Spatial Panel Data Models

By Lung-fei Lee, Jihai Yu. 2015

600 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6a45c097ce85a9d17bacb4a0cbfe8d426a130c7b

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In Economics and Econometrics

Citations in the corpus

Effects of land urbanization and land finance on carbon emissions: A panel data analysis for Chinese provinces (2017, methodology): “The difference between the spatial panel-data econometric model and the traditional panel-data model is the first introduction of both temporal and spatial characteristics into the research system; this approach improves the accuracy of estimation results (Elhorst, 2014; Liu et al., 2016b).”
Technological complexity and economic growth of regions (2020, methodology): “The Lagrange Multiplier test suggested to use a spatial lag model with spatially correlated errors (Elhorst, 2014).”
A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers (2015, unknown): “…value of the dependent variable does not depend on . of 2: b 2 = 1 NT NP i=1 TP t=1 [yit E (yj ; )]2=[1 2 2= (1 + 2)]: (7) We follow, among others, Elhorst (2009) for the SAR panel data model and obtain the conditional expectation E (yj ; ) using the following concentrated log-likelihood…”
Strategic interaction in local governments’ industrial land supply: Evidence from China (2017, methodology): “We use a time trend instead of time dummies for spatial interaction effects cannot be sepa- rated from the time fixed effects (Devereux et al., 2008; Elhorst, 2010).”
US Metropolitan Area Resilience: Insights from dynamic spatial panel estimation (2017, methodology): “This paper builds on the work of Fingleton et al. (2012), Martin (2012), Fingleton et al. (2015), and Martin et al.”
Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models (2016, methodology): “…Cravo (2014)4 studies thus far have only investigated the determinants of economic growth at a single spatial scale to infer the consistency of spatial growth models with reality (e.g., Rey and Montouri 1999; Fingleton 1999; López-Bazo et al. 2004; Ertur and Koch 2007; Elhorst 2010; Fischer 2011).”
Convergence of per capita carbon dioxide emissions in urban China: A spatio-temporal perspective (2013, methodology): “We performed these estimates using MATLAB routines adapted from Elhorst (2010).”
The determinants of regional specialisation in business services: agglomeration economies, vertical linkages and innovation (2015, background): “…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.”
Responsiveness of Crop Yield and Acreage to Prices and Climate (2016, unknown): “Spatial panel econometrics with un-balanced panel datasets may have problematic asymptotic properties when the reason for missing data is unknown (Elhorst 2010).”