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~isPartOf:"Regional science & urban economics"
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Regional economics
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Conference "Recent Advances in Urban Economic Theory: A Tribute to David Pines" <1994, Tēl-Āvîv>
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Regional science & urban economics
Ecological economics : the transdisciplinary journal of the International Society for Ecological Economics
590
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465
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156
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The European journal of health economics : HEPAC ; health economics in prevention and care
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132
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1
What future for history dependence in spatial economics?
Lin, Jeffrey
;
Rauch, Ferdinand
- In:
Regional science & urban economics
94
(
2022
),
pp. 1-6
Persistent link: https://www.econbiz.de/10013414964
Saved in:
2
Quantitative economic geography meets history : questions, answers and challenges
Nagy, Dávid Krisztián
- In:
Regional science & urban economics
94
(
2022
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013415056
Saved in:
3
A spatial econometric multivariate model of Okun's law
Elhorst, J. Paul
;
Emili, Silvia
- In:
Regional science & urban economics
93
(
2022
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013264764
Saved in:
4
Urban issues in health economics : guest editors' introduction
McMillen, Daniel P.
;
Moscone, Francesco
- In:
Regional science & urban economics
93
(
2022
),
pp. 1-2
Persistent link: https://www.econbiz.de/10013264773
Saved in:
5
A spatial analysis of borrowers' mortgage termination decision : a nonparametric approach
Fang, Lu
;
Munneke, Henry J.
- In:
Regional science & urban economics
86
(
2021
),
pp. 1-21
Persistent link: https://www.econbiz.de/10012533816
Saved in:
6
Theoretical foundations for spatial econometric research
Xu, Xingbai
;
Lee, Lung-fei
- In:
Regional science & urban economics
76
(
2019
),
pp. 2-12
Persistent link: https://www.econbiz.de/10012267288
Saved in:
7
Robust LM tests for spatial dynamic panel data models
Bera, Anil K.
;
Doğan, Osman
;
Taṣpınar, Süleyman
; …
- In:
Regional science & urban economics
76
(
2019
),
pp. 47-66
Persistent link: https://www.econbiz.de/10012267310
Saved in:
8
Estimation of spatial econometric linear models with large datasets : how big can spatial Big Data be?
Arbia, Giuseppe
;
Ghiringhelli, C.
;
Mira, A.
- In:
Regional science & urban economics
76
(
2019
),
pp. 67-73
Persistent link: https://www.econbiz.de/10012267313
Saved in:
9
The inversion of the spatial lag operator in binary choice models : fast computation and a closed formula approximation
Silveira Santos, Luís
;
Proença, Isabel
- In:
Regional science & urban economics
76
(
2019
),
pp. 74-102
Persistent link: https://www.econbiz.de/10012267360
Saved in:
10
Spatial interactive effects on housing prices in Shanghai and Beijing
Guo, Juncong
;
Qu, Xi
- In:
Regional science & urban economics
76
(
2019
),
pp. 147-160
Persistent link: https://www.econbiz.de/10012267377
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