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Dependence of spatial effects on the level of regional aggregation, weights matrix, and estimation method

Bukina, Tatiana V.; Demidova, Olʹga Anatolʹevna; … - 2015

Researchers have repeatedly noted that the results in spatial-econometric studies depend significantly on the level of regional aggregation (Jacobs-Crisioni et al., 2014; Kang et al., 2014, Baltagi, Li, 2014). Currently, hierarchical models can contribute a lot to the studies of spatial effects...

Persistent link: https://www.econbiz.de/10011482463

Estimation of multiequation cross-section models in the presence of spatial autocorrelation

Carvalho, Alexandre Ywata de; Mata, Daniel da; Chomitz, … - 2015

We describe econometric techniques to treat spatial autocorrelation in multiequation cross-section models. The cross-section approaches discussed here are heavily based on the spatial GMM procedure, proposed by Conley (1999). An extension for fullinformation instrumental variable models is...

Persistent link: https://www.econbiz.de/10012025305

Sigma Convergence Versus Beta Convergence : Evidence from U.S. County-Level Data

Young, Andrew T.; Higgins, Matthew John; Levy, Daniel - 2015

In this paper we outline (i) why sigma-convergence may not accompany beta-convergence, (ii) discuss evidence of beta-convergence in the U.S., and (iii) use U.S. county-level data containing over 3,000 cross-sectional observations to demonstrate that sigma-convergence has not occurred at the...

Persistent link: https://www.econbiz.de/10014029829

Sigma Convergence versus Beta Convergence : Evidence from U.S. County-Level Data

Young, Andrew T.; Higgins, Matthew John; Levy, Daniel - 2015

Persistent link: https://www.econbiz.de/10014026226

Misspecification in Linear Spatial Regression Models

Florax, Raymond J.G.M; Nijkamp, Peter - 2003

. Spatial econometrics focuses on the specification and estimation of regression models explicitly incorporating such spatial … review tools for exploratory spatial data analysis and misspecification tests for spatial effects in linear regression models …. A discussion of specification strategies and an overview of available software for spatial regression analysis …

Persistent link: https://www.econbiz.de/10014074888

Functional-coefficient spatial Durbin models with nonparametric spatial weights : an application to economic growth

Koroglu, Mustafa; Sun, Yiguo - In: Econometrics : open access journal 4 (2016) 1, pp. 1-16

second-step estimator of the unknown functional coefficients by a local linear regression approach. Some Monte Carlo …

Persistent link: https://www.econbiz.de/10011504611

Identification of the factors of sustainable development of regional agricultural systems using regression model

Pavlov, Alexander Yu.; Karmyshova, Julia V. - In: International journal of economics and financial issues … 5 (2015) 2, pp. 142-146

Persistent link: https://www.econbiz.de/10011691486

Reconciled estimates and nowcasts of regional output in the UK

Koop, Gary; McIntyre, Stuart; Mitchell, James; Poon, Aubrey - In: National Institute economic review : journal of the … 253 (2020) 1, pp. R44-R59

Persistent link: https://www.econbiz.de/10012258699

Regularized Poisson regressions predict regional innovation output

Xiang, Li; Hu, Xuemei; Junwen, Yang - In: Journal of forecasting 42 (2023) 8, pp. 2197-2216

Persistent link: https://www.econbiz.de/10014432870

Flexible empirical Bayes estimation of local fertility schedules : reducing small area problems and reserving regional variation

Leknes, Stefan; Løkken, Sturla Andreas - 2021

Reliable local demographic schedules are in high demand, but small area problems pose a challenge to estimation. The literature has directed little attention to the opportunities created by increased availability of high-quality geo-coded data. We propose the use of empirical Bayes methods based...

Persistent link: https://www.econbiz.de/10012508714

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