Katarzyna Kopczewska

Personal Details

First Name:	Katarzyna
Middle Name:
Last Name:	Kopczewska
Suffix:
RePEc Short-ID:	pko518

Affiliation

Wydział Nauk Ekonomicznych
Uniwersytet Warszawski

Warszawa, Poland
http://www.wne.uw.edu.pl/
RePEc:edi:fesuwpl (more details at EDIRC)

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. Katarzyna Kopczewska, 2021. "Spatial Machine Learning – New Opportunities for Regional Science," Working Papers 2021-16, Faculty of Economic Sciences, University of Warsaw.
   • 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.

   Cited by:

   1. Rodrigo García Arancibia & Pamela Llop & Mariel Lovatto, 2023. "Nonparametric prediction for univariate spatial data: Methods and applications," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 635-672, June.
   2. Alessia Benevento & Fabrizio Durante, 2023. "Wasserstein Dissimilarity for Copula-Based Clustering of Time Series with Spatial Information," Mathematics, MDPI, vol. 12(1), pages 1-15, December.
   3. Metz-Peeters, Maike, 2023. "The Effects of Mandatory Speed Limits on Crash Frequency - A Causal Machine Learning Approach," Ruhr Economic Papers 982, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, revised 2023.
   4. Rolf Bergs & Rüdiger Budde, 2022. "The potential of small-scale spatial data in regional science," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(2), pages 97-110, August.
   5. Muhammad Usman & Katarzyna Kopczewska, 2022. "Spatial and Machine Learning Approach to Model Childhood Stunting in Pakistan: Role of Socio-Economic and Environmental Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, September.

2. Katarzyna Kopczewska, 2011. "Roads as Channel of Centrifugal Policy Transfer. Spatial Interactions Model Revised," ERSA conference papers ersa11p720, European Regional Science Association.
   • Katarzyna Kopczewska, 2013. "Roads as Channels of Centrifugal Policy Transfer: A Spatial Interaction Model Revised," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(3), September.

   Cited by:

   1. Jan Frankowski & Joanna Mazurkiewicz & Jakub Sokołowski, 2022. "Mapping the indirect employment of hard coal mining: a case study of Upper Silesia, Poland," IBS Working Papers 07/2022, Instytut Badan Strukturalnych.
   2. Frankowski, Jan & Mazurkiewicz, Joanna & Sokołowski, Jakub, 2023. "Mapping the indirect employment of hard coal mining: A case study of Upper Silesia, Poland," Resources Policy, Elsevier, vol. 83(C).

Articles

1. 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.
   • Katarzyna Kopczewska, 2021. "Spatial Machine Learning – New Opportunities for Regional Science," Working Papers 2021-16, Faculty of Economic Sciences, University of Warsaw.
   See citations under working paper version above.
2. Katarzyna Kopczewska, 2022. "Regional development in Central and Eastern Europe and Asia," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(4), pages 697-698, August.

   Cited by:

   1. Daniel Pavlačka & Dominik Kaim & Krzysztof Ostafin & Jaroslav Burian, 2023. "Changes in spatial discontinuity in settlement patterns in the Czech‐Polish border area: A case study of Těšín Silesia," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 565-587, June.

3. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.

   Cited by:

   1. Daniel Pavlačka & Dominik Kaim & Krzysztof Ostafin & Jaroslav Burian, 2023. "Changes in spatial discontinuity in settlement patterns in the Czech‐Polish border area: A case study of Těšín Silesia," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 565-587, June.

4. Kopczewska, Katarzyna & Ćwiakowski, Piotr, 2021. "Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants," Land Use Policy, Elsevier, vol. 103(C).

   Cited by:

   1. 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.
      • Katarzyna Kopczewska, 2021. "Spatial Machine Learning – New Opportunities for Regional Science," Working Papers 2021-16, Faculty of Economic Sciences, University of Warsaw.
   2. Å aszkiewicz, Edyta & Heyman, Axel & Chen, Xianwen & Cimburova, Zofie & Nowell, Megan & Barton, David N, 2022. "Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing," Ecosystem Services, Elsevier, vol. 53(C).
   3. Yunzi Yang & Yuanyuan Ma & Hongzan Jiao, 2021. "Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example," Land, MDPI, vol. 10(9), pages 1-23, September.
   4. Mateusz Tomal & Marco Helbich, 2023. "A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw," Environment and Planning B, , vol. 50(3), pages 579-599, March.
   5. Brzezicka Justyna, 2022. "The Application of the Simplified Speculative Frame Method for Monitoring the Development of the Housing Market," Real Estate Management and Valuation, Sciendo, vol. 30(1), pages 84-98, March.
   6. Meifang Chen & Yongwan Chun & Daniel A. Griffith, 2023. "Delineating Housing Submarkets Using Space–Time House Sales Data: Spatially Constrained Data-Driven Approaches," JRFM, MDPI, vol. 16(6), pages 1-17, June.
   7. Mateusz Tomal & Marco Helbich, 2022. "The private rental housing market before and during the COVID-19 pandemic: A submarket analysis in Cracow, Poland," Environment and Planning B, , vol. 49(6), pages 1646-1662, July.

5. Kopczewska Katarzyna, 2019. "Can public intervention improve local public sector economic performance? The analysis of Special Economic Zones in Poland," Central European Economic Journal, Sciendo, vol. 6(53), pages 221-245, January.
   • Kopczewska Katarzyna, 2019. "Can public intervention improve local public sector economic performance? The analysis of Special Economic Zones in Poland," Central European Economic Journal, Sciendo, vol. 6(53), pages 221-245, January.

   Cited by:

   1. Jaroslaw M. Nazarczuk & Marlena Cicha-Nazarczuk, 2021. "What are the Key Location Factors for Firms in Special Economic Zones? Evidence from Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 147-160.

6. Katarzyna Kopczewska & Paweł Churski & Artur Ochojski & Adam Polko, 2019. "SPAG: Index of spatial agglomeration," Papers in Regional Science, Wiley Blackwell, vol. 98(6), pages 2391-2424, December.

   Cited by:

   1. Bartelme, Dominick & Ziv, Oren, 2023. "JUE Insight: Firms and industry agglomeration," Journal of Urban Economics, Elsevier, vol. 133(C).
   2. Kossowski Tomasz & Hauke Jan, 2018. "SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples," Quaestiones Geographicae, Sciendo, vol. 37(4), pages 33-42, December.
   3. Domenica Panzera & Alfredo Cartone & Paolo Postiglione, 2022. "New evidence on measuring the geographical concentration of economic activities," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 59-79, February.
   4. S. Usai & F. 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.

7. Katarzyna Kopczewska, 2016. "Efficiency of Regional Public Investment: An NPV-Based Spatial Econometric Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 413-431, October.

   Cited by:

   1. Kopczewska Katarzyna, 2019. "Can public intervention improve local public sector economic performance? The analysis of Special Economic Zones in Poland," Central European Economic Journal, Sciendo, vol. 6(53), pages 221-245, January.
      • Kopczewska Katarzyna, 2019. "Can public intervention improve local public sector economic performance? The analysis of Special Economic Zones in Poland," Central European Economic Journal, Sciendo, vol. 6(53), pages 221-245, January.
   2. Chong Ye & Yanhong Zheng & Shanlang Lin & Zhaoyang Zhao, 2022. "The Impact of High-Speed Railway Opening on Regional Economic Growth: The Case of the Wuhan–Guangzhou High-Speed Railway Line," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
   3. Katarzyna Kopczewska, 2017. "Kumulatywny vs. panelowy model przestrzenny w modelowaniu inwestycji lokalnych polskich gmin w latach 1995–2015," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 113-128.

8. Katarzyna Kopczewska, 2014. "L-moments skewness and kurtosis as measures of regional convergence and cohesion," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(4), pages 251-266, November.

   Cited by:

   1. Kopczewska Katarzyna, 2019. "Can public intervention improve local public sector economic performance? The analysis of Special Economic Zones in Poland," Central European Economic Journal, Sciendo, vol. 6(53), pages 221-245, January.
      • Kopczewska Katarzyna, 2019. "Can public intervention improve local public sector economic performance? The analysis of Special Economic Zones in Poland," Central European Economic Journal, Sciendo, vol. 6(53), pages 221-245, January.
   2. Mikos, Maria, 2019. "Zasięg dyfuzji bodźców gospodarczych– testowanie modelu rdzeń–peryferia w odniesieniu do kohezyjnej polityki regionalnej i lokalnej," Studia z Polityki Publicznej / Public Policy Studies, Warsaw School of Economics, vol. 6(2), pages 1-33, April.
   3. Milton Abdul Thorlie & Lixin Song & Muhammad Amin & Xiaoguang Wang, 2015. "Modeling and forecasting of stock index volatility with APARCH models under ordered restriction," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(3), pages 329-356, August.

9. Katarzyna Kopczewska, 2013. "The spatial range of local governments: does geographical distance affect governance and public service?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(3), pages 793-810, December.

   Cited by:

   1. Mikos, Maria, 2019. "Zasięg dyfuzji bodźców gospodarczych– testowanie modelu rdzeń–peryferia w odniesieniu do kohezyjnej polityki regionalnej i lokalnej," Studia z Polityki Publicznej / Public Policy Studies, Warsaw School of Economics, vol. 6(2), pages 1-33, April.
   2. Katarzyna Kopczewska, 2016. "Efficiency of Regional Public Investment: An NPV-Based Spatial Econometric Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 413-431, October.
   3. Czerwiński Adam Michał, 2017. "Distance to Radiotherapy and Demand – Projection of the Effects of Establishing New Radiotherapy Facilities in Poland by 2025," Central European Economic Journal, Sciendo, vol. 4(51), pages 40-52, December.
   4. Leonardo Bonilla-Mejía & Erika Londoño-Ortega, 2021. "Geographic Isolation and Learning in Rural Schools," Borradores de Economia 1169, Banco de la Republica de Colombia.

10. Katarzyna Kopczewska, 2013. "Roads as Channels of Centrifugal Policy Transfer: A Spatial Interaction Model Revised," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(3), September.
    • Katarzyna Kopczewska, 2011. "Roads as Channel of Centrifugal Policy Transfer. Spatial Interactions Model Revised," ERSA conference papers ersa11p720, European Regional Science Association.
    See citations under working paper version above.
11. Krzysztof Chrostek & Katarzyna Kopczewska, 2013. "Spatial Prediction Models for Real Estate Market Analysis," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 35.

    Cited by:

    1. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.
    2. Marco Locurcio & Pierluigi Morano & Francesco Tajani & Felicia Di Liddo, 2020. "An Innovative GIS-Based Territorial Information Tool for the Evaluation of Corporate Properties: An Application to the Italian Context," Sustainability, MDPI, vol. 12(14), pages 1-29, July.
    3. Marcelo Cajias, 2017. "Is there room for another hedonic model? –The advantages of the GAMLSS approach in real estate research," ERES eres2017_226, European Real Estate Society (ERES).

Books

1. Katarzyna Kopczewska & Paweł Churski & Artur Ochojski & Adam Polko, 2017. "Measuring Regional Specialisation," Springer Books, Springer, number 978-3-319-51505-2, November.

   Cited by:

   1. Saurabh Mishra & Bilal M. Ayyub, 2019. "Shannon Entropy for Quantifying Uncertainty and Risk in Economic Disparity," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2160-2181, October.
   2. Bielska, Anna & Stańczuk-Gałwiaczek, Małgorzata & Sobolewska-Mikulska, Katarzyna & Mroczkowski, Robert, 2021. "Implementation of the smart village concept based on selected spatial patterns – A case study of Mazowieckie Voivodeship in Poland," Land Use Policy, Elsevier, vol. 104(C).
   3. Tzen-Ying Ling, 2021. "Investigating the malleable socioeconomic resilience pathway to urban cohesion: a case of Taipei metropolitan area," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13016-13041, September.
   4. Evgeniy Kutsenko & Yaroslav Eferin, 2019. "“Whirlpools” and “Safe Harbors” in the Dynamics of Industrial Specialization in Russian Regions," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(3), pages 24-40.
   5. Carmelina Bevilacqua & Ilaria Giada Anversa & Gianmarco Cantafio & Pasquale Pizzimenti, 2019. "Local Clusters as “Building Blocks” for Smart Specialization Strategies: A Dynamic SWOT Analysis Application in the Case of San Diego (US)," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
   6. Xiaoxiang Zhang & Jing Yao & Katarzyna Sila-Nowicka & Chonghui Song, 2021. "Geographic concentration of industries in Jiangsu, China: a spatial point pattern analysis using micro-geographic data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 439-461, April.
   7. Marek Furmankiewicz & Adrian Campbell, 2019. "From Single-Use Community Facilities Support to Integrated Sustainable Development: The Aims of Inter-Municipal Cooperation in Poland, 1990–2018," Sustainability, MDPI, vol. 11(21), pages 1-21, October.
   8. Mauro Ferrante & Giovanni Luca Lo Magno & Stefano De Cantis & Geoffrey J.D. Hewings, 2020. "Measuring spatial concentration: A transportation problem approach," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 663-682, June.
   9. Kociuba Dagmara, 2018. "Implementation of Integrated Territorial Investments in Poland – Rationale, Results, and Recommendations," Quaestiones Geographicae, Sciendo, vol. 37(4), pages 81-98, December.
   10. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
   11. Tatiana Kudryavtseva & Angi Skhvediani & Mohammed Ali Berawi, 2020. "Modeling cluster development using programming methods: case of Russian Arctic regions," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 150-176, September.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-URE: Urban and Real Estate Economics (2) 2011-12-05 2022-12-19
2. NEP-BIG: Big Data (1) 2022-12-19
3. NEP-CMP: Computational Economics (1) 2022-12-19
4. NEP-ECM: Econometrics (1) 2022-12-19
5. NEP-GEO: Economic Geography (1) 2011-12-05

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