Narrow search
Showing 1 - 10 of 207,321
Cover Image
Spatial Chow-Lin methods for data completion in econometric flow models
Polasek, Wolfgang; Sellner, Richard - 2010
Persistent link: https://www.econbiz.de/10008661120
Cover Image
Commuting in Europe: an inter-regional analysis on its determinants and spatial effects
Castelli, Chiara; Parenti, Angela - 2020
Commuting shapes countless everyday-lives around the world, with dynamics varying from city to regional and cross regional level. Taking as reference the free-movement EU-28 area (plus Switzerland and Norway), the analysis considers a total sample of 195 NUTS2 regions over the decade 2007-2017...
Persistent link: https://www.econbiz.de/10012306744
Cover Image
Spatial Econometric Methods for Modeling Origin Destination Flows
LeSage, James P. - 2008
Spatial interaction models of the gravity type are used in conjunction with sample data on flows between origin and destination locations to analyse international and interregional trade, commodity, migration and commuting patterns. The focus is on the classical log-normal model version and...
Persistent link: https://www.econbiz.de/10012722562
Cover Image
The role of COVID-19 in spatial reorganization : some evidence from Germany
Ehlert, Andree; Wedemeier, Jan; Zahlmann, Tabea - 2021
This paper analyzes the role of regional demographic, socioeconomic and political factors on changes in mobility during the COVID-19 pandemic. It provides new empirical evidence for the regional differentiation of lockdown measures and indicates a possible reorganization of spatial economic and...
Persistent link: https://www.econbiz.de/10012509208
Cover Image
Regional economic convergence and spatial spillovers in Turkey
Kındap, Ahmet; Doğan, Tayyar - In: International econometric review 11 (2019) 1, pp. 1-23
Using sigma and beta convergence methods, this study tests economic convergence in Turkish NUTS-2 regions between 2004-2011. The findings of sigma convergence analysis show that the interregional income gap decreases during economic recession periods and increases during economic expansion...
Persistent link: https://www.econbiz.de/10012040046
Cover Image
Bayesian Model Averaging for Spatial Econometric Models
LeSage, James P.; Parent, Olivier - 2006
We extend the literature on Bayesian model comparison for ordinary least-squares regression models to include spatial autoregressive and spatial error models. Our focus is on comparing models that consist of different matrices of explanatory variables. A Markov Chain Monte Carlo model...
Persistent link: https://www.econbiz.de/10014026858
Cover Image
Omitted variable biases of OLS and spatial lag models
Pace, R. Kelley; Lesage, James P. - In: Progress in spatial analysis : methods and applications, (pp. 17-28). 2010
Persistent link: https://www.econbiz.de/10003927379
Cover Image
Testing for Reverse Causation and Omitted Variable Bias in Regressions
Marvell, Thomas B. - 2020
or missing variable bias), an important and intractable problem in many disciplines. The test is simple: one selects a …
Persistent link: https://www.econbiz.de/10012848483
Cover Image
Testing for Reverse Causation and Omitted Variable Bias in Regressions
Marvell, Thomas B. - 2022
regressors. This paper shows that this often does not occur if the regression suffers from simultaneity or omitted variable bias … test for the presence of simultaneity or omitted variable bias, important and intractable problems in many disciplines. The …. Simultaneity or omitted variable bias is indicated if t-ratios and coefficients undergo these trends with more collinearity. The …
Persistent link: https://www.econbiz.de/10013308808
Cover Image
Asymptotic distribution and finite sample bias correction of QML estimators for spatial error dependence model
Liu, Shew Fan; Yang, Zhenlin - In: Econometrics : open access journal 3 (2015) 2, pp. 376-411
convergence rate of the QML estimators has not been formally studied, and methods for correcting finite sample bias of the QML … estimators have not been given. This paper fills in these gaps. Of the two, bias correction is particularly important to the … those for the SLD model in terms of the rate of convergence and the magnitude of bias. Monte Carlo results show that the …
Persistent link: https://www.econbiz.de/10011297624