Applying the Generalized-Moments Estimation Approach to Spatial Problems Involving Micro-Level Data

By K. Bell, N. Bockstael. Review of Economics and Statistics, 2000

377 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8711230c2175f71a0f1f2d78093fd55f3651fe50

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In Economics and Econometrics

Citations in the corpus

Land use change modelling: current practice and research priorities (2004, background): “Spatial statistical techniques are developed to quantify spatial dependencies in econometrics (Anselin 1988; Bell and Bockstael 2000).”
Applying Geographical Information Systems (GIS) to Environmental and Resource Economics (2002, background): “It is well known that the failure to account for spatial dependence in models where it is present can lead to a variety of problems (Bell and Bockstael 2000).”
Estimation Problems in Models with Spatial Weighting Matrices Which Have Blocks of Equal Elements (2006, neutral): “Some recent applications of spatial modeling are Audretsch and Felmann (1996), Bell and Bockstael (2000), Pinkse, Slade, and Brett (2002), Yuzefovich (2003), and Kapoor (2003).”
A Spatial Cliff-Ord-Type Model with Heteroskedastic Innovations: Small and Large Sample Results (2009, methodology): “Step 1b: Initial GMM Estimator of ρ Based on 2SLS Residuals In light of (1) and ( 12 ), the 2SLS residuals are e un = yn − Zneδn .L et eun = Mneun ,a ndeun = M2”
The Incidence of EU Per-Hectare Payments on Farmland Rental Rates: A Spatial Econometric Analysis of German Farm-Level Data (2011, neutral): “Bell and Bockstael (2000).”
The Broader Effects of Transportation Infrastructure: Spatial Econometrics and Productivity Approaches (2010, background): “…decisions in one location that are made for entities in other locations; using data that are averaged over different sized areas for different geographic units (Bell and Bockstael, 2000), such as rural versus urban regions; and/or common shocks that spill over across geographic boundaries.”
Theory, data, methods: developing spatially explicit economic models of land use change (2001, background): “Bell and Bockstael (2000) illustrate the importance of controlling for spatial error autocorrelation in a model of residential land values.”