Ackermann, R. (2001). Pfadabhängigkeit, Institutionen und Regelkonform. Mohr Siebeck, Tübingen (in German).Search in Google Scholar
Adamowicz, M. (2020). Conditions of Local Development in the Context of Shaping Developmental Strategy and Policy in Poland. Economic and Regional Studies, 13(2), 145-169. https://doi.org/10.2478/ers-2020-0011Search in Google Scholar
Barto, A., Dietterich, T. G. (2004). Reinforcement Learning and its Relationship to Supervised Learning. Handbook of Learning and Approximate Dynamic Programming, 47-64.Search in Google Scholar
Benedek, J. (2021). Regionális egyenlőtlenség és gazdasági felzárkózás. Magyarországi és romániai régiók összehasonlító vizsgálata. (Regional inequality and economic catching-up. Comparative analysis of regions in Hungary and Romania) Észak-magyarországi Stratégiai Füzetek, 18(1), 4-14 (in Hungarian). https://doi.org/10.32976/stratfuz.2021.15Search in Google Scholar
Berndt, E. R. (1991). The Practice of Econometrics: Classic and Contemporary. Addison Wesley, Reading.Search in Google Scholar
BFS (2022). Indikatoren der Lebensqualität. Bundesamt für Statistik (in German).bfs.adminch/bfs/deSearch in Google Scholar
Biau, O., D’elia, A. (2010). Euro Area GDP Forecasting Using Large Survey Datasets: A Randon Forest Approach. Euro indicators Working Papers.Search in Google Scholar
BMZ (2012). Territoriale Entwicklung im ländlichen Raum. Bundesministerium für wirtschaftliche Zusammenarbeit. Berlin (in German).Search in Google Scholar
Burla, L., Widmer, M., Zeitner, C. (2022). Zukünftiger Bestand und Bedarf an Fachärztinnen und -ärzten in der Schweiz. OBSAN Bericht, Neuchätel (in German).Search in Google Scholar
Cripps, F. (2014). Macro-model scenarios and implications for European policy. in Eatwell, John, Terry McKinley, and Pascal Petit, eds. Challenges for Europe in the World of 2030. Farnham, Surrey: Ashgate Publishing.Search in Google Scholar
Dijkstra, L., Annoni, P., Kozovska, K. (2011). A New Regional Competitiveness Index: Theory, Methods and Findings. European Union Regional Policy Working Papers No. 2.Search in Google Scholar
EC (2020). Handbook of Territorial and Local Development Strategies. European Commission, Brussels.Search in Google Scholar
Eckey, H. F., Schwengler, B., Türck, M. (2007). Vergleich von deutschen Arbeitsmarktregionen. IAB-Discussion Paper, No. 3/2007 (German).Search in Google Scholar
EU (2012). Europäische Erhebung zur Lebensqualität (EQLS). European Foundation for the Improvement of Living and Working Conditions (in German). https://www.eurofound.europa.eu/de/surveys/european-quality-of-life-surveysSearch in Google Scholar
EU (2015a). Agenda 2000. Eine stärkere und erweiterte Union (in German). https://eur-lex.europa.eu/DE/legal-content/summary/agenda-2000-for-a-stronger-and-wider-union.htmlSearch in Google Scholar
EU (2015b). Politische Strategien für ein besseres Leben. (in German). https://www.europarl.europa.eu/summits/lis1_de.htmSearch in Google Scholar
EU (2018). Die 28 Mitgliedstaaten der EU. Brüssel (in German). https://european-union.europa.eu/principles-countries-history/country-profiles_deSearch in Google Scholar
Fehr, H. (2011). Berechnungen des langfristigen Produktionspotenzials unter Berücksichtigung verschiedener altersbedingter und bildungsspezifischer Produktivitätsprofile. Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, Wiesbaden, Arbeitspapier Nr. 02 (in German).Search in Google Scholar
Fenz, G., Spitzer, M. (2005). AQM: The Austrian Quarterly Model of the Oesterreichische Nationalbank. Working Papers 104. Österreichische Nationalbank, Wien. (in German).Search in Google Scholar
Gillmann, N., Lehmann, R., Nauerth, J. A., Ponattu, D., Ragnitz, J., Sonnenburg, J., Weber, M. (2019). Wachstum und Produktivität 2035. ifo Institut, Dresden Studien, Nr. 84. (in German).Search in Google Scholar
Headey, B., Muffels, R., Wooden, M. (2008). Wealth and happiness revisited – growing national income does go with greater happiness. Social Indicators Research, 64, pp. 1-27.Search in Google Scholar
Heilemann, U. (2009). Déja Vu: Prognose in der Kriese. Wirtschaftsdienst, Nr. 2, pp. 90-95. (in German).Search in Google Scholar
Heilemann, U. (2019). Rezessionen in der Bundesrepublik Deutschland von 1966 bis 2013. Wirtschaftsdienst, Nr. 8, pp. 546-551. https://doi.org/10.1007/s10273-019-2489-6. (in German).Search in Google Scholar
Hesse, M., Meyerhoff, J., Petschow, U. (1998). Verkehrsinfrastrukturen und wirtschaftliche Entwicklung. Institut für ökologische Wirtschaftsforschungs, Berlin. (in German).Search in Google Scholar
IAB (2010). Regionale Arbeitsmarktprognosen der Arbeitslosen und sozialversicherungspflichtig Beschäftigten. Nr. 2, Nürnberg. (in German).Search in Google Scholar
ITM (2020). Nemzeti energia- és klímaterv. Innovációs és Technológiai Minisztérium, Budapest. (in Hungarian).Search in Google Scholar
Jung, J. K., Patnam, M., Ter-Martirosyan, A. (2018). An Algorithmic Crystal Ball: Forecasts-based on Machine Learning. IMF Working Paper No. 2018/230, pp. 1-33. https://doi.org/10.5089/9781484380635.001Search in Google Scholar
Kirchgässner, G., Savioz, M. (2001). Monetary Policy and Forecasts for Real GDP Growth. German Economic Review. 2 (4), pp. 339-365. https://doi.org/10.1111/1468-0475.00044Search in Google Scholar
Kocziszky, Gy., Benedek, J. (2012). Contributions to the issues of regional economic growth and equilibrium as well as the regional policy. Hungarian Geographical Bulletin 61 (2), 113-130.Search in Google Scholar
Kocziszky, Gy., Szendi, D. (2021). Comparative Analysis of the Economic Development Paths of Hungarian Counties. PUBLIC FINANCE QUARTERLY 66 : Special edition, 2021/2, pp. 7-30. https://doi.org/10.35551/PFQ_2021_s_2_1Search in Google Scholar
Kocziszky, Gy., Szendi, D. (2023). Köztes európai (V4+2) országok fejlődési pályáinak összehasonlító vizsgálata kompozit index segítségével. Regional Statistics (under publishing). (in Hungarian).Search in Google Scholar
Koll, W. (2009). Welche Rolle spielen Prognosen? Wirtschaftsdienst, Nr. 2. pp. 79-86. https://doi.org/10.1007/s10273-009-0894-ySearch in Google Scholar
Kozak, S., Grzeda, L. (2019). Quantitative Changes of Endogenous Factors Affecting the Economic Development of the Mazowieckie Voivodeship in 2004-2017. Economic and Regional Studies, Volume 12, No. 3, pp. 326-335. https://doi.org/10.2478/ers-2019-0029Search in Google Scholar
Kumar, S. M., Woo, J. (2010). Public Dept and Growth. IMF Working Paper. WP/10/174. https://doi.org/10.5089/9781455201853.001Search in Google Scholar
MARTIN, R. (2010). Roepke Lecture in Economic Geography - Rethinking Regional Path Dependence: Beyond Lock-in to Evolution. Economic Geography, 86: 1-27. https://doi.org/10.1111/j.1944-8287.2009.01056.xSearch in Google Scholar
Meinel, G., Reichert, S. (2004). Flächenwirkung des deutschen Autobahnnetzes – Konzept und erste Ergebnisse einer GIS-gestützten Analyse. Deutschen Gesellschaft für Photogrammetrie, Band 13. pp. 227-234.Search in Google Scholar
Mourougane, A. (2006). Forecasting Monthly GDP for Canada. OECD Economics Department Working Papers, No. 515.Search in Google Scholar
OECD (2014). How’s Life in Your Region? Measuring Regional and Local Well-being for Policy Making. OECD Publishing, Paris.Search in Google Scholar
OECD (2022). Economic Outlook. (www.oecd.org/economic-outlook/november-2022)Search in Google Scholar
Peterson, J. S. (2014). Review of Research at Virginia Tech on the Relationship between School Building Condition and Student and Teacher Performance and Attitudes. PhD dissertation. Virginia Polytechnic Institute and State University. https://vtechworks.lib.vt.edu/bitstream/handle/10919/56836/Peterson_JS_D_2014.pdf?isAllowed=y&sequence=1Search in Google Scholar
Potrafke, N., Gründler, K., Mosler, M., Dörr, L. (2019). Der Zusammenhang zwischen Verschuldung, Budgetzusammensetzung und volkswirtschaftlichem Wachstum. ifo Forschungs-Berichte, 107/2019. München.Search in Google Scholar
Sedillot, F., Pain, N. (2003). Indicator Models of Real GDP Growth in Selected OECD Countries. OECD Economics Department Working Papers, No. 364.Search in Google Scholar
Seto, K. C., Davis, S. J., Mitchell, R. B., Stokes, E. C., Unruh, G., Ürge-Vorsatz, D. (2016). Carbon Lock-In: Types, Causes, and Policy Implications. Annual Review of Environment and Resources, 41 (1), pp. 425-452. https://doi.org/10.1146/annurev-environ-110615-085934Search in Google Scholar
Starfield, B., Birn, A. E. (2007). Income redistribution is not enough: income inequality, social welfare programs, and achieving equity in health. J Epidemiol Community Health, 61 (12), pp. 1038-1041. https://doi.org/10.1136/jech.2006.054627Search in Google Scholar
Szendi, D., Kocziszky, Gy. (2022). Changes in the social and technological innovation potential of the Visegrad (V4) regions (2001–2019). Észak-magyarországi Stratégiai Füzetek XIX. 4. pp. 34-47. https://doi.org/10.32976/stratfuz.2022.42Search in Google Scholar
Tiberius, V., Gojowy, R., Dabic, M. (2022). Forecasting the future of robo advisory: A three-stage Delphi study on economic, technological, and societal implications. Technological Forecasting and Social Change. 182. https://doi.org/10.1016/j.techfore.2022.121824Search in Google Scholar
Zimmermann, K. F. (2009). Prognosekriese: Warum weniger manchmal mehr ist. Wirtschaftsdienst, Nr. 2, pp. 86-90. (in German).Search in Google Scholar
