, methodology): “Since the dependent variables were measured for a period covering multiple years, we used independent variables at the beginning of study period to reasonably alleviate the endogeneity problem in the econometric model (Lesage and Fischer 2008).”
- The Vindication of Don Quixote: The Impact of Noise and Visual Pollution from Wind Turbines (2014, background): “LeSage and Fischer (2008) distinguish between average direct, indirect, and total impacts, depending on whether one looks solely at the estimated coefficient or accounts for neighboring observations.”
- Institutions and geography: Empirical test of spatial growth models for European regions (2009, background): “Recently, much emphasis has been placed to models that incorporate substantive spatial dependence, meaning that spatial e¤ects propagate to neighboring regions by means of endogenous as well as exogenous variables (Fingleton and López-Bazo, 2007; LeSage and Fischer, 2008).”
- Knowledge Spillovers and Total Factor Productivity: Evidence Using a Spatial Panel Data Model (2009, background): “7 Travel distance is an alternative measure (see, for example, Crescenzi, Rodríguez-Pose and Storper 2007, LeSage and Fischer 2007), that is especially attractive in contexts where knowledge diffusion primarily takes place with face-to-face interaction.”