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Christine THOMAS-AGNAN

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2023. "Covariates impacts in spatial autoregressive models for compositional data," Post-Print hal-04215280, HAL.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2023. "Share-ratio interpretations of compositional regression models," TSE Working Papers 23-1456, Toulouse School of Economics (TSE), revised 20 Sep 2023.
    2. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.

  2. Thi-Huong-An Nguyen & Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2022. "Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods," Post-Print hal-03721994, HAL.

    Cited by:

    1. Bačo, Tomáš & Baumöhl, Eduard, 2021. "Socioeconomic factors and shifts in ideological orientation among political parties: Parliamentary elections in Slovakia from 1998 to 2020," EconStor Preprints 246584, ZBW - Leibniz Information Centre for Economics.
    2. Jacob Fiksel & Scott Zeger & Abhirup Datta, 2022. "A transformation‐free linear regression for compositional outcomes and predictors," Biometrics, The International Biometric Society, vol. 78(3), pages 974-987, September.
    3. Thi Huong An Nguyen & Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent, 2019. "Multivariate Student versus Multivariate Gaussian Regression Models with Application to Finance," JRFM, MDPI, vol. 12(1), pages 1-21, February.
    4. Thomas-Agnan, Christine & Morais, Joanna, 2019. "Covariates impacts in compositional models and simplicial derivatives," TSE Working Papers 19-1057, Toulouse School of Economics (TSE).
    5. Joanna Morais & Christine Thomas-Agnan, 2021. "Impact of covariates in compositional models and simplicial derivatives," Post-Print hal-03180682, HAL.

  3. Thibault Laurent & Paula Margaretic & Christine Thomas-Agnan, 2022. "Neighbouring countries and bilateral remittances: a global study," Post-Print hal-04038673, HAL.

    Cited by:

    1. Angana Parashar SARMA & Muniyor KRISHNA, 2024. "Causal Nexus Between Remittance Inflow And Its Determinants, 1998-2020: Evidence From The South And Southeast Asian Lmics," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 24(1), pages 97-120.

  4. Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen & Thi-Huong-An Nguyen & Raja Chakir & Anna Lungarska, 2021. "Spatial Simultaneous Autoregressive Models for Compositional Data: Application to Land Use [Modèles autorégressifs spatiaux simultanés pour les données compositionnelles : Application à l'utilisati," Post-Print hal-03247387, HAL.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2023. "Share-ratio interpretations of compositional regression models," TSE Working Papers 23-1456, Toulouse School of Economics (TSE), revised 20 Sep 2023.
    2. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.

  5. Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, 2021. "Do neighboring countries matter when explaining bilateral remittances?," TSE Working Papers 21-1221, Toulouse School of Economics (TSE).

    Cited by:

    1. Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, "undated". "An open source software tool for spatial flow data analysis_ supprimé à la demande de T. Laurent," TSE Working Papers 125949, Toulouse School of Economics (TSE).

  6. Joanna Morais & Christine Thomas-Agnan, 2021. "Impact of covariates in compositional models and simplicial derivatives," Post-Print hal-03180682, HAL.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2023. "Share-ratio interpretations of compositional regression models," TSE Working Papers 23-1456, Toulouse School of Economics (TSE), revised 20 Sep 2023.
    2. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.

  7. Nguyen, T.H.A & Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2019. "A simultaneous spatial autoregressive model for compositional data," TSE Working Papers 19-1028, Toulouse School of Economics (TSE), revised Apr 2020.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2023. "Share-ratio interpretations of compositional regression models," TSE Working Papers 23-1456, Toulouse School of Economics (TSE), revised 20 Sep 2023.
    2. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.
    3. Woraphon Yamaka & Siritaya Lomwanawong & Darin Magel & Paravee Maneejuk, 2022. "Analysis of the Lockdown Effects on the Economy, Environment, and COVID-19 Spread: Lesson Learnt from a Global Pandemic in 2020," IJERPH, MDPI, vol. 19(19), pages 1-21, October.

  8. Thomas-Agnan, Christine & Morais, Joanna, 2019. "Covariates impacts in compositional models and simplicial derivatives," TSE Working Papers 19-1057, Toulouse School of Economics (TSE).

    Cited by:

    1. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne & Nguyen, T.H.A & Chakir, Raja & Lungarska, Anna, 2020. "Spatial simultaneous autoregressive models for compositional data: Application to land use," TSE Working Papers 20-1098, Toulouse School of Economics (TSE).

  9. Joanna Morais & Christine Thomas-Agnan & Michel Simioni, 2018. "Interpretation of explanatory variables impacts in compositional regression models," Post-Print hal-02617783, HAL.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2023. "Share-ratio interpretations of compositional regression models," TSE Working Papers 23-1456, Toulouse School of Economics (TSE), revised 20 Sep 2023.
    2. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.
    3. Mitch Kunce, 2023. "Age Cohort Affects on U.S. State-Level Alcohol Consumption Shares: Insights Using Attraction CODA," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(3), pages 1-1.
    4. Thomas-Agnan, Christine & Simioni, Michel & Trinh, Thi-Huong, 2023. "Discrete and Smooth Scalar-on-Density Compositional Regression for Assessing the Impact of Climate Change on Rice Yield in Vietnam," TSE Working Papers 23-1410, Toulouse School of Economics (TSE), revised Apr 2024.
    5. Jacob Fiksel & Scott Zeger & Abhirup Datta, 2022. "A transformation‐free linear regression for compositional outcomes and predictors," Biometrics, The International Biometric Society, vol. 78(3), pages 974-987, September.
    6. Morais, Joanna & Thomas-Agnan, Christine & Simioni, Michel, 2018. "Impact of advertizing on brand’s market-shares in the automobile market:: a multi-channel attraction model with competition and carry-over effects," TSE Working Papers 18-878, Toulouse School of Economics (TSE).
    7. Joscha Krause & Jan Pablo Burgard & Domingo Morales, 2022. "Robust prediction of domain compositions from uncertain data using isometric logratio transformations in a penalized multivariate Fay–Herriot model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 76(1), pages 65-96, February.

  10. Huong Thi Trinh & Michel Simioni & Christine Thomas-Agnan, 2018. "Assessing the nonlinearity of the calorie-income relationship: an estimation strategy – with new insights on nutritional transition in Vietnam," Post-Print hal-02628994, HAL.

    Cited by:

    1. Hamed Sambo, 2020. "Effect of migration on the food security of households left behind: Evidence from Ethiopia," CEPN Working Papers hal-02881695, HAL.
    2. Hamed Sambo, 2020. "Effect of migration on the food security of households left behind: Evidence from Ethiopia," Working Papers hal-02881695, HAL.
    3. Huong Thi Trinh & Vincent Linderhof & Vy Thao Vuong & Erin E. Esaryk & Martin Heller & Youri Dijkxhoorn & Trang Mai Nguyen & Tuyen Thi Thanh Huynh & Ricardo Hernandez & Thanh Thi Duong & Van Thi Luu &, 2021. "Diets, Food Choices and Environmental Impacts across an Urban-Rural Interface in Northern Vietnam," Agriculture, MDPI, vol. 11(2), pages 1-20, February.
    4. Qiyan Zeng & Zhipeng He & Yuting Wang, 2022. "The Direct and Structure Effect of Income on Nutrition Demand of Chinese Rural Residents," IJERPH, MDPI, vol. 19(20), pages 1-13, October.
    5. Heard, Brent R. & Thi, Huong Trinh & Burra, Dharani Dhar & Heller, Martin C. & Miller, Shelie A. & Duong, Thanh Thi & Simioni, Michel & Jones, Andrew D., 2020. "The Influence of Household Refrigerator Ownership on Diets in Vietnam," Economics & Human Biology, Elsevier, vol. 39(C).
    6. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Assessing the nonlinearity of the calorie-income relationship: An estimation strategy – With new insights on nutritional transition in Vietnam," World Development, Elsevier, vol. 110(C), pages 192-204.
    7. Huong Thi Trinh & Michel Simioni & Christine Thomas-Agnan, 2018. "Decomposition of changes in the consumption of macronutrients in Vietnam between 2004 and 2014," Post-Print hal-02621238, HAL.
    8. Henri Njangang & Simplice A. Asongu & Eric Mouchili, 2022. "Does corruption starve? An African perspective," Working Papers 22/022, European Xtramile Centre of African Studies (EXCAS).
    9. Hoa-Thi-Minh Nguyen & Huong Do & Adrian Kay & Tom Kompas, 2020. "Rice policy in a transitional economy: balancing the social and political objectives," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(3), pages 549-566, June.
    10. Arkadeep Bandyopadhyay & Carlo Azzarri & Beliyou Haile & Chungmann Kim & Cristina Alvarez & Ana Moltedo & Abdul Sattar & Winnie Bell & Beatrice L. Rogers, 2022. "Exploring the association between agricultural production systems and household diets in Viet Nam," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1207-1226, October.
    11. Hamed Sambo, 2020. "Effect of migration on the food security of households left behind: Evidence from Ethiopia," CEPN Working Papers 2020-05, Centre d'Economie de l'Université de Paris Nord.
    12. Vu, Khoa & Vuong, Nguyen Dinh Tuan & Vu-Thanh, Tu-Anh & Nguyen, Anh Ngoc, 2022. "Income shock and food insecurity prediction Vietnam under the pandemic," World Development, Elsevier, vol. 153(C).

  11. Huong Thi Trinh & Michel Simioni & Christine Thomas-Agnan, 2018. "Decomposition of changes in the consumption of macronutrients in Vietnam between 2004 and 2014," Post-Print hal-02621238, HAL.

    Cited by:

    1. Huong Thi Trinh & Vincent Linderhof & Vy Thao Vuong & Erin E. Esaryk & Martin Heller & Youri Dijkxhoorn & Trang Mai Nguyen & Tuyen Thi Thanh Huynh & Ricardo Hernandez & Thanh Thi Duong & Van Thi Luu &, 2021. "Diets, Food Choices and Environmental Impacts across an Urban-Rural Interface in Northern Vietnam," Agriculture, MDPI, vol. 11(2), pages 1-20, February.

  12. Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Post-Print halshs-01698556, HAL.

    Cited by:

    1. Wei Yu & Xiaofei Ye & Jun Chen & Xingchen Yan & Tao Wang, 2020. "Evaluation Indexes and Correlation Analysis of Origination–Destination Travel Time of Nanjing Metro Based on Complex Network Method," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    2. Hu, Xinlei & Wang, Xiaokun (Cara) & Ni, Linglin & Shi, Feng, 2022. "The impact of intercity economic complementarity on HSR volume in the context of megalopolization," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. Lukas Dargel, 2021. "Revisiting estimation methods for spatial econometric interaction models," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-41, December.
    4. Birolini, Sebastian & Cattaneo, Mattia & Malighetti, Paolo & Morlotti, Chiara, 2020. "Integrated origin-based demand modeling for air transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    5. Paula Margaretic & Sebastián Becerra, 2017. "Dispersed Information and Sovereign Risk Premia," Working Papers Central Bank of Chile 808, Central Bank of Chile.
    6. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.

  13. Trinh, Thi Huong & Simioni, Michel & Thomas-Agnan, Christine, 2017. "A New Perspective On The Relationship Between Calorie Intake And Income In China And Vietnam Using Semiparametric Modeling," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260885, European Association of Agricultural Economists.

    Cited by:

    1. Morais, Joanna & Trinh, Thi-Huong, 2017. "Impact of socioeconomic factors on nutritional diet in Vietnam from 2004 to 2014: new insights using compositional data analysis," TSE Working Papers 17-825, Toulouse School of Economics (TSE).

  14. Simioni, Michel & Thomas-Agnan, Christine & Trinh, Thi-Huong, 2017. "A Fresh Look at the Nutrition Transition in Vietnam using Semiparametric Modeling," TSE Working Papers 17-842, Toulouse School of Economics (TSE).

    Cited by:

    1. Thi Tuyet Le & Thi Thuy Dung Le & Nam Khanh Do & V. Savvina Nadezhda & M. Grjibovski Andrej & Thi Trung Thu Nguyen & Thi Thanh Mai Nguyen & Thi Tuyen Vu & Thi Huong Le & Thi Thu Lieu Nguyen & Thi Anh , 2019. "Ethnic Variations in Nutritional Status among Preschool Children in Northern Vietnam: A Cross-Sectional Study," IJERPH, MDPI, vol. 16(21), pages 1-11, October.

  15. Morais, Joanna & Thomas-Agnan, Christine & Simioni, Michel, 2017. "Interpreting the impact of explanatory variables in compositional models," TSE Working Papers 17-805, Toulouse School of Economics (TSE).

    Cited by:

    1. Morais, Joanna & Trinh, Thi-Huong, 2017. "Impact of socioeconomic factors on nutritional diet in Vietnam from 2004 to 2014: new insights using compositional data analysis," TSE Working Papers 17-825, Toulouse School of Economics (TSE).

  16. Morais, Joanna & Thomas-Agnan, Christine & Simioni, Michel, 2017. "Using compositional and Dirichlet models for market-share regression," TSE Working Papers 17-804, Toulouse School of Economics (TSE).

    Cited by:

    1. Thi-Huong-An Nguyen & Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2022. "Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods," Post-Print hal-03721994, HAL.
    2. Takahiro Yoshida & Morito Tsutsumi, 2018. "On the effects of spatial relationships in spatial compositional multivariate models," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 57-70, March.
    3. Mitch Kunce, 2023. "Age Cohort Affects on U.S. State-Level Alcohol Consumption Shares: Insights Using Attraction CODA," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(3), pages 1-1.
    4. Fabien Candau & Charles Regnacq & Julie Schlick, 2022. "Climate Change, Comparative Advantage and the Water Capability to Produce Agricultural Goods," Working papers of Transitions Energétiques et Environnementales (TREE) hal-03671521, HAL.
    5. Morais, Joanna & Thomas-Agnan, Christine & Simioni, Michel, 2018. "Impact of advertizing on brand’s market-shares in the automobile market:: a multi-channel attraction model with competition and carry-over effects," TSE Working Papers 18-878, Toulouse School of Economics (TSE).
    6. Haixiang Zhang & Jun Chen & Zhigang Li & Lei Liu, 2021. "Testing for Mediation Effect with Application to Human Microbiome Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(2), pages 313-328, July.
    7. Joanna Morais & Christine Thomas-Agnan & Michel Simioni, 2018. "Interpretation of explanatory variables impacts in compositional regression models," Post-Print hal-02617783, HAL.
    8. Juan José Egozcue & Vera Pawlowsky-Glahn, 2019. "Compositional data: the sample space and its structure," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 599-638, September.
    9. Berta Ferrer-Rosell & Eva Martin-Fuentes & Estela Marine-Roig, 2020. "Diverse and emotional: Facebook content strategies by Spanish hotels," Information Technology & Tourism, Springer, vol. 22(1), pages 53-74, March.
    10. María Dolores Esteban & María José Lombardía & Esther López-Vizcaíno & Domingo Morales & Agustín Pérez, 2023. "Small area estimation of average compositions under multivariate nested error regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(2), pages 651-676, June.

  17. Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2016. "Land use predictions on a regular grid at different scales and with easily accessible covariates," TSE Working Papers 16-666, Toulouse School of Economics (TSE).

    Cited by:

    1. Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2016. "Spatial scale in land use models: application to the Teruti-Lucas survey," TSE Working Papers 16-667, Toulouse School of Economics (TSE).

  18. Morais, Joanna & Simioni, Michel & Thomas-Agnan, Christine, 2016. "A tour of regression models for explaining shares," TSE Working Papers 16-742, Toulouse School of Economics (TSE).

    Cited by:

    1. Morais, Joanna & Trinh, Thi-Huong, 2017. "Impact of socioeconomic factors on nutritional diet in Vietnam from 2004 to 2014: new insights using compositional data analysis," TSE Working Papers 17-825, Toulouse School of Economics (TSE).
    2. Morais, Joanna & Thomas-Agnan, Christine & Simioni, Michel, 2017. "Interpreting the impact of explanatory variables in compositional models," TSE Working Papers 17-805, Toulouse School of Economics (TSE).
    3. Joanna Morais & Christine Thomas-Agnan & Michel Simioni, 2018. "Interpretation of explanatory variables impacts in compositional regression models," Post-Print hal-02617783, HAL.

  19. James P. Lesage & Christine Thomas-Agnan, 2014. "Spatial econometric OD-Flow models," Post-Print hal-03181652, HAL.

    Cited by:

    1. Manfred M Fischer & James P. LeSage, 2014. "Spatial regression-based model specifications for exogenous and endogenous spatial interaction," ERSA conference papers ersa14p716, European Regional Science Association.
    2. Yingxia Pu & Ying Ge, 2016. "Multilateral mechanism analysis of interprovincial migration flows in China," ERSA conference papers ersa16p423, European Regional Science Association.

  20. Thomas-Agnan, Christine & Bonneu, Florent, 2014. "Measuring and testing spatial mass concentration with micro-geographic data," TSE Working Papers 14-474, Toulouse School of Economics (TSE).

    Cited by:

    1. Daniel A. Griffith & Yongwan Chun & Jan Hauke, 2022. "A Moran eigenvector spatial filtering specification of entropy measures," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 259-279, February.
    2. Rawaa Laajimi & Julie Le Gallo & Saloua Benammou, 2020. "What Geographical Concentration of Industries in the Tunisian Sahel? Empirical Evidence Using Distance‐Based Measures," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(5), pages 738-757, December.
    3. Franz-Josef Bade & Eckhardt Bode & Eleonora Cutrini, 2012. "Spatial fragmentation of industries by functions," Working Papers 39-2012, Macerata University, Department of Studies on Economic Development (DiSSE), revised Feb 2012.
    4. Eric Marcon & Florence Puech, 2016. "A typology of distance-based measures of spatial concentration," Post-Print halshs-00679993, HAL.
    5. A. Tidu & S. Usai & Frederick Guy, 2021. "Agglomeration in manufacturing and services: an experimental application of a distance-based measure to Sardinia," Working Paper CRENoS 202110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    6. Marcon, Eric & Puech, Florence, 2017. "A typology of distance-based measures of spatial concentration," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 56-67.
    7. Gabriel Lang & Eric Marcon & Florence Puech, 2020. "Distance-based measures of spatial concentration: introducing a relative density function," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 243-265, April.
    8. Gabriel Lang & Eric Marcon & Florence Puech, 2020. "Distance-based measures of spatial concentration: Introducing a relative density function," Post-Print hal-01082178, HAL.
    9. S. Usai & Frederick Guy & A. Tidu, 2022. "Measuring spatial dispersion: an experimental test on the M-index," Working Paper CRENoS 202206, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

  21. Thomas-Agnan, Christine & Laurent, Thibault & Goulard, Michel, 2013. "About predictions in spatial autoregressive models : Optimal and almost optimal strategies," TSE Working Papers 13-452, Toulouse School of Economics (TSE), revised Dec 2016.

    Cited by:

    1. Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, 2021. "Do neighboring countries matter when explaining bilateral remittances?," TSE Working Papers 21-1221, Toulouse School of Economics (TSE).
    2. Lukas Dargel, 2021. "Revisiting estimation methods for spatial econometric interaction models," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-41, December.
    3. Hunneman, Auke & Bijmolt, Tammo H.A. & Elhorst, J. Paul, 2023. "Evaluating store location and department composition based on spatial heterogeneity in sales potential," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    4. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
    5. Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Post-Print halshs-01698556, HAL.
    6. Takafumi Kato, 2020. "Likelihood-based strategies for estimating unknown parameters and predicting missing data in the simultaneous autoregressive model," Journal of Geographical Systems, Springer, vol. 22(1), pages 143-176, January.
    7. Katarzyna Kopczewska, 2022. "Spatial machine learning: new opportunities for regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 713-755, June.
    8. Suesse, Thomas, 2018. "Marginal maximum likelihood estimation of SAR models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 98-110.
    9. Thibault Laurent & Paula Margaretic & Christine Thomas-Agnan, 2023. "Generalizing Impact Computations for the Autoregressive Spatial Interaction Model," Post-Print hal-04355089, HAL.
    10. Paul-Christian Bürkner & Jonah Gabry & Aki Vehtari, 2021. "Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models," Computational Statistics, Springer, vol. 36(2), pages 1243-1261, June.
    11. Simon K. C. Cheung & Tommy K. Y. Cheung, 2022. "Mixed membership nearest neighbor model with feature difference," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1578-1594, December.
    12. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    13. Dargel, Lukas, 2021. "Revisiting Estimation Methods for Spatial Econometric Interaction Models," TSE Working Papers 21-1192, Toulouse School of Economics (TSE).
    14. Luo, Guowang & Wu, Mixia & Xu, Liwen, 2021. "IPW-based robust estimation of the SAR model with missing data," Statistics & Probability Letters, Elsevier, vol. 172(C).
    15. Thomas Suesse, 2018. "Estimation of spatial autoregressive models with measurement error for large data sets," Computational Statistics, Springer, vol. 33(4), pages 1627-1648, December.
    16. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne & Nguyen, T.H.A & Chakir, Raja & Lungarska, Anna, 2020. "Spatial simultaneous autoregressive models for compositional data: Application to land use," TSE Working Papers 20-1098, Toulouse School of Economics (TSE).
    17. Tingting Huang & Gilbert Saporta & Huiwen Wang & Shanshan Wang, 2021. "A robust spatial autoregressive scalar-on-function regression with t-distribution," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(1), pages 57-81, March.
    18. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2018. "Predicting travel flows with spatially explicit aggregate models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 68-88.

  22. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2009. "GeoXp: An R Package for Exploratory Spatial Data Analysis," TSE Working Papers 09-099, Toulouse School of Economics (TSE).

    Cited by:

    1. T. Gregory & R. Patuelli, 2013. "Regional Age Structure, Human Capital and Innovation - Is Demographic Ageing Increasing Regional Disparities?," Working Papers wp900, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Gonzalez-Ollauri, Alejandro & Thomson, Craig S. & Mickovski, Slobodan B., 2020. "Waste to Land (W2L): A novel tool to show and predict the spatial effect of applying biosolids on the environment," Agricultural Systems, Elsevier, vol. 185(C).
    3. Luc Anselin, 2012. "From SpaceStat to CyberGIS," International Regional Science Review, , vol. 35(2), pages 131-157, April.
    4. Pebesma, Edzer & Bivand, Roger & Ribeiro, Paulo Justiniano, 2015. "Software for Spatial Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i01).
    5. Payton, Quinn C. & McManus, Michael G. & Weber, Marc H. & Olsen, Anthony R. & Kincaid, Thomas M., 2015. "micromap: A Package for Linked Micromaps," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i02).
    6. Angelos Liontakis & Dimitris Kremmydas, 2013. "Food Inflation in EU: Distribution Analysis and Spatial Effects," Working Papers 2013-3, Agricultural University of Athens, Department Of Agricultural Economics.
    7. de Iaco, Sandra, 2017. "The cgeostat Software for Analyzing Complex-Valued Random Fields," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i05).
    8. de Mouzon, Olivier & Laurent, Thibault & Le Breton, Michel, 2020. "One Man, One Vote Part 2: Measurement of Malapportionment and Disproportionality and the Lorenz Curve," TSE Working Papers 20-1089, Toulouse School of Economics (TSE).

  23. Heba, Ines & Malin, Eric & Thomas-Agnan, Christine, 2002. "Exploratory spatial data analysis with GEOXP," ERSA conference papers ersa02p498, European Regional Science Association.

    Cited by:

    1. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2009. "GeoXp: An R Package for Exploratory Spatial Data Analysis," TSE Working Papers 09-099, Toulouse School of Economics (TSE).

  24. Aragon, Y. & Haughton, D. & Haughton, J. & Leconte, E. & Malin, E. & Ruiz-Gazen, A. & Thomas-Agnan. C., 1999. "Explaining the Pattern of Regional Unemployment: the Case of the Midi-Pyrenees Region," Papers 99.519, Toulouse - GREMAQ.

    Cited by:

    1. Victor Montuenga & Roberto Bande & Melchor Fernandez, 2011. "Wage flexibility and local labour markets: homogeneity of the wage curve in Spain," ERSA conference papers ersa11p414, European Regional Science Association.
    2. Roberto Patuelli & Norbert Schanne & Daniel A. Griffith & Peter Nijkamp, 2009. "Persistence of Regional Unemployment: Application of a Spatial Filtering Approach to Local Labour Markets in Germany," Working Paper series 49_09, Rimini Centre for Economic Analysis, revised Nov 2011.
    3. Cracolici, M. Francesca & Cuffaro, Miranda & Nijkamp, Peter, 2007. "Geographical distribution of unemployment: an analysis of provincial differences in Italy," Serie Research Memoranda 0001, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Michel Blanc & François Hild, 2008. "Analyse des marchés locaux du travail : du chômage à l'emploi," Économie et Statistique, Programme National Persée, vol. 415(1), pages 45-60.
    5. Cristiano Perugini & Marcello Signorelli, 2007. "Labour Market Performance Differentials and Dynamics in EU-15 Countries and Regions," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 4(2), pages 209-262, September.
    6. Semerikova, Elena, 2014. "Unemployment in East and West Germany: Spatial panel data analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 107-132.
    7. Ana María Díaz, 2016. "Spatial Unemployment Differentials in Colombia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 76, February.
    8. Cristiano Perugini & Marcello Signorelli, 2010. "Youth labour market performance in European regions," Economic Change and Restructuring, Springer, vol. 43(2), pages 151-185, May.
    9. Laura Helena Kivi, 2019. "Spatial Interactions Of Regional Labour Markets In Europe," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 116, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    10. Maria Cracolici & Miranda Cuffaro & Peter Nijkamp, 2009. "A spatial analysis on Italian unemployment differences," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 275-291, July.
    11. Nigel Driffield & Karl Taylor, 2006. "Wage Spillovers, Inter-regional Effects and the Impact of Inward Investment," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 187-205.
    12. Mark Trede & Michael Zimmermann, 2020. "Regional labour migration - Stylized facts for Germany," CQE Working Papers 9320, Center for Quantitative Economics (CQE), University of Muenster.
    13. Franziska Lottmann, 2012. "Explaining regional unemployment differences in Germany: a spatial panel data analysis," SFB 649 Discussion Papers SFB649DP2012-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    14. Sarantis LOLOS & Evangelia PAPAPETROU, 2012. "Unemployment disparities and persistence Assessing the evidence from Greek regions, 1981-2008," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(1), pages 69-90.
    15. Natalia PRESSMAN & Vadim KLEPFISH, 2008. "Regional Unemployment Rate Convergence in Israel," EcoMod2008 23800110, EcoMod.
    16. Olga Demidova & Marcello Signorelli, 2010. "The Impact of Crises on Youth Unemployment of Russian Regions: An Empirical Analysis," Quaderni del Dipartimento di Economia, Finanza e Statistica 78/2010, Università di Perugia, Dipartimento Economia.
    17. Román Mínguez & María L. & Roberto Basile, 2016. "Spatio-Temporal Autoregressive Semiparametric Model for the analysis of regional economic data," Working Papers LuissLab 16126, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    18. Emmanuel Duguet & Yannick L'horty & Florent Sari, 2023. "Agglomeration effects and unemployment to work: Evidence from French data," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 129-166, February.
    19. Franziska Lottmann, 2012. "Regional Unemployment in Germany: a spatial panel data analysis," ERSA conference papers ersa12p53, European Regional Science Association.
    20. Laura Helena KIVI & Tiiu PAAS, 2021. "Spatial interactions of employment in European labour markets," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 12, pages 196-211, August.
    21. Semerikova, Elena & Demidova, Olga, 2016. "Using spatial econometric models for regional unemployment forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 29-51.
    22. del Campo, Cristina & Monteiro, Carlos M.F. & Soares, Joao Oliveira, 2008. "The European regional policy and the socio-economic diversity of European regions: A multivariate analysis," European Journal of Operational Research, Elsevier, vol. 187(2), pages 600-612, June.
    23. Román Mínguez & Roberto Basile & María Durbán, 2020. "An alternative semiparametric model for spatial panel data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 669-708, December.
    24. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.

  25. Mammen, Enno & Thomas-Agnan, C., 1996. "Smoothing Splines And Shape Restrictions," SFB 373 Discussion Papers 1996,87, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Wu, Ximing & Sickles, Robin, 2018. "Semiparametric estimation under shape constraints," Econometrics and Statistics, Elsevier, vol. 6(C), pages 74-89.
    2. Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 14/17, Institute for Fiscal Studies.
    3. Hazelton, Martin L. & Turlach, Berwin A., 2011. "Semiparametric regression with shape-constrained penalized splines," Computational Statistics & Data Analysis, Elsevier, vol. 55(10), pages 2871-2879, October.
    4. Ait-Sahalia, Yacine & Duarte, Jefferson, 2003. "Nonparametric option pricing under shape restrictions," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 9-47.
    5. Joel L. Horowitz & Sokbae (Simon) Lee, 2015. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers CWP67/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Gianluca Cassese, 2014. "Option pricing in an imperfect world," Working Papers 277, University of Milano-Bicocca, Department of Economics, revised Jun 2014.
    7. Eduardo L. Montoya & Wendy Meiring, 2016. "An F-type test for detecting departure from monotonicity in a functional linear model," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(2), pages 322-337, June.
    8. Joel L. Horowitz & Sokbae (Simon) Lee, 2015. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers 67/15, Institute for Fiscal Studies.
    9. Pang Du & Christopher F. Parmeter & Jeffrey S. Racine, 2012. "Nonparametric Kernel Regression with Multiple Predictors and Multiple Shape Constraints," Department of Economics Working Papers 2012-08, McMaster University.
    10. Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
    11. Tatiana Komarova & Javier Hidalgo, 2019. "Testing nonparametric shape restrictions," Papers 1909.01675, arXiv.org, revised Jun 2020.
    12. Ana Colubi & J. Santos Dominguez-Menchero & Gil Gonzalez-Rodriguez, 2018. "New designs to consistently estimate the isotonic regression," Computational Statistics, Springer, vol. 33(2), pages 639-658, June.
    13. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    14. Bhattacharjee, Arnab, 2004. "Estimation in hazard regression models under ordered departures from proportionality," Computational Statistics & Data Analysis, Elsevier, vol. 47(3), pages 517-536, October.
    15. Rossini, Jacopo & Canale, Antonio, 2019. "Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints," Journal of Multivariate Analysis, Elsevier, vol. 170(C), pages 221-231.
    16. Dette, Holger & Birke, Melanie, 2005. "A note on estimating a monotone regression by combining kernel and density estimates," Technical Reports 2005,24, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    17. Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 39/15, Institute for Fiscal Studies.
    18. Lee, Chia-Yen & Johnson, Andrew L. & Moreno-Centeno, Erick & Kuosmanen, Timo, 2013. "A more efficient algorithm for Convex Nonparametric Least Squares," European Journal of Operational Research, Elsevier, vol. 227(2), pages 391-400.
    19. Mary Meyer & Amber Hackstadt & Jennifer Hoeting, 2011. "Bayesian estimation and inference for generalised partial linear models using shape-restricted splines," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 23(4), pages 867-884.
    20. Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
    21. Gianluca Cassese, 2019. "Nonparametric Estimates Of Option Prices And Related Quantities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(07), pages 1-29, November.
    22. Hall, Peter & Yatchew, Adonis, 2005. "Unified approach to testing functional hypotheses in semiparametric contexts," Journal of Econometrics, Elsevier, vol. 127(2), pages 225-252, August.
    23. Canale, Antonio & Vantini, Simone, 2016. "Constrained functional time series: Applications to the Italian gas market," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1340-1351.
    24. Timo Kuosmanen & Andrew L. Johnson, 2010. "Data Envelopment Analysis as Nonparametric Least-Squares Regression," Operations Research, INFORMS, vol. 58(1), pages 149-160, February.
    25. Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, Institute for Fiscal Studies.
    26. Joel L. Horowitz & Sokbae (Simon) Lee, 2016. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers 29/16, Institute for Fiscal Studies.
    27. Gianluca Cassese, 2015. "Nonparametric Estimates of Option Prices Using Superhedging," Working Papers 293, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    28. Matthias R. Fengler, 2005. "Arbitrage-Free Smoothing of the Implied Volatility Surface," SFB 649 Discussion Papers SFB649DP2005-019, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    29. Fengler, Matthias R. & Hin, Lin-Yee, 2015. "Semi-nonparametric estimation of the call-option price surface under strike and time-to-expiry no-arbitrage constraints," Journal of Econometrics, Elsevier, vol. 184(2), pages 242-261.
    30. Christophe Abraham & Khader Khadraoui, 2015. "Bayesian regression with B-splines under combinations of shape constraints and smoothness properties," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(2), pages 150-170, May.
    31. Komarova, Tatiana & Hidalgo, Javier, 2023. "Testing nonparametric shape restrictions," LSE Research Online Documents on Economics 121410, London School of Economics and Political Science, LSE Library.
    32. Dette, Holger & Neumeyer, Natalie & Pilz, Kay F., 2003. "A simple nonparametric estimator of a monotone regression function," Technical Reports 2003,26, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    33. Antoniadis, Anestis & Bigot, Jéremie & Gijbels, Irène, 2007. "Penalized wavelet monotone regression," Statistics & Probability Letters, Elsevier, vol. 77(16), pages 1608-1621, October.

  26. Diack, C.A.T. & Thomas-Agnan, C., 1996. "A Nonparametric Test of The Non-Convexity of Regression," Papers 976.427, Toulouse - GREMAQ.

    Cited by:

    1. Tatiana Komarova & Javier Hidalgo, 2019. "Testing nonparametric shape restrictions," Papers 1909.01675, arXiv.org, revised Jun 2020.
    2. Diack, Cheikh A. T., 1998. "A consistent nonparametric test of the convexity of regression based on least squares splines," SFB 373 Discussion Papers 1998,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    3. Hervé Cardot, 2002. "Local roughness penalties for regression splines," Computational Statistics, Springer, vol. 17(1), pages 89-102, March.
    4. Nanjing Jian & Shane G. Henderson, 2020. "Estimating the Probability that a Function Observed with Noise Is Convex," INFORMS Journal on Computing, INFORMS, vol. 32(2), pages 376-389, April.
    5. Komarova, Tatiana & Hidalgo, Javier, 2023. "Testing nonparametric shape restrictions," LSE Research Online Documents on Economics 121410, London School of Economics and Political Science, LSE Library.

  27. Delecroix, M. & Simioni, M. & Thomas-Agnan, C., 1992. "Functional Estimation Under Shape Constraints," Papers 92.269, Toulouse - GREMAQ.

    Cited by:

    1. Qu, Zhongjun & Yoon, Jungmo, 2015. "Nonparametric estimation and inference on conditional quantile processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 1-19.
    2. Kim, Yuwon & Koo, Ja-Yong, 2005. "Inverse boosting for monotone regression functions," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 757-770, June.

Articles

  1. Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2023. "Covariates impacts in spatial autoregressive models for compositional data," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-23, December.
    See citations under working paper version above.
  2. Thibault Laurent & Paula Margaretic & Christine Thomas-Agnan, 2022. "Neighbouring countries and bilateral remittances: a global study," Spatial Economic Analysis, Taylor & Francis Journals, vol. 17(4), pages 557-584, October.
    See citations under working paper version above.
  3. T. H. A. Nguyen & T. Laurent & C. Thomas-Agnan & A. Ruiz-Gazen, 2022. "Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(5), pages 1235-1251, April.
    See citations under working paper version above.
  4. Thi Huong An Nguyen & Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen, 2021. "A simultaneous spatial autoregressive model for compositional data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(2), pages 161-175, April.
    See citations under working paper version above.
  5. Thi Huong An Nguyen & Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent, 2019. "Multivariate Student versus Multivariate Gaussian Regression Models with Application to Finance," JRFM, MDPI, vol. 12(1), pages 1-21, February.

    Cited by:

    1. Chia-Lin Chang, 2020. "Editorial for Applied Econometrics," JRFM, MDPI, vol. 13(9), pages 1-5, August.

  6. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Assessing the nonlinearity of the calorie-income relationship: An estimation strategy – With new insights on nutritional transition in Vietnam," World Development, Elsevier, vol. 110(C), pages 192-204.
    See citations under working paper version above.
  7. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Decomposition of changes in the consumption of macronutrients in Vietnam between 2004 and 2014," Economics & Human Biology, Elsevier, vol. 31(C), pages 259-275.
    See citations under working paper version above.
  8. Joanna Morais & Christine Thomas-Agnan & Michel Simioni, 2018. "Using compositional and Dirichlet models for market share regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(9), pages 1670-1689, July.
    See citations under working paper version above.
  9. Michel Goulard & Thibault Laurent & Christine Thomas-Agnan, 2017. "About predictions in spatial autoregressive models: optimal and almost optimal strategies," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 304-325, July.
    See citations under working paper version above.
  10. Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 357-380, June.
    See citations under working paper version above.
  11. James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.

    Cited by:

    1. David Martín-Barroso & Juan A. Núñez-Serrano & Francisco J. Velázquez, 2015. "The Effect Of Accessibility On Productivity In Spanish Manufacturing Firms," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 708-735, November.
    2. Alessio Baldassarre & Danilo Carullo & Paolo Di Caro & Elisa Fusco & Pasquale Giacobbe & Carlo Orecchia, 2023. "Bilateral Regional Trade Flows in Italy: an Origin-Destination-Commodity GWR-SAR approach," Working Papers wp2023-18, Ministry of Economy and Finance, Department of Finance.
    3. Carlos Llano-Verduras & Santiago Pérez-Balsalobre & Ana Rincón-Aznar, 2021. "Market fragmentation and the rise of sub-national regulation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 765-797, December.
    4. Luo, Shali & Miller, J. Isaac, 2014. "On the spatial correlation of international conflict initiation and other binary and dyadic dependent variables," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 107-118.
    5. Manfred M. Fischer & James P. LeSage, 2020. "Network dependence in multi-indexed data on international trade flows," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-26, December.
    6. Luisa Alamá-Sabater & Benedikt Heid & Eduardo Jiménez-Fernández & Laura Márquez-Ramos, 2017. "FDI in Space Revisited: The Role of Spillovers on Foreign Direct Investment within the European Union," Growth and Change, Wiley Blackwell, vol. 48(3), pages 390-408, September.
    7. Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, 2021. "Do neighboring countries matter when explaining bilateral remittances?," TSE Working Papers 21-1221, Toulouse School of Economics (TSE).
    8. Gabriel Lyrio de Oliveira & André Luis Squarize Chagas, 2020. "Effects of a cash transfer programme on origin–destination migration flows," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(1), pages 83-104, February.
    9. Hu, Xinlei & Wang, Xiaokun (Cara) & Ni, Linglin & Shi, Feng, 2022. "The impact of intercity economic complementarity on HSR volume in the context of megalopolization," Journal of Transport Geography, Elsevier, vol. 98(C).
    10. Oshan, Taylor M., 2022. "Spatial Interaction Modeling," OSF Preprints m3ah8, Center for Open Science.
    11. Antosik, Liubov & Ivashina, Natalya, 2019. "Modeling of spatial dependence in the migration flows of graduates of the higher education institutions of the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 70-89.
    12. Tamara Mata & Carlos Llano, 2013. "Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects," Journal of Geographical Systems, Springer, vol. 15(3), pages 319-367, July.
    13. Yin, Zhonghua & Wang, Fang & Gan, Jianbang, 2020. "Spatial spillover effects of global forest product trade," Forest Policy and Economics, Elsevier, vol. 113(C).
    14. Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
    15. Peter Egger & Michael Pfaffermayr, 2016. "A generalized spatial error components model for gravity equations," Empirical Economics, Springer, vol. 50(1), pages 177-195, February.
    16. Giuseppe Ricciardo Lamonica, 2018. "An analysis of methods for the treatment of autocorrelation in spatial interaction models," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(2), pages 2-9, April-Jun.
    17. Verkade, Emiel & Bakens, Jessie, 2020. "Commuter flow predictions in POA: Evaluation study," ROA Technical Report 005, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    18. Manfred M Fischer & James P. LeSage, 2014. "Spatial regression-based model specifications for exogenous and endogenous spatial interaction," ERSA conference papers ersa14p716, European Regional Science Association.
    19. Rodolfo Metulini & Paolo Sgrignoli & Stefano Schiavo & Massimo Riccaboni, 2014. "The migration network effect on international trade," Working Papers 5/2014, IMT School for Advanced Studies Lucca, revised May 2014.
    20. Chengzhuo Wu & Li Zhuo & Zhuo Chen & Haiyan Tao, 2021. "Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    21. James Paul LeSage & Manfred M. Fischer, 2020. "Cross-sectional dependence model specifications in a static trade panel data setting," Journal of Geographical Systems, Springer, vol. 22(1), pages 5-46, January.
    22. Moura, Ticiana Grecco Zanon & Chen, Zhangliang & Garcia-Alonso, Lorena, 2019. "Spatial interaction effects on inland distribution of maritime flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 1-10.
    23. Andrew J. Cassey & Katherine N. Schmeiser & Andreas Waldkirch, 2016. "Exporting Spatial Externalities," Open Economies Review, Springer, vol. 27(4), pages 697-720, September.
    24. Sardadvar, Sascha & Vakulenko, Elena, 2020. "Estimating and interpreting internal migration flows in Russia by accounting for network effects," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    25. Rodolfo Metulini & Paolo Sgrignoli & Stefano Schiavo & Massimo Riccaboni, 2018. "The network of migrants and international trade," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 763-787, December.
    26. Thibault Laurent & Paula Margaretic & Christine Thomas-Agnan, 2023. "Generalizing Impact Computations for the Autoregressive Spatial Interaction Model," Post-Print hal-04355089, HAL.
    27. Luisa Alamá-Sabater & Miguel Ángel Márquez & Emili Tortosa-Ausina & Júlia Cravo, 2022. "Are semi-urban spillovers the answer to left-behind places in rural Europe? The case of the Portuguese municipalities," Working Papers 2022/14, Economics Department, Universitat Jaume I, Castellón (Spain).
    28. Pamela Smith & Xiangwen Kong, 2022. "Intellectual property rights and trade: The exceptional case of GMOs," The World Economy, Wiley Blackwell, vol. 45(3), pages 763-811, March.
    29. Yufei Lin & Yingxia Pu & Xinyi Zhao & Guangqing Chi & Cui Ye, 2023. "The Spatiotemporal Elasticity of Age Structure in China’s Interprovincial Migration System," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    30. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    31. Yingxia Pu & Ying Ge, 2016. "Multilateral mechanism analysis of interprovincial migration flows in China," ERSA conference papers ersa16p423, European Regional Science Association.
    32. Emanuela Marrocu & Silvia Balia & Rinaldo Brau, 2016. "A spatial analysis of inter-regional patient mobility in Italy," ERSA conference papers ersa16p127, European Regional Science Association.

  12. Van Huyen Do & Christine Thomas-Agnan & Anne Vanhems, 2015. "Spatial reallocation of areal data – another look at basic methods," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(1), pages 27-58.

    Cited by:

    1. Cláudia M. Viana & Dulce Freire & Patrícia Abrantes & Jorge Rocha, 2021. "Evolution of Agricultural Production in Portugal during 1850–2018: A Geographical and Historical Perspective," Land, MDPI, vol. 10(8), pages 1-18, July.
    2. Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2016. "Spatial scale in land use models: application to the Teruti-Lucas survey," TSE Working Papers 16-667, Toulouse School of Economics (TSE).

  13. Florent Bonneu & Christine Thomas-Agnan, 2015. "Measuring and Testing Spatial Mass Concentration with Micro-geographic Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(3), pages 289-316, September.
    See citations under working paper version above.
  14. Peter Filzmoser & Anne Ruiz-Gazen & Christine Thomas-Agnan, 2014. "Identification of local multivariate outliers," Statistical Papers, Springer, vol. 55(1), pages 29-47, February.

    Cited by:

    1. Mohammed Attouch & Ali Laksaci & Nafissa Messabihi, 2017. "Nonparametric relative error regression for spatial random variables," Statistical Papers, Springer, vol. 58(4), pages 987-1008, December.
    2. Brenton R. Clarke & Andrew Grose, 2023. "A further study comparing forward search multivariate outlier methods including ATLA with an application to clustering," Statistical Papers, Springer, vol. 64(2), pages 395-420, April.
    3. Fernanda De Bastiani & Audrey Mariz de Aquino Cysneiros & Miguel Uribe-Opazo & Manuel Galea, 2015. "Influence diagnostics in elliptical spatial linear models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(2), pages 322-340, June.
    4. Tarr, G. & Müller, S. & Weber, N.C., 2016. "Robust estimation of precision matrices under cellwise contamination," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 404-420.
    5. Andrea Cerioli & Marco Riani & Anthony C. Atkinson & Aldo Corbellini, 2018. "Rejoinder to the discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(4), pages 661-666, December.

  15. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2012. "GeoXp: An R Package for Exploratory Spatial Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i02).
    See citations under working paper version above.
  16. Marie-Benoît Magrini & Florent Bonneu & Christine Thomas-Agnan & Sandrine Coelho, 2011. "Educational Planning: A Simulation Approach for the Creation or Closure of School Classes," Environment and Planning B, , vol. 38(4), pages 595-615, August.

    Cited by:

    1. Alan T Murray & Ran Wei & Tony H Grubesic, 2014. "An Approach for Examining Alternatives Attributable to Locational Uncertainty," Environment and Planning B, , vol. 41(1), pages 93-109, February.

  17. Bonneu, Florent & Thomas-Agnan, Christine, 2009. "Spatial point process models for location-allocation problems," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3070-3081, June.

    Cited by:

    1. LeSage, James & Banerjee, Sudipto & Fischer, Manfred M. & Congdon, Peter, 2009. "Spatial statistics: Methods, models & computation," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2781-2785, June.
    2. Florent Bonneu & Abdelaati Daouia, 2010. "Mass transportation and the consistency of the empirical optimal conditional locations," Annals of Operations Research, Springer, vol. 181(1), pages 159-170, December.
    3. Daouia, Abdelaati & Van Keilegom, Ingrid, 2015. "A random locational M-estimation problem based on the L2-Wasserstein distance," LIDAM Discussion Papers ISBA 2015017, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

  18. Yves Aragon & Abdelaati Daouia & Christine Thomas-Agnan, 2006. "Efficiency Measurement: A Nonparametric Approach," Annals of Economics and Statistics, GENES, issue 82, pages 217-242.

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    2. Nicolas Gavoille & Marijn Verschelde, 2017. "Electoral competition and political selection: An analysis of the activity of French deputies, 1958–2012," Post-Print hal-01745350, HAL.
    3. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.

  19. Aragon, Y. & Daouia, A. & Thomas-Agnan, C., 2005. "Nonparametric Frontier Estimation: A Conditional Quantile-Based Approach," Econometric Theory, Cambridge University Press, vol. 21(2), pages 358-389, April.

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    2. Rita Bastião & Nuno de Sousa Pereira, 2020. "Performance in the Delivery of Primary Health Care Services: A Longitudinal Analysis," CEF.UP Working Papers 2002, Universidade do Porto, Faculdade de Economia do Porto.
    3. Figueiredo De Oliveira, Gabriel & Cariou, Pierre, 2015. "The impact of competition on container port (in)efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 124-133.
    4. Carlucci, Fabio & Corcione, Carlo & Mazzocchi, Paolo & Trincone, Barbara, 2021. "The role of logistics in promoting Italian agribusiness: The Belt and Road Initiative case study," Land Use Policy, Elsevier, vol. 108(C).
    5. Fall, François Seck & Tchakoute Tchuigoua, Hubert & Vanhems, Anne & Simar, Léopold, 2022. "Investigating the unobserved heterogeneity effect on microfinance social efficiency," LIDAM Discussion Papers ISBA 2022010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Daouia, Abdelaati & Park, Byeong, 2013. "On Projection-type Estimators of Multivariate Isotonic Functions," LIDAM Reprints ISBA 2013020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Atwood, Joseph & Shaik, Saleem, 2020. "Theory and statistical properties of Quantile Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 286(2), pages 649-661.
    8. Tarcio Da Silva & Carlos Martins-filho & Eduardo Ribeiro, 2016. "A comparison of nonparametric efficiency estimators: DEA, FDH, DEAC, FDHC, order-m and quantile," Economics Bulletin, AccessEcon, vol. 36(1), pages 118-131.
    9. Girard, Séphane & Jacob, Pierre, 2009. "Frontier estimation with local polynomials and high power-transformed data," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1691-1705, September.
    10. Marcel Clermont & Julia Schaefer, 2019. "Identification of Outliers in Data Envelopment Analysis," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 475-496, October.
    11. Abdelaati Daouia & Léopold Simar & Paul W. Wilson, 2017. "Measuring firm performance using nonparametric quantile-type distances," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 156-181, March.
    12. Emili Tortosa Ausina & Diego Prior & María Teresa Balaguer-Coll, 2006. "Decentralization And Effiency In Spanish Local Goverment," Working Papers. Serie EC 2006-02, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    13. Köppl-Turyna, Monika & Bittó, Virág & Graf, Nikolaus, 2022. "Effizienzpotenziale in der Kinderbetreuung in Österreich," Policy Notes 50, EcoAustria – Institute for Economic Research.
    14. Jaime Valles-Gimenez & Anabel Zarate-Marco, 2017. "Tax Effort of Local Governments and its Determinants: The Spanish Case," Annals of Economics and Finance, Society for AEF, vol. 18(2), pages 323-348, November.
    15. Xia, X.H. & Chen, Y.B. & Li, J.S. & Tasawar, H. & Alsaedi, A. & Chen, G.Q., 2014. "Energy regulation in China: Objective selection, potential assessment and responsibility sharing by partial frontier analysis," Energy Policy, Elsevier, vol. 66(C), pages 292-302.
    16. Tsionas, Mike G., 2020. "Quantile Stochastic Frontiers," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1177-1184.
    17. O’Loughlin, Caitlin & Simar, Léopold & Wilson, Paul, 2021. "Methodologies for assessing government efficiency," LIDAM Discussion Papers ISBA 2021002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    18. Cazals, Catherine & Feve, Frederique & Florens, Jean-Pierre & Simar, Leopold, 2016. "Non Parametric Instrumental Variables Estimation for Efficiency Frontier," LIDAM Reprints ISBA 2016014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    19. Simar, Leopold & Vanhems, Anne & Van Keilegom, Ingrid, 2013. "Unobserved heterogeneity and endogeneity in nonparametric frontier estimation," LIDAM Discussion Papers ISBA 2013054, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    20. Simar, Leopold & Vanhems, Anne, 2012. "Probabilistic characterization of directionaldistances and their robustversions," LIDAM Reprints ISBA 2012003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    21. K Hervé Dakpo, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers SMART 16-06, INRAE UMR SMART.
    22. Juan Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2019. "Does active management add value? New evidence from a quantile regression approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1734-1751, October.
    23. François-Seck Fall & Hubert Tchakoute Tchuigoua & Anne Vanhems & Léopold Simar, 2021. "Gender effect on microfinance social efficiency: A robust nonparametric approach," Post-Print hal-03200582, HAL.
    24. Martins-Filho, Carlos & Ziegelmann, Flávio Augusto & Torrent, Hudson da Silva, 2013. "Local Exponential Frontier Estimation," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(2), November.
    25. Wohlrabe, Klaus & Bornmann, Lutz & de Moya Anegon, Felix, 2017. "Wie effizient sind Universitäten in Deutschland, deren Zukunftskonzepte im Rahmen der Exzellenzinitiative ausgezeichnet wurden? Ein empirischer Vergleich von Input- und Output-Daten zur Forschung [," MPRA Paper 76218, University Library of Munich, Germany.
    26. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    27. Amparo Soler Domínguez & Juan Carlos Matallín Sáez & Emili Tortosa Ausina, 2011. "On the informativeness of persistence for mutual funds' performance evaluation using partial frontiers," Working Papers. Serie EC 2011-08, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    28. Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2009. "Frontier Estimation and Extreme Values Theory," TSE Working Papers 10-165, Toulouse School of Economics (TSE).
    29. Martins-Filho, Carlos & Yao, Feng, 2008. "A smooth nonparametric conditional quantile frontier estimator," Journal of Econometrics, Elsevier, vol. 143(2), pages 317-333, April.
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    32. Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany.
    33. Diogo Cunha Ferreira & Rui Cunha Marques, 2020. "A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale," Operational Research, Springer, vol. 20(2), pages 1011-1046, June.
    34. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2015. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Post-Print hal-01563023, HAL.
    35. Nolwenn Roudaut & Anne Vanhems, 2012. "Explaining firms efficiency in the Ivorian manufacturing sector: a robust nonparametric approach," Journal of Productivity Analysis, Springer, vol. 37(2), pages 155-169, April.
    36. Krüger, Jens, 2010. "A Monte Carlo study of old and new frontier methods for efficiency measurement," Darmstadt Discussion Papers in Economics 200, Darmstadt University of Technology, Department of Law and Economics.
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    38. Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2009. "Regularization of Nonparametric Frontier Estimators," IDEI Working Papers 614, Institut d'Économie Industrielle (IDEI), Toulouse.
    39. Camanho, Ana S. & Stumbriene, Dovile & Barbosa, Flávia & Jakaitiene, Audrone, 2023. "The assessment of performance trends and convergence in education and training systems of European countries," European Journal of Operational Research, Elsevier, vol. 305(1), pages 356-372.
    40. Ferreira, D.C. & Marques, R.C., 2019. "Do quality and access to hospital services impact on their technical efficiency?," Omega, Elsevier, vol. 86(C), pages 218-236.
    41. Christopher Bruffaerts & Bram De Rock & Catherine Dehon, 2013. "The robustness of the hyperbolic efficiency estimator," ULB Institutional Repository 2013/131706, ULB -- Universite Libre de Bruxelles.
    42. Frederick, Joshua D. & Fung, Derrick W.H. & Yang, Charles C. & Yeh, Jason J.H., 2022. "Individual health insurance reforms in the U.S.: Expanding interstate markets, Medicare for all, or Medicaid for all?," European Journal of Operational Research, Elsevier, vol. 297(2), pages 753-765.
    43. Diogo Cunha Ferreira & Rui Cunha Marques & Maria Isabel Pedro & Carolina Amaral, 2020. "Economic Inefficiency Levels of Urban Solid Waste Management Services in Portugal," Sustainability, MDPI, vol. 12(10), pages 1-29, May.
    44. Fève, Frédérique & Florens, Jean-Pierre & Simar, Léopold, 2022. "Proportional Incremental Cost Probability Functions and their Frontiers," LIDAM Discussion Papers ISBA 2022016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    45. Jean-François Brun & Constantin Thierry Compaore, 2021. "Public Expenditures Efficiency On Education Distribution in Developing Countries," Working Papers hal-03116615, HAL.
    46. Leonardo A. Rocha & Maria Ester S. Dal Poz & Patrícia V.P.S. Lima & Ahmad S. Khan & Napiê G. A. Silva, 2019. "Corruption, bureaucracy and other institutional failures: the “cancer†of innovation and development," Economics Bulletin, AccessEcon, vol. 39(3), pages 1740-1754.
    47. Henriques, Alda A. & Camanho, Ana S. & Amorim, Pedro & Silva, Jaime G., 2020. "Performance benchmarking using composite indicators to support regulation of the Portuguese wastewater sector," Utilities Policy, Elsevier, vol. 66(C).
    48. Klaus Wohlrabe & Lutz Bornmann & Sabine Gralka & Felix de Moya Anegon, 2018. "Wie effizient forschen Universitäten in Deutschland, deren Zukunftskonzepte im Rahmen der Exzellenzinitiative ausgezeichnet wurden?," ifo Working Paper Series 253, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    49. Wheelock, David C. & Wilson, Paul W., 2013. "The evolution of cost-productivity and efficiency among US credit unions," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 75-88.
    50. Cliff J. Huang & Tsu-Tan Fu & Hung-Pin Lai & Yung-Lieh Yang, 2017. "Semiparametric smooth coefficient quantile estimation of the production profile," Empirical Economics, Springer, vol. 52(1), pages 373-392, February.
    51. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, New Economic School (NES).
    52. Abdelsalam, Omneya & Duygun, Meryem & Matallín-Sáez, Juan Carlos & Tortosa-Ausina, Emili, 2014. "Do ethics imply persistence? The case of Islamic and socially responsible funds," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 182-194.
    53. Agasisti, Tommaso & Antequera, Germán & Delprato, Marcos, 2023. "Technological resources, ICT use and schools efficiency in Latin America – Insights from OECD PISA 2018," International Journal of Educational Development, Elsevier, vol. 99(C).
    54. Nikolova Milena & Popova Olga, 2021. "Sometimes Your Best Just Ain’t Good Enough: The Worldwide Evidence on Subjective Well-being Efficiency," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(1), pages 83-114, January.
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    61. Mika Kortelainen & Kalevi Luoma & Antti Moisio, 2014. "Break-ups of municipal health centre federations: Expenditure and efficiency effects," ERSA conference papers ersa14p1144, European Regional Science Association.
    62. Zárate Marco, Anabel & Vallés Giménez, Jaime, 2018. "Regional tax effort in Spain," Economics Discussion Papers 2018-79, Kiel Institute for the World Economy (IfW Kiel).
    63. Guillermo Díaz & Vincent Charles, 2016. "Regulatory design and technical efficiency: public transport in France," Journal of Regulatory Economics, Springer, vol. 50(3), pages 328-350, December.
    64. Kourtesi, Sofia & De Witte, Kristof & Polymeros, Apostolos, 2016. "Technical Efficiency in the Agricultural Sector - Evidence from a Conditional Quantile-Based Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
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    67. Nikolova, Milena & Popova, Olga, 2017. "Sometimes Your Best Just Ain't Good Enough: The Worldwide Evidence on Well-Being Efficiency," IZA Discussion Papers 10774, Institute of Labor Economics (IZA).
    68. Cinzia Daraio & Leopold Simar, 2022. "Approximations and Inference for Nonparametric Production Frontiers," LEM Papers Series 2022/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    69. Florens, Jean-Pierre & Simar, Leopold & Van Keilegom, Ingrid, 2013. "Frontier estimation in nonparametric location-scale models," LIDAM Reprints ISBA 2013035, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    70. Salomé Kahindo & Stéphane Blancard, 2022. "Reducing pesticide use through optimal reallocation at different spatial scales: The case of French arable farming," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 648-666, July.
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    73. Raith, Andrea & Ehrgott, Matthias & Fauzi, Fariza & Lin, Kuan-Min & Macann, Andrew & Rouse, Paul & Simpson, John, 2022. "Integrating Data Envelopment Analysis into radiotherapy treatment planning for head and neck cancer patients," European Journal of Operational Research, Elsevier, vol. 296(1), pages 289-303.
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    75. Badunenko, Oleg & Cordero, Jose M. & Kumbhakar, Subal C., 2021. "Are you slacking? Where do you and your country stand in the happiness pursuit?," MPRA Paper 108316, University Library of Munich, Germany.
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    86. Pérez-López, Gemma & Prior, Diego & Zafra-Gómez, José Luis & Plata-Díaz, Ana María, 2016. "Cost efficiency in municipal solid waste service delivery. Alternative management forms in relation to local population size," European Journal of Operational Research, Elsevier, vol. 255(2), pages 583-592.
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    112. Meleddu, Marta & Pulina, Manuela, 2018. "Public spending on renewable energy in Italian regions," Renewable Energy, Elsevier, vol. 115(C), pages 1086-1098.
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  20. Li K-C. & Aragon Y. & Shedden K. & Thomas Agnan C., 2003. "Dimension Reduction for Multivariate Response Data," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 99-109, January.

    Cited by:

    1. Wittkowski, Knut M., 2003. "Novel Methods for Multivariate Ordinal Data applied to Genetic Diplotypes, Genomic Pathways, Risk Profiles, and Pattern Similarity," MPRA Paper 4570, University Library of Munich, Germany.
    2. Saracco, Jérôme, 2005. "Asymptotics for pooled marginal slicing estimator based on SIR[alpha] approach," Journal of Multivariate Analysis, Elsevier, vol. 96(1), pages 117-135, September.
    3. Wen, Xuerong Meggie, 2010. "On sufficient dimension reduction for proportional censorship model with covariates," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1975-1982, August.
    4. Noorbaloochi, Siamak & Nelson, David, 2008. "Conditionally specified models and dimension reduction in the exponential families," Journal of Multivariate Analysis, Elsevier, vol. 99(8), pages 1574-1589, September.
    5. Benoît Liquet & Jérôme Saracco, 2007. "Pooled marginal slicing approach via SIR α with discrete covariables," Computational Statistics, Springer, vol. 22(4), pages 599-617, December.
    6. Yoo, Jae Keun, 2008. "Sufficient dimension reduction for the conditional mean with a categorical predictor in multivariate regression," Journal of Multivariate Analysis, Elsevier, vol. 99(8), pages 1825-1839, September.
    7. Yoo, Jae Keun & Cook, R. Dennis, 2008. "Response dimension reduction for the conditional mean in multivariate regression," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 334-343, December.
    8. Heng-Hui Lue, 2010. "On principal Hessian directions for multivariate response regressions," Computational Statistics, Springer, vol. 25(4), pages 619-632, December.
    9. Jae Yoo & Keunbaik Lee & Seongho Wu, 2010. "On the extension of sliced average variance estimation to multivariate regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(4), pages 529-540, November.
    10. Girard, Sylvain & Romary, Thomas & Favennec, Jean-Melaine & Stabat, Pascal & Wackernagel, Hans, 2013. "Sensitivity analysis and dimension reduction of a steam generator model for clogging diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 113(C), pages 143-153.

  21. Poiraud-Casanova, Sandrine & Thomas-Agnan, Christine, 2000. "About monotone regression quantiles," Statistics & Probability Letters, Elsevier, vol. 48(1), pages 101-104, May.

    Cited by:

    1. Samuel Kotz & Tomasz Kozubowski & Krzysztof Podgórski, 2002. "Maximum Likelihood Estimation of Asymmetric Laplace Parameters," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(4), pages 816-826, December.
    2. Bajgiran, Amirsaman H. & Mardikoraem, Mahsa & Soofi, Ehsan S., 2021. "Maximum entropy distributions with quantile information," European Journal of Operational Research, Elsevier, vol. 290(1), pages 196-209.
    3. Leopoldo Catania & Alessandra Luati & Pierluigi Vallarino, 2021. "Economic vulnerability is state dependent," CREATES Research Papers 2021-09, Department of Economics and Business Economics, Aarhus University.
    4. Tomasz Kozubowski & Saralees Nadarajah, 2010. "Multitude of Laplace distributions," Statistical Papers, Springer, vol. 51(1), pages 127-148, January.

  22. E. Mammen & C. Thomas‐Agnan, 1999. "Smoothing Splines and Shape Restrictions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 26(2), pages 239-252, June.
    See citations under working paper version above.
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