On invisible trade relations between Mesopotamian cities during the third millennium B.C
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- BOSSUYT, Audrey & BROZE, Laurence & GINSBURGH, Victor, 2001. "On invisible trade relations between Mesopotamian cities during the Third Millennium B.C," LIDAM Reprints CORE 1515, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
References listed on IDEAS
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Regional Science and Urban Economics, Elsevier, vol. 94(C).
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- Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2021. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," IZA Discussion Papers 14392, Institute of Labor Economics (IZA).
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2022. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," PSE-Ecole d'économie de Paris (Postprint) halshs-03673240, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2022. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," Post-Print halshs-03673240, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," Working Papers halshs-03231786, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," PSE Working Papers halshs-03231786, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2022. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," SciencePo Working papers Main halshs-03673240, HAL.
- Victor Ginsburgh & Shlomo Weber, 2020.
"The Economics of Language,"
Journal of Economic Literature, American Economic Association, vol. 58(2), pages 348-404, June.
- Victor Ginsburgh & Shlomo Weber, 2018. "The Economics of Language," Working Papers ECARES 2018-18, ULB -- Universite Libre de Bruxelles.
- Ginsburgh, Victor & Weber, Shlomo, 2020. "The Economics of Language," LIDAM Reprints CORE 3118, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Weber, Shlomo & Ginsburgh, Victor, 2018. "The Economics of Language," CEPR Discussion Papers 13002, C.E.P.R. Discussion Papers.
- Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2022.
"Urban economics in a historical perspective: Recovering data with machine learning,"
Regional Science and Urban Economics, Elsevier, vol. 94(C).
- Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2020. "Urban economics in a historical perspective: Recovering data with machine learning," CEPR Discussion Papers 15308, C.E.P.R. Discussion Papers.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," SciencePo Working papers halshs-03231786, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & yanos Zylberberg, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," PSE-Ecole d'économie de Paris (Postprint) halshs-03673240, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," Working Papers halshs-03231786, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & yanos Zylberberg, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," Post-Print halshs-03673240, HAL.
- Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2021. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," IZA Discussion Papers 14392, Institute of Labor Economics (IZA).
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," PSE Working Papers halshs-03231786, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & yanos Zylberberg, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," SciencePo Working papers halshs-03673240, HAL.
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