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Konstantin Kholodilin

Citations

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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?: A Real-Time Evidence for the US," Discussion Papers of DIW Berlin 997, DIW Berlin, German Institute for Economic Research.

    Mentioned in:

    1. Nowcasting consumption with Google
      by Adam Ozimek in Modeled Behavior on 2010-06-07 16:26:11
  2. Konstantin A. Kholodilin & Sebastian Kohl, 2020. "Does Social Policy through Rent Controls Inhibit New Construction? Some Answers from Long-Run Historical Evidence," Discussion Papers of DIW Berlin 1839, DIW Berlin, German Institute for Economic Research.

    Mentioned in:

    1. The High Costs of Biden's Price-Controlled Drugs
      by Ronald Bailey in Hit & Run blog on 2023-08-31 21:09:02

Working papers

  1. Konstantin A. Kholodilin, 2022. "Rent Control Effects through the Lens of Empirical Research," DIW Roundup: Politik im Fokus 139, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Konstantin A. Kholodilin & Fernando A. López & David Rey Blanco & Pelayo González Arbués, 2022. "Lessons from an Aborted Second-Generation Rent Control in Catalonia," Discussion Papers of DIW Berlin 2008, DIW Berlin, German Institute for Economic Research.
    2. Anja M. Hahn & Konstantin A. Kholodilin & Sofie R. Waltl, 2021. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Discussion Papers of DIW Berlin 1928, DIW Berlin, German Institute for Economic Research.
    3. Eugeniya Malinskaya & Konstantin A. Kholodilin, 2022. "Stimulating Housing Policy and Housing Tenure Choice: Evidence from the G7 Countries," Discussion Papers of DIW Berlin 1997, DIW Berlin, German Institute for Economic Research.
    4. Anja Hahn & Konstantin Kholodilin & Sofie Waltl & Marco Fongoni, 2023. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Post-Print hal-04133694, HAL.

  2. Konstantin A. Kholodilin & Fernando A. López & David Rey Blanco & Pelayo González Arbués, 2022. "Lessons from an Aborted Second-Generation Rent Control in Catalonia," Discussion Papers of DIW Berlin 2008, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Konstantin A. Kholodilin, 2022. "Rent Control Effects through the Lens of Empirical Research: An almost Complete Review of the Literature," Discussion Papers of DIW Berlin 2026, DIW Berlin, German Institute for Economic Research.

  3. Kholodilin, Konstantin A. & Kohl, Sebastian & Müller, Florian, 2022. "The rise and fall of social housing? Housing decommodification in long-run perspective," MPIfG Discussion Paper 22/3, Max Planck Institute for the Study of Societies.

    Cited by:

    1. Kohler, Karsten & Tippet, Ben & Stockhammer, Engelbert, 2022. "House price cycles, housing systems, and growth models," IPE Working Papers 194/2022, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    2. Disch, Wendy & Slaymaker, Rachel, 2023. "Housing affordability: Ireland in a cross-country context," Research Series, Economic and Social Research Institute (ESRI), number RS164, June.
    3. Eugeniya Malinskaya & Konstantin A. Kholodilin, 2022. "Stimulating Housing Policy and Housing Tenure Choice: Evidence from the G7 Countries," Discussion Papers of DIW Berlin 1997, DIW Berlin, German Institute for Economic Research.

  4. Konstantin A. Kholodilin & Sebastian Kohl, 2021. "Rent Price Control – Yet Another Great Equalizer of Economic Inequalities?: Evidence from a Century of Historical Data," Discussion Papers of DIW Berlin 1927, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Konstantin A. Kholodilin, 2022. "Rent Control Effects through the Lens of Empirical Research: An almost Complete Review of the Literature," Discussion Papers of DIW Berlin 2026, DIW Berlin, German Institute for Economic Research.

  5. Konstantin A. Kholodilin & Sebastian Kohl & Artem Korzhenevych & Linus Pfeiffer, 2021. "The Hidden Homeownership Welfare State: An International Long-Term Perspective on the Tax Treatment of Homeowners," Discussion Papers of DIW Berlin 1972, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Francisco Amaral & Martin Dohmen & Sebastian Kohl & Moritz Schularick, 2021. "Superstar Returns," Working Papers hal-03881493, HAL.
    2. Kholodilin, Konstantin A. & Kohl, Sebastian & Müller, Florian, 2022. "The rise and fall of social housing? Housing decommodification in long-run perspective," MPIfG Discussion Paper 22/3, Max Planck Institute for the Study of Societies.
    3. Konstantin A. Kholodilin, 2022. "Rent Control Effects through the Lens of Empirical Research," DIW Roundup: Politik im Fokus 139, DIW Berlin, German Institute for Economic Research.
    4. Eugeniya Malinskaya & Konstantin A. Kholodilin, 2022. "Stimulating Housing Policy and Housing Tenure Choice: Evidence from the G7 Countries," Discussion Papers of DIW Berlin 1997, DIW Berlin, German Institute for Economic Research.

  6. Konstantin A. Kholodilin & Linus Pfeiffer, 2021. "Measuring Unmeasurable: How to Map Laws to Numbers Using Leximetrics," Discussion Papers of DIW Berlin 1933, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Eugeniya Malinskaya & Konstantin A. Kholodilin, 2022. "Stimulating Housing Policy and Housing Tenure Choice: Evidence from the G7 Countries," Discussion Papers of DIW Berlin 1997, DIW Berlin, German Institute for Economic Research.

  7. Konstantin A. Kholodilin & Malte Rieth, 2020. "Viral Shocks to the World Economy," Discussion Papers of DIW Berlin 1861, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Yothin Jinjarak & Ilan Noy & Quy Ta, 2022. "Pandemics and Economic Growth: Evidence from the 1968 H3N2 Influenza," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 73-93, March.

  8. Konstantin A. Kholodilin, 2020. "Housing Policies Worldwide during Coronavirus Crisis: Challenges and Solutions," DIW focus 2, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Xinba Li & Chihwa Kao, 2022. "Spatial Analysis and Modeling of the Housing Value Changes in the U.S. during the COVID-19 Pandemic," JRFM, MDPI, vol. 15(3), pages 1-25, March.
    2. Aleksander Aristovnik & Damijana Keržič & Dejan Ravšelj & Nina Tomaževič & Lan Umek, 2020. "Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective," Sustainability, MDPI, vol. 12(20), pages 1-34, October.
    3. Safiye Özge Subaşı & Tüzin Baycan, 2022. "Impacts of the COVID-19 pandemic on private rental housing prices in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1177-1193, October.
    4. Konstantin A. Kholodilin & Leonid Limonov & Sofie R. Waltl, 2019. "Housing Rent Dynamics and Rent Regulation in St. Petersburg (1880-1917)," Discussion Papers of DIW Berlin 1780, DIW Berlin, German Institute for Economic Research.

  9. Fernando A. López & Konstantin A. Kholodilin, 2020. "The MARS Algorithm in the Spatial Framework: Non-Linearities and Spatial Effects in Hedonic Models," Discussion Papers of DIW Berlin 1842, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Ricardo Teruel-Gutierrez & Mariluz Maté-Sánchez-Val, 2021. "The impact of Instagram on Airbnb’s listing prices in the city of Barcelona," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 737-763, December.

  10. Konstantin A. Kholodilin & Sebastian Kohl, 2020. "Does Social Policy through Rent Controls Inhibit New Construction? Some Answers from Long-Run Historical Evidence," Discussion Papers of DIW Berlin 1839, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Jordi Brandts & Isabel Busom Piquer & Cristina López-Mayan & Judit Panadés Martí, 2022. "Pictures are worth many words: Effectiveness of visual communication in dispelling the rent–control misconception," Working Papers wpdea2202, Department of Applied Economics at Universitat Autonoma of Barcelona.
    2. Jordi Brandts & Isabel Busom & Cristina Lopez-Mayan & Judith Panadés, 2023. "Images Say More than Just Words: Effectiveness of Visual and Text Communication in Dispelling the Rent-Control Misconception," CESifo Working Paper Series 10537, CESifo.
    3. Jordi Brandts & Isabel Busom & Cristina Lopez-Mayan, 2024. "Do Voice and Social Information Contribute to Changing Views about Rent Control Policy?," Working Papers 1428, Barcelona School of Economics.
    4. Konstantin A. Kholodilin, 2022. "Rent Control Effects through the Lens of Empirical Research: An almost Complete Review of the Literature," Discussion Papers of DIW Berlin 2026, DIW Berlin, German Institute for Economic Research.

  11. Hahn, Anja M. & Kholodilin, Konstantin A. & Waltl, Sofie R., 2020. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Department of Economics Working Paper Series 308, WU Vienna University of Economics and Business.

    Cited by:

    1. Jordi Brandts & Isabel Busom Piquer & Cristina López-Mayan & Judit Panadés Martí, 2022. "Pictures are worth many words: Effectiveness of visual communication in dispelling the rent–control misconception," Working Papers wpdea2202, Department of Applied Economics at Universitat Autonoma of Barcelona.
    2. Dolls, Mathias & Schüle, Paul & Windsteiger, Lisa, 2022. "Affecting Public Support for Economic Policies: Evidence from a Survey Experiment about Rent Control in Germany," VfS Annual Conference 2022 (Basel): Big Data in Economics 264060, Verein für Socialpolitik / German Economic Association.
    3. Jordi Brandts & Isabel Busom & Cristina Lopez-Mayan & Judith Panadés, 2023. "Images Say More than Just Words: Effectiveness of Visual and Text Communication in Dispelling the Rent-Control Misconception," CESifo Working Paper Series 10537, CESifo.
    4. Trojanek, Radoslaw & Gluszak, Michal, 2022. "Short-run impact of the Ukrainian refugee crisis on the housing market in Poland," Finance Research Letters, Elsevier, vol. 50(C).
    5. Konstantin A. Kholodilin & Leonid Limonov & Sofie R. Waltl, 2019. "Housing Rent Dynamics and Rent Regulation in St. Petersburg (1880-1917)," Discussion Papers of DIW Berlin 1780, DIW Berlin, German Institute for Economic Research.
    6. Rainald Borck & Niklas Gohl, 2021. "Gentrification and Affordable Housing Policies," CEPA Discussion Papers 39, Center for Economic Policy Analysis.
    7. Konstantin A. Kholodilin & Fernando A. López & David Rey Blanco & Pelayo González Arbués, 2022. "Lessons from an Aborted Second-Generation Rent Control in Catalonia," Discussion Papers of DIW Berlin 2008, DIW Berlin, German Institute for Economic Research.

  12. Andreas Mense & Claus Michelsen & Konstantin A. Kholodilin, 2019. "Rent Control, Market Segmentation, and Misallocation: Causal Evidence from a Large-Scale Policy Intervention," Discussion Papers of DIW Berlin 1832, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Stefano Colonnello & Roberto Marfè & Qizhou Xiong, 2021. "Housing Yields," Working Papers 2021:21, Department of Economics, University of Venice "Ca' Foscari", revised 2021.
    2. Joan Monràs & José Garcia Montalvo, 2021. "The effect of second generation rent controls: New evidence from Catalonia," Economics Working Papers 1836, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2022.
    3. Breidenbach, Philipp & Eilers, Lea & Fries, Jan, 2022. "Temporal dynamics of rent regulations – The case of the German rent control," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    4. Gabriel M. Ahlfeldt & Stephan Heblich & Tobias Seidel, 2021. "Micro-geographic property price and rent indices," CEP Discussion Papers dp1782, Centre for Economic Performance, LSE.
    5. Mense, Andreas, 2020. "The Impact of New Housing Supply on the Distribution of Rents," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224569, Verein für Socialpolitik / German Economic Association.
    6. Anja M. Hahn & Konstantin A. Kholodilin & Sofie R. Waltl, 2021. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Discussion Papers of DIW Berlin 1928, DIW Berlin, German Institute for Economic Research.
    7. Anja Hahn & Konstantin Kholodilin & Sofie Waltl & Marco Fongoni, 2023. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Post-Print hal-04133694, HAL.

  13. Konstantin A. Kholodilin & Leonid E. Limonov & Sofie R. Waltl, 2019. "Housing Rent Dynamics and Rent Regulation in St. Petersburg (1880-1917)," HSE Working papers WP BRP 213/EC/2019, National Research University Higher School of Economics.

    Cited by:

    1. Trojanek, Radoslaw & Gluszak, Michal, 2022. "Short-run impact of the Ukrainian refugee crisis on the housing market in Poland," Finance Research Letters, Elsevier, vol. 50(C).
    2. Richard Keely & Ronan C Lyons, 2019. "Debt and Taxes: The Sale-Rent Housing Price Ratio in Dublin since 1945," Trinity Economics Papers tep0419, Trinity College Dublin, Department of Economics.
    3. Anja M. Hahn & Konstantin A. Kholodilin & Sofie R. Waltl, 2021. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Discussion Papers of DIW Berlin 1928, DIW Berlin, German Institute for Economic Research.
    4. Konstantin A. Kholodilin, 2022. "Rent Control Effects through the Lens of Empirical Research," DIW Roundup: Politik im Fokus 139, DIW Berlin, German Institute for Economic Research.
    5. Richard Keely & Ronan C. Lyons, 2022. "Housing Prices, Yields and Credit Conditions in Dublin since 1945," The Journal of Real Estate Finance and Economics, Springer, vol. 64(3), pages 404-439, April.
    6. Anja Hahn & Konstantin Kholodilin & Sofie Waltl & Marco Fongoni, 2023. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Post-Print hal-04133694, HAL.

  14. Konstantin A. Kholodilin, 2018. "Measuring Stick-Style Housing Policies: a Multi-Country Longitudinal Database of Governmental Regulations," Discussion Papers of DIW Berlin 1727, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Guillaume Claveres & Thomas Y. Mathä & Giuseppe Pulina & Jan Stráský & Nicolas Woloszko & Michael Ziegelmeyer, 2020. "Housing and inequality: The case of Luxembourg and its cross-border workers," OECD Economics Department Working Papers 1608, OECD Publishing.
    2. Ligia Topan & Miguel Jerez & Sonia Sotoca, 2020. "The impact of oil prices on products groups inflation: is the effect asymmetric?," Documentos de Trabajo del ICAE 2020-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Konstantin Kholodilin & Sebastian Kohl, 2019. "Verdrängung oder Sozialpolitik? Einfluss von Regulierungen auf die Wohneigentumsquote [Social Policy or Crowding-out? The Effect of Private-tenancy Regulation on Homeownership]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 99(5), pages 363-366, May.
    4. Friedrich Breyer & Nicole Hoffmeister-Kraut & Matthias Wrede & Harald Simons & Lars Vandrei & Theresia Theurl & Ralph Henger & Konstantin Kholodilin & Sebastian Kohl, 2018. "Failure of social housing policy: How to create affordable housing?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(21), pages 03-30, November.
    5. Maria Chiara Cavalleri & Boris Cournède & Volker Ziemann, 2019. "Housing markets and macroeconomic risks," OECD Economics Department Working Papers 1555, OECD Publishing.
    6. Weber, Jan Philip & Lee, Gabriel, . "On the Measure of Private Rental Market Regulation Index and its Effect on Housing Rents: Cross Country Evidence," Beiträge zur Immobilienwirtschaft, University of Regensburg, Department of Economics, number 21.
    7. Orsetta Causa & Nicolas Woloszko & David Leite, 2020. "Housing, Wealth Accumulation and Wealth Distribution: Evidence and Stylized Facts," LWS Working papers 30, LIS Cross-National Data Center in Luxembourg.
    8. Konstantin A. Kholodilin & Sebastian Kohl, 2020. "Does Social Policy through Rent Controls Inhibit New Construction? Some Answers from Long-Run Historical Evidence," Discussion Papers of DIW Berlin 1839, DIW Berlin, German Institute for Economic Research.
    9. P. Reusens & Ch. Warisse, 2018. "House prices and economic growth in Belgium," Economic Review, National Bank of Belgium, issue iv, pages 81-106, december.

  15. Mense, Andreas & Michelsen, Claus & Kholodilin, Konstantin, 2018. "Empirics on the causal effects of rent control in Germany," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181625, Verein für Socialpolitik / German Economic Association.

    Cited by:

    1. Lars Vandrei, 2018. "Does Regulation Discourage Investors? Sales Price Effects of Rent Controls in Germany," ifo Working Paper Series 262, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Breidenbach, Philipp & Eilers, Lea & Fries, Jan Ludwig, 2019. "Rent control and rental prices: High expectations, high effectiveness?," Working Papers 07/2018, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    3. Duso, Tomaso & Michelsen, Claus & Schaefer, Maximilian & Tran, Kevin, 2021. "Airbnb and Rental Markets: Evidence from Berlin," CEPR Discussion Papers 16150, C.E.P.R. Discussion Papers.
    4. Jean-Charles Bricongne & Baptiste Meunier & Sylvain Pouget, 2023. "Web-scraping housing prices in real-time: The Covid-19 crisis in the UK," SciencePo Working papers Main hal-04064185, HAL.
    5. Alexander Daminger, 2021. "Subsidies to Homeownership and Central City Rent," Working Papers 210, Bavarian Graduate Program in Economics (BGPE).
    6. Breidenbach, Philipp & Eilers, Lea & Fries, Jan, 2022. "Temporal dynamics of rent regulations – The case of the German rent control," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    7. Lars Vandrei, 2018. "Lars Vandrei," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 25(06), pages 12-15, December.
    8. O'Toole, Conor & Martinez-Cillero, Maria & Ahrens, Achim, 2019. "Price regulation, inflation, and nominal rigidity in housing rents," Papers WP648, Economic and Social Research Institute (ESRI).
    9. Hinrichsen, Julius & Nitt-Drießelmann, Dörte & Wellenreuther, Claudia & Wolf, André, 2021. "Der Eigentumsbegriff in den Parteiprogrammen zur Bundestagswahl 2021: Eine ökonomische Analyse," HWWI Policy Papers 133, Hamburg Institute of International Economics (HWWI).
    10. Konstantin A. Kholodilin & Fernando A. López & David Rey Blanco & Pelayo González Arbués, 2022. "Lessons from an Aborted Second-Generation Rent Control in Catalonia," Discussion Papers of DIW Berlin 2008, DIW Berlin, German Institute for Economic Research.
    11. Friedrich Breyer & Nicole Hoffmeister-Kraut & Matthias Wrede & Harald Simons & Lars Vandrei & Theresia Theurl & Ralph Henger & Konstantin Kholodilin & Sebastian Kohl, 2018. "Failure of social housing policy: How to create affordable housing?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(21), pages 03-30, November.
    12. Anja M. Hahn & Konstantin A. Kholodilin & Sofie R. Waltl, 2021. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Discussion Papers of DIW Berlin 1928, DIW Berlin, German Institute for Economic Research.
    13. Tomaso Duso & Claus Michelsen & Maximilian Schäfer & Kevin Ducbao Tran, 2020. "Airbnb and Rents: Evidence from Berlin," Discussion Papers of DIW Berlin 1890, DIW Berlin, German Institute for Economic Research.
    14. Koetter, Michael & Marek, Philipp & Mavropoulos, Antonios, 2021. "Real estate transaction taxes and credit supply," Discussion Papers 04/2021, Deutsche Bundesbank.
    15. Raya, Josep Maria & Torres-Pruñonosa, Jose, 2022. "The importance of administrative data in the evaluation of the incidence of social housing allowance programmes," Evaluation and Program Planning, Elsevier, vol. 94(C).
    16. Konstantin A. Kholodilin & Sebastian Kohl, 2020. "Does Social Policy through Rent Controls Inhibit New Construction? Some Answers from Long-Run Historical Evidence," Discussion Papers of DIW Berlin 1839, DIW Berlin, German Institute for Economic Research.

  16. Konstantin A. Kholodilin & Sebastian Kohl & Yulia Prozorova & Julien Licheron, 2018. "Social policy or crowding-out? Tenant protection in comparative long-run perspective," HSE Working papers WP BRP 202/EC/2018, National Research University Higher School of Economics.

    Cited by:

    1. Konstantin A. Kholodilin & Sebastian Kohl & Tobias Niemeyer, 2019. "Steuerliche Instrumente der Wohneigentumsförderung," DIW Roundup: Politik im Fokus 132, DIW Berlin, German Institute for Economic Research.
    2. Konstantin A. Kholodilin & Sebastian Kohl, 2021. "Rent Price Control – Yet Another Great Equalizer of Economic Inequalities?: Evidence from a Century of Historical Data," Discussion Papers of DIW Berlin 1927, DIW Berlin, German Institute for Economic Research.
    3. Francisco Amaral & Martin Dohmen & Sebastian Kohl & Moritz Schularick, 2021. "Superstar Returns," Working Papers hal-03881493, HAL.
    4. Friedrich Breyer & Nicole Hoffmeister-Kraut & Matthias Wrede & Harald Simons & Lars Vandrei & Theresia Theurl & Ralph Henger & Konstantin Kholodilin & Sebastian Kohl, 2018. "Failure of social housing policy: How to create affordable housing?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(21), pages 03-30, November.

  17. Benjamin Beckers & Konstantin A. Kholodilin & Dirk Ulbricht, 2017. "Reading between the Lines: Using Media to Improve German Inflation Forecasts," Discussion Papers of DIW Berlin 1665, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Foltas, Alexander, 2020. "Testing investment forecast efficiency with textual data," Working Papers 19, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. De Bandt Olivier & Bricongne Jean-Charles & Denes Julien & Dhenin Alexandre & De Gaye Annabelle & Robert Pierre-Antoine, 2023. "Using the Press to Construct a New Indicator of Inflation Perceptions in France," Working papers 921, Banque de France.
    3. Ulrich Fritsche & Johannes Puckelwald, 2018. "Deciphering Professional Forecasters’ Stories - Analyzing a Corpus of Textual Predictions for the German Economy," Macroeconomics and Finance Series 201804, University of Hamburg, Department of Socioeconomics.

  18. Konstantin A. Kholodilin & Aleksei Netsunajev, 2016. "Crimea and Punishment: The Impact of Sanctions on Russian and European Economies," Discussion Papers of DIW Berlin 1569, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Jan Wedemeier & Lukas Wolf, 2022. "Navigating Rough Waters: Global Shipping and Challenges for the North Range Ports," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 57(3), pages 192-198, May.
    2. Shida, Yoshisada, 2019. "Russian Business under Economic Sanctions: Is There Regional Heterogeneity?," MPRA Paper 93817, University Library of Munich, Germany.
    3. Pestova, Anna & Mamonov, Mikhail, 2019. "Should we care? The economic effects of financial sanctions on the Russian economy," BOFIT Discussion Papers 13/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Bayramov, Vugar & Rustamli, Nabi & Abbas, Gulnara, 2020. "Collateral damage: The Western sanctions on Russia and the evaluation of implications for Russia’s post-communist neighbourhood," International Economics, Elsevier, vol. 162(C), pages 92-109.
    5. Morad Bali, 2020. "Methodological Limitations of the Literature in the Study of Economic Sanctions, the Ukrainian Crisis Case," Post-Print hal-02472943, HAL.
    6. Morad Bali, 2018. "The Impact of Economic Sanctions on Russia and its Six Greatest European Trade Partners," Post-Print halshs-01918521, HAL.
    7. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    8. Prilepskiy, I., 2019. "Financial Sanctions: Impact on Capital flows and GDP Growth in Russia," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 163-172.
    9. Nady Rapelanoro & BALI Morad, 2020. "International Economic Sanctions: Multipurpose Index Modelling in the Ukrainian Crisis Case," EconomiX Working Papers 2020-8, University of Paris Nanterre, EconomiX.
    10. Massimiliano Di Pace, 2017. "Eu and Usa sanctions and their impact on Russia: a logical-qualitative assessment," Argomenti, University of Urbino Carlo Bo, Department of Economics, Society & Politics, vol. 7(7), pages 1-16, May-Augus.
    11. Mirzosaid Sultonov, 2022. "Regional Economic and Financial Interconnectedness and the Impact of Sanctions: The Case of the Commonwealth of Independent States," JRFM, MDPI, vol. 15(12), pages 1-18, November.

  19. Konstantin A. Kholodilin & Andreas Mense & Claus Michelsen, 2016. "Market Break or Simply Fake? Empirics on the Causal Effects of Rent Controls in Germany," Discussion Papers of DIW Berlin 1584, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Lars Vandrei, 2018. "Does Regulation Discourage Investors? Sales Price Effects of Rent Controls in Germany," ifo Working Paper Series 262, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19 [Setting the Right Course for Economic Policy. Annual Report 2018/19]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819.
    3. Wellmann, Nicolas & Czarnowske, Daniel, 2021. "What would households pay for a reduction of automobile traffic? Evidence from nine German cities," DICE Discussion Papers 361, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. Stefano Colonnello & Roberto Marfè & Qizhou Xiong, 2021. "Housing Yields," Working Papers 2021:21, Department of Economics, University of Venice "Ca' Foscari", revised 2021.
    5. Mandy HM Lau, 2019. "Lobbying for rent regulation in Hong Kong: Rental market politics and framing strategies," Urban Studies, Urban Studies Journal Limited, vol. 56(12), pages 2515-2531, September.
    6. Thomschke, Lorenz, 2016. "Distributional price effects of rent controls in Berlin: When expectation meets reality," CAWM Discussion Papers 89, University of Münster, Münster Center for Economic Policy (MEP).
    7. Rainald Borck & Niklas Gohl, 2021. "Gentrification and Affordable Housing Policies," CEPA Discussion Papers 39, Center for Economic Policy Analysis.
    8. Gohl, Niklas, 2019. "House prices and spatial mobility: Lock-in effects on the German rental market," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203557, Verein für Socialpolitik / German Economic Association.
    9. Maria Chiara Cavalleri & Boris Cournède & Volker Ziemann, 2019. "Housing markets and macroeconomic risks," OECD Economics Department Working Papers 1555, OECD Publishing.
    10. Sebastian Steffen, 2016. "Reform von Mietspiegel und ortsüblicher Vergleichsmiete," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 65(3), pages 240-252, December.
    11. Baumann, Kilian, 2022. "Der Einfluss von Anbieterstrukturen auf Mietwohnungspreise: Theoretische Überlegungen und empirischer Ansatz," Arbeitspapiere 193, University of Münster, Institute for Cooperatives.
    12. Schwarzbauer, Wolfgang & Thomas, Tobias & Koch, Philipp, 2019. "Bezahlbaren Wohnraum erreichen: Ökonomische Überlegungen zur Wirksamkeit wohnungspolitischer Maßnahmen," Policy Notes 30, EcoAustria – Institute for Economic Research.

  20. Kholodilin, Konstantin & Kolmer, Christian & Thomas, Tobias & Ulbricht, Dirk, 2015. "Asymmetric perceptions of the economy: Media, firms, consumers, and experts," DICE Discussion Papers 188, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    Cited by:

    1. Céline Bonnet & Jan Philip Schain, 2020. "An Empirical Analysis of Mergers: Efficiency Gains and Impact on Consumer Prices," Post-Print hal-02952921, HAL.
    2. Dewenter, Ralf & Heimeshoff, Ulrich & Thomas, Tobias, 2016. "Media coverage and car manufacturers' sales," DICE Discussion Papers 215, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    3. Brandt, Richard, 2021. "Economic Policy Uncertainty Index: Extension and optimization of Scott R. Baker, Nicholas Bloom and Steven J. Davis's search term," DoCMA Working Papers 5, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
    4. Müller, Henrik & Hornig, Nico, 2020. ""I heard the News today, oh Boy": An updated Version of our Uncertainty Perception Indicator (UPI) – and some general thoughts on news-based economic indicators," DoCMA Working Papers 2-2020, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).

  21. Christian Dreger & Jarko Fidrmuc & Konstantin Kholodilin & Dirk Ulbricht, 2015. "The Ruble between the Hammer and the Anvil: Oil Prices and Economic Sanctions," Discussion Papers of DIW Berlin 1488, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Jonas Frank, 2017. "The empirical consequences of trade sanctions for directly and indirectly affected countries," FIW Working Paper series 174, FIW.
    2. Hinz, Julian & Monastyrenko, Evgenii, 2019. "Bearing the cost of politics: Consumer prices and welfare in Russia," Kiel Working Papers 2119, Kiel Institute for the World Economy (IfW Kiel).
    3. Daniel P. Ahn & Rodney D. Ludema, 2019. "The sword and the shield: the economics of targeted sanctions," CESifo Working Paper Series 7620, CESifo.
    4. Matthieu Crozet & Julian Hinz, 2020. "Friendly fire: the trade impact of the Russia sanctions and counter-sanctions," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 35(101), pages 97-146.
    5. Peeva, Aleksandra, 2019. "Did sanctions help Putin?," Discussion Papers 2019/7, Free University Berlin, School of Business & Economics.
    6. Hinz, Julian, 2017. "The cost of sanctions: Estimating lost trade with gravity," Kiel Working Papers 2093, Kiel Institute for the World Economy (IfW Kiel).
    7. Mirzosaid Sultonov, 2020. "The Impact of International Sanctions on Russian Financial Markets," Economies, MDPI, vol. 8(4), pages 1-14, December.
    8. Klose, Jens, 2024. "Empirical effects of sanctions and support measures on stock prices and exchange rates in the Russia–Ukraine war," Global Finance Journal, Elsevier, vol. 59(C).
    9. Frank, Jonas, 2018. "The effects of economic sanctions on trade: New evidence from a panel PPML gravity approach," Hohenheim Discussion Papers in Business, Economics and Social Sciences 17-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    10. Aleksei Anatolievich Ustiuzhanin & Irina Aleksandrovna Liman & Elena Petrovna Kiselitsa & Natalia Nikolaevna Shilova & Tatiana Ivanovna Leyman, 2019. "The ruble exchange rate and the price of oil: assessment of the degree of dependence, its causes and ways of overcoming," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 121-132, September.
    11. V. Arkhipova V. & В. Архипова В., 2017. "Современный санкционный режим в отношении России: характеристика и глобальный аспект // Current Sanctions Regime Against Russia: Characteristics and Global Aspect," Мир новой экономики // The world of new economy, Финансовый университет при Правительстве Российской Федерации // Financial University under The Governtment оf The Russian Federation, issue 2, pages 13-19.
    12. Matthieu Crozet & Julian Hinz, 2016. "Collateral Damage: The impact of the Russia sanctions on sanctioning countries’ exports," Working Papers 2016-16, CEPII research center.
    13. Elisabeth Christen & Oliver Fritz & Gerhard Streicher & Julian Hinz, 2016. "Auswirkungen der Wirtschaftssanktionen der EU und Russlands auf Wertschöpfung und Beschäftigung in Österreich und der EU," WIFO Studies, WIFO, number 59227, April.
    14. Mirzosaid Sultonov, 2022. "Regional Economic and Financial Interconnectedness and the Impact of Sanctions: The Case of the Commonwealth of Independent States," JRFM, MDPI, vol. 15(12), pages 1-18, November.

  22. Konstantin A. Kholodilin, 2015. "Fifty Shades of State: Quantifying Housing Market Regulations in Germany," Discussion Papers of DIW Berlin 1530, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Lars Vandrei, 2018. "Does Regulation Discourage Investors? Sales Price Effects of Rent Controls in Germany," ifo Working Paper Series 262, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. International Monetary Fund, 2016. "Germany: Selected Issues," IMF Staff Country Reports 2016/203, International Monetary Fund.
    3. Konstantin A. Kholodilin & Andreas Mense & Claus Michelsen, 2016. "Market Break or Simply Fake? Empirics on the Causal Effects of Rent Controls in Germany," Discussion Papers of DIW Berlin 1584, DIW Berlin, German Institute for Economic Research.
    4. Lorenz Thomschke, 2019. "Über die Evaluierung der Mietpreisbremse [On the evaluation of the German rental price break]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 21-36, November.
    5. Kholodilin, Konstantin A., 2016. "War, Housing Rents, and Free Market: Berlin's Rental Housing during World War I," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20(3), pages 322-344.
    6. Weber, Jan Philip & Lee, Gabriel, . "On the Measure of Private Rental Market Regulation Index and its Effect on Housing Rents: Cross Country Evidence," Beiträge zur Immobilienwirtschaft, University of Regensburg, Department of Economics, number 21.
    7. Bayar, Mehmet, 2016. "The impact of cultural diversity on the German housing market," Ruhr Economic Papers 662, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  23. Kholodilin, Konstantin A. & Ulbricht, Dirk, 2015. "Urban house prices: A tale of 48 cities," Economics Discussion Papers 2015-13, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Konstantin A. Kholodilin & Claus Michelsen & Dirk Ulbricht, 2018. "Speculative price bubbles in urban housing markets," Empirical Economics, Springer, vol. 55(4), pages 1957-1983, December.
    2. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    3. Konstantin Kholodilin & Irina Koroleva & Darya Kryutchenko, 2022. "Where is the consumer centre? A case of St. Petersburg," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(4), pages 916-938, August.
    4. Jean-Charles BRICONGNE & Alessandro TURRINI & Peter PONTUCH, 2019. "Assessing House Prices: Insights from HouseLev, a Dataset of Price Level Estimates," LEO Working Papers / DR LEO 2675, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    5. Konstantin A. Kholodilin & Irina Krylova & Darya Kryutchenko, 2017. "Finding the Consumer Center of St. Petersburg?," HSE Working papers WP BRP 165/EC/2017, National Research University Higher School of Economics.
    6. Konstantin A. Kholodilin & Julien Licheron, 2017. "Macroeconomic Effects of Rental Housing Regulations: The Case of Germany in 1950-2015," Discussion Papers of DIW Berlin 1649, DIW Berlin, German Institute for Economic Research.
    7. Gabriel M. Ahlfeldt & Elisabetta Pietrostefani, 2017. "The Economic Effects of Density: A Synthesis," SERC Discussion Papers 0210, Centre for Economic Performance, LSE.
    8. Kajuth, Florian, 2020. "The German housing market cycle: Answers to FAQs," Discussion Papers 20/2020, Deutsche Bundesbank.
    9. Stolbov, Mikhail & Shchepeleva, Maria, 2022. "Modeling global real economic activity: Evidence from variable selection across quantiles," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    10. Kajuth, Florian, 2021. "Land leverage and the housing market: Evidence from Germany1," Journal of Housing Economics, Elsevier, vol. 51(C).
    11. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Centre for Economic Performance, LSE.
    12. Konstantin A. Kholodilin & Irina Krylova & Darya Kryutchenko, 2017. "Where Is the Consumer Center of St. Petersburg?," Discussion Papers of DIW Berlin 1666, DIW Berlin, German Institute for Economic Research.
    13. Jose Torres-Pruñonosa & Pablo García-Estévez & Camilo Prado-Román, 2021. "Artificial Neural Network, Quantile and Semi-Log Regression Modelling of Mass Appraisal in Housing," Mathematics, MDPI, vol. 9(7), pages 1-16, April.

  24. Konstantin A. Kholodilin & Dirk Ulbricht & Georg Wagner, 2014. "Are the Economic Sanctions against Russia Effective?," DIW Roundup: Politik im Fokus 28, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Peter Havlik, 2014. "Economic Consequences of the Ukraine Conflict," wiiw Policy Notes 14, The Vienna Institute for International Economic Studies, wiiw.
    2. Galkin, Andrei S. & Gurov, Ilya N. & Studnikov, Sergey S., 2020. "Accounting mechanism for information signals about the imposition of sanctions in valuation of a company," Economic Consultant, Roman I. Ostapenko, vol. 29(1), pages 57-64.
    3. Opitz, Alexander, 2015. "Democratic prospects in Imperial Russia: The revolution of 1905 and the political stock market," Hohenheim Discussion Papers in Business, Economics and Social Sciences 15-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    4. Andreea-Emanuela Drăgoi & Dorina Clichici, 2017. "The USA and the Russian Federation: What’s next in the post-sanctions era," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 5(1), pages 54-65, June.
    5. Andreea – Emanuela Drǎgoi & Napoleon Pop, 2016. "Scenario Analysis for the Perspectives of the EU-Russian Federation Relationship," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 4(2), pages 66-73, November.
    6. Baumann, Alexendra & Wohlrabe, Klaus, 2019. "Publikationen von Wirtschaftsforschungsinstituten im deutschsprachigen Raum - Eine bibliometrische Analyse [Publications of Economic Research Insitutes in the German Speaking Area - A bibliometric ," MPRA Paper 92240, University Library of Munich, Germany.
    7. Oliver Fritz & Elisabeth Christen & Franz Sinabell & Julian Hinz, 2017. "Russia's and the EU's Sanctions. Economic and Trade Effects, Compliance and the Way Forward," WIFO Studies, WIFO, number 60669, April.

  25. Kholodilin, Konstantin A. & Thomas, Tobias & Ulbricht, Dirk, 2014. "Do media data help to predict German industrial production?," DICE Discussion Papers 149, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    Cited by:

    1. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Measuring partisan media bias in US Newscasts from 2001-2012," Working Paper 183/2020, Helmut Schmidt University, Hamburg, revised 15 Nov 2022.
    2. Berger, Johannes & Strohner, Ludwig & Thomas, Tobias, 2017. "Auswirkungen der Fluchtmigration auf Wachstum und Beschäftigung in Österreich," Policy Notes 13, EcoAustria – Institute for Economic Research.
    3. Ksenia Yakovleva, 2018. "Text Mining-based Economic Activity Estimation," Russian Journal of Money and Finance, Bank of Russia, vol. 77(4), pages 26-41, December.
    4. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "News media vs. FRED-MD for macroeconomic forecasting," Working Papers No 08/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    5. Ralf Dewenter & Uwe Dulleck & Tobias Thomas, 2020. "Does the 4th estate deliver? The Political Coverage Index and its application to media capture," Constitutional Political Economy, Springer, vol. 31(3), pages 292-328, September.
    6. Patrick Hirsch & Lars P. Feld & Ekkehard A. Köhler & Tobias Thomas, 2024. "“Whatever It Takes!” How Tonality of TV-News Affected Government Bond Yield Spreads during the European Debt Crisis," CESifo Working Paper Series 10980, CESifo.
    7. Julia Wolfinger & Lars P. Feld & Ekkehard A. Köhler & Tobias Thomas, 2018. "57 Channels (And Nothin On) - Does TV-News on the Eurozone Affect Government Bond Yield Spreads?," CESifo Working Paper Series 7437, CESifo.
    8. Benjamin Beckers & Konstantin A. Kholodilin & Dirk Ulbricht, 2017. "Reading between the Lines: Using Media to Improve German Inflation Forecasts," Discussion Papers of DIW Berlin 1665, DIW Berlin, German Institute for Economic Research.
    9. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Watchdog or loyal servant? Political media bias in US newscasts," DICE Discussion Papers 348, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    10. Christine Benesch & Simon Loretz & David Stadelmann & Tobias Thomas, 2018. "Media Coverage and Immigration Worries: Econometric Evidence," CREMA Working Paper Series 2018-03, Center for Research in Economics, Management and the Arts (CREMA).
    11. Hirsch, Patrick & Köhler, Ekkehard A. & Feld, Lars P. & Thomas, Tobias, 2020. ""Whatever it takes!": How tonality of TV-news affects government bond yield spreads during crises," Freiburg Discussion Papers on Constitutional Economics 20/9, Walter Eucken Institut e.V..
    12. Schlösser, Alexander, 2020. "Forecasting industrial production in Germany: The predictive power of leading indicators," Ruhr Economic Papers 838, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. Henzel Steffen R. & Wohlrabe Klaus & Lehmann Robert, 2015. "Nowcasting Regional GDP: The Case of the Free State of Saxony," Review of Economics, De Gruyter, vol. 66(1), pages 71-98, April.
    14. Ardia, David & Bluteau, Keven & Boudt, Kris, 2019. "Questioning the news about economic growth: Sparse forecasting using thousands of news-based sentiment values," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1370-1386.
    15. Müller, Henrik & Hornig, Nico, 2020. ""I heard the News today, oh Boy": An updated Version of our Uncertainty Perception Indicator (UPI) – and some general thoughts on news-based economic indicators," DoCMA Working Papers 2-2020, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
    16. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "News media versus FRED‐MD for macroeconomic forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 63-81, January.
    17. Kholodilin, Konstantin & Kolmer, Christian & Thomas, Tobias & Ulbricht, Dirk, 2015. "Asymmetric perceptions of the economy: Media, firms, consumers, and experts," DICE Discussion Papers 188, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    18. Dorine Boumans & Henrik Müller & Stefan Sauer, 2022. "How Media Content Influences Economic Expectations: Evidence from a Global Expert Survey," ifo Working Paper Series 380, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    19. Yiqiao Chen & Elisabete A. Silva & José P. Reis, 2021. "Measuring policy debate in a regrowing city by sentiment analysis using online media data: A case study of Leipzig 2030," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 675-692, June.

  26. Konstantin A. Kholodilin & Claus Michelsen, 2014. "The Market Value of Energy Efficiency in Buildings and the Mode of Tenure," Discussion Papers of DIW Berlin 1398, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Taruttis, Lisa & Weber, Christoph, 2022. "Estimating the impact of energy efficiency on housing prices in Germany: Does regional disparity matter?," Energy Economics, Elsevier, vol. 105(C).
    2. Andreas Mense, 2018. "The Value of Energy Efficiency and the Role of Expected Heating Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 671-701, November.
    3. Claudy, Marius & Michelsen, Claus, 2016. "Housing Market Fundamentals, Housing Quality and Energy Consumption: Evidence from Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 37(4), pages 25-43.
    4. Copiello, Sergio, 2017. "Building energy efficiency: A research branch made of paradoxes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1064-1076.
    5. Carolin Pommeranz & Bertram Ingolf Steininger, 2018. "Willingness or Market Power: What Induces Tenants to Pay for Energy Efficient Housing?," ERES eres2018_134, European Real Estate Society (ERES).
    6. Neumann, Uwe & Taruttis, Lisa, 2018. "Sorting in an urban housing market - is there a response to demographic change?," Ruhr Economic Papers 784, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Jean-Charles Bricongne & Baptiste Meunier & Sylvain Pouget, 2023. "Web-scraping housing prices in real-time: The Covid-19 crisis in the UK," SciencePo Working papers Main hal-04064185, HAL.
    8. Martin Micheli, 2020. "Local governments’ indebtedness and its impact on real estate prices," Urban Studies, Urban Studies Journal Limited, vol. 57(5), pages 1032-1048, April.
    9. Luiz de Mello, 2023. "Real Estate in a Post-Pandemic World: How Can Policies Make Housing More Enviromentally Sustainable and Affordable?," Hacienda Pública Española / Review of Public Economics, IEF, vol. 244(1), pages 111-139, March.
    10. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.
    11. Cespedes-Lopez, Maria-Francisca & Perez-Sanchez, V. Raul & Mora-Garcia, Raul-Tomas, 2022. "The influence of housing location on energy ratings price premium in Alicante, Spain," Ecological Economics, Elsevier, vol. 201(C).
    12. Guillaume Chapelle & Jean Benoît Eyméoud, 2022. "Can big data increase our knowledge of local rental markets? A dataset on the rental sector in France," Post-Print hal-03592434, HAL.
    13. Liu, Nan & Zhao, Yuan & Ge, Jiaqi, 2018. "Do renters skimp on energy efficiency during economic recessions? Evidence from Northeast Scotland," Energy, Elsevier, vol. 165(PA), pages 164-175.
    14. Lisa Taruttis & Christoph Weber, 2020. "Estimating the impact of energy efficiency on housing prices in Germany: Does regional disparity matter?," EWL Working Papers 2004, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    15. Maria-Francisca Cespedes-Lopez & Raul-Tomas Mora-Garcia & V. Raul Perez-Sanchez & Juan-Carlos Perez-Sanchez, 2019. "Meta-Analysis of Price Premiums in Housing with Energy Performance Certificates (EPC)," Sustainability, MDPI, vol. 11(22), pages 1-59, November.
    16. Khazal, Aras & Sønstebø, Ole Jakob, 2020. "Valuation of energy performance certificates in the rental market – Professionals vs. nonprofessionals," Energy Policy, Elsevier, vol. 147(C).
    17. Gohl, Niklas, 2019. "House prices and spatial mobility: Lock-in effects on the German rental market," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203557, Verein für Socialpolitik / German Economic Association.
    18. Luisa Dressler & Elisabetta Cornago, 2017. "The Rent Impact of Disclosing Energy Performance Certificates: Energy Efficiency and Information Effects," Working Papers ECARES ECARES 2017-16, ULB -- Universite Libre de Bruxelles.
    19. Fuerst, Franz & Oikarinen, Elias & Harjunen, Oskari, 2016. "Green signalling effects in the market for energy-efficient residential buildings," Applied Energy, Elsevier, vol. 180(C), pages 560-571.
    20. Ter Steege, Lucas & Vogel, Edgar, 2021. "German residential real estate valuation under NGFS climate scenarios," Technical Papers 09/2021, Deutsche Bundesbank.
    21. Mikael Mangold & Magnus Österbring & Conny Overland & Tim Johansson & Holger Wallbaum, 2018. "Building Ownership, Renovation Investments, and Energy Performance—A Study of Multi-Family Dwellings in Gothenburg," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    22. Taruttis, Lisa & Weber, Christoph, 2020. "Estimating the impact of energy efficiency on housing prices in Germany: Does regional disparity matter?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224582, Verein für Socialpolitik / German Economic Association.
    23. Konstantin A. Kholodilin, 2018. "Measuring Stick-Style Housing Policies: a Multi-Country Longitudinal Database of Governmental Regulations," Discussion Papers of DIW Berlin 1727, DIW Berlin, German Institute for Economic Research.
    24. Sieger, Lisa & Weber, Christoph, 2023. "Inefficient markets for energy efficiency? – The efficiency premium puzzle in the German rental housing market," Energy Policy, Elsevier, vol. 183(C).
    25. Im, Jongho & Seo, Youngme & Cetin, Kristen S. & Singh, Jasmeet, 2017. "Energy efficiency in U.S. residential rental housing: Adoption rates and impact on rent," Applied Energy, Elsevier, vol. 205(C), pages 1021-1033.
    26. Dominik Engel & Philip Gärtner & Hans-Joachim Linke, 2021. "Der Zusammenhang zwischen Wohnungsgröße und Miethöhe in Deutschland und dessen Einfluss auf die Projektentwicklung [The correlation of apartment size and rent in Germany and its influence on projec," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 7(2), pages 99-119, October.
    27. Franz Fuerst & Ben Dalton, 2019. "Gibt es einen wissenschaftlichen Konsens zur Wirtschaftlichkeit nachhaltiger Immobilien? [Is there a scientific consensus on the economic viability of sustainable buildings?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 173-191, November.
    28. Martey, Edward, 2019. "Tenancy and energy choice for lighting and cooking: Evidence from Ghana," Energy Economics, Elsevier, vol. 80(C), pages 570-581.
    29. März, Steven & Stelk, Ines & Stelzer, Franziska, 2022. "Are tenants willing to pay for energy efficiency? Evidence from a small-scale spatial analysis in Germany," Energy Policy, Elsevier, vol. 161(C).
    30. Franz Fuerst & Pat McAllister & Anupam Nanda & Peter Wyatt, 2015. "Energy Performance Ratings and House Prices in Wales: An Empirical Study," ERES eres2015_112, European Real Estate Society (ERES).
    31. Franke, Melanie & Nadler, Claudia, 2019. "Energy efficiency in the German residential housing market: Its influence on tenants and owners," Energy Policy, Elsevier, vol. 128(C), pages 879-890.

  27. Konstantin A. Kholodilin & Claus Michelsen & Dirk Ulbricht, 2014. "Speculative Price Bubbles in Urban Housing Markets in Germany," Discussion Papers of DIW Berlin 1417, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Jean-Louis Bago & Koffi Akakpo & Imad Rherrad & Ernest Ouédraogo, 2021. "Volatility Spillover and International Contagion of Housing Bubbles," JRFM, MDPI, vol. 14(7), pages 1-14, June.
    2. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    3. Hans Fehr & Maurice Hofmann, 2019. "Tenure Choice, Portfolio Structure and Long-Term Care - Optimal Risk Management in Retirement," CESifo Working Paper Series 7783, CESifo.
    4. Konstantin A. Kholodilin & Julien Licheron, 2017. "Macroeconomic Effects of Rental Housing Regulations: The Case of Germany in 1950-2015," Discussion Papers of DIW Berlin 1649, DIW Berlin, German Institute for Economic Research.
    5. Kajuth, Florian, 2020. "The German housing market cycle: Answers to FAQs," Discussion Papers 20/2020, Deutsche Bundesbank.
    6. Kholodilin, Konstantin A. & Ulbricht, Dirk, 2015. "Urban house prices: A tale of 48 cities," Economics Discussion Papers 2015-13, Kiel Institute for the World Economy (IfW Kiel).
    7. Ansgar Belke & Jonas Keil, 2018. "Fundamental Determinants of Real Estate Prices: A Panel Study of German Regions," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(1), pages 25-45, February.
    8. Kajuth, Florian, 2021. "Land leverage and the housing market: Evidence from Germany1," Journal of Housing Economics, Elsevier, vol. 51(C).
    9. Jan R. Kim & Gieyoung Lim, 2018. "A look into German housing markets: A bubble call?," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 21(4), pages 289-301, December.

  28. Dreger, Christian & Kholodilin, Konstantin A., 2012. "An early warning system to predict the speculative house price bubbles," Economics Discussion Papers 2012-44, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Reimers, Hans-Eggert, 2012. "Early warning indicator model of financial developments using an ordered logit," Wismar Discussion Papers 06/2012, Hochschule Wismar, Wismar Business School.
    2. Lenarčič, Črt & Zorko, Robert & Herman, Uroš & Savšek, Simon, 2016. "A Primer on Slovene House Prices Forecast," MPRA Paper 103552, University Library of Munich, Germany.
    3. Konstantin A. Kholodilin & Claus Michelsen & Dirk Ulbricht, 2018. "Speculative price bubbles in urban housing markets," Empirical Economics, Springer, vol. 55(4), pages 1957-1983, December.
    4. Brian Micallef, 2016. "Property price misalignment with fundamentals in Malta," CBM Working Papers WP/03/2016, Central Bank of Malta.
    5. Kajuth, Florian & Knetsch, Thomas A. & Pinkwart, Nicolas, 2013. "Assessing house prices in Germany: Evidence from an estimated stock-flow model using regional data," Discussion Papers 46/2013, Deutsche Bundesbank.
    6. Christophe André & Petre Caraiani & Adrian Cantemir Čalin & Rangan Gupta, 2018. "Can Monetary Policy Lean against Housing Bubbles?," Working Papers 201877, University of Pretoria, Department of Economics.
    7. Janusz Sobieraj & Dominik Metelski, 2021. "Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities," JRFM, MDPI, vol. 14(9), pages 1-29, September.
    8. Marsay, David, 2016. "Decision-making under radical uncertainty: An interpretation of Keynes' treatise," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-31.
    9. López-Laborda, Julio & Peña, Guillermo, 2017. "Does financial VAT affect the size of the financial sector?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-28.
    10. Boysen-Hogrefe, Jens & Gern, Klaus-Jürgen & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Plödt, Martin & van Roye, Björn & Scheide, Joachim & Schwarzmüller, Tim, 2015. "Das europäische Verfahren zur Vermeidung und Korrektur makroökonomischer Ungleichgewichte: Auswertung der bisherigen Erfahrung und mögliche Reformansätze," Kieler Beiträge zur Wirtschaftspolitik 7, Kiel Institute for the World Economy (IfW Kiel).
    11. Lenarčič, Črt & Damjanović, Milan, 2015. "Slovene Residential Property Prices Misalignment with Fundamentals," MPRA Paper 101198, University Library of Munich, Germany.
    12. Muellbauer, John & Geiger, Felix & Rupprecht, Manuel, 2016. "The housing market, household portfolios and the German consumer," Working Paper Series 1904, European Central Bank.

  29. Konstantin A. Kholodilin & Andreas Mense, 2012. "Internet-Based Hedonic Indices of Rents and Prices for Flats: Example of Berlin," Discussion Papers of DIW Berlin 1191, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Beckmann, Paul & Fulda, Barbara & Kohl, Sebastian, 2020. "Housing and voting in Germany: Multi-level evidence for the association between house prices and housing tenure and party outcomes, 1980-2017," MPIfG Discussion Paper 20/6, Max Planck Institute for the Study of Societies.
    2. Thomschke, Lorenz, 2015. "Changes in the distribution of rental prices in Berlin," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 88-100.
    3. Konstantin A. Kholodilin, 2012. "Internet Offer Prices for Flats and Their Determinants: A Cross Section of Large European Cities," Discussion Papers of DIW Berlin 1212, DIW Berlin, German Institute for Economic Research.
    4. Konstantin A. Kholodilin & Andreas Mense, 2012. "Forecasting the Prices and Rents for Flats in Large German Cities," Discussion Papers of DIW Berlin 1207, DIW Berlin, German Institute for Economic Research.

  30. Konstantin A. Kholodilin & Andreas Mense, 2012. "Forecasting the Prices and Rents for Flats in Large German Cities," Discussion Papers of DIW Berlin 1207, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. M. Mayer & R. Patuelli, 2013. "Spatial Panel Data Forecasting over Different Horizons, Cross-Sectional and Temporal Dimensions," Working Papers wp899, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Kajuth, Florian & Knetsch, Thomas A. & Pinkwart, Nicolas, 2013. "Assessing house prices in Germany: Evidence from an estimated stock-flow model using regional data," Discussion Papers 46/2013, Deutsche Bundesbank.
    3. Konstantin A. Kholodilin & Boriss Siliverstovs, 2017. "Think national, forecast local: a case study of 71 German urban housing markets," Applied Economics, Taylor & Francis Journals, vol. 49(42), pages 4271-4297, September.
    4. Xueting Zhao & J. Burnett, 2014. "Forecasting province-level $${\text {CO}}_{2}$$ CO 2 emissions in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 171-183, October.
    5. Konstantin Kholodilin, 2014. "Business confidence and forecasting of housing prices and rents in large German cities," ERSA conference papers ersa14p9, European Regional Science Association.
    6. Budde, Rüdiger & Micheli, Martin, 2013. "Monitoring regionaler Immobilienpreise," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 64(4), pages 31-47.

  31. Andreas Mense & Konstantin A. Kholodilin, 2012. "Noise Expectation and House Prices," Discussion Papers of DIW Berlin 1244, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Mense, Andreas & Wirth, Benjamin, 2014. "Flat Prices, Cell Phone Base Stations, and Network Structure: An Instrumental Variable Approach to Endogenous Locations," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100618, Verein für Socialpolitik / German Economic Association.
    2. Benjamin Wirth & Andreas Mense, 2014. "Flat Prices, Cell Phone Base Stations, and Network Structure," ERSA conference papers ersa14p1552, European Regional Science Association.

  32. Konstantin A. Kholodilin, 2012. "Internet Offer Prices for Flats and Their Determinants: A Cross Section of Large European Cities," Discussion Papers of DIW Berlin 1212, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Thomschke, Lorenz, 2015. "Changes in the distribution of rental prices in Berlin," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 88-100.
    2. Konstantin Kholodilin, 2015. "Speculative Bubbles in Urban Housing Markets in Germany," ERSA conference papers ersa15p67, European Regional Science Association.

  33. Vyacheslav Dombrovsky & Konstantin A. Kholodilin & Boriss Siliverstovs, 2011. "Using Personal Car Register for Measuring Economic Inequality in Countries with a Large Share of Shadow Economy: Evidence for Latvia," Discussion Papers of DIW Berlin 1153, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Braguinsky, Serguey & Mityakov, Sergey, 2015. "Foreign corporations and the culture of transparency: Evidence from Russian administrative data," Journal of Financial Economics, Elsevier, vol. 117(1), pages 139-164.
    2. Michał Brzeziński & Katarzyna Sałach & Marcin Wroński, 2020. "Wealth inequality in Central and Eastern Europe: Evidence from household survey and rich lists’ data combined," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 28(4), pages 637-660, October.
    3. Michal Brzezinski & Katarzyna Sałach & Marcin Wroński, 2019. "Wealth inequality in Central and Eastern Europe: evidence from joined household survey and rich lists’ data," Working Papers 2019-09, Faculty of Economic Sciences, University of Warsaw.

  34. Konstantin A. Kholodilin & Andreas Mense, 2011. "Can Internet Ads Serve as an Indicator of Homeownership Rates?," Discussion Papers of DIW Berlin 1168, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Claus Michelsen & Konstantin Kholodilin & Andreas Mense, 2016. "The market value of energy efficiency in buildings and the mode of tenure," ERES eres2016_177, European Real Estate Society (ERES).
    2. Kholodilin, Konstantin A. & Ulbricht, Dirk, 2015. "Urban house prices: A tale of 48 cities," Economics Discussion Papers 2015-13, Kiel Institute for the World Economy (IfW Kiel).
    3. Konstantin A. Kholodilin & Andreas Mense, 2012. "Internet-Based Hedonic Indices of Rents and Prices for Flats: Example of Berlin," Discussion Papers of DIW Berlin 1191, DIW Berlin, German Institute for Economic Research.
    4. Thomschke, Lorenz, 2015. "Changes in the distribution of rental prices in Berlin," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 88-100.
    5. Konstantin A. Kholodilin, 2012. "Internet Offer Prices for Flats and Their Determinants: A Cross Section of Large European Cities," Discussion Papers of DIW Berlin 1212, DIW Berlin, German Institute for Economic Research.
    6. Andreas Mense & Konstantin Kholodilin, 2014. "Noise expectations and house prices: the reaction of property prices to an airport expansion," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(3), pages 763-797, May.

  35. Konstantin A. Kholodilin & Ulrich Thießen, 2011. "The Shadow Economy in OECD Countries: Panel-Data Evidence," Discussion Papers of DIW Berlin 1122, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Misbah Kiani & Adeel Ahmed & Khalid Zaman, 2015. "Combining qualitative and quantitative approaches for measuring underground economy of Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 295-317, January.

  36. Katharina Pijnenburg & Konstantin A. Kholodilin, 2011. "Do Regions with Entrepreneurial Neighbors Perform Better?: A Spatial Econometric Approach for German Regions," Discussion Papers of DIW Berlin 1103, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Alejandro Almeida & Antonio Golpe & Raquel Justo, 2021. "From hot to cold: A spatial analysis of self‐employment in the United States," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1005-1023, August.
    2. Lado-Sestayo Rubén & Neira-Gómez Isabel & Chasco-Yrigoyen Coro, 2017. "Entrepreneurship at Regional Level: Temporary and Neighborhood Effects," Entrepreneurship Research Journal, De Gruyter, vol. 7(4), pages 1-12, October.
    3. Burridge, Peter, 2011. "A research agenda on general-to-specific spatial model search," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 71-90.
    4. Frank M. Fossen & Thorsten Martin, 2016. "Entrepreneurial Spillovers over Space and Time," Discussion Papers of DIW Berlin 1618, DIW Berlin, German Institute for Economic Research.
    5. Jiao, Xiaoying & Chen, Jason Li & Li, Gang, 2021. "Forecasting tourism demand: Developing a general nesting spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 90(C).
    6. Vanessa Hellwig, 2023. "Digital gravity? Firm birth and relocation patterns of young digital firms in Germany," Journal of Regional Science, Wiley Blackwell, vol. 63(2), pages 340-378, March.
    7. Fossen, Frank M. & Martin, Thorsten, 2018. "Entrepreneurial dynamics over space and time," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 204-214.
    8. José Alberto Martínez-González & Urszula Kobylinska & Francisco J. García-Rodríguez & Lukasz Nazarko, 2019. "Antecedents of Entrepreneurial Intention among Young People: Model and Regional Evidence," Sustainability, MDPI, vol. 11(24), pages 1-29, December.
    9. Aziz N. Berdiev & James W. Saunoris, 2020. "Cross‐Country Evidence Of Corruption Spillovers To Formal And Informal Entrepreneurship," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 48-66, January.
    10. Peng, Ling & Hong, Yongmiao, 2013. "Productivity spillovers among linked sectors," China Economic Review, Elsevier, vol. 25(C), pages 44-61.
    11. Silveli Cristo-Andrade & João J. Ferreira, 2020. "Knowledge spillovers and strategic entrepreneurship: what researches and approaches?," International Entrepreneurship and Management Journal, Springer, vol. 16(1), pages 263-286, March.
    12. Heike Delfmann & Sierdjan Koster & Philip McCann & Jouke Van Dijk, 2014. "Population Change and New Firm Formation in Urban and Rural Regions," Regional Studies, Taylor & Francis Journals, vol. 48(6), pages 1034-1050, June.
    13. Xionghe Qin & Debin Du & Mei-Po Kwan, 2019. "Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 721-747, May.
    14. Deller, Steven C. & Conroy, Tessa & Markeson, Bjorn, 2018. "Social capital, religion and small business activity," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 365-381.
    15. N.B. Davidson & O.V. Sanaeva & E.A. Krivousova, 2021. "The Impact of Institutions and Spatial Effects on Entrepreneurship in the Russian Regions," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(4), pages 775-798.
    16. Eunsuk Hong & In Lee & Laixiang Sun & Richard Harrison, 2015. "Entrepreneurship across time and space: empirical evidence from Korea," Small Business Economics, Springer, vol. 44(3), pages 705-719, March.
    17. Charalampos Agiropoulos & Georgios Galanos & Thomas Poufinas, 2021. "Entrepreneurship, Income Inequality and Public Spending: A Spatial Analysis into Regional Determinants of Growing Firms in Greece," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(3), pages 197-218, August.

  37. Konstantin A. Kholodilin & Eric Girardin, 2011. "Are Geese Flying by Themselves inside China? An LSTR-SEM Approach to Income Convergence of Chinese Counties," Discussion Papers of DIW Berlin 1124, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Roberto Casarin & Komla Mawulom Agudze & Monica Billio & Eric Girardin, 2014. "Growth-cycle phases in China�s provinces: A panel Markov-switching approach," Working Papers 2014:19, Department of Economics, University of Venice "Ca' Foscari".

  38. Christian Dreger & Konstantin A. Kholodilin, 2011. "An Early Warning System to Predict the House Price Bubbles," Discussion Papers of DIW Berlin 1142, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Lenarčič, Črt & Zorko, Robert & Herman, Uroš & Savšek, Simon, 2016. "A Primer on Slovene House Prices Forecast," MPRA Paper 103552, University Library of Munich, Germany.
    2. Guglielmo Maria Caporale & Mauro Costantini & Antonio Paradiso, 2012. "Re-examining the Decline in the US Saving Rate: The Impact of Mortgage Equity Withdrawal," CESifo Working Paper Series 3897, CESifo.
    3. Brian Micallef, 2016. "Property price misalignment with fundamentals in Malta," CBM Working Papers WP/03/2016, Central Bank of Malta.
    4. Berlemann, Michael & Freese, Julia & Knoth, Sven, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," Working Paper 124/2012, Helmut Schmidt University, Hamburg.
    5. Christophe André, 2016. "Household debt in OECD countries: Stylised facts and policy issues," OECD Economics Department Working Papers 1277, OECD Publishing.
    6. Alona Shmygel, 2022. "House Price Bubble Detection in Ukraine," IHEID Working Papers 22-2022, Economics Section, The Graduate Institute of International Studies.
    7. Helmut Herwartz & Konstantin A. Kholodilin, 2011. "In-Sample and Out-of-Sample Prediction of Stock Market Bubbles: Cross-Sectional Evidence," Discussion Papers of DIW Berlin 1173, DIW Berlin, German Institute for Economic Research.
    8. Ansgar Belke & Jonas Keil, 2018. "Fundamental Determinants of Real Estate Prices: A Panel Study of German Regions," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(1), pages 25-45, February.
    9. Muellbauer, John & Geiger, Felix & Rupprecht, Manuel, 2016. "The housing market, household portfolios and the German consumer," Working Paper Series 1904, European Central Bank.
    10. Czerniak, Adam & Borowski, Jakub & Boratyński, Jakub & Rosati, Dariusz, 2020. "Asset price bubbles in a monetary union: Mind the convergence gap," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 288-302.
    11. Michael Berlemann & Julia Freese & Sven Knoth, 2020. "Dating the start of the US house price bubble: an application of statistical process control," Empirical Economics, Springer, vol. 58(5), pages 2287-2307, May.

  39. Helmut Herwartz & Konstantin A. Kholodilin, 2011. "In-Sample and Out-of-Sample Prediction of Stock Market Bubbles: Cross-Sectional Evidence," Discussion Papers of DIW Berlin 1173, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Reimers, Hans-Eggert, 2012. "Early warning indicator model of financial developments using an ordered logit," Wismar Discussion Papers 06/2012, Hochschule Wismar, Wismar Business School.
    2. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Zehn Jahre nach dem großen Knall: wie ist es um die Stabilität der internationalen Immobilienmärkte bestellt? [Ten years after a Big Bang: How stable are the international housing markets?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 67-87, November.
    3. Konstantin A. Kholodilin & Sebastian Kohl & Florian Müller, 2023. "Government-Made House Price Bubbles? Austerity, Homeownership, Rental, and Credit Liberalization Policies and the “Irrational Exuberance” on Housing Markets," Discussion Papers of DIW Berlin 2061, DIW Berlin, German Institute for Economic Research.
    4. Helmut Herwartz & Konstantin A. Kholodilin, 2014. "Uncertainty of Macroeconomic Forecasters and the Prediction of Stock Market Bubbles," Discussion Papers of DIW Berlin 1405, DIW Berlin, German Institute for Economic Research.
    5. Zhi-Qiang Jiang & Gang-Jin Wang & Askery Canabarro & Boris Podobnik & Chi Xie & H. Eugene Stanley & Wei-Xing Zhou, 2016. "Short term prediction of extreme returns based on the recurrence interval analysis," Papers 1610.08230, arXiv.org.
    6. Fu, Junhui & Zhou, Qingling & Liu, Yufang & Wu, Xiang, 2020. "Predicting stock market crises using daily stock market valuation and investor sentiment indicators," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    7. Li, Wei-Xuan & Chen, Clara Chia-Sheng & French, Joseph J., 2015. "Toward an early warning system of financial crises: What can index futures and options tell us?," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 87-99.

  40. Christian Dreger & Konstantin Kholodilin & Michael Artis, 2011. "What drives regional business cycles? The role of common and spatial components," ERSA conference papers ersa10p317, European Regional Science Association.

    Cited by:

    1. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok, 2013. "Regionalization vs. globalization," Working Papers 2013-002, Federal Reserve Bank of St. Louis.
    2. Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Fuller, Caleb S. & Pusateri, Nicholas R., 2018. "A holistic approach to merger models with an emphasis on heterogeneity," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 260-273.
    4. Gupta, Rangan & Ma, Jun & Risse, Marian & Wohar, Mark E., 2018. "Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 317-337.
    5. Wang, Miao & Wong, M.C. Sunny & Granato, Jim, 2015. "International Comovement of Economic Fluctuations: A Spatial Analysis," World Development, Elsevier, vol. 67(C), pages 186-201.
    6. Krzysztof Beck, 2016. "Business Cycle Synchronization In European Union: Regional Perspective," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 785-815, December.
    7. Di Caro, Paolo, 2014. "Regional recessions and recoveries in theory and practice: a resilience-based overview," MPRA Paper 60300, University Library of Munich, Germany.
    8. Julian Ramajo & Miguel A. Marquez & Geoffrey J.D. Hewings, 2013. "Spatio-temporal Analysis of Regional Systems: A Multiregional Spatial Vector Autoregressive Model for Spain," ERSA conference papers ersa13p159, European Regional Science Association.
    9. Sergei S. Shibaev, 2016. "Recession Propagation In Small Regional Economies: Spatial Spillovers And Endogenous Clustering," Working Paper 1369, Economics Department, Queen's University.
    10. Julián Ramajo & Miguel A. Márquez & Geoffrey J. D. Hewings, 2017. "Spatiotemporal Analysis of Regional Systems," International Regional Science Review, , vol. 40(1), pages 75-96, January.
    11. Fredy Vásquez Bedoya & Sergio Iván Restrepo Ochoa & Mauricio Lopera Castaño & María Isabel Restrepo Estrada, 2014. "Los ciclos económicos departamentales en Colombia, 1960-2011," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 16(30), pages 271-295, January-J.

  41. Vyacheslav Dombrovsky & Konstantin A. Kholodilin & Boriss Siliverstovs, 2011. "Using Personal Car Register for Measuring Economic Inequality in Countries with a Large Share of Shadow Economy," KOF Working papers 11-287, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Braguinsky, Serguey & Mityakov, Sergey, 2015. "Foreign corporations and the culture of transparency: Evidence from Russian administrative data," Journal of Financial Economics, Elsevier, vol. 117(1), pages 139-164.

  42. Boriss Siliverstovs & Konstantin A. Kholodilin, 2010. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Discussion Papers of DIW Berlin 970, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Klaus Abberger & Michael Graff & Boriss Siliverstovs & Jan-Egbert Sturm, 2014. "The KOF Economic Barometer, Version 2014," KOF Working papers 14-353, KOF Swiss Economic Institute, ETH Zurich.
    2. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
    3. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    4. Buss, Ginters, 2010. "A note on GDP now-/forecasting with dynamic versus static factor models along a business cycle," MPRA Paper 22147, University Library of Munich, Germany.
    5. Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017. "Nowcasting BRIC+M in real time," International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
    6. Boriss Siliverstovs, 2021. "New York FED Staff Nowcasts and Reality: What Can We Learn about the Future, the Present, and the Past?," Econometrics, MDPI, vol. 9(1), pages 1-25, March.
    7. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
    8. D'Agostino, Antonello & McQuinn, Kieran & O'Brien, Derry, 2008. "Now-casting Irish GDP," Research Technical Papers 9/RT/08, Central Bank of Ireland.
    9. Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.
    10. Evzen Kocenda & Karen Poghosyan, 2018. "Nowcasting real GDP growth with business tendency surveys data: A cross country analysis," KIER Working Papers 1002, Kyoto University, Institute of Economic Research.
    11. Poghosyan, Karen & Poghosyan, Ruben, 2021. "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 28-46.
    12. Boriss Siliverstovs, 2015. "Dissecting Models' Forecasting Performance," KOF Working papers 15-397, KOF Swiss Economic Institute, ETH Zurich.
    13. Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
    14. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    15. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    16. Boriss Siliverstovs, 2017. "Short-term forecasting with mixed-frequency data: a MIDASSO approach," Applied Economics, Taylor & Francis Journals, vol. 49(13), pages 1326-1343, March.
    17. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    18. Мекенбаева Камила // Mekenbayeva Kamila & Karel Musil, 2017. "Система прогнозирования в Национальном Банке Казахстана: наукаст на основа опросов // Forecasting system at the National Bank of Kazakhstan: survey-based nowcasting," Working Papers #2017-1, National Bank of Kazakhstan.

  43. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?: A Real-Time Evidence for the US," Discussion Papers of DIW Berlin 997, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
    2. Chun Li & Jianhua He & Xingwu Duan, 2020. "The Relationship Exploration between Public Migration Attention and Population Migration from a Perspective of Search Query," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    3. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
    4. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute of Labor Economics (IZA).
    5. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
    6. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
    7. Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
    8. Konstantin A. Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," Discussion Papers of DIW Berlin 1036, DIW Berlin, German Institute for Economic Research.
    9. Karaman Örsal, Deniz Dilan, 2021. "Onlinedaten und Konsumentscheidungen: Voraussagen anhand von Daten aus Social Media und Suchmaschinen," Edition HWWI: Chapters, in: Straubhaar, Thomas (ed.), Neuvermessung der Datenökonomie, volume 6, pages 157-172, Hamburg Institute of International Economics (HWWI).
    10. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
    11. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
    12. Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements During the Global Financial Crisis," NBER Working Papers 17359, National Bureau of Economic Research, Inc.
    13. Perrotta Berlin, Maria & Latour, Chiara & Spagnolo, Giancarlo, 2023. "International Spillovers from Prostitution Regulation: The "Nordic Model" and Sex Tourism," SITE Working Paper Series 63, Stockholm School of Economics, Stockholm Institute of Transition Economics, revised 25 Sep 2023.
    14. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
    15. Smith, Geoffrey Peter, 2012. "Google Internet search activity and volatility prediction in the market for foreign currency," Finance Research Letters, Elsevier, vol. 9(2), pages 103-110.
    16. Nuno Barreira & Pedro Godinho & Paulo Melo, 2013. "Nowcasting unemployment rate and new car sales in south-western Europe with Google Trends," Netnomics, Springer, vol. 14(3), pages 129-165, November.
    17. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    18. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
    19. Jianchun Fang & Wanshan Wu & Zhou Lu & Eunho Cho, 2019. "Using Baidu Index To Nowcast Mobile Phone Sales In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 83-96, March.
    20. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    21. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    22. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    23. David Iselin & Boriss Siliverstovs, 2013. "Mit Zeitungen Konjunkturprognosen erstellen: Eine Vergleichsstudie für die Schweiz und Deutschland," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 7(3), pages 104-117, September.
    24. Alberto Urtasun & Mara Gil & Javier J. Perez, 2017. "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017 10745, EcoMod.
    25. Jingwen Liu & Peng Zou & Yu Ma, 2022. "The Effect of Air Pollution on Food Preferences," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 410-423, March.
    26. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

  44. Korbinian von Blanckenburg & Alexander Geist & Konstantin A. Kholodilin, 2010. "The Influence of Collusion on Price Changes: New Evidence from Major Cartel Cases," Discussion Papers of DIW Berlin 1004, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Andreoli-Versbach, Patrick & Franck, Jens-Uwe, 2013. "Actions Speak Louder than Words: Econometric Evidence to Target Tacit Collusion in Oligopolistic Markets," Discussion Papers in Economics 16179, University of Munich, Department of Economics.
    2. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
    3. Gordon Jochem Klein, 2019. "Cartel Destabilization and Leniency Programs – Empirical Evidence," Economics Bulletin, AccessEcon, vol. 39(3), pages 1918-1924.
    4. Andreoli-Versbach, Patrick & Franck, Jens-Uwe, 2013. "Endogenous Price Commitment, Sticky and Leadership Pricing: Evidence from the Italian Petrol Market," Discussion Papers in Economics 16182, University of Munich, Department of Economics.
    5. Preißler-Jebe, Jan Hendrik & von Blanckenburg, Korbinian & Geist, Alexander, 2010. "Comparing cartel behavior: A simulation analysis with the System of Cartel Markers (SCM)," CAWM Discussion Papers 41, University of Münster, Münster Center for Economic Policy (MEP).
    6. Shastitko, Andrey E. & Golovanova, Svetlana V., 2014. "Collusion In Markets Characterized By One Large Buyer: Lessons Learned From An Antitrust Case In Russia," EconStor Research Reports 122048, ZBW - Leibniz Information Centre for Economics.
    7. Yaseen GHULAM, 2018. "The Impact Of Reforms And Privatization On Firms’ Conduct In The Presence Of Interconnected Conglomerates And Weak And Inefficient Regulatory Institutions," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 89(4), pages 599-622, December.
    8. Korbinian von Blanckenburg & Marc Hanfeld & Konstantin A. Kholodilin, 2013. "A Market Screening Model for Price Inconstancies: Empirical Evidence from German Electricity Markets," Discussion Papers of DIW Berlin 1274, DIW Berlin, German Institute for Economic Research.
    9. Carsten J. Crede, 2019. "A Structural Break Cartel Screen for Dating and Detecting Collusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 543-574, May.
    10. Carsten J. Crede, 2015. "A structural break cartel screen for dating and detecting collusion," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2015-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    11. Bejger, Sylwester, 2015. "Screening for collusion: Evidences from the Indian cement industry," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 11(2), pages 1-19.
    12. Daniele Cavicchioli, 2018. "Detecting Market Power Along Food Supply Chains: Evidence and Methodological Insights from the Fluid Milk Sector in Italy," Agriculture, MDPI, vol. 8(12), pages 1-22, December.

  45. Konstantin Kholodilin & Maximilian Podstawski & Boriss Siliverstovs, 2010. "Do Google Searches Help in Nowcasting Private Consumption?," KOF Working papers 10-256, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
    2. Chun Li & Jianhua He & Xingwu Duan, 2020. "The Relationship Exploration between Public Migration Attention and Population Migration from a Perspective of Search Query," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    3. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
    4. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute of Labor Economics (IZA).
    5. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
    6. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
    7. Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
    8. Konstantin A. Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," Discussion Papers of DIW Berlin 1036, DIW Berlin, German Institute for Economic Research.
    9. Karaman Örsal, Deniz Dilan, 2021. "Onlinedaten und Konsumentscheidungen: Voraussagen anhand von Daten aus Social Media und Suchmaschinen," Edition HWWI: Chapters, in: Straubhaar, Thomas (ed.), Neuvermessung der Datenökonomie, volume 6, pages 157-172, Hamburg Institute of International Economics (HWWI).
    10. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
    11. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
    12. Andrew K. Rose & Mark M. Spiegel, 2011. "Dollar Illiquidity and Central Bank Swap Arrangements During the Global Financial Crisis," NBER Working Papers 17359, National Bureau of Economic Research, Inc.
    13. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
    14. Smith, Geoffrey Peter, 2012. "Google Internet search activity and volatility prediction in the market for foreign currency," Finance Research Letters, Elsevier, vol. 9(2), pages 103-110.
    15. Nuno Barreira & Pedro Godinho & Paulo Melo, 2013. "Nowcasting unemployment rate and new car sales in south-western Europe with Google Trends," Netnomics, Springer, vol. 14(3), pages 129-165, November.
    16. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    17. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
    18. Jianchun Fang & Wanshan Wu & Zhou Lu & Eunho Cho, 2019. "Using Baidu Index To Nowcast Mobile Phone Sales In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 83-96, March.
    19. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    20. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    21. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    22. David Iselin & Boriss Siliverstovs, 2013. "Mit Zeitungen Konjunkturprognosen erstellen: Eine Vergleichsstudie für die Schweiz und Deutschland," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 7(3), pages 104-117, September.
    23. Alberto Urtasun & Mara Gil & Javier J. Perez, 2017. "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017 10745, EcoMod.
    24. Jingwen Liu & Peng Zou & Yu Ma, 2022. "The Effect of Air Pollution on Food Preferences," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 410-423, March.
    25. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

  46. Christian Dreger & Konstantin A. Kholodilin, 2010. "Forecasting Private Consumption by Consumer Surveys," Discussion Papers of DIW Berlin 1066, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Gustavo Adolfo HERNANDEZ DIAZ & Margarita MARÍN JARAMILLO, 2016. "Pronóstico del Consumo Privado: Usando datos de alta frecuencia para el pronóstico de variables de baja frecuencia," Archivos de Economía 14828, Departamento Nacional de Planeación.
    2. de Bondt, Gabe & Gieseck, Arne & Herrero, Pablo & Zekaite, Zivile, 2019. "Disaggregate income and wealth effects in the largest euro area countries," Research Technical Papers 15/RT/19, Central Bank of Ireland.
    3. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.
    4. Dimitrios Sideris & Georgia Pavlou, 2021. "Disaggregate income and wealth effects on private consumption in Greece," Working Papers 293, Bank of Greece.
    5. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    6. Kladivko, Kamil & Österholm, Pär, 2020. "Can Households Predict where the Macroeconomy is Headed?," Working Papers 2020:11, Örebro University, School of Business.
    7. Willem Vanlaer & Samantha Bielen & Wim Marneffe, 2020. "Consumer Confidence and Household Saving Behaviors: A Cross-Country Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 677-721, January.
    8. Stephen Bruestle & W. Mark Crain, 2015. "A mean-variance approach to forecasting with the consumer confidence index," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2430-2444, May.
    9. Aneta M. Klopocka & Rumiana Gorska, 2021. "Forecasting Household Saving Rate with Consumer Confidence Indicator and its Components: Panel Data Analysis of 14 European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 874-898.
    10. Paradiso, Antonio & Kumar, Saten & Margani, Patrizia, 2014. "Are Italian consumer confidence adjustments asymmetric? A macroeconomic and psychological motives approach," Journal of Economic Psychology, Elsevier, vol. 43(C), pages 48-63.
    11. Bengt Assarsson & Pär Österholm, 2015. "Do Swedish Consumer Confidence Indicators Do What They Are Intended to Do?," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 61(4), pages 391-404.
    12. Lindner, Axel & Heinisch, Katja, 2019. "Economic Sentiment in Europe: Disentangling Private Information from Public Knowledge," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203501, Verein für Socialpolitik / German Economic Association.
    13. Cláudia Duarte, 2016. "A Mixed Frequency Approach to Forecast Private Consumption with ATM/POS Data," Working Papers w201601, Banco de Portugal, Economics and Research Department.
    14. Vincenzo Merella & Stephen E. Satchell, 2019. "Asset pricing with utility from external anticipation," Carlo Alberto Notebooks 589, Collegio Carlo Alberto.
    15. Oscar Claveria, 2021. "Forecasting with Business and Consumer Survey Data," Forecasting, MDPI, vol. 3(1), pages 1-22, February.
    16. Paradiso, Antonio & Rao, B. Bhaskara & Margani, Patrizia, 2011. "Time Series Estimates of the Italian Consumer Confidence Indicator," MPRA Paper 28395, University Library of Munich, Germany.

  47. Girardin, Eric & Kholodilin, Konstantin A., 2010. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," BOFIT Discussion Papers 15/2010, Bank of Finland Institute for Emerging Economies (BOFIT).

    Cited by:

    1. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    2. Wozniak Marcin, 2020. "Forecasting the unemployment rate over districts with the use of distinct methods," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    3. Valerij Gamukin, 2017. "Structural Change of Gross Regional Product in the Subjects of Ural Federal District," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 410-421.
    4. Robert Lehmann & Klaus Wohlrabe, 2014. "Regional economic forecasting: state-of-the-art methodology and future challenges," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 218-231.
    5. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers CWP41/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    7. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2021. "Forecasting Regional GDPs: a Comparison with Spatial Dynamic Panel Data Models," FBK-IRVAPP Working Papers 2021-02, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    8. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers 41/14, Institute for Fiscal Studies.
    9. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    10. Baltagi, Badi H. & Pirotte, Alain, 2014. "Prediction in a spatial nested error components panel data model," International Journal of Forecasting, Elsevier, vol. 30(3), pages 407-414.
    11. 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.
    12. Andrey V. Polbin & Andrey V. Shumilov, 2022. "Forecasting Output Growth of Russian Manufacturing Industries Using Panel Data Models [Об Использовании Моделей Панельных Данных Для Прогнозирования Темпов Роста Отраслей Российской Обрабатывающей ," Russian Economic Development, Gaidar Institute for Economic Policy, issue 2, pages 15-19, February.
    13. Andrey V. Polbin & Andrey V. Shumilov, 2022. "Об Использовании Моделей Панельных Данных Для Прогнозирования Темпов Роста Отраслей Российской Обрабатывающей Промышленности," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 2, pages 15-19, February.

  48. Konstantin A. Kholodilin & Boriss Siliverstovs, 2010. "Measuring Regional Inequality by Internet Car Price Advertisements: Evidence for Germany," Discussion Papers of DIW Berlin 1036, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
    2. Vyacheslav Dombrovsky & Konstantin A. Kholodilin & Boriss Siliverstovs, 2011. "Using Personal Car Register for Measuring Economic Inequality in Countries with a Large Share of Shadow Economy: Evidence for Latvia," Discussion Papers of DIW Berlin 1153, DIW Berlin, German Institute for Economic Research.
    3. David Iselin & Boriss Siliverstovs, 2016. "Using newspapers for tracking the business cycle: a comparative study for Germany and Switzerland," Applied Economics, Taylor & Francis Journals, vol. 48(12), pages 1103-1118, March.

  49. Girardin, Eric & Kholodilin, Konstantin A., 2010. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," BOFIT Discussion Papers 15/2010, Bank of Finland Institute for Emerging Economies (BOFIT).

    Cited by:

    1. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    2. Wozniak Marcin, 2020. "Forecasting the unemployment rate over districts with the use of distinct methods," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    3. Valerij Gamukin, 2017. "Structural Change of Gross Regional Product in the Subjects of Ural Federal District," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 410-421.
    4. Robert Lehmann & Klaus Wohlrabe, 2014. "Regional economic forecasting: state-of-the-art methodology and future challenges," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 218-231.
    5. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers CWP41/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    7. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2021. "Forecasting Regional GDPs: a Comparison with Spatial Dynamic Panel Data Models," FBK-IRVAPP Working Papers 2021-02, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    8. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers 41/14, Institute for Fiscal Studies.
    9. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    10. Baltagi, Badi H. & Pirotte, Alain, 2014. "Prediction in a spatial nested error components panel data model," International Journal of Forecasting, Elsevier, vol. 30(3), pages 407-414.
    11. 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.
    12. Andrey V. Polbin & Andrey V. Shumilov, 2022. "Forecasting Output Growth of Russian Manufacturing Industries Using Panel Data Models [Об Использовании Моделей Панельных Данных Для Прогнозирования Темпов Роста Отраслей Российской Обрабатывающей ," Russian Economic Development, Gaidar Institute for Economic Policy, issue 2, pages 15-19, February.
    13. Andrey V. Polbin & Andrey V. Shumilov, 2022. "Об Использовании Моделей Панельных Данных Для Прогнозирования Темпов Роста Отраслей Российской Обрабатывающей Промышленности," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 2, pages 15-19, February.

  50. Konstantin Kholodilin & Boriss Siliverstovs, 2010. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP," KOF Working papers 10-251, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
    2. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    3. Buss, Ginters, 2010. "A note on GDP now-/forecasting with dynamic versus static factor models along a business cycle," MPRA Paper 22147, University Library of Munich, Germany.
    4. Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017. "Nowcasting BRIC+M in real time," International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
    5. D'Agostino, Antonello & McQuinn, Kieran & O'Brien, Derry, 2008. "Now-casting Irish GDP," Research Technical Papers 9/RT/08, Central Bank of Ireland.
    6. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    7. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. Мекенбаева Камила // Mekenbayeva Kamila & Karel Musil, 2017. "Система прогнозирования в Национальном Банке Казахстана: наукаст на основа опросов // Forecasting system at the National Bank of Kazakhstan: survey-based nowcasting," Working Papers #2017-1, National Bank of Kazakhstan.

  51. Konstantin A. Kholodilin & Alexei Oshchepkov & Boriss Siliverstovs, 2009. "The Russian regional convergence process," KOF Working papers 09-216, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    2. Skorobogatov, Alexander S., 2018. "Why do newer cities promise higher wages in Russia?," Journal of Urban Economics, Elsevier, vol. 104(C), pages 16-34.
    3. Alexeev, Michael & Chernyavskiy, Andrey, 2018. "A tale of two crises: Federal transfers and regional economies in Russia in 2009 and 2014–2015," Economic Systems, Elsevier, vol. 42(2), pages 175-185.
    4. Brada, Josef C. & Gajewski, Paweł & Kutan, Ali M., 2021. "Economic resiliency and recovery, lessons from the financial crisis for the COVID-19 pandemic: A regional perspective from Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    5. Hartmut Lehmann & Maria Giulia Silvagni, 2013. "Is There Convergence of Russia's Regions?: Exploring the Empirical Evidence: 1995–2010," OECD Economics Department Working Papers 1083, OECD Publishing.
    6. Pastore, Francesco & Semerikova, Elena, 2020. "It's the Way People Move! Labour Migration as an Adjustment Device in Russia," IZA Discussion Papers 12901, Institute of Labor Economics (IZA).
    7. Olga A. Demidova, 2014. "The asymmetric spatial effects for eastern and western regions of Russia," HSE Working papers WP BRP 50/EC/2014, National Research University Higher School of Economics.
    8. Gluschenko, Konstantin, 2010. "Methodologies of Analyzing Inter-Regional Income Inequality and Their Applications to Russia," MPRA Paper 66824, University Library of Munich, Germany.
    9. K.P. Glushchenko (glu@ieie.nsc.ru), 2010. "Methodologies of analyzing inter-regional income inequalities," Journal "Region: Economics and Sociology", Institute of Economics and Industrial Engineering of Siberian Branch of RAS, vol. 1.
    10. Демидова Ольга Анатольевна & Иванов Денис Сергеевич, 2016. "Модели Экономического Роста С Неоднородными Пространственными Эффектами (На Примере Российских Регионов)," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(1), pages 52-75.
    11. Alexander S. Skorobogatov, 2016. "Spatial Equilibrium Approach to the Analysis of Income Differentials Across Russian Cities," HSE Working papers WP BRP 149/EC/2016, National Research University Higher School of Economics.
    12. Leone Leonida, 2024. "Visualizing Convergence Dynamics across Regions and States: h -Convergence," Mathematics, MDPI, vol. 12(2), pages 1-17, January.
    13. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
    14. Demidova, Olga, 2014. "Spatial-autoregressive model for the two groups of related regions (eastern and western parts of Russia)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 34(2), pages 19-35.
    15. Vera Ivanova, 2015. "How Space Channels Wage Convergence: The Case of Russian Cities," HSE Working papers WP BRP 120/EC/2015, National Research University Higher School of Economics.
    16. Elena Vakulenko, 2014. "Does migration lead to regional convergence in Russia?," HSE Working papers WP BRP 53/EC/2014, National Research University Higher School of Economics.
    17. Ravi Sarathy & Elitsa R. Banalieva, 2014. "Economic Development And Marketing Strategies: A Comparative Lens," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 5(1).
    18. Vera Ivanova, 2015. "The well-being of Russian cities: does location matter?," ERSA conference papers ersa15p956, European Regional Science Association.
    19. Hartmut Lehmann & Aleksey Oshchepkov & Maria Giulia Silvagni, 2020. "Regional Convergence In Russia: Estimating A Neoclassical Growth Model," HSE Working papers WP BRP 232/EC/2020, National Research University Higher School of Economics.
    20. Sergei Guriev & Elena Vakulenko, 2012. "Convergence between Russian regions," Working Papers w0180, New Economic School (NES).
    21. Hagemann, Harald & Kufenko, Vadim, 2014. "The political Kuznets curve for Russia: Income inequality, rent seeking regional elites and empirical determinants of protests during 2011/2012," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 39/2013, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    22. Hansjörg Blöchliger & Olivier Durand-Lasserve, 2018. "The drivers of regional growth in Russia: A baseline model with applications," OECD Economics Department Working Papers 1523, OECD Publishing.
    23. A. N. Bufetova, 2020. "Study of Spatial Effects in the Regional Labor Productivity Dynamics," Regional Research of Russia, Springer, vol. 10(2), pages 127-134, April.
    24. Vera Ivanova, 2018. "Spatial convergence of real wages in Russian cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 1-30, July.
    25. Coleman, Stephen, 2010. "The spatial diffusion of social conformity: the case of voting participation," MPRA Paper 23057, University Library of Munich, Germany.
    26. Leone Leonida, 2023. "What Have We Not Learned from the Convergence Debate?," Mathematics, MDPI, vol. 11(9), pages 1-22, April.
    27. Olga Demidova & Pierluigi Daddi & Ekaterina Medvedeva & Marcello Signorelli, 2018. "Modeling the Employment Rate in Russia: a Spatial-Econometric Approach," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1383-1398.
    28. Alexander Myasnikov, 2018. "Analysis of the Determinants of Total Factor Productivity in Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1168-1180.
    29. Anna Bufetova, 2016. "Trends toward the concentration of economic activity and uneven spatial development of Russia," ERSA conference papers ersa16p104, European Regional Science Association.
    30. Lev Freinkman & Konstantin A. Kholodilin & Ulrich Thießen, 2009. "Incentive Effects of Fiscal Equalization: Has Russian Style Improved?," Discussion Papers of DIW Berlin 912, DIW Berlin, German Institute for Economic Research.
    31. World Bank Group, 2017. "Convergence without Equity," World Bank Publications - Reports 30045, The World Bank Group.

  52. Eric Girardin & Konstantin A. Kholodilin, 2009. "Does Accounting for Spatial Effects Help Forecasting the Growth of Chinese Provinces?," Discussion Papers of DIW Berlin 938, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    2. You, Jing, 2013. "China's challenge for decarbonized growth: Forecasts from energy demand models," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 652-668.
    3. Jiandong Ju & Li Su, 2013. "Market structure in the Chinese steel industry," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 20(1), pages 70-84, March.

  53. Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Do Forecasters Inform or Reassure?: Evaluation of the German Real-Time Data," Discussion Papers of DIW Berlin 858, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Katharina Glass & Ulrich Fritsche, 2015. "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series 201406, University of Hamburg, Department of Socioeconomics.
    2. Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
    3. Ullrich Heilemann & Herman O. Stekler, 2013. "Has The Accuracy of Macroeconomic Forecasts for Germany Improved?," German Economic Review, Verein für Socialpolitik, vol. 14(2), pages 235-253, May.
    4. de Mendonça, Helder Ferreira & Baca, Adriana Cabrera, 2022. "Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 69-82.
    5. Helmut Herwartz & Konstantin A. Kholodilin, 2011. "In-Sample and Out-of-Sample Prediction of Stock Market Bubbles: Cross-Sectional Evidence," Discussion Papers of DIW Berlin 1173, DIW Berlin, German Institute for Economic Research.
    6. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    7. Helder Ferreira de Mendonça & Vítor Ribeiro Laufer Calafate, 2021. "Lack of fiscal transparency and economic growth expectations: an empirical assessment from a large emerging economy," Empirical Economics, Springer, vol. 61(6), pages 2985-3027, December.
    8. de Mendonça, Helder Ferreira & Díaz, Raime Rolando Rodríguez, 2023. "Can ignorance about the interest rate and macroeconomic surprises affect the stock market return? Evidence from a large emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    9. Gabriel Caldas Montes & Paulo Henrique Lourenço Luna, 2022. "Do fiscal opacity, fiscal impulse, and fiscal credibility affect disagreement about economic growth forecasts? Empirical evidence from Brazil considering the period of political instability and presid," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2356-2393, November.

  54. Konstantin A. Kholodilin & Aleksey Oshchepkov & Boriss Siliverstovs, 2009. "The Russian Regional Convergence Process: Where Does It Go?," Discussion Papers of DIW Berlin 861, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    2. Skorobogatov, Alexander S., 2018. "Why do newer cities promise higher wages in Russia?," Journal of Urban Economics, Elsevier, vol. 104(C), pages 16-34.
    3. Hartmut Lehmann & Maria Giulia Silvagni, 2013. "Is There Convergence of Russia's Regions?: Exploring the Empirical Evidence: 1995–2010," OECD Economics Department Working Papers 1083, OECD Publishing.
    4. Olga A. Demidova, 2014. "The asymmetric spatial effects for eastern and western regions of Russia," HSE Working papers WP BRP 50/EC/2014, National Research University Higher School of Economics.
    5. Gluschenko, Konstantin, 2010. "Methodologies of Analyzing Inter-Regional Income Inequality and Their Applications to Russia," MPRA Paper 66824, University Library of Munich, Germany.
    6. K.P. Glushchenko (glu@ieie.nsc.ru), 2010. "Methodologies of analyzing inter-regional income inequalities," Journal "Region: Economics and Sociology", Institute of Economics and Industrial Engineering of Siberian Branch of RAS, vol. 1.
    7. Alexander S. Skorobogatov, 2016. "Spatial Equilibrium Approach to the Analysis of Income Differentials Across Russian Cities," HSE Working papers WP BRP 149/EC/2016, National Research University Higher School of Economics.
    8. Vera Ivanova, 2015. "The well-being of Russian cities: does location matter?," ERSA conference papers ersa15p956, European Regional Science Association.
    9. Sergei Guriev & Elena Vakulenko, 2012. "Convergence between Russian regions," Working Papers w0180, New Economic School (NES).
    10. Hagemann, Harald & Kufenko, Vadim, 2014. "The political Kuznets curve for Russia: Income inequality, rent seeking regional elites and empirical determinants of protests during 2011/2012," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 39/2013, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    11. Coleman, Stephen, 2010. "The spatial diffusion of social conformity: the case of voting participation," MPRA Paper 23057, University Library of Munich, Germany.
    12. Alexander Myasnikov, 2018. "Analysis of the Determinants of Total Factor Productivity in Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1168-1180.
    13. Anna Bufetova, 2016. "Trends toward the concentration of economic activity and uneven spatial development of Russia," ERSA conference papers ersa16p104, European Regional Science Association.
    14. Lev Freinkman & Konstantin A. Kholodilin & Ulrich Thießen, 2009. "Incentive Effects of Fiscal Equalization: Has Russian Style Improved?," Discussion Papers of DIW Berlin 912, DIW Berlin, German Institute for Economic Research.
    15. World Bank Group, 2017. "Convergence without Equity," World Bank Publications - Reports 30045, The World Bank Group.

  55. Michael Artis & Christian Dreger & Konstantin A. Kholodilin, 2009. "Common and Spatial Drivers in Regional Business Cycles," Discussion Papers of DIW Berlin 859, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Correia, L. & Gouveia, S., 2013. "Business cycle synchronisation at the regional level: evidence for the Portuguese regions," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(1), pages 91-104.
    2. Svatopluk Kapounek & Zuzana Kucerova, 2018. "Historical Decoupling in the EU: Evidence from Time-Frequency Analysis," MENDELU Working Papers in Business and Economics 2018-75, Mendel University in Brno, Faculty of Business and Economics.
    3. Ron Martin & Peter Sunley & Ben Gardiner & Peter Tyler, 2016. "How Regions React to Recessions: Resilience and the Role of Economic Structure," Regional Studies, Taylor & Francis Journals, vol. 50(4), pages 561-585, April.
    4. Hasan Engin Duran, 2014. "Short-Run Dynamics of Income Disparities and Regional Cycle Synchronization in the U.S," Growth and Change, Wiley Blackwell, vol. 45(2), pages 292-332, June.
    5. Jürgen Bierbaumer-Polly, 2012. "Regionale Konjunkturzyklen in Österreich," WIFO Monatsberichte (monthly reports), WIFO, vol. 85(11), pages 833-848, November.
    6. Juergen Bierbaumer-Polly, 2012. "Regional and Sectoral Business Cycles - Key Features for the Austrian economy," EcoMod2012 4074, EcoMod.

  56. Konstantin A. Kholodilin & Maximilian Podstawski & Boriss Siliverstovs & Constantin Bürgi, 2009. "Google Searches as a Means of Improving the Nowcasts of Key Macroeconomic Variables," Discussion Papers of DIW Berlin 946, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Oestmann, Marco & Bennöhr, Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113198, Verein für Socialpolitik / German Economic Association.
    2. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
    3. Azusa Matsumoto & Kohei Matsumura & Noriyuki Shiraki, 2013. "Potential of Search Data in Assessment of Current Economic Conditions," Bank of Japan Research Papers 2013-04-18, Bank of Japan.

  57. Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Do forecasters inform or reassure?," KOF Working papers 09-215, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Katharina Glass & Ulrich Fritsche, 2015. "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series 201406, University of Hamburg, Department of Socioeconomics.
    2. Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
    3. Ullrich Heilemann & Herman O. Stekler, 2013. "Has The Accuracy of Macroeconomic Forecasts for Germany Improved?," German Economic Review, Verein für Socialpolitik, vol. 14(2), pages 235-253, May.
    4. de Mendonça, Helder Ferreira & Baca, Adriana Cabrera, 2022. "Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 69-82.
    5. Helmut Herwartz & Konstantin A. Kholodilin, 2011. "In-Sample and Out-of-Sample Prediction of Stock Market Bubbles: Cross-Sectional Evidence," Discussion Papers of DIW Berlin 1173, DIW Berlin, German Institute for Economic Research.
    6. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    7. Helder Ferreira de Mendonça & Vítor Ribeiro Laufer Calafate, 2021. "Lack of fiscal transparency and economic growth expectations: an empirical assessment from a large emerging economy," Empirical Economics, Springer, vol. 61(6), pages 2985-3027, December.
    8. de Mendonça, Helder Ferreira & Díaz, Raime Rolando Rodríguez, 2023. "Can ignorance about the interest rate and macroeconomic surprises affect the stock market return? Evidence from a large emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    9. Gabriel Caldas Montes & Paulo Henrique Lourenço Luna, 2022. "Do fiscal opacity, fiscal impulse, and fiscal credibility affect disagreement about economic growth forecasts? Empirical evidence from Brazil considering the period of political instability and presid," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2356-2393, November.

  58. Lev Freinkman & Konstantin A. Kholodilin & Ulrich Thießen, 2009. "Incentive Effects of Fiscal Equalization: Has Russian Style Improved?," Discussion Papers of DIW Berlin 912, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Alisher Akhmedjonov & Irina N. Il’ina & Carol S. Leonard & Zafar Nazarov & Evgenij E. Plisetskij & Elena S. Vakulenko, 2013. "Russia’s regions: governance and Well-being, 2000-2008," HSE Working papers WP BRP 42/EC/2013, National Research University Higher School of Economics.
    2. Irina N. Ilina & Carol S. Leonard & Evgenij E. Plisetskij, 2014. "Russian Regional Resilience: Finance, Cooperation And Resource Abundance (A Case Study Of Khanty-Mansiysk)," HSE Working papers WP BRP 15/PA/2014, National Research University Higher School of Economics.
    3. Michael Alexeev, 2016. "Fiscal Incentives in Federations: Russia and the US Compared," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 58(4), pages 485-506, December.
    4. Alexeev, Michael (Алексеев, Майкл) & Mamedov, Arseny (Мамедов, Арсений) & Fomina, Evgenia (Фомина, Евгения) & Deryugin, Alexander (Дерюгин, Александр), 2017. "Influence of the Main Characteristics of Interbudgetary Relations on the Indicators of Economic Development of the Subjects of the Russian Federation [Влияние Основных Характеристик Межбюджетных От," Working Papers 031717, Russian Presidential Academy of National Economy and Public Administration.

  59. Ulrich Thießen & Konstantin A. Kholodilin & Boriss Siliverstovs, 2008. "Does Aging Influence Sectoral Employment Shares?: Evidence from Panel Data," Discussion Papers of DIW Berlin 785, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Alfred Garloff & Carsten Pohl & Norbert Schanne, 2011. "Do smaller labour market entry cohorts really reduce German unemployment?," ERSA conference papers ersa10p658, European Regional Science Association.

  60. Konstantin A. Kholodilin & Alberto Montagnoli & Oreste Napolitano & Boriss Siliverstovs, 2008. "Assessing the Impact of the ECB's Monetary Policy on the Stock Markets: A Sectoral View," Discussion Papers of DIW Berlin 814, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Umut UYAR & Sinem KANGALLI UYAR & Altan GOKCE, 2016. "Gosterge Faiz Orani Dalgalanmalari Ve Bist Endeksleri Arasindaki Iliskinin Esanli Kantil Regresyon Ile Analizi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 16(4), pages 587-598.
    2. Duran, Murat & Özcan, Gülserim & Özlü, Pınar & Ünalmış, Deren, 2012. "Measuring the impact of monetary policy on asset prices in Turkey," Economics Letters, Elsevier, vol. 114(1), pages 29-31.
    3. Ivan Hajdukovic, 2022. "Transmission mechanisms of conventional and unconventional monetary policies in open economies," Post-Print hal-03912666, HAL.
    4. Helmut Lütkepohl & Aleksei Netšunajev, 2018. "The Relation between Monetary Policy and the Stock Market in Europe," Econometrics, MDPI, vol. 6(3), pages 1-14, August.
    5. Wang, Shen & Mayes, David G., 2012. "Monetary policy announcements and stock reactions: An international comparison," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 145-164.
    6. Giannitsarou, Chryssi & CHALLE, Edouard, 2011. "Stock Prices and Monetary Policy Shocks: A General Equilibrium Approach," CEPR Discussion Papers 8387, C.E.P.R. Discussion Papers.
    7. Nave, Juan M. & Ruiz, Javier, 2015. "Risk aversion and monetary policy in a global context," Journal of Financial Stability, Elsevier, vol. 20(C), pages 14-35.
    8. Chatziantoniou, Ioannis & Duffy, David & Filis, George, 2013. "Stock market response to monetary and fiscal policy shocks: Multi-country evidence," Economic Modelling, Elsevier, vol. 30(C), pages 754-769.
    9. Küçükkocaoğlu, Güray & Ünalmış, Deren & Ünalmış, İbrahim, 2013. "How do banks' stock returns respond to monetary policy committee announcements in Turkey? Evidence from traditional versus new monetary policy episodes," Economic Modelling, Elsevier, vol. 35(C), pages 536-545.
    10. Murat Duran & Gulserim Ozcan & Pinar Ozlu & Deren Unalmis, 2010. "Measuring the Impact of Monetary Policy on Asset Prices in Turkey (Turkiye�de Para Politikasinin Finansal Varlik Fiyatlari Uzerine Etkisi)," Working Papers 1017, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    11. Prabu A, Edwin & Bhattacharyya, Indranil & Ray, Partha, 2016. "Is the stock market impervious to monetary policy announcements: Evidence from emerging India," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 166-179.
    12. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    13. Murat Duran & Pinar Ozlu & Deren Unalmis, 2010. "TCMB Faiz Kararlarinin Hisse Senedi Piyasalari Uzerine Etkisi," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 10(2), pages 23-32.
    14. Mobeen Ur Rehman & Wafa Ghardallou & Nasir Ahmad & Xuan Vinh Vo & Sang Hoon Kang, 2024. "Does effect of risk and uncertainties on US sectoral returns differ across different investment horizons and market conditions," Risk Management, Palgrave Macmillan, vol. 26(1), pages 1-49, February.
    15. Shan, Yimin & Chen, Yang & Xiao, Yajun, 2023. "Monetary policy as market stabilizer in the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 55(PB).
    16. Guray Kucukkocaoglu & Deren Unalmis & Ibrahim Unalmis, 2013. "How do Banks� Stock Returns Respond to Monetary Policy Committee Announcements in Turkey? Evidence from Traditional versus New Monetary Policy Episodes," Working Papers 1330, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    17. Muhammad Ali Nasir & Alaa M. Soliman, 2014. "Aspects of Macroeconomic Policy Combinations and Their Effects on Financial Markets," Economic Issues Journal Articles, Economic Issues, vol. 19(1), pages 95-118, March.
    18. Haitsma, Reinder & Unalmis, Deren & de Haan, Jakob, 2016. "The impact of the ECB's conventional and unconventional monetary policies on stock markets," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 101-116.
    19. Bernd Hayo & Britta Niehof, 2011. "Identification Through Heteroscedasticity in a Multicountry and Multimarket Framework," MAGKS Papers on Economics 201124, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    20. Tang, Yong & Luo, Yong & Xiong, Jie & Zhao, Fei & Zhang, Yi-Cheng, 2013. "Impact of monetary policy changes on the Chinese monetary and stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4435-4449.
    21. Unalmis, Deren & Unalmis, Ibrahim, 2015. "The Effects of Conventional and Unconventional Monetary Policy Surprises on Asset Markets in the United States," MPRA Paper 62585, University Library of Munich, Germany.
    22. Shin-ichi Fukuda & Mariko Tanaka, 2022. "The Effects of Large-scale Equity Purchases during the Coronavirus Pandemic," CIRJE F-Series CIRJE-F-1186, CIRJE, Faculty of Economics, University of Tokyo.
    23. Mészáros Mercédesz & Kiss Gábor Dávid, 2020. "Spillover effects of unconventional monetary policy on capital markets in the shadow of the Eurozone: A sample of non-Eurozone countries," Review of Economic Perspectives, Sciendo, vol. 20(2), pages 171-195, June.

  61. Christian Dreger & Konstantin Kholodilin & Kirsten Lommatzsch & Jiri Slacalek & Przemyslaw Wozniak, 2007. "Price Convergence in the Enlarged Internal Market," Discussion Papers of DIW Berlin 730, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Richard Pospisil & Jarmila Koudelkova, 2016. "Price Convergence to the EU: Some Evidence for the Czech Republic," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 4(2), pages 32-38, November.
    2. Joanna Wolszczak-Derlacz & Rembert De Blander, 2009. "Price convergence in the European Union and in the New Member States," Bank i Kredyt, Narodowy Bank Polski, vol. 40(2), pages 37-59.
    3. Václav Žďárek, 2011. "Empirická analýza průběhu cenové konvergence ČR a nových členských zemí EU k eurozóně [An Empirical Analysis of Price Convergence of the Czech Republic and the New EU Member States towards the Euro," Politická ekonomie, Prague University of Economics and Business, vol. 2011(4), pages 454-474.
    4. Christian Dreger & Eric Girardin, 2007. "Does the Nominal Exchange Rate Regime Affect the Long Run Properties of Real Exchange Rates?," Discussion Papers of DIW Berlin 746, DIW Berlin, German Institute for Economic Research.
    5. Cassetta, Ernesto & Nava, Consuelo R. & Zoia, Maria Grazia, 2022. "A three-step procedure to investigate the convergence of electricity and natural gas prices in the European Union," Energy Economics, Elsevier, vol. 105(C).
    6. Marina Glushenkova & Marios Zachariadis, 2014. "Law-of-One-Price Deviations Before and After the Euro: The case of Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 8(2), pages 61-85, December.
    7. Marina Glushenkova & Marios Zachariadis, 2014. "Understanding Law-of-One-Price Deviations across Europe Before and After the Euro," University of Cyprus Working Papers in Economics 01-2014, University of Cyprus Department of Economics.
    8. Leon Podkaminer, 2013. "Persistent gaps between purchasing power parities and exchange rates under the law of one price: a puzzle (partly) explained?," Bank i Kredyt, Narodowy Bank Polski, vol. 44(4), pages 333-352.
    9. Jan-Egbert Sturm & Ulrich Fritsche & Michael Graff & Michael Lamla & Sarah Lein & Volker Nitsch & David Liechti & Daniel Triet, 2009. "The euro and prices: changeover-related inflation and price convergence in the euro area," European Economy - Economic Papers 2008 - 2015 381, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. Fousekis, Panos & Grigoriadis, Vasilis, 2019. "Integration and Hierarchy of Pork Markets in the EU: An Analysis from the Vantage of Graph Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    11. Vojtěch Spěváček & Růžena Vintrová & Eva Zamrazilová & Mojmír Hájek & Václav Žďárek, 2008. "Česká ekonomika po vstupu do Evropské unie [The czech economy after its entry into European Union]," Politická ekonomie, Prague University of Economics and Business, vol. 2008(3), pages 291-317.
    12. Cassetta, Ernesto & Nava, Consuelo R. & Zoia, Maria Grazia, 2022. "EU electricity market integration and cross-country convergence in residential and industrial end-user prices," Energy Policy, Elsevier, vol. 165(C).
    13. Hałka, Aleksandra & Leszczyńska-Paczesna, Agnieszka, 2019. "Price convergence in the European Union – What has changed?," Economic Modelling, Elsevier, vol. 79(C), pages 226-241.
    14. Martijn Brons & Fotios Kalantzis & Lucia Vergano, 2019. "Market Functioning & Market Integration in EU Network Industries – Telecommunications, Energy & Transport," European Economy - Discussion Papers 111, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    15. Sascha S. Becker, 2011. "What Drives the Relationship Between Inflation and Price Dispersion? Market Power vs. Price Rigidity," SFB 649 Discussion Papers SFB649DP2011-019, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

  62. Konstantin A. Kholodilin & Jan-Oliver Menz & Boriss Siliverstovs, 2007. "What Drives Housing Prices Down?: Evidence from an International Panel," Discussion Papers of DIW Berlin 758, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Lenarčič, Črt & Zorko, Robert & Herman, Uroš & Savšek, Simon, 2016. "A Primer on Slovene House Prices Forecast," MPRA Paper 103552, University Library of Munich, Germany.
    2. Stefan Kooths & Matthias Rieger, 2008. "Caught in the US Subprime Meltdown 2007/2008: Germany Loses Its Wallet but Escapes Major Harm," Discussion Papers of DIW Berlin 825, DIW Berlin, German Institute for Economic Research.
    3. Zhu, Bing & Betzinger, Michael & Sebastian, Steffen, 2017. "Housing market stability, mortgage market structure, and monetary policy: Evidence from the euro area," Journal of Housing Economics, Elsevier, vol. 37(C), pages 1-21.
    4. Antje Hildebrandt & Duy T. Huynh-Olesen & Katharina Steiner & Karin Wagner, 2013. "Residential Property Prices in Central, Eastern and Southeastern European Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 52-76.
    5. Konstantin A. Kholodilin & Andreas Mense, 2011. "Can Internet Ads Serve as an Indicator of Homeownership Rates?," Discussion Papers of DIW Berlin 1168, DIW Berlin, German Institute for Economic Research.
    6. Dreger, Christian & Kholodilin, Konstantin A., 2013. "An early warning system to predict speculative house price bubbles," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-26.
    7. Koetter, Michael & Poghosyan, Tigran, 2010. "Real estate prices and bank stability," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1129-1138, June.
    8. Konstantin A. Kholodilin & Andreas Mense, 2012. "Internet-Based Hedonic Indices of Rents and Prices for Flats: Example of Berlin," Discussion Papers of DIW Berlin 1191, DIW Berlin, German Institute for Economic Research.
    9. Karaman Örsal, Deniz Dilan, 2014. "Do the global stochastic trends drive the real house prices in OECD countries?," Economics Letters, Elsevier, vol. 123(1), pages 9-13.
    10. Samya Beidas-Strom & Weicheng Lian & Ashwaq Maseeh, 2009. "The Housing Cycle in Emerging Middle Eastern Economies and its Macroeconomic Policy Implications," IMF Working Papers 2009/288, International Monetary Fund.
    11. Christian Dreger & Konstantin A. Kholodilin, 2011. "An Early Warning System to Predict the House Price Bubbles," Discussion Papers of DIW Berlin 1142, DIW Berlin, German Institute for Economic Research.
    12. Maximilian Zurek, 2022. "Real Estate Markets and Lending: Does Local Growth Fuel Risk?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 62(1), pages 27-59, October.
    13. Sören Gröbel, 2018. "Regional heterogeneity in age-related housing depreciation rates [Regionale Heterogenität altersbedingter Wertminderungen von Wohnimmobilien]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(2), pages 219-254, October.
    14. Tomal Mateusz, 2019. "The Impact of Macro Factors on Apartment Prices in Polish Counties: A Two-Stage Quantile Spatial Regression Approach," Real Estate Management and Valuation, Sciendo, vol. 27(4), pages 1-14, December.

  63. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    2. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    3. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2014. "The effects of scale, space and time on the predictive accuracy of land use models," Working Papers 2014/02, INRA, Economie Publique.
    4. Wozniak Marcin, 2020. "Forecasting the unemployment rate over districts with the use of distinct methods," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    5. Hampel, Katharina & Kunz, Marcus & Schanne, Norbert & Wapler, Rüdiger & Weyh, Antje, 2007. "Regional employment forecasts with spatial interdependencies," IAB-Discussion Paper 200702, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Wenzel, Lars & Wolf, André, 2013. "Short-term forecasting with business surveys: Evidence for German IHK data at federal state level," HWWI Research Papers 140, Hamburg Institute of International Economics (HWWI).
    8. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Centre for Economic Performance, LSE.
    9. Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
    10. M. Mayer & R. Patuelli, 2013. "Spatial Panel Data Forecasting over Different Horizons, Cross-Sectional and Temporal Dimensions," Working Papers wp899, Dipartimento Scienze Economiche, Universita' di Bologna.
    11. Valerij Gamukin, 2017. "Structural Change of Gross Regional Product in the Subjects of Ural Federal District," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 410-421.
    12. Robert Lehmann & Klaus Wohlrabe, 2014. "Regional economic forecasting: state-of-the-art methodology and future challenges," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 218-231.
    13. A. M. Angulo & J. Mur & F. J. Trívez, 2018. "Measuring resilience to economic shocks: an application to Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 349-373, March.
    14. Girardin, Eric & Kholodilin, Konstantin A., 2010. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," BOFIT Discussion Papers 15/2010, Bank of Finland Institute for Emerging Economies (BOFIT).
    15. Jiao, Xiaoying & Chen, Jason Li & Li, Gang, 2021. "Forecasting tourism demand: Developing a general nesting spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 90(C).
    16. Matías Mayor & Roberto Patuelli, 2012. "Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions," Working Paper series 15_12, Rimini Centre for Economic Analysis, revised Oct 2012.
    17. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    18. Robert Lehmann & Klaus Wohlrabe, 2012. "Forecasting GDP at the Regional Level with Many Predictors," CESifo Working Paper Series 3956, CESifo.
    19. Joachim Ragnitz & Stefan Arent & Wolfgang Nierhaus & Beate Schirwitz & Johannes Steinbrecher & Gerit Vogt & Björn Ziegenbalg, 2010. "Methodenexpertise zur Analyse der Auswirkungen der internationalen Finanz- und Wirtschaftskrise auf die Wirtschaft im Land Brandenburg : Gutachten im Auftrag des Ministeriums für Wirtschaft des Landes," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 53.
    20. Barbara Batóg & Jacek Batóg, 2021. "Regional Government Revenue Forecasting: Risk Factors of Investment Financing," Risks, MDPI, vol. 9(12), pages 1-15, November.
    21. Robert Lehmann & Klaus Wohlrabe, 2012. "Forecast of Gross Domestic Product at a Regional Level," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(21), pages 17-23, November.
    22. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
    23. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2021. "Forecasting Regional GDPs: a Comparison with Spatial Dynamic Panel Data Models," FBK-IRVAPP Working Papers 2021-02, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    24. Dent, Kieran & Hacıoğlu Hoke, Sinem & Panagiotopoulos, Apostolos, 2021. "Solvency and wholesale funding cost interactions at UK banks," Journal of Financial Stability, Elsevier, vol. 52(C).
    25. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    26. V. Gamukin V. & В. Гамукин В., 2018. "Управление структурой валового регионального продукта в субъектах Южного федерального округа // Managing the Gross Regional Product Structure in the Territorial Subjects of the Southern Federal Distri," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 8(2), pages 18-29.
    27. Baltagi, Badi H. & Pirotte, Alain, 2014. "Prediction in a spatial nested error components panel data model," International Journal of Forecasting, Elsevier, vol. 30(3), pages 407-414.
    28. Xueting Zhao & J. Burnett, 2014. "Forecasting province-level $${\text {CO}}_{2}$$ CO 2 emissions in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 171-183, October.
    29. Wenzel, Lars, 2013. "Forecasting regional growth in Germany: A panel approach using business survey data," HWWI Research Papers 133, Hamburg Institute of International Economics (HWWI).
    30. Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones?," ifo Working Paper Series 171, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    31. Robert Lehmann & Sascha Möhrle, 2022. "Forecasting Regional Industrial Production with High-Frequency Electricity Consumption Data," CESifo Working Paper Series 9917, CESifo.
    32. You, Jing & Huang, Yongfu, 2013. "Green-to-Grey China: Determinants and Forecasts of its Green Growth," MPRA Paper 57468, University Library of Munich, Germany, revised 16 Jul 2014.
    33. J. Elhorst, 2012. "Dynamic spatial panels: models, methods, and inferences," Journal of Geographical Systems, Springer, vol. 14(1), pages 5-28, January.
    34. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    35. 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.
    36. Yang, Yang & Zhang, Honglei, 2019. "Spatial-temporal forecasting of tourism demand," Annals of Tourism Research, Elsevier, vol. 75(C), pages 106-119.
    37. Andrey V. Polbin & Andrey V. Shumilov, 2022. "Forecasting Output Growth of Russian Manufacturing Industries Using Panel Data Models [Об Использовании Моделей Панельных Данных Для Прогнозирования Темпов Роста Отраслей Российской Обрабатывающей ," Russian Economic Development, Gaidar Institute for Economic Policy, issue 2, pages 15-19, February.
    38. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    39. Konstantin Kuck & Karsten Schweikert, 2021. "Forecasting Baden‐Württemberg's GDP growth: MIDAS regressions versus dynamic mixed‐frequency factor models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 861-882, August.
    40. Robert Lehmann, 2023. "READ-GER: Introducing German Real-Time Regional Accounts Data for Revision Analysis and Nowcasting," CESifo Working Paper Series 10315, CESifo.
    41. Konstantin A. Kholodilin & Andreas Mense, 2012. "Forecasting the Prices and Rents for Flats in Large German Cities," Discussion Papers of DIW Berlin 1207, DIW Berlin, German Institute for Economic Research.
    42. Andrey V. Polbin & Andrey V. Shumilov, 2022. "Об Использовании Моделей Панельных Данных Для Прогнозирования Темпов Роста Отраслей Российской Обрабатывающей Промышленности," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 2, pages 15-19, February.

  64. Konstantin A. Kholodilin, 2006. "Using the Dynamic Bi-Factor Model with Markov Switching to Predict the Cyclical Turns in the Large European Economies," Discussion Papers of DIW Berlin 554, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Catherine Doz & Anna Petronevich, 2015. "Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach," Documents de travail du Centre d'Economie de la Sorbonne 15009, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    2. Konstantin A. Kholodilin & Erik Klär, 2007. "Dem Konjunkturzyklus auf der Spur: zur Prognose konjunktureller Wendepunkte in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(4), pages 8-20.

  65. Boriss Siliverstovs & Konstantin A. Kholodilin, 2006. "On Selection of Components for a Diffusion Index Model: It's not the Size, It's How You Use It," Discussion Papers of DIW Berlin 598, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    2. Siliverstovs Boriss & Kholodilin Konstantin A., 2012. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
    3. Konstantin Kholodilin & Boriss Siliverstovs, 2010. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP," KOF Working papers 10-251, KOF Swiss Economic Institute, ETH Zurich.
    4. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.

  66. Sule Akkoyunlu & Konstantin A. Kholodilin, 2006. "What Affects the Remittances of Turkish Workers: Turkish or German Output?," Discussion Papers of DIW Berlin 622, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Bettin, Giulia & Paçacı Elitok, Seçil & Straubhaar, Thomas, 2012. "Causes and consequences of the downturn in financial remittances to Turkey: A descriptive approach," Edition HWWI: Chapters, in: Paçacı Elitok, Seçil & Straubhaar, Thomas (ed.), Turkey, migration and the EU, volume 5, pages 133-166, Hamburg Institute of International Economics (HWWI).
    2. Imran Khan & Darshita Fulara Gunwant, 2023. "Is the remittance inflow to the Turkish economy sustainable? A glimpse of the future through the lens of the past," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 25(1), pages 34-51, June.
    3. Deodat E. Adenutsi & Meshach J. Aziakpono & Matthew K. Ocran, 2011. "The Changing Impact Of Macroeconomic Environment On Remittance Inflows In Sub-Saharan Africa," Journal of Academic Research in Economics, Spiru Haret University, Faculty of Accounting and Financial Management Constanta, vol. 3(2 (July)), pages 136-167.
    4. Abbas, Shujaat, 2020. "Impact of oil prices on remittances to Pakistan from GCC countries: evidence from panel asymmetric analysis," MPRA Paper 107246, University Library of Munich, Germany.
    5. Akira Shimada, 2012. "Migration decisions, expected remittances, and altruism," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 59(3), pages 285-296, September.
    6. Farid Makhlouf, 2014. "Propriétés cycliques des transferts de fonds des migrants marocains," Working Papers hal-01885146, HAL.
    7. Farid Makhlouf, 2014. "Propriétés cycliques des transferts de fonds des migrants marocains," Working papers of CATT hal-01885146, HAL.
    8. Karla Borja, 2012. "The Impact Of The Us Recession On Immigrant Remittances In Central America," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 1-24.

  67. André, NYEMBWE & Konstantin, KHOLODILIN, 2005. "North-South Asymmetric Relationships : Does the EMU Business Affect Small African Economies ?," Discussion Papers (ECON - Département des Sciences Economiques) 2005032, Université catholique de Louvain, Département des Sciences Economiques.

    Cited by:

    1. James N. Blignaut & Jan H. van Heerden, 2015. "Is Water Shedding Next?," Working Papers 50, Economic Research Southern Africa.
    2. Alain Kabundi, 2009. "Synchronisation Between South Africa And The U.S.: A Structural Dynamic Factor Analysis," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 1-27, March.

  68. Konstantin A. Kholodilin & Boriss Siliverstovs, 2005. "On the Forecasting Properties of the Alternative Leading Indicators for the German GDP: Recent Evidence," Discussion Papers of DIW Berlin 522, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    3. Jens J. Krüger, 2021. "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 293-319, December.
    4. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
    5. Christina Ziegler, 2009. "Testing Predicitive Ability of Business Cycle Indicators for the Euro Area," ifo Working Paper Series 69, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
    7. Klaus Abberger & Gebhard Flaig & Wolfgang Nierhaus, 2007. "ifo Konjunkturumfragen und Konjunkturanalyse : ausgewählte methodische Aufsätze aus dem ifo Schnelldienst," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 33.
    8. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.
    9. Shirly Siew-Ling Wong & Toh-Hao Tan & Shazali Abu Mansor & Venus Khim-Sen Liew, 2018. "Rethinking and Moving Beyond GDP: A New Measure of Sarawak Economy Panorama," International Business Research, Canadian Center of Science and Education, vol. 11(12), pages 127-133, December.
    10. Christian Seiler, 2013. "Nonresponse in Business Tendency Surveys: Theoretical Discourse and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 52.
    11. Siliverstovs Boriss & Kholodilin Konstantin A., 2012. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
    12. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
    13. Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
    14. Christian Aßmann & Jens Hogrefe & Roman Liesenfeld, 2009. "The decline in German output volatility: a Bayesian analysis," Empirical Economics, Springer, vol. 37(3), pages 653-679, December.
    15. Dreger, Christian & Kholodilin, Konstantin A. & Ulbricht, Dirk & Fidrmuc, Jarko, 2016. "Between the hammer and the anvil: The impact of economic sanctions and oil prices on Russia’s ruble," Journal of Comparative Economics, Elsevier, vol. 44(2), pages 295-308.
    16. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    17. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    18. Staszewska-Bystrova Anna, 2013. "Modified Scheffé’s Prediction Bands," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(5-6), pages 680-690, October.
    19. Drechsel, Katja & Scheufele, Rolf, 2010. "Should We Trust in Leading Indicators? Evidence from the Recent Recession," IWH Discussion Papers 10/2010, Halle Institute for Economic Research (IWH).
    20. Christian Seiler, 2014. "The determinants of unit non-response in the Ifo Business Survey," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 8(3), pages 161-177, September.
    21. Robert Lehmann & Klaus Wohlrabe, 2012. "Forecasting GDP at the Regional Level with Many Predictors," CESifo Working Paper Series 3956, CESifo.
    22. Heinisch Katja & Scheufele Rolf, 2019. "Should Forecasters Use Real-Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence," German Economic Review, De Gruyter, vol. 20(4), pages 170-200, December.
    23. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe & Sascha O. Becker, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang," ifo Working Paper Series 44, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    24. Konstantin Kholodilin & Boriss Siliverstovs, 2010. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP," KOF Working papers 10-251, KOF Swiss Economic Institute, ETH Zurich.
    25. Drechsel, Katja & Scheufele, Rolf, 2011. "The Financial Crisis from a Forecaster’s Perspective," IWH Discussion Papers 5/2011, Halle Institute for Economic Research (IWH).
    26. Christian Dreger & Jarko Fidrmuc & Konstantin Kholodilin & Dirk Ulbricht, 2015. "The Ruble between the Hammer and the Anvil: Oil Prices and Economic Sanctions," Discussion Papers of DIW Berlin 1488, DIW Berlin, German Institute for Economic Research.
    27. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    28. Wong, Shirly Siew-Ling & Puah, Chin-Hong & Abu Mansor, Shazali & Liew, Venus Khim-Sen, 2012. "Early warning indicator of economic vulnerability," MPRA Paper 39944, University Library of Munich, Germany.
    29. Henzel Steffen R. & Wohlrabe Klaus & Lehmann Robert, 2015. "Nowcasting Regional GDP: The Case of the Free State of Saxony," Review of Economics, De Gruyter, vol. 66(1), pages 71-98, April.
    30. Selen Baser Andic & Fethi Ogunc, 2015. "Variable Selection for Inflation : A Pseudo Out-of-sample Approach," Working Papers 1506, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    31. Dovern, Jonas, 2006. "Predicting GDP components: do leading indicators increase predictability?," Kiel Advanced Studies Working Papers 436, Kiel Institute for the World Economy (IfW Kiel).
    32. Anna Sophia Ciesielski & Klaus Wohlrabe, 2011. "Sector-based Forecasts in Manufacturing," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(22), pages 27-35, November.
    33. Jan Grossarth-Maticek & Johannes Mayr, 2008. "Media reports as an economic activity indicator," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(07), pages 17-29, April.
    34. Robert Lehmann & Magnus Reif, 2021. "Predicting the German Economy: Headline Survey Indices Under Test," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 215-232, November.
    35. Drechsel, Katja & Scheufele, Rolf, 2012. "The performance of short-term forecasts of the German economy before and during the 2008/2009 recession," International Journal of Forecasting, Elsevier, vol. 28(2), pages 428-445.
    36. Christian Seiler, 2012. "On the Robustness of the Balance Statistics with respect to Nonresponse," ifo Working Paper Series 126, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    37. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    38. Klaus Wohlrabe, 2011. "Konstruktion von Indikatoren zur Analyse der wirtschaftlichen Aktivität in den Dienstleistungsbereichen," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 55.
    39. Dovern, Jonas & Ziegler, Christina, 2008. "Predicting growth rates and recessions: assessing US leading indicators under real-time conditions," Kiel Working Papers 1397, Kiel Institute for the World Economy (IfW Kiel).
    40. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    41. Sascha Becker & Klaus Wohlrabe & Sascha O. Becker, 2007. "Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," ifo Working Paper Series 47, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    42. Heinisch, Katja, 2016. "A real-time analysis on the importance of hard and soft data for nowcasting German GDP," VfS Annual Conference 2016 (Augsburg): Demographic Change 145864, Verein für Socialpolitik / German Economic Association.
    43. Klaus Abberger & Klaus Wohlrabe, 2006. "Forecasting qualities of the Ifo Business Climate Index - a look at recent studies," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
    44. Kitlinski, Tobias, 2015. "With or without you: Do financial data help to forecast industrial production?," Ruhr Economic Papers 558, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    45. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
    46. Vogt Gerit, 2007. "Analyse der Prognoseeigenschaften von ifo-Konjunkturindikatoren unter Echtzeitbedingungen / The Forecasting Performance of ifo-indicators Under Real-time Conditions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 87-101, February.

  69. Vincent, BODART & Konstantin, KHOLODILIN & Fati, SHADMAN-MEHTA, 2005. "Identifying and Forecasting the Turning Points of the Belgian Business Cycle with Regime-Switching and Logit Models," Discussion Papers (ECON - Département des Sciences Economiques) 2005006, Université catholique de Louvain, Département des Sciences Economiques.

    Cited by:

    1. Shirly Siew-Ling Wong & Toh-Hao Tan & Shazali Abu Mansor & Venus Khim-Sen Liew, 2018. "Rethinking and Moving Beyond GDP: A New Measure of Sarawak Economy Panorama," International Business Research, Canadian Center of Science and Education, vol. 11(12), pages 127-133, December.
    2. Bruno, Giancarlo & Otranto, Edoardo, 2008. "Models to date the business cycle: The Italian case," Economic Modelling, Elsevier, vol. 25(5), pages 899-911, September.
    3. Legrand, Romain, 2014. "Euro introduction: Has there been a structural change? Study on 10 European Union countries," Economic Modelling, Elsevier, vol. 40(C), pages 136-151.

  70. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    3. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    4. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    5. Beate Schirwitz, 2013. "Business Fluctuations, Job Flows and Trade Unions - Dynamics in the Economy," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 47.
    6. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.

  71. Konstantin A., KHOLODILIN & Wension Vincent, YAO, 2004. "Business Cycle Turning Points : Mixed-Frequency Data with Structural Breaks," LIDAM Discussion Papers IRES 2004024, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).

    Cited by:

    1. Catherine Doz & Anna Petronevich, 2015. "Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach," Documents de travail du Centre d'Economie de la Sorbonne 15009, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.

  72. Vincent, BODART & Konstantin A., KHOLODILIN & Fati, SHADMAN-MEHTA, 2003. "Dating and Forecasting the Belgian Business Cycle," LIDAM Discussion Papers IRES 2003018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).

    Cited by:

    1. Wong, Shirly Siew-Ling & Puah, Chin-Hong & Abu Mansor, Shazali & Liew, Venus Khim-Sen, 2012. "Early warning indicator of economic vulnerability," MPRA Paper 39944, University Library of Munich, Germany.
    2. Craigwell, Roland & Maurin, Alain, 2007. "A sectoral analysis of Barbados’ GDP business cycle," MPRA Paper 33428, University Library of Munich, Germany.
    3. Juergen Bierbaumer-Polly, 2012. "Regional and Sectoral Business Cycles - Key Features for the Austrian economy," EcoMod2012 4074, EcoMod.

  73. Konstantin, KHOLODILIN, 2002. "Two Alternative Approaches to Modelling the Nonlinear Dynamics of the Composite Economic Indicator," LIDAM Discussion Papers IRES 2002027, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).

    Cited by:

    1. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.
    2. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.
    3. Catherine Doz & Anna Petronevich, 2015. "Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach," Documents de travail du Centre d'Economie de la Sorbonne 15009, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Konstantin A. Kholodilin, 2006. "Using the Dynamic Bi-Factor Model with Markov Switching to Predict the Cyclical Turns in the Large European Economies," Discussion Papers of DIW Berlin 554, DIW Berlin, German Institute for Economic Research.
    5. Konstantin A., Kholodilin, 2003. "Identifying and Forecasting the Turns of the Japanese Business Cycle," LIDAM Discussion Papers IRES 2003008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).

  74. Konstantin A. KHOLODILIN, 2001. "Markov-Switching Common Dynamic Factor Model with Mixed-Frequency Data," LIDAM Discussion Papers IRES 2001020, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).

    Cited by:

    1. Paul Viefers, 2011. "Bayesian Inference for the Mixed-Frequency VAR Model," Discussion Papers of DIW Berlin 1172, DIW Berlin, German Institute for Economic Research.

Articles

  1. Kholodilin, Konstantin A. & Limonov, Leonid E. & Waltl, Sofie R., 2021. "Housing rent dynamics and rent regulation in St. Petersburg (1880–1917)," Explorations in Economic History, Elsevier, vol. 81(C).
    See citations under working paper version above.
  2. Claus Michelsen & Paul Berenberg-Gossler & Marius Clemens & Max Hanisch & Simon Junker & Konstantin A. Kholodilin & Laura Pagenhardt, 2021. "Deutsche Wirtschaft zwischen Lockdown und Normalität: Grundlinien der Wirtschaftsentwicklung im Frühjahr 2021," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 88(11), pages 190-208.

    Cited by:

    1. Geyer, Johannes, 2021. "Die Folgen der Corona-Krise für die Anwartschaften an die gesetzliche Rentenversicherung," Working Paper Forschungsförderung 216, Hans-Böckler-Stiftung, Düsseldorf.

  3. Anja M. Hahn & Konstantin A. Kholodilin & Sofie R. Waltl, 2021. "Die unmittelbaren Auswirkungen des Berliner Mietendeckels: Wohnungen günstiger, aber schwieriger zu finden," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 88(8), pages 117-124.

    Cited by:

    1. Hager, Anselm & Hilbig, Hanno & Vief, Robert, 2022. "Does Rent Control Turn Tenants Into NIMBYs?," OSF Preprints kwjem, Center for Open Science.
    2. Gert G. Wagner, 2021. "Polit-ökonomische Aspekte des Berichts zur Lage der Verbraucher:innen [Political-Economic Aspects of the Report on the Position of Consumers by the Advisory Council for Consumer Affairs (SVRV)]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(6), pages 473-480, June.
    3. Anja M. Hahn & Konstantin A. Kholodilin & Sofie R. Waltl, 2021. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Discussion Papers of DIW Berlin 1928, DIW Berlin, German Institute for Economic Research.
    4. Eisfeld, Rupert-Klaas & Just, Tobias, . "Die Auswirkungen der COVID-19-Pandemie auf die deutschen Wohnungsmärkte. Eine Studie im Auftrag der Hans-Böckler-Stiftung," Beiträge zur Immobilienwirtschaft, University of Regensburg, Department of Economics, number 26.
    5. Anja Hahn & Konstantin Kholodilin & Sofie Waltl & Marco Fongoni, 2023. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Post-Print hal-04133694, HAL.

  4. Claus Michelsen & Marius Clemens & Max Hanisch & Simon Junker & Konstantin A. Kholodilin & Laura Pagenhardt & Thore Schlaak, 2020. "Deutsche Wirtschaft: Schleppende Erholung nach tiefem Fall: Grundlinien der Wirtschaftsentwicklung im Sommer 2020," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 87(24), pages 420-436.

    Cited by:

    1. Marcel Fratzscher & Claus Michelsen, 2020. "Wirtschaftspolitik in der Corona-Krise: Stabilisierung muss durch eine kluge Transformationspolitik ergänzt werden," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(7), pages 484-489, July.

  5. Kholodilin, Konstantin, 2020. "Long-Term, Multicountry Perspective on Rental Market Regulations," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 30(6), pages 994-1015.

    Cited by:

    1. Stefano Colonnello & Roberto Marfè & Qizhou Xiong, 2021. "Housing Yields," Working Papers 2021:21, Department of Economics, University of Venice "Ca' Foscari", revised 2021.
    2. Konstantin A. Kholodilin & Sebastian Kohl, 2021. "Rent Price Control – Yet Another Great Equalizer of Economic Inequalities?: Evidence from a Century of Historical Data," Discussion Papers of DIW Berlin 1927, DIW Berlin, German Institute for Economic Research.
    3. Konstantin A. Kholodilin & Sebastian Kohl & Florian Müller, 2023. "Government-Made House Price Bubbles? Austerity, Homeownership, Rental, and Credit Liberalization Policies and the “Irrational Exuberance” on Housing Markets," Discussion Papers of DIW Berlin 2061, DIW Berlin, German Institute for Economic Research.
    4. Francisco Amaral & Martin Dohmen & Sebastian Kohl & Moritz Schularick, 2021. "Superstar Returns," Working Papers hal-03881493, HAL.
    5. N. Denisa Naidin & Sofie R. Waltl & Michael H. Ziegelmeyer, 2022. "Objectified Housing Sales and Rent Prices in Representative Household Surveys: the Impact on Macroeconomic Statistics," BCL working papers 160, Central Bank of Luxembourg.
    6. Kholodilin, Konstantin A. & Kohl, Sebastian & Müller, Florian, 2022. "The rise and fall of social housing? Housing decommodification in long-run perspective," MPIfG Discussion Paper 22/3, Max Planck Institute for the Study of Societies.
    7. Luís Mendes, 2022. "The Dysfunctional Rental Market in Portugal: A Policy Review," Land, MDPI, vol. 11(4), pages 1-17, April.
    8. Konstantin A. Kholodilin & Fernando A. López & David Rey Blanco & Pelayo González Arbués, 2022. "Lessons from an Aborted Second-Generation Rent Control in Catalonia," Discussion Papers of DIW Berlin 2008, DIW Berlin, German Institute for Economic Research.
    9. Anja M. Hahn & Konstantin A. Kholodilin & Sofie R. Waltl, 2021. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Discussion Papers of DIW Berlin 1928, DIW Berlin, German Institute for Economic Research.
    10. Eugeniya Malinskaya & Konstantin A. Kholodilin, 2022. "Stimulating Housing Policy and Housing Tenure Choice: Evidence from the G7 Countries," Discussion Papers of DIW Berlin 1997, DIW Berlin, German Institute for Economic Research.
    11. Anja Hahn & Konstantin Kholodilin & Sofie Waltl & Marco Fongoni, 2023. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Post-Print hal-04133694, HAL.

  6. Claus Michelsen & Marius Clemens & Max Hanisch & Simon Junker & Konstantin A. Kholodilin & Thore Schlaak, 2020. "Deutsche Wirtschaft: Corona-Virus stürzt deutsche Wirtschaft in eine Rezession: Grundlinien der Wirtschaftsentwicklung im Frühjahr 2020," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 87(12), pages 206-229.

    Cited by:

    1. Jan Philipp Fritsche & Patrick Christian Harms, 2020. "Corona-Krise: (Wirtschafts-)politische Perspektiven [Fix the Supply Side! Demand Stimulus Will Not Cure What Ails]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(4), pages 266-271, April.
    2. Axel Börsch-Supan & Johannes Rausch, 2020. "Coronavirus Pandemic: Effects on Statutory Pension Insurance," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(04), pages 36-43, April.

  7. Konstantin A. Kholodilin & Claus Michelsen, 2020. "Wohnungsmarkt in Deutschland: Trotz Krise steigende Immobilienpreise, Gefahr einer flächendeckenden Preisblase aber gering," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 87(37), pages 642-652.

    Cited by:

    1. Gert G. Wagner, 2021. "Polit-ökonomische Aspekte des Berichts zur Lage der Verbraucher:innen [Political-Economic Aspects of the Report on the Position of Consumers by the Advisory Council for Consumer Affairs (SVRV)]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(6), pages 473-480, June.
    2. Jähnen, Stefanie & Helbig, Marcel, 2022. "The dynamics of socio-economic segregation: What role do private schools play?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue OnlineFir, pages 1-1.

  8. Kholodilin, Konstantin A. & Netšunajev, Aleksei, 2019. "Crimea and punishment: the impact of sanctions on Russian economy and economies of the euro area," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(1), pages 39-51.

    Cited by:

    1. Morad Bali & Nady Rapelanoro, 2021. "How to simulate international economic sanctions: A multipurpose index modelling illustrated with EU sanctions against Russia," International Economics, CEPII research center, issue 168, pages 25-39.
    2. Pavel Dovbnya, 2020. "Announcements of Sanctions and the Russian Equity Market: An Event Study Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 79(1), pages 74-92, March.
    3. Korhonen, I., 2019. "Sanctions and Counter-Sanctions - What Are their Economic Effects in Russia and Elsewhere?," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 184-190.
    4. Jakub Horak, 2021. "Sanctions as a Catalyst for Russia’s and China’s Balance of Trade: Business Opportunity," JRFM, MDPI, vol. 14(1), pages 1-26, January.
    5. Morad Bali, 2020. "Methodological Limitations of the Literature in the Study of Economic Sanctions, the Ukrainian Crisis Case," Post-Print hal-02472943, HAL.
    6. Jerg Gutmann & Matthias Neuenkirch & Florian Neumeier, 2021. "The Economic Effects of International Sanctions: An Event Study," Research Papers in Economics 2021-03, University of Trier, Department of Economics.
    7. Nguyen, Trung Thanh & Do, Manh Hung, 2021. "Impact of economic sanctions and counter-sanctions on the Russian Federation’s trade," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 267-278.
    8. Mirzosaid Sultonov, 2020. "The Impact of International Sanctions on Russian Financial Markets," Economies, MDPI, vol. 8(4), pages 1-14, December.
    9. Anna Miromanova, 2023. "Quantifying the trade‐reducing effect of embargoes: Firm‐level evidence from Russia," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 1121-1160, August.
    10. Charemza, Wojciech & Makarova, Svetlana & Rybiński, Krzysztof, 2022. "Economic uncertainty and natural language processing; The case of Russia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 546-562.
    11. Prilepskiy, I., 2019. "Financial Sanctions: Impact on Capital flows and GDP Growth in Russia," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 163-172.
    12. Mikhail Mamonov & Anna Pestova, 2021. ""Sorry, You're Blocked." Economic Effects of Financial Sanctions on the Russian Economy," CERGE-EI Working Papers wp704, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    13. Iikka Korhonen, 2020. "Economic Sanctions on Russia and Their Effects," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 20(04), pages 19-22, January.
    14. Simola, Heli, 2023. "What the literature says about the effects of sanctions on Russia," BOFIT Policy Briefs 8/2023, Bank of Finland Institute for Emerging Economies (BOFIT).
    15. Sziklai, Balázs R. & Kóczy, László Á. & Csercsik, Dávid, 2020. "The impact of Nord Stream 2 on the European gas market bargaining positions," Energy Policy, Elsevier, vol. 144(C).
    16. Anna Miromanova, 2023. "The effectiveness of embargoes: Evidence from Russia," The World Economy, Wiley Blackwell, vol. 46(4), pages 906-940, April.
    17. Bijoy Chandra Das & Fakhrul Hasan & Soma Rani Sutradhar & Sujana Shafique, 2023. "Ukraine–Russia Conflict and Stock Markets Reactions in Europe," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 395-407, September.
    18. Mohammed Shakib, 2023. "Innovation-Export Diversification Nexus in Russian Regions: Does Trade Globalization, Business Potential and Geopolitics Matter?," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(4), pages 932-974.
    19. Mikhail Mamonov & Anna Pestova, 2023. "The Price of War: Macroeconomic and Cross-Sectional Effects of Sanctions on Russia," CERGE-EI Working Papers wp756, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    20. Mirzosaid Sultonov, 2022. "Regional Economic and Financial Interconnectedness and the Impact of Sanctions: The Case of the Commonwealth of Independent States," JRFM, MDPI, vol. 15(12), pages 1-18, November.

  9. Andreas Mense & Claus Michelsen & Konstantin A. Kholodilin, 2019. "The Effects of Second-Generation Rent Control on Land Values," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 385-388, May.

    Cited by:

    1. Carla Krolage, 2020. "The Effect of Real Estate Purchase Subsidies on Property Prices," ifo Working Paper Series 333, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Alexander Daminger & Kristof Dascher, 2020. "City Skew and Homeowner Subsidy Removal," Working Papers 195, Bavarian Graduate Program in Economics (BGPE).
    3. Wrede, Matthias, 2021. "How short-term rentals are changing the neighborhood," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242409, Verein für Socialpolitik / German Economic Association.
    4. Breidenbach, Philipp & Eilers, Lea & Fries, Jan, 2022. "Temporal dynamics of rent regulations – The case of the German rent control," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    5. Carla Krolage, 2023. "The effect of real estate purchase subsidies on property prices," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(1), pages 215-246, February.
    6. Rainald Borck & Niklas Gohl, 2021. "Gentrification and Affordable Housing Policies," CEPA Discussion Papers 39, Center for Economic Policy Analysis.
    7. H. Allen Klaiber & Ulrich B. Morawetz, 2021. "The Welfare Impacts of Large Urban Noise Reductions: Implications from Household Sorting in Vienna," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 121-146, January.
    8. Jofre-Monseny, Jordi & Martínez-Mazza, Rodrigo & Segú, Mariona, 2023. "Effectiveness and supply effects of high-coverage rent control policies," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    9. Miguel-Ángel López García, 2023. "Controles de alquileres," Hacienda Pública Española / Review of Public Economics, IEF, vol. 246(3), pages 165-206, September.
    10. Ulrich B. Morawetz & H. Allen Klaiber, 2022. "Does housing policy impact income sorting near urban amenities? Evidence from Vienna, Austria," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 411-454, October.
    11. Andreas Mense & Claus Michelsen & Konstantin A. Kholodilin, 2019. "Rent Control, Market Segmentation, and Misallocation: Causal Evidence from a Large-Scale Policy Intervention," Discussion Papers of DIW Berlin 1832, DIW Berlin, German Institute for Economic Research.
    12. Mense, Andreas & Michelsen, Claus & Kholodilin, Konstantin A., 2023. "Rent Control, Market Segmentation, and Misallocation: Causal Evidence from a Large-Scale Policy Intervention," Journal of Urban Economics, Elsevier, vol. 134(C).

  10. Konstantin Kholodilin & Sebastian Kohl, 2019. "Verdrängung oder Sozialpolitik? Einfluss von Regulierungen auf die Wohneigentumsquote [Social Policy or Crowding-out? The Effect of Private-tenancy Regulation on Homeownership]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 99(5), pages 363-366, May.

    Cited by:

    1. Konstantin A. Kholodilin & Claus Michelsen, 2021. "Wohneigentumsförderung in Deutschland – Kleine Prämien mit Wirkung," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 88(27), pages 471-479.

  11. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Das Risiko einer Immobilienpreisblase ist in Deutschland sowie in den meisten OECD-Ländern hoch," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 86(32), pages 547-555.

    Cited by:

    1. Wolfgang Kloppenburg, 2021. "Are Real Estate Prices Evolving into an Asset Price Bubble?," ACTA VSFS, University of Finance and Administration, vol. 15(1), pages 36-48.

  12. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Zehn Jahre nach dem großen Knall: wie ist es um die Stabilität der internationalen Immobilienmärkte bestellt? [Ten years after a Big Bang: How stable are the international housing markets?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 67-87, November.

    Cited by:

    1. Konstantin A. Kholodilin & Sebastian Kohl & Florian Müller, 2023. "Government-Made House Price Bubbles? Austerity, Homeownership, Rental, and Credit Liberalization Policies and the “Irrational Exuberance” on Housing Markets," Discussion Papers of DIW Berlin 2061, DIW Berlin, German Institute for Economic Research.
    2. Wolfgang Kloppenburg, 2021. "Are Real Estate Prices Evolving into an Asset Price Bubble?," ACTA VSFS, University of Finance and Administration, vol. 15(1), pages 36-48.

  13. Konstantin A. Kholodilin & Andreas Mense & Claus Michelsen, 2018. "Mietpreisbremse ist besser als ihr Ruf, aber nicht die Lösung des Wohnungsmarktproblems," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 85(7), pages 107-117.

    Cited by:

    1. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19 [Setting the Right Course for Economic Policy. Annual Report 2018/19]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819.
    2. Davies, Clementine, 2021. "Financialisation and rental housing: A case study of Berlin," IPE Working Papers 153/2021, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    3. Lorenz Thomschke, 2019. "Über die Evaluierung der Mietpreisbremse [On the evaluation of the German rental price break]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 21-36, November.
    4. Friedrich Breyer & Nicole Hoffmeister-Kraut & Matthias Wrede & Harald Simons & Lars Vandrei & Theresia Theurl & Ralph Henger & Konstantin Kholodilin & Sebastian Kohl, 2018. "Failure of social housing policy: How to create affordable housing?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(21), pages 03-30, November.
    5. Stephan L. Thomsen & Daniel Vogt & Lars Brausewetter, 2020. "Mietwohnungsknappheit in Deutschland: Ursachen, Instrumente, Implikationen [Shortage of Rental Housing in Germany: Causes, Instruments, Implications]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(6), pages 461-467, June.
    6. Thomsen, Stephan L. & Vogt, Daniel & Brausewetter, Lars, 2019. "Wohnungsmarkt und Wohnungspolitik in Deutschland: Situation und Optionen," IZA Standpunkte 97, Institute of Labor Economics (IZA).

  14. Konstantin A. Kholodilin & Claus Michelsen & Dirk Ulbricht, 2018. "Speculative price bubbles in urban housing markets," Empirical Economics, Springer, vol. 55(4), pages 1957-1983, December.

    Cited by:

    1. Breidenbach Philipp & Schaffner Sandra, 2020. "Real estate data for Germany (RWI-GEO-RED)," German Economic Review, De Gruyter, vol. 21(3), pages 401-416, September.
    2. Brausewetter, Lars & Thomsen, Stephan L. & Trunzer, Johannes, 2022. "Explaining Regional Disparities in Housing Prices across German Districts," IZA Discussion Papers 15199, Institute of Labor Economics (IZA).
    3. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Zehn Jahre nach dem großen Knall: wie ist es um die Stabilität der internationalen Immobilienmärkte bestellt? [Ten years after a Big Bang: How stable are the international housing markets?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 67-87, November.
    4. Hans Fehr & Maurice Hofmann, 2019. "Tenure Choice, Portfolio Structure and Long-Term Care - Optimal Risk Management in Retirement," CESifo Working Paper Series 7783, CESifo.
    5. Wan, Junmin & Qiu, Qiqi, 2023. "Industrial investments and housing prices in China," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 832-852.
    6. Umut Unal & Bernd Hayo & Isil Erol, 2024. "The Effect of Immigration on the German Housing Market," Working Papers CEB 24-001, ULB -- Universite Libre de Bruxelles.
    7. Benjamin Kwakye & Chan Tze Haw, 2020. "Interplay of the Macroeconomy and Real Estate: Systematic Review of Literature," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 262-271.
    8. Lan, Hao & Moreira, Fernando & Zhao, Sheng, 2023. "Can a house resale restriction policy curb speculation? Evidence from a quasi-natural experiment in China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 841-859.

  15. Konstantin A. Kholodilin & Claus Michelsen, 2018. "Signs of New Housing Bubble in Many OECD Countries – Lower Risk in Germany," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 8(30/31), pages 275-285.

    Cited by:

    1. Janusz Sobieraj & Dominik Metelski, 2021. "Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities," JRFM, MDPI, vol. 14(9), pages 1-29, September.
    2. Marek Bryx & Janusz Sobieraj & Dominik Metelski & Izabela Rudzka, 2021. "Buying vs. Renting a Home in View of Young Adults in Poland," Land, MDPI, vol. 10(11), pages 1-31, November.

  16. Konstantin A. Kholodilin & Jan Philip Weber & Steffen Sebastian, 2018. "Die Mietwohnungsmarktregulierung der letzten 100 Jahre im internationalen Vergleich," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 85(45), pages 971-982.

    Cited by:

    1. Konstantin Kholodilin & Sebastian Kohl, 2019. "Verdrängung oder Sozialpolitik? Einfluss von Regulierungen auf die Wohneigentumsquote [Social Policy or Crowding-out? The Effect of Private-tenancy Regulation on Homeownership]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 99(5), pages 363-366, May.

  17. Konstantin A. Kholodilin & Claus Michelsen, 2018. "Anzeichen für neue Immobilienpreisblase in einigen OECD-Ländern – Gefahr in Deutschland geringer," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 85(30/31), pages 657-667.

    Cited by:

    1. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19 [Setting the Right Course for Economic Policy. Annual Report 2018/19]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819.
    2. Wolfgang Kloppenburg, 2021. "Are Real Estate Prices Evolving into an Asset Price Bubble?," ACTA VSFS, University of Finance and Administration, vol. 15(1), pages 36-48.

  18. Konstantin A. Kholodilin & Jan Philip Weber & Steffen Sebastian, 2018. "Rental Market Regulation over the Last 100 Years in an International Comparison," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 8(45), pages 453-464.

    Cited by:

    1. Konstantin A. Kholodilin & Leonid Limonov & Sofie R. Waltl, 2019. "Housing Rent Dynamics and Rent Regulation in St. Petersburg (1880-1917)," Discussion Papers of DIW Berlin 1780, DIW Berlin, German Institute for Economic Research.
    2. Wen, Lanjiao & Chatalova, Lioudmila & Zhang, Anlu, 2022. "Can China's unified construction land market mitigate urban land shortage? Evidence from Deqing and Nanhai, Eastern coastal China," Land Use Policy, Elsevier, vol. 115(C).
    3. Nieuwenhuis, Rense & Zagel, Hannah, 2022. "Housing conditions of single mothers in Europe: the role of housing policies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest Ar, pages 1-1.
    4. Andreas Mense & Claus Michelsen & Konstantin A. Kholodilin, 2019. "Rent Control, Market Segmentation, and Misallocation: Causal Evidence from a Large-Scale Policy Intervention," Discussion Papers of DIW Berlin 1832, DIW Berlin, German Institute for Economic Research.

  19. Hanne Albig & Marius Clemens & Ferdinand Fichtner & Stefan Gebauer & Simon Junker & Konstantin Kholodilin, 2017. "Wie steigende Einkommensungleichheit das Wirtschaftswachstum in Deutschland beeinflusst," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 84(10), pages 159-168.

    Cited by:

    1. Jochen Hartwig, 2018. "Wachstumsfolgen von Einkommensungleichheit – Theorie, empirische Evidenz und Politikempfehlungen," Chemnitz Economic Papers 020, Department of Economics, Chemnitz University of Technology.
    2. Andreas Peichl & Martin Ungerer & Richard Hauser & Stefan Sell & Judith Niehues & Christoph Schröder & Dorothee Spannagel & Anita Tiefensee & Helmut Dedy & Gerhard Bosch & Thorsten Kalina, 2017. "Myth or Reality: Are the Poor Getting Poorer and the Rich Richer?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(10), pages 03-26, May.

  20. Konstantin A. Kholodilin & Claus Michelsen, 2017. "No Germany-Wide Housing Bubble but Overvaluation in Regional Markets and Segments," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 7(25/26), pages 255-264.

    Cited by:

    1. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    2. Mavropoulos, Antonios, 2021. "To rent or not to rent: A household finance perspective on Berlin's short-term rental regulation," IWH Discussion Papers 1/2021, Halle Institute for Economic Research (IWH).
    3. Damjanović, Milan & Lenarčič, Črt, 2023. "Constructing a house price misalignment indicator: revisited and revamped," MPRA Paper 118489, University Library of Munich, Germany.

  21. Konstantin A Kholodilin & Andreas Mense & Claus Michelsen, 2017. "The market value of energy efficiency in buildings and the mode of tenure," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3218-3238, November.
    See citations under working paper version above.
  22. Hanne Albig & Marius Clemens & Ferdinand Fichtner & Stefan Gebauer & Simon Junker & Konstantin Kholodilin, 2017. "How Rising Income Inequality Influenced Economic Growth in Germany," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 7(10), pages 113-121.

    Cited by:

    1. Mihai Antonia & Zizi Goschin & Irina-Denisa Munteanu & Mihail-Dumitru Sacală, 2023. "The Effects of Schooling Level on Economic Convergence in Emerging Countries: Evidence from Romania," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 125-142, September.

  23. Dirk Ulbricht & Konstantin A. Kholodilin & Tobias Thomas, 2017. "Do Media Data Help to Predict German Industrial Production?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 483-496, August.
    See citations under working paper version above.
  24. Konstantin A. Kholodilin & Claus Michelsen, 2017. "Keine Immobilienpreisblase in Deutschland – aber regional begrenzte Übertreibungen in Teilmärkten," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 84(25), pages 503-513.

    Cited by:

    1. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Zehn Jahre nach dem großen Knall: wie ist es um die Stabilität der internationalen Immobilienmärkte bestellt? [Ten years after a Big Bang: How stable are the international housing markets?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 67-87, November.
    2. Wolfgang Kloppenburg, 2021. "Are Real Estate Prices Evolving into an Asset Price Bubble?," ACTA VSFS, University of Finance and Administration, vol. 15(1), pages 36-48.

  25. Kholodilin, Konstantin A., 2016. "War, Housing Rents, and Free Market: Berlin's Rental Housing during World War I," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20(3), pages 322-344.

    Cited by:

    1. Konstantin Kholodilin & Irina Koroleva & Darya Kryutchenko, 2022. "Where is the consumer centre? A case of St. Petersburg," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(4), pages 916-938, August.
    2. Konstantin A. Kholodilin & Irina Krylova & Darya Kryutchenko, 2017. "Finding the Consumer Center of St. Petersburg?," HSE Working papers WP BRP 165/EC/2017, National Research University Higher School of Economics.
    3. Konstantin A. Kholodilin & Leonid Limonov & Sofie R. Waltl, 2019. "Housing Rent Dynamics and Rent Regulation in St. Petersburg (1880-1917)," Discussion Papers of DIW Berlin 1780, DIW Berlin, German Institute for Economic Research.
    4. Richard Keely & Ronan C Lyons, 2019. "Debt and Taxes: The Sale-Rent Housing Price Ratio in Dublin since 1945," Trinity Economics Papers tep0419, Trinity College Dublin, Department of Economics.
    5. Richard Keely & Ronan C. Lyons, 2022. "Housing Prices, Yields and Credit Conditions in Dublin since 1945," The Journal of Real Estate Finance and Economics, Springer, vol. 64(3), pages 404-439, April.
    6. Konstantin A. Kholodilin & Irina Krylova & Darya Kryutchenko, 2017. "Where Is the Consumer Center of St. Petersburg?," Discussion Papers of DIW Berlin 1666, DIW Berlin, German Institute for Economic Research.

  26. Konstantin A. Kholodilin & Andreas Mense & Claus Michelsen, 2016. "Marktwert der Energieeffizienz: deutliche Unterschiede zwischen Miet- und Eigentumswohnungen," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(28), pages 605-613.

    Cited by:

    1. Franz Fuerst & Ben Dalton, 2019. "Gibt es einen wissenschaftlichen Konsens zur Wirtschaftlichkeit nachhaltiger Immobilien? [Is there a scientific consensus on the economic viability of sustainable buildings?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 173-191, November.

  27. Konstantin A. Kholodilin & Andreas Mense & Claus Michelsen, 2016. "Die Mietpreisbremse wirkt bisher nicht," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(22), pages 491-499.

    Cited by:

    1. Breidenbach, Philipp & Eilers, Lea & Fries, Jan Ludwig, 2019. "Rent control and rental prices: High expectations, high effectiveness?," Working Papers 07/2018, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    2. Kitzmann, Robert, 2018. "Zurück in die Zukunft!? Die Wiederkehr kommunaler Wohnungspolitik," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue 3/2018, pages 162-167.
    3. Christian Beer & Karin Wagner, 2017. "Household's housing expenditure in Austria, Germany and Italy," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/17, pages 48-61.
    4. Klaus-Heiner Röhl & Christoph Schröder, 2017. "A Regional Perspective on Poverty – Findings and Recommendations for Action," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(14), pages 28-35, July.
    5. Davies, Clementine, 2021. "Financialisation and rental housing: A case study of Berlin," IPE Working Papers 153/2021, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    6. Lorenz Thomschke, 2019. "Über die Evaluierung der Mietpreisbremse [On the evaluation of the German rental price break]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 21-36, November.
    7. Hinrichsen, Julius & Nitt-Drießelmann, Dörte & Wellenreuther, Claudia & Wolf, André, 2021. "Der Eigentumsbegriff in den Parteiprogrammen zur Bundestagswahl 2021: Eine ökonomische Analyse," HWWI Policy Papers 133, Hamburg Institute of International Economics (HWWI).
    8. Niedermayer, Andras & Wang, Chengsi, 2018. "A search model of rental markets: Who should pay the commission?," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 214-235.
    9. Schwarzbauer, Wolfgang & Thomas, Tobias & Koch, Philipp, 2019. "Bezahlbaren Wohnraum erreichen: Ökonomische Überlegungen zur Wirksamkeit wohnungspolitischer Maßnahmen," Policy Notes 30, EcoAustria – Institute for Economic Research.

  28. Dreger, Christian & Kholodilin, Konstantin A. & Ulbricht, Dirk & Fidrmuc, Jarko, 2016. "Between the hammer and the anvil: The impact of economic sanctions and oil prices on Russia’s ruble," Journal of Comparative Economics, Elsevier, vol. 44(2), pages 295-308.

    Cited by:

    1. Konstantin A. Kholodilin & Aleksei Netsunajev, 2019. "Crimea and punishment: the impact of sanctions on Russian economy and economies of the euro area," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 39-51.
    2. Morad Bali & Nady Rapelanoro, 2021. "How to simulate international economic sanctions: A multipurpose index modelling illustrated with EU sanctions against Russia," International Economics, CEPII research center, issue 168, pages 25-39.
    3. Wang, Kai-Hua & Liu, Lu & Li, Xin & Oana-Ramona, Lobonţ, 2022. "Do oil price shocks drive unemployment? Evidence from Russia and Canada," Energy, Elsevier, vol. 253(C).
    4. Pavel Dovbnya, 2020. "Announcements of Sanctions and the Russian Equity Market: An Event Study Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 79(1), pages 74-92, March.
    5. Lucie Coufalová, 2020. "Sankce západních zemí a ruská odvetná opatření: dopad na české exporty [Sanctions by Western Countries and Russian Countermeasures: Impact on Czech Exports]," Politická ekonomie, Prague University of Economics and Business, vol. 2020(3), pages 348-366.
    6. Piotr Lukaszuk, 2021. "You can smuggle but you can't hide: Sanction evasion during the Ukraine crisis," Aussenwirtschaft, University of St. Gallen, School of Economics and Political Science, Swiss Institute for International Economics and Applied Economics Research, vol. 71(01), pages 73-125, December.
    7. Xiaoxiao Hu & Ling He & Qi Cui, 2021. "How Do International Conflicts Impact China’s Energy Security and Economic Growth? A Case Study of the US Economic Sanctions on Iran," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    8. Korhonen, I., 2019. "Sanctions and Counter-Sanctions - What Are their Economic Effects in Russia and Elsewhere?," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 184-190.
    9. Shida, Yoshisada, 2019. "Russian Business under Economic Sanctions: Is There Regional Heterogeneity?," MPRA Paper 93817, University Library of Munich, Germany.
    10. Jarko Fidrmuc & Moritz Degler, 2018. "Temporal and Spatial Dependence of Inter-Regional Risk Sharing: Evidence from Russia," Working Papers 373, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    11. Madanizadeh, Seyed Ali & Karimirad, Ali & Rahmati, Mohammad H., 2019. "Business cycle accounting of trade barriers in a small open economy," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 67-78.
    12. Mikhail Mamonov & Anna Pestova & Steven Ongena, 2023. "“Crime and Punishment”? How Banks Anticipate and Propagate Global Financial Sanctions," CERGE-EI Working Papers wp753, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    13. Hinz, Julian & Monastyrenko, Evgenii, 2019. "Bearing the cost of politics: Consumer prices and welfare in Russia," Kiel Working Papers 2119, Kiel Institute for the World Economy (IfW Kiel).
    14. Jakub Horak, 2021. "Sanctions as a Catalyst for Russia’s and China’s Balance of Trade: Business Opportunity," JRFM, MDPI, vol. 14(1), pages 1-26, January.
    15. Jarko Fidrmuc & Serhiy Moroz & Fabian Reck, 2021. "Regional risk-sharing in Ukraine," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(3), pages 645-660, August.
    16. Dastan ASEİNOV & Kamalbek KARYMSHAKOV, 2018. "Development of the Banking System in Kyrgyzstan: An Historical Review and Current Challenges," Sosyoekonomi Journal, Sosyoekonomi Society.
    17. Korhonen, Iikka & Simola, Heli & Solanko, Laura, 2018. "Sanctions, counter-sanctions and Russia: Effects on economy, trade and finance," BOFIT Policy Briefs 4/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    18. Aganin, Artem & Peresetsky, Anatoly, 2018. "Volatility of ruble exchange rate: Oil and sanctions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 5-21.
    19. Pestova, Anna & Mamonov, Mikhail, 2019. "Should we care? The economic effects of financial sanctions on the Russian economy," BOFIT Discussion Papers 13/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    20. Claudiu Tiberiu Albulescu, 2022. "Bank financial stability and international oil prices: Evidence from listed Russian public banks," Working Papers hal-02554299, HAL.
    21. Morad Bali, 2020. "Methodological Limitations of the Literature in the Study of Economic Sanctions, the Ukrainian Crisis Case," Post-Print hal-02472943, HAL.
    22. Wang, Yiwei & Wang, Ke & Chang, Chun-Ping, 2019. "The impacts of economic sanctions on exchange rate volatility," Economic Modelling, Elsevier, vol. 82(C), pages 58-65.
    23. Liudmila Popova & Ehsan Rasoulinezhad, 2016. "Have Sanctions Modified Iran’s Trade Policy? An Evidence of Asianization and De-Europeanization through the Gravity Model," Economies, MDPI, vol. 4(4), pages 1-15, October.
    24. Karol Sorby, jr, 2022. "Ḥāfiẓ Al-Asad Becoming The Strongman Of Syria, 1970 – 1973," Almanach (Actual Issues in World Economics and Politics), Ekonomická univerzita, Fakulta medzinárodných vzťahov, vol. 17(2), pages 34-47.
    25. Nguyen, Trung Thanh & Do, Manh Hung, 2021. "Impact of economic sanctions and counter-sanctions on the Russian Federation’s trade," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 267-278.
    26. Alexeev, Michael & Zakharov, Nikita, 2022. "Who profits from windfalls in oil tax revenue? Inequality, protests, and the role of corruption," BOFIT Discussion Papers 2/2022, Bank of Finland Institute for Emerging Economies (BOFIT).
    27. Angela Cheptea & Carl Gaigné, 2020. "Russian food embargo and the lost trade [Nonparametric counterfactual predictions in neoclassical models of international trade]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 684-718.
    28. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Does oil price really matter for the wage arrears in Russia?," Energy, Elsevier, vol. 208(C).
    29. Galkin, Andrei S. & Gurov, Ilya N. & Studnikov, Sergey S., 2020. "Accounting mechanism for information signals about the imposition of sanctions in valuation of a company," Economic Consultant, Roman I. Ostapenko, vol. 29(1), pages 57-64.
    30. Klomp, Jeroen, 2020. "The impact of Russian sanctions on the return of agricultural commodity futures in the EU," Research in International Business and Finance, Elsevier, vol. 51(C).
    31. Tran Manh Ha & Doan Ngoc Thang, 2023. "Economic sanction and global sourcing complexity: A cross‐country analysis," The World Economy, Wiley Blackwell, vol. 46(4), pages 1017-1050, April.
    32. Teemu Makkonen & Timo Mitze, 2021. "Geo-political conflicts, economic sanctions and international knowledge flows," Papers 2112.00564, arXiv.org.
    33. Konrad, Kai A. & Thum, Marcel, 2023. "Elusive effects of export embargoes for fossil energy resources," Energy Economics, Elsevier, vol. 117(C).
    34. Joakim Gullstrand, 2020. "What goes around comes around: The effects of sanctions on Swedish firms in the wake of the Ukraine crisis," The World Economy, Wiley Blackwell, vol. 43(9), pages 2315-2342, September.
    35. Omar, Ayman & Lambe, Brendan John, 2022. "Crude oil pricing and statecraft: Surprising lessons from US economic sanctions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    36. Anna Miromanova, 2023. "Quantifying the trade‐reducing effect of embargoes: Firm‐level evidence from Russia," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 1121-1160, August.
    37. Patrik Kozár, 2022. "Key Skills And Competences Of Managers In The Context Of An International Work Environment," Almanach (Actual Issues in World Economics and Politics), Ekonomická univerzita, Fakulta medzinárodných vzťahov, vol. 17(2), pages 14-22.
    38. Gold, Robert & Hinz, Julian & Valsecchi, Michele, 2023. "To Russia with love? The impact of sanctions on regime support," Kiel Working Papers 2212, Kiel Institute for the World Economy (IfW Kiel).
    39. Anna Garashchuk & Fernando Isla Castillo & Pablo Podadera Rivera, 2022. "The Empirical Evidence of EU–Russia Bilateral Trade under Sanctions and Oil Price Shocks," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
    40. Livia Cebotari, 2021. "The impact of the Sanctions and Counter Sanctions on the Russian and EU Member States Economies," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 24(82), pages 56-66, December,.
    41. Nawar Al-Saadi, 2023. "Russian-Ukrainian War's Effects on the World Economy," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 77-94.
    42. Davydov, Denis & Sihvonen, Jukka & Solanko, Laura, 2021. "Who cares about sanctions? Observations from annual reports of European firms," BOFIT Discussion Papers 5/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
    43. Vasily Astrov & Mahdi Ghodsi & Richard Grieveson & Mario Holzner & Artem Kochnev & Michael Landesmann & Olga Pindyuk & Robert Stehrer & Maryna Tverdostup & Alexandra Bykova, 2022. "Russia’s invasion of Ukraine: assessment of the humanitarian, economic, and financial impact in the short and medium term," International Economics and Economic Policy, Springer, vol. 19(2), pages 331-381, May.
    44. Campana, Juan Manuel & Emboava Vaz, João & Hein, Eckhard & Jungmann, Benjamin, 2022. "Demand and growth regimes of the BRICs countries," IPE Working Papers 197/2022, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    45. Estrada, Mario Arturo Ruiz & Koutronas, Evangelos, 2022. "The impact of the Russian Aggression against Ukraine on the Russia-EU Trade," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 599-616.
    46. Kai A. Konrad & Marcel Thum, 2022. "Elusive Effects of Oil and Gas Export Embargoes," Working Papers tax-mpg-rps-2022-05, Max Planck Institute for Tax Law and Public Finance.
    47. Yildirim, Zekeriya & Arifli, Arif, 2021. "Oil price shocks, exchange rate and macroeconomic fluctuations in a small oil-exporting economy," Energy, Elsevier, vol. 219(C).
    48. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    49. Wang, Xinghua & Lee, Zhengzheng & Wu, Shuang & Qin, Meng, 2023. "Exploring the vital role of geopolitics in the oil market: The case of Russia," Resources Policy, Elsevier, vol. 85(PB).
    50. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).
    51. Dumetz Jérôme, 2016. "Are Empires Striking Back? A Political and Cultural Comparison of the European Union and Russia," Economics and Culture, Sciendo, vol. 13(2), pages 53-60, December.
    52. Kholodilin, Konstantin A. & Netsunajev, Aleksei, 2017. "Crimea and punishment: the impact of sanctions on Russian and European economies," Bank of Estonia Working Papers wp2017-5, Bank of Estonia, revised 11 Sep 2017.
    53. Hanousek, Jan & Bělín, Matěj, 2019. "Which Sanctions Matter? Analysis of the EU/Russian Sanctions of 2014," CEPR Discussion Papers 13549, C.E.P.R. Discussion Papers.
    54. Alley, Ibrahim, 2018. "Oil price and USD-Naira exchange rate crash: Can economic diversification save the Naira?," Energy Policy, Elsevier, vol. 118(C), pages 245-256.
    55. Prilepskiy, I., 2019. "Financial Sanctions: Impact on Capital flows and GDP Growth in Russia," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 163-172.
    56. Luboš Smutka & Josef Abrhám, 2022. "The impact of the Russian import ban on EU agrarian exports," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(2), pages 39-49.
    57. Rastislav Solej, 2022. "The Impact Of Socio-Political Factors On The Economy And The Exchange Rate: Case Study From The Middle East And North Africa Region," Almanach (Actual Issues in World Economics and Politics), Ekonomická univerzita, Fakulta medzinárodných vzťahov, vol. 17(2), pages 23-33.
    58. Farahnak, Fardin, 2022. "Comparative analysis of oil-driven economic policies for Saudi Arabia and Iran; using the CGE model," Resources Policy, Elsevier, vol. 78(C).
    59. Nasir, Muhammad Ali & Naidoo, Lutchmee & Shahbaz, Muhammad & Amoo, Nii, 2018. "Implications of oil prices shocks for the major emerging economies: A comparative analysis of BRICS," Energy Economics, Elsevier, vol. 76(C), pages 76-88.
    60. Sedrakyan, Gohar Samvel, 2022. "Ukraine war-induced sanctions against Russia: Consequences on transition economies," Journal of Policy Modeling, Elsevier, vol. 44(5), pages 863-885.
    61. Afanasyev, Dmitriy O. & Fedorova, Elena & Ledyaeva, Svetlana, 2021. "Strength of words: Donald Trump's tweets, sanctions and Russia's ruble," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 253-277.
    62. Zhentao Li & Tianzi Li, 2022. "Economic Sanctions and Regional Differences: Evidence from Sanctions on Russia," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    63. Simola, Heli, 2023. "What the literature says about the effects of sanctions on Russia," BOFIT Policy Briefs 8/2023, Bank of Finland Institute for Emerging Economies (BOFIT).
    64. Kumar, Pawan & Singh, Vipul Kumar, 2022. "Does crude oil fire the emerging markets currencies contagion spillover? A systemic perspective," Energy Economics, Elsevier, vol. 116(C).
    65. Anna Miromanova, 2023. "The effectiveness of embargoes: Evidence from Russia," The World Economy, Wiley Blackwell, vol. 46(4), pages 906-940, April.
    66. Olga S. Kuznetsova & Sofiya R. Ulyanova, 2016. "The Impact Of A Central Bank’S Verbal Interventions On Stock Exchange Indices In A Resource Based Economy: The Evidence From Russia," HSE Working papers WP BRP 155/EC/2016, National Research University Higher School of Economics.
    67. Zhang, YunQian, 2022. "Influence of stock market factors on the natural resources dependence for environmental change: Evidence from China," Resources Policy, Elsevier, vol. 77(C).
    68. Firat Demir & Saleh S. Tabrizy, 2022. "Gendered effects of sanctions on manufacturing employment: Evidence from Iran," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2040-2069, November.
    69. Claudiu Albulescu, 2020. "Bank financial stability, bank valuation and international oil prices: Evidence from listed Russian public banks," Papers 2004.12791, arXiv.org.
    70. Jan Christoph Neumann, 2020. "An Empirical Analysis of the Currency Hedging Behavior of North German SMEs," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 6(1), pages 53-65.
    71. Bijoy Chandra Das & Fakhrul Hasan & Soma Rani Sutradhar & Sujana Shafique, 2023. "Ukraine–Russia Conflict and Stock Markets Reactions in Europe," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 395-407, September.
    72. Shigehiro Shinozaki, 2023. "Do Digitalization and Digital Finance Help Small Firms Survive Global Economic Uncertainty in Central and West Asia? Evidence from Rapid Surveys," Sustainability, MDPI, vol. 15(13), pages 1-29, July.
    73. Nasir, Muhammad Ali & Al-Emadi, Ahmed Abdulsalam & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2019. "Importance of oil shocks and the GCC macroeconomy: A structural VAR analysis," Resources Policy, Elsevier, vol. 61(C), pages 166-179.
    74. Kim, Kyoochul, 2020. "Finding Loopholes in Sanctions: Effects of Sanctions on North Korea’s Refined Oil Prices," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 42(4), pages 1-25.
    75. Devasmita Jena & C. Akash & Prachi Gupta, 2023. "Deflecting Economic Sanctions: Do Trade and Political Alliances Matter?," Working Papers 2023-248, Madras School of Economics,Chennai,India.
    76. Daria Loginova & Judith Irek, 2022. "Russian meat price transmission and policy interventions in 2014," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-28, December.
    77. Oliver Fritz & Elisabeth Christen & Franz Sinabell & Julian Hinz, 2017. "Russia's and the EU's Sanctions. Economic and Trade Effects, Compliance and the Way Forward," WIFO Studies, WIFO, number 60669, April.
    78. Gleb Aksenov & Ronglin Li & Qamar Abbas & Houlda Fambo & Sergey Popkov & Vadim Ponkratov & Mikhail Kosov & Izabella Elyakova & Marina Vasiljeva, 2023. "Development of Trade and Financial-Economical Relationships between China and Russia: A Study Based on the Trade Gravity Model," Sustainability, MDPI, vol. 15(7), pages 1-39, March.
    79. Dagmar Sulejmani, 2022. "Agenda 2030 In The Works Of Selected Foreign Authors," Almanach (Actual Issues in World Economics and Politics), Ekonomická univerzita, Fakulta medzinárodných vzťahov, vol. 17(2), pages 48-55.
    80. Mikhail Krivko & Luboš Smutka, 2021. "Agricultural and Foodstuff Trade between EU28 and Russia: (Non)Uniformity of the Russian Import Ban Impact Distribution," Agriculture, MDPI, vol. 11(12), pages 1-15, December.
    81. Mohammed Shakib, 2023. "Innovation-Export Diversification Nexus in Russian Regions: Does Trade Globalization, Business Potential and Geopolitics Matter?," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(4), pages 932-974.
    82. Vasily Astrov & Richard Grieveson & Artem Kochnev & Michael Landesmann & Olga Pindyuk, 2022. "Possible Russian Invasion of Ukraine, Scenarios for Sanctions, and Likely Economic Impact on Russia, Ukraine, and the EU," wiiw Policy Notes 55, The Vienna Institute for International Economic Studies, wiiw.
    83. Gregory Brock & Constantin Ogloblin, 2018. "Russian 1998–2007 TFP decomposed: some inspiration emerging from inherited Soviet legacy," Economic Change and Restructuring, Springer, vol. 51(2), pages 135-151, May.
    84. Mikhail Mamonov & Anna Pestova, 2023. "The Price of War: Macroeconomic and Cross-Sectional Effects of Sanctions on Russia," CERGE-EI Working Papers wp756, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    85. Breyel, Corinna & Grigoriadis, Theocharis, 2016. "Foreign agents? Natural resources & the political economy of civil society," Discussion Papers 2016/18, Free University Berlin, School of Business & Economics.
    86. Korotin, Vladimir & Dolgonosov, Maxim & Popov, Victor & Korotina, Olesya & Korolkova, Inna, 2019. "The Ukrainian crisis, economic sanctions, oil shock and commodity currency: Analysis based on EMD approach," Research in International Business and Finance, Elsevier, vol. 48(C), pages 156-168.

  29. Kholodilin, Konstantin A. & Ulbricht, Dirk, 2015. "Urban house prices: A tale of 48 cities," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-43.
    See citations under working paper version above.
  30. Christian Dreger & Konstantin Kholodilin, 2015. "The Ruble between the Hammer and the Anvil: The Impact of Oil Prices and Economic Sanctions," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 5(44), pages 587-591.

    Cited by:

    1. Hinz, Julian & Monastyrenko, Evgenii, 2019. "Bearing the cost of politics: Consumer prices and welfare in Russia," Kiel Working Papers 2119, Kiel Institute for the World Economy (IfW Kiel).
    2. Daniel P. Ahn & Rodney D. Ludema, 2019. "The sword and the shield: the economics of targeted sanctions," CESifo Working Paper Series 7620, CESifo.
    3. Matthieu Crozet & Julian Hinz, 2020. "Friendly fire: the trade impact of the Russia sanctions and counter-sanctions," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 35(101), pages 97-146.
    4. Peeva, Aleksandra, 2019. "Did sanctions help Putin?," Discussion Papers 2019/7, Free University Berlin, School of Business & Economics.
    5. Hinz, Julian, 2017. "The cost of sanctions: Estimating lost trade with gravity," Kiel Working Papers 2093, Kiel Institute for the World Economy (IfW Kiel).
    6. Mirzosaid Sultonov, 2020. "The Impact of International Sanctions on Russian Financial Markets," Economies, MDPI, vol. 8(4), pages 1-14, December.
    7. Klose, Jens, 2024. "Empirical effects of sanctions and support measures on stock prices and exchange rates in the Russia–Ukraine war," Global Finance Journal, Elsevier, vol. 59(C).
    8. Morad Bali, 2018. "The Impact of Economic Sanctions on Russia and its Six Greatest European Trade Partners," Post-Print halshs-01918521, HAL.
    9. Aleksei Anatolievich Ustiuzhanin & Irina Aleksandrovna Liman & Elena Petrovna Kiselitsa & Natalia Nikolaevna Shilova & Tatiana Ivanovna Leyman, 2019. "The ruble exchange rate and the price of oil: assessment of the degree of dependence, its causes and ways of overcoming," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 121-132, September.
    10. Nady Rapelanoro & BALI Morad, 2020. "International Economic Sanctions: Multipurpose Index Modelling in the Ukrainian Crisis Case," EconomiX Working Papers 2020-8, University of Paris Nanterre, EconomiX.
    11. V. Arkhipova V. & В. Архипова В., 2017. "Современный санкционный режим в отношении России: характеристика и глобальный аспект // Current Sanctions Regime Against Russia: Characteristics and Global Aspect," Мир новой экономики // The world of new economy, Финансовый университет при Правительстве Российской Федерации // Financial University under The Governtment оf The Russian Federation, issue 2, pages 13-19.
    12. Matthieu Crozet & Julian Hinz, 2016. "Collateral Damage: The impact of the Russia sanctions on sanctioning countries’ exports," Working Papers 2016-16, CEPII research center.
    13. Elisabeth Christen & Oliver Fritz & Gerhard Streicher & Julian Hinz, 2016. "Auswirkungen der Wirtschaftssanktionen der EU und Russlands auf Wertschöpfung und Beschäftigung in Österreich und der EU," WIFO Studies, WIFO, number 59227, April.
    14. Mirzosaid Sultonov, 2022. "Regional Economic and Financial Interconnectedness and the Impact of Sanctions: The Case of the Commonwealth of Independent States," JRFM, MDPI, vol. 15(12), pages 1-18, November.

  31. Konstantin A. Kholodilin & Claus Michelsen & Dirk Ulbricht, 2014. "Stark steigende Immobilienpreise in Deutschland: aber keine gesamtwirtschaftlich riskante Spekulationsblase," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(47), pages 1231-1240.

    Cited by:

    1. Kürschner, Kathleen, 2017. "Immigration and Rental Prices of Residential Housing: Evidence from the Fall of the Berlin Wall," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168092, Verein für Socialpolitik / German Economic Association.
    2. Bettina Isengard & Ronny König & Marc Szydlik, 2018. "Money or space? Intergenerational transfers in a comparative perspective," Housing Studies, Taylor & Francis Journals, vol. 33(2), pages 178-200, February.
    3. Kathleen Kuerschner, 2016. "Immigration and Rental Prices of Residential Housing: Evidence from the Fall of the Berlin Wall," ERES eres2016_109, European Real Estate Society (ERES).

  32. Boriss Siliverstovs & Konstantin A. Kholodilin & Vyacheslav Dombrovsky, 2014. "Using Personal Car Register for Measuring Economic Inequality in Countries with a Large Share of Shadow Economy: Evidence for Latvia," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 948-966, December.
    See citations under working paper version above.
  33. Helmut Herwartz & Konstantin A. Kholodilin, 2014. "In‐Sample and Out‐of‐Sample Prediction of stock Market Bubbles: Cross‐Sectional Evidence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 15-31, January.
    See citations under working paper version above.
  34. Konstantin A. Kholodilin & Dirk Ulbricht, 2014. "Mietpreisbremse: Wohnungsmarktregulierung bringt mehr Schaden als Nutzen," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(15), pages 319-327.

    Cited by:

    1. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19 [Setting the Right Course for Economic Policy. Annual Report 2018/19]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819.
    2. Steffen Wetzstein, 2017. "The global urban housing affordability crisis," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3159-3177, November.
    3. Carolin Fritzsche & Anton Groß, 2017. "Ein Überblick über Wohnungsmarktpolitik in europäischen Ländern," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 24(02), pages 03-11, April.
    4. Thomschke, Lorenz, 2016. "Distributional price effects of rent controls in Berlin: When expectation meets reality," CAWM Discussion Papers 89, University of Münster, Münster Center for Economic Policy (MEP).
    5. Lorenz Thomschke, 2019. "Über die Evaluierung der Mietpreisbremse [On the evaluation of the German rental price break]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 21-36, November.
    6. Hinrichsen, Julius & Nitt-Drießelmann, Dörte & Wellenreuther, Claudia & Wolf, André, 2021. "Der Eigentumsbegriff in den Parteiprogrammen zur Bundestagswahl 2021: Eine ökonomische Analyse," HWWI Policy Papers 133, Hamburg Institute of International Economics (HWWI).
    7. Konstantin A. Kholodilin, 2015. "War, Housing Rents, and Free Market: A Case of Berlin's Rental Housing Market during the World War I," Discussion Papers of DIW Berlin 1477, DIW Berlin, German Institute for Economic Research.

  35. Katharina Pijnenburg & Konstantin A. Kholodilin, 2014. "Do Regions with Entrepreneurial Neighbours Perform Better? A Spatial Econometric Approach for German Regions," Regional Studies, Taylor & Francis Journals, vol. 48(5), pages 866-882, May.
    See citations under working paper version above.
  36. Andreas Mense & Konstantin Kholodilin, 2014. "Noise expectations and house prices: the reaction of property prices to an airport expansion," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(3), pages 763-797, May.

    Cited by:

    1. Yanjiang Zhang & Hongyi Fan & Qingling Liu & Xiaofen Yu & Shangming Yang, 2023. "How a Short-Lived Rumor of Residential Redevelopment Disturbs a Local Housing Market: Evidence from Hangzhou, China," Land, MDPI, vol. 12(2), pages 1-15, February.
    2. Neumann, Uwe & Taruttis, Lisa, 2018. "Sorting in an urban housing market - is there a response to demographic change?," Ruhr Economic Papers 784, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Schaffner, Sandra & Breidenbach, Philipp & Cohen, Jeffrey P., 2019. "Continuation of air-services in Berlin-Tegel and its effects on housing prices," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203623, Verein für Socialpolitik / German Economic Association.
    4. Jeffrey P. Cohen & Cletus C. Coughlin & Jonas C. Crews & Stephen L. Ross, 2020. "The Closing of a Major Airport: Immediate and Longer-Term Housing Market Effects," Working Papers 2020-001, Federal Reserve Bank of St. Louis, revised 19 Jan 2021.
    5. L. Caballero Galeote & J. García Mestanza, 2020. "Qualitative Impact Analysis of International Tourists and Residents’ Perceptions of Málaga-Costa Del Sol Airport," Sustainability, MDPI, vol. 12(11), pages 1-26, June.
    6. Kholodilin, Konstantin A., 2016. "War, Housing Rents, and Free Market: Berlin's Rental Housing during World War I," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20(3), pages 322-344.
    7. Heiko Kirchhain & Jan Mutl & Joachim Zietz, 2020. "The Impact of Exogenous Shocks on House Prices: the Case of the Volkswagen Emissions Scandal," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 587-610, May.
    8. Jeffrey P. Cohen & Cletus C. Coughlin & Jonas C. Crews & Stephen L. Ross, 2019. "Negative Externalities and Real Asset Prices: Closing of Stapleton Airport and Effect on Nearby Housing Markets," Working Papers 2019-27, Federal Reserve Bank of St. Louis.
    9. Paul Cheshire & Katerina Kaimakamis, 2020. "Offices scarce but housing scarcer: estimating the premium for London office conversions," CEP Discussion Papers dp1701, Centre for Economic Performance, LSE.
    10. Jeffrey P. Cohen & Cletus C. Coughlin & Jonas Crews & Stephen L. Ross, 2023. "Longer term housing market effects of a major US airport closure," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(4), pages 990-1010, July.
    11. Philipp Breidenbach & Jeffrey Cohen & Sandra Schaffner, 2022. "Continuation of air services at Berlin‐Tegel and its effects on apartment rental prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(6), pages 1548-1575, November.
    12. Zheng, Xian & Peng, Wenwei & Hu, Mingzhi, 2020. "Airport noise and house prices: A quasi-experimental design study," Land Use Policy, Elsevier, vol. 90(C).
    13. Breidenbach, Philipp & Cohen, Jeffrey P. & Schaffner, Sandra, 2019. "Continuation of air services at Berlin-Tegel and its effects on rental prices," Ruhr Economic Papers 822, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Bełej, Mirosław & Cellmer, Radosław & Foryś, Iwona & Głuszak, Michał, 2023. "Airports in the urban landscape: externalities, stigmatization and housing market," Land Use Policy, Elsevier, vol. 126(C).
    15. Cyprian Chwiałkowski & Adam Zydroń & Dariusz Kayzer, 2022. "Assessing the Impact of Selected Attributes on Dwelling Prices Using Ordinary Least Squares Regression and Geographically Weighted Regression: A Case Study in Poznań, Poland," Land, MDPI, vol. 12(1), pages 1-20, December.

  37. Christian Dreger & Konstantin A. Kholodilin, 2013. "Zwischen Immobilienboom und Preisblasen: was kann Deutschland von anderen Ländern lernen?," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 80(17), pages 3-10.

    Cited by:

    1. Markus Grabka, 2015. "Income and wealth inequality after the financial crisis: the case of Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(2), pages 371-390, May.
    2. Andreas Mense & Eva Lohse & Jan Mutl & Heiko Kirchhain & Reiner Braun & Andreas Dombret, 2016. "Rising Real-estate prices and an Increasing Housing Shortage: An Unbalanced Housing Market?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(16), pages 03-25, August.

  38. Christian Dreger & Konstantin Arkadievich Kholodilin, 2013. "Forecasting Private Consumption by Consumer Surveys," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(1), pages 10-18, January.
    See citations under working paper version above.
  39. Dreger, Christian & Kholodilin, Konstantin A., 2013. "An early warning system to predict speculative house price bubbles," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-26.
    See citations under working paper version above.
  40. Konstantin A. Kholodilin & Aleksey Oshchepkov & Boriss Siliverstovs, 2012. "The Russian Regional Convergence Process," Eastern European Economics, Taylor & Francis Journals, vol. 50(3), pages 5-26, May.
    See citations under working paper version above.
  41. Andreas Mense & Konstantin A. Kholodilin, 2012. "Erwartete Lärmbelastung durch Großflughafen mindert Immobilienpreise im Berliner Süden," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 79(37), pages 3-9.

    Cited by:

    1. Jan von Detten & Johann V. Seebaß & Jan C. Schlüter & Florian Hackelberg, 2023. "Influence of onshore wind turbines on land values [Einfluss von Onshore-Windenergieanlagen auf den Grundstückswert]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 9(1), pages 63-80, April.

  42. Siliverstovs Boriss & Kholodilin Konstantin A., 2012. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
    See citations under working paper version above.
  43. Konstantin A. Kholodilin & Andreas Mense, 2012. "Wohnungspreise und Mieten steigen 2013 in vielen deutschen Großstädten weiter," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 79(45), pages 3-13.

    Cited by:

    1. Hui Chen & Sven Voigt & Xiaoming Fu, 2021. "Data-Driven Analysis on Inter-City Commuting Decisions in Germany," Sustainability, MDPI, vol. 13(11), pages 1-24, June.

  44. Konstantin A. Kholodilin & Andreas Mense, 2012. "German Cities to See Further Rises in Housing Prices and Rents in 2013," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 2(12), pages 16-26.

    Cited by:

    1. Ostermann, Kerstin & Eppelsheimer, Johann & Gläser, Nina & Haller, Peter & Oertel, Martina, 2022. "Geodata in labor market research: trends, potentials and perspectives," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-5.
    2. Yu. Yu. Shitova & Yu. A. Shitov, 2016. "Analysis of long-term dynamics of factors that determine labor commuting in the Moscow region," Studies on Russian Economic Development, Springer, vol. 27(4), pages 474-482, July.

  45. Korbinian Blanckenburg & Alexander Geist & Konstantin A. Kholodilin, 2012. "The Influence of Collusion on Price Changes: New Evidence from Major Cartel Cases," German Economic Review, Verein für Socialpolitik, vol. 13(3), pages 245-256, August.
    See citations under working paper version above.
  46. Kholodilin, Konstantin A. & Siliverstovs, Boriss, 2012. "Measuring regional inequality by internet car price advertisements: Evidence for Germany," Economics Letters, Elsevier, vol. 116(3), pages 414-417.
    See citations under working paper version above.
  47. Lev Freinkman & Konstantin A. Kholodilin & Ulrich ThieÃen, 2011. "Incentive Effects of Fiscal Equalization," Eastern European Economics, Taylor & Francis Journals, vol. 49(2), pages 5-29, March.

    Cited by:

    1. Alisher Akhmedjonov & Irina N. Il’ina & Carol S. Leonard & Zafar Nazarov & Evgenij E. Plisetskij & Elena S. Vakulenko, 2013. "Russia’s regions: governance and Well-being, 2000-2008," HSE Working papers WP BRP 42/EC/2013, National Research University Higher School of Economics.
    2. Lars P. Feld & Alexander Libman, 2007. "Strategic Tax Collection and Fiscal Decentralisation: The Case of Russia," CESifo Working Paper Series 2031, CESifo.
    3. Irina N. Ilina & Carol S. Leonard & Evgenij E. Plisetskij, 2014. "Russian Regional Resilience: Finance, Cooperation And Resource Abundance (A Case Study Of Khanty-Mansiysk)," HSE Working papers WP BRP 15/PA/2014, National Research University Higher School of Economics.
    4. Judith Thornton & Krisztina Nagy & Pasita Chaijaroen, 2019. "Changing Tax Effort in Russia’s Regions; the Impact of Re-Centralization," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 7(1), pages 62-79.
    5. Boriss Siliverstovs & Ulrich Thiessen & Caroline Elliott, 2015. "Incentive effects of fiscal federalism: Evidence for France," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1017949-101, December.
    6. Igor Yu. Arlashkin, 2020. "Intergovernmental Fiscal Instruments for Stimulating Regional Economic Growth in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 54-68, December.
    7. Carol S. Leonard & Zafar Nazarov & Elena S. Vakulenko, 2016. "The impact of sub-national institutions," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(3), pages 421-446, July.

  48. Michael Artis & Christian Dreger & Konstantin Kholodilin, 2011. "What Drives Regional Business Cycles? The Role Of Common And Spatial Components," Manchester School, University of Manchester, vol. 79(5), pages 1035-1044, September.
    See citations under working paper version above.
  49. Christian Dreger & Konstantin A. Kholodilin, 2011. "Speculative Bubble on Housing Markets: Elements of an Early Warning System," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 1(4), pages 3-9.

    Cited by:

    1. Hamid Norfiqiri & Razali Muhammad Najib & Azmi Fatin Afiqah & Daud Siti Zaleha & Yunus Nurhidayah Md., 2022. "Prospecting Housing Bubbles in Malaysia," Real Estate Management and Valuation, Sciendo, vol. 30(4), pages 74-88, December.

  50. Eric Girardin & Konstantin A. Kholodilin, 2011. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 622-643, November.
    See citations under working paper version above.
  51. Siliverstovs, Boriss & Kholodilin, Konstantin A. & Thiessen, Ulrich, 2011. "Does aging influence structural change? Evidence from panel data," Economic Systems, Elsevier, vol. 35(2), pages 244-260, June.

    Cited by:

    1. Mr. Shekhar Aiyar & Mr. Christian H Ebeke, 2016. "The Impact of Workforce Aging on European Productivity," IMF Working Papers 2016/238, International Monetary Fund.
    2. Lewandowski, Piotr & Keister, Roma & Hardy, Wojciech & Górka, Szymon, 2020. "Ageing of routine jobs in Europe," Economic Systems, Elsevier, vol. 44(4).
    3. Yingzhu Yang & Rong Zheng & Lexiang Zhao, 2021. "Population Aging, Health Investment and Economic Growth: Based on a Cross-Country Panel Data Analysis," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    4. Lafond, François & Goldin, Ian & Koutroumpis, Pantelis & Winkler, Julian, 2022. "Why is productivity slowing down?," INET Oxford Working Papers 2022-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    5. Garloff, Alfred & Pohl, Carsten & Schanne, Norbert, 2011. "Do small labor market entry cohorts reduce unemployment?," IAB-Discussion Paper 201118, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. N Renuga Nagarajan & Mineko Wada & Mei Lan Fang & Andrew Sixsmith, 2019. "Defining organizational contributions to sustaining an ageing workforce: a bibliometric review," European Journal of Ageing, Springer, vol. 16(3), pages 337-361, September.
    7. Gindra Kasnauskiene & Karol Michnevic, 2017. "Contribution of increased life expectancy to economic growth: evidence from CEE countries," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 6(2), pages 82-99, November.
    8. Makoto Hirono, 2021. "Demographic change, human capital accumulation, and sectoral employment," Journal of Economics, Springer, vol. 132(2), pages 165-185, March.
    9. Cylus, Jonathan & Al Tayara, Lynn, 2021. "Health, an ageing labour force, and the economy: Does health moderate the relationship between population age-structure and economic growth?," Social Science & Medicine, Elsevier, vol. 287(C).
    10. Pohl, Carsten, 2013. "Demografie, Erwerbsbeteiligung und Erwerbslosigkeit in Nordrhein-Westfalen : Analyse der Zusammenhänge zwischen 1996 und 2011," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Nordrhein-Westfalen 201301, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Liudmila Reshetnikova & Natalia Boldyreva & Maria Perevalova & Svetlana Kalayda & Zhanna Pisarenko, 2021. "Conditions for the Growth of the “Silver Economy” in the Context of Sustainable Development Goals: Peculiarities of Russia," JRFM, MDPI, vol. 14(9), pages 1-18, August.
    12. Cylus, Jonathan & Al Tayara, Lynn, 2021. "Health, an ageing labour force, and the economy: does health moderate the relationship between population age-structure and economic growth?," LSE Research Online Documents on Economics 112421, London School of Economics and Political Science, LSE Library.
    13. Geng, Yong & Liu, Wei & Wu, Yuzhao, 2021. "How do zombie firms affect China’s industrial upgrading?," Economic Modelling, Elsevier, vol. 97(C), pages 79-94.
    14. Karel Brůna & Jiří Pour, 2023. "Population aging and structural over/underinvestment," Economic Change and Restructuring, Springer, vol. 56(4), pages 2339-2383, August.
    15. Mollick, André Varella, 2012. "Income inequality in the U.S.: The Kuznets hypothesis revisited," Economic Systems, Elsevier, vol. 36(1), pages 127-144.

  52. Kholodilin Konstantin A. & Menz Jan-Oliver & Siliverstovs Boriss, 2010. "What Drives Housing Prices Down? Evidence from an International Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(1), pages 59-76, February.
    See citations under working paper version above.
  53. Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(4), pages 269-294.
    See citations under working paper version above.
  54. Kholodilin, Konstantin & Montagnoli, Alberto & Napolitano, Oreste & Siliverstovs, Boriss, 2009. "Assessing the impact of the ECB's monetary policy on the stock markets: A sectoral view," Economics Letters, Elsevier, vol. 105(3), pages 211-213, December.
    See citations under working paper version above.
  55. Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Geben Konjunkturprognosen eine gute Orientierung?," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 76(13), pages 207-213.

    Cited by:

    1. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Prognosen aus dem Internet: Weitere Erholung am Arbeitsmarkt erwartet," IZA Standpunkte 13, Institute of Labor Economics (IZA).
    2. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Googlemetrie und Arbeitsmarkt in der Wirtschaftskrise," IZA Standpunkte 17, Institute of Labor Economics (IZA).

  56. Åule Akkoyunlu & Konstantin A. Kholodilin, 2008. "A Link Between Workers' Remittances and Business Cycles in Germany and Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(5), pages 23-40, September.

    Cited by:

    1. Mazhar Y. Mughal & Junaid Ahmed, 2014. "Remittances and Business Cycles: Comparison of South Asian Countries," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 513-541, December.
    2. Ines Kersan-Škabiæ & Lela Tijaniæ, 2022. "The impact of remittances on economic development in the Central and Eastern European Countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 40(2), pages 281-296.
    3. Hulya Ulku, 2012. "Remitting Behaviour of Turkish Migrants: Evidence from Household Data in Germany," Urban Studies, Urban Studies Journal Limited, vol. 49(14), pages 3139-3158, November.
    4. Giulia Bettin & Andrea F. Presbitero & Nikola L. Spatafora, 2017. "Remittances and Vulnerability in Developing Countries," The World Bank Economic Review, World Bank, vol. 31(1), pages 1-23.
    5. Baas, Timo & Melzer, Silvia, 2016. "The Macroeconomic Impact of Remittances: A Sending Country Perspective," VfS Annual Conference 2016 (Augsburg): Demographic Change 145631, Verein für Socialpolitik / German Economic Association.
    6. Eric Rougier & Nicolas Yol, 2018. "The volatility effect of diaspora’s location: A migration portfolio approach," Cahiers du GREThA (2007-2019) 2018-09, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    7. Hathroubi, Salem & Aloui, Chaker, 2016. "On interactions between remittance outflows and Saudi Arabian macroeconomy: New evidence from wavelets," Economic Modelling, Elsevier, vol. 59(C), pages 32-45.
    8. Ahmed, Junaid & Martinez-Zarzoso, Inmaculada, 2013. "Blessing or curse: The stabilizing role of remittances, foreign aid and FDI to Pakistan," University of Göttingen Working Papers in Economics 153, University of Goettingen, Department of Economics.
    9. Cooray Arusha & Mallick Debdulal, 2013. "International business cycles and remittance flows," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-33, September.
    10. Ibrahim Sirkeci & Jeffrey H. Cohen & Dilip Ratha, 2012. "Migration and Remittances during the Global Financial Crisis and Beyond," World Bank Publications - Books, The World Bank Group, number 13092, December.
    11. Junaid Ahmed, 2012. "Cyclical Properties of Migrant's Remittances to Pakistan: What the data tell us," Economics Bulletin, AccessEcon, vol. 32(4), pages 3266-3278.
    12. Junaid Ahmed & Inmaculada Martinez-Zarzoso, 2016. "Blessing or Curse," Journal of South Asian Development, , vol. 11(1), pages 38-66, April.

  57. Christian Dreger & Konstantin Kholodilin & Kirsten Lommatzsch & JiÅí SlaÄálek & Przemyslaw Wozniak, 2008. "Price Convergence in an Enlarged Internal Market," Eastern European Economics, Taylor & Francis Journals, vol. 46(5), pages 57-68, September.
    See citations under working paper version above.
  58. Konstantin A. Kholodilin & Jan-Oliver Menz & Boriss Siliverstovs, 2008. "Immobilienkrise?: Warum in Deutschland die Preise seit Jahren stagnieren," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 75(17), pages 214-220.

    Cited by:

    1. Friedl, Bettina & Gull, Daniel & Krimm, Theresa, 2011. "Zur optimalen Anlagestrategie von Betriebsgewinnen und Privatvermögen [Optimal Investment Strategy of Company Profits and Private Assets]," MPRA Paper 59030, University Library of Munich, Germany.
    2. Wolfgang Maennig & Matthias Ottmann, 2011. "Perspektiven des deutschen Immobilienmarktes und wirtschaftspolitische Herausforderungen," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 12(2), pages 192-214, May.
    3. Bettina Friedl & Daniel Gull & Theresa Krimm, 2011. "Zur optimalen Anlagestrategie von Betriebsgewinnen und Privatvermögen," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 21(2), pages 159-187, January.

  59. Konstantin Arkadievich Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2008. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(2), pages 195-207.
    See citations under working paper version above.
  60. Konstantin A. Kholodilin & Stefan Kooths & Boriss Siliverstovs, 2008. "Konjunkturprognosen für Bundesländer setzen Verbesserung der Datensituation voraus," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 75(24), pages 318-325.

    Cited by:

    1. Joachim Ragnitz & Stefan Arent & Wolfgang Nierhaus & Beate Schirwitz & Johannes Steinbrecher & Gerit Vogt & Björn Ziegenbalg, 2010. "Methodenexpertise zur Analyse der Auswirkungen der internationalen Finanz- und Wirtschaftskrise auf die Wirtschaft im Land Brandenburg : Gutachten im Auftrag des Ministeriums für Wirtschaft des Landes," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 53.
    2. Beate Schirwitz & Christian Seiler & Klaus Wohlrabe, 2009. "Regional business cycles in Germany - Part 1: The data situation," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(13), pages 18-24, July.
    3. Wenzel, Lars, 2013. "Forecasting regional growth in Germany: A panel approach using business survey data," HWWI Research Papers 133, Hamburg Institute of International Economics (HWWI).
    4. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.

  61. Kholodilin Konstantin Arkadievich & Siliverstovs Boriss, 2006. "On the Forecasting Properties of the Alternative Leading Indicators for the German GDP: Recent Evidence," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(3), pages 234-259, June.
    See citations under working paper version above.
  62. Christian Dreger & Konstantin A. Kholodilin, 2006. "Prognosen der regionalen Konjunkturentwicklung," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 73(34), pages 469-474.

    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Wenzel, Lars & Wolf, André, 2013. "Short-term forecasting with business surveys: Evidence for German IHK data at federal state level," HWWI Research Papers 140, Hamburg Institute of International Economics (HWWI).
    3. Rüdiger Hamm, 2011. "Creative Class as a Determinant of Economic Development - Empirical Considerations for Northrhine-Westphalian Regions based on Time-Series Analysis," ERSA conference papers ersa11p828, European Regional Science Association.
    4. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.
    5. Robert Lehmann & Klaus Wohlrabe, 2014. "Regional economic forecasting: state-of-the-art methodology and future challenges," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 218-231.
    6. Robert Lehmann & Klaus Wohlrabe, 2012. "Forecasting GDP at the Regional Level with Many Predictors," CESifo Working Paper Series 3956, CESifo.
    7. Joachim Ragnitz & Stefan Arent & Wolfgang Nierhaus & Beate Schirwitz & Johannes Steinbrecher & Gerit Vogt & Björn Ziegenbalg, 2010. "Methodenexpertise zur Analyse der Auswirkungen der internationalen Finanz- und Wirtschaftskrise auf die Wirtschaft im Land Brandenburg : Gutachten im Auftrag des Ministeriums für Wirtschaft des Landes," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 53.
    8. Robert Lehmann & Klaus Wohlrabe, 2012. "Forecast of Gross Domestic Product at a Regional Level," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(21), pages 17-23, November.
    9. Beate Schirwitz & Christian Seiler & Klaus Wohlrabe, 2009. "Regional business cycles in Germany - Part 1: The data situation," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(13), pages 18-24, July.
    10. Wenzel, Lars, 2013. "Forecasting regional growth in Germany: A panel approach using business survey data," HWWI Research Papers 133, Hamburg Institute of International Economics (HWWI).
    11. Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones?," ifo Working Paper Series 171, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

  63. Konstantin Kholodilin & Vincent Wenxiong Yao, 2006. "Modelling the structural break in volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 417-422.

    Cited by:

    1. Fu-Wei Huang & Panpan Lin & Jyh-Horng Lin & Ching-Hui Chang, 2023. "The impact of war on insurer safety: a contingent claim model analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-6, December.
    2. Chen, Shi & Yang, Yang & Lin, Jyh-Horng, 2020. "Capped borrower credit risk and insurer hedging during the COVID-19 outbreak," Finance Research Letters, Elsevier, vol. 36(C).
    3. Li, Xuelian & Lin, Panpan & Lin, Jyh-Horng, 2020. "COVID-19, insurer board utility, and capital regulation," Finance Research Letters, Elsevier, vol. 36(C).
    4. Chen, Shi & Lin, Ku-Jun, 2016. "Effects of government capital injection on bank and bank-dependent borrower," Economic Modelling, Elsevier, vol. 52(PB), pages 618-629.
    5. Výrost, Tomáš & Baumöhl, Eduard & Lyócsa, Štefan, 2011. "On the relationship of persistence and number of breaks in volatility: new evidence for three CEE countries," MPRA Paper 27927, University Library of Munich, Germany.
    6. Huang, Fu-Wei & Chen, Shi & Lin, Jyh-Horng, 2022. "Free riding and insurer carbon-linked investment," Energy Economics, Elsevier, vol. 107(C).

  64. Kholodilin, Konstantin A. & Yao, Vincent W., 2005. "Measuring and predicting turning points using a dynamic bi-factor model," International Journal of Forecasting, Elsevier, vol. 21(3), pages 525-537.

    Cited by:

    1. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.
    2. Leiva-Leon Danilo, 2014. "Real vs. nominal cycles: a multistate Markov-switching bi-factor approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 1-24, December.
    3. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.
    4. Konstantin A. Kholodilin, 2006. "Using the Dynamic Bi-Factor Model with Markov Switching to Predict the Cyclical Turns in the Large European Economies," Discussion Papers of DIW Berlin 554, DIW Berlin, German Institute for Economic Research.
    5. Zhang, Wei & He, Jie & Ge, Chanyuan & Xue, Rui, 2022. "Real-time macroeconomic monitoring using mixed frequency data: Evidence from China," Economic Modelling, Elsevier, vol. 117(C).
    6. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.
    7. Beate Schirwitz, 2009. "A comprehensive German business cycle chronology," Empirical Economics, Springer, vol. 37(2), pages 287-301, October.
    8. Christian Schulz, 2008. "Forecasting economic activity for Estonia : The application of dynamic principal component analyses," Bank of Estonia Working Papers 2008-02, Bank of Estonia, revised 30 Oct 2008.
    9. Döhrn, Roland, 2010. "Konjunkturprognosen in bewegten Zeiten: Die Kunst des Unmöglichen?," RWI Materialien 62, RWI - Leibniz-Institut für Wirtschaftsforschung.
    10. Dovern, Jonas & Ziegler, Christina, 2008. "Predicting growth rates and recessions: assessing US leading indicators under real-time conditions," Kiel Working Papers 1397, Kiel Institute for the World Economy (IfW Kiel).
    11. Beate Schirwitz, 2013. "Business Fluctuations, Job Flows and Trade Unions - Dynamics in the Economy," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 47.
    12. Dovern, Jonas & Gern, Klaus-Jürgen & Meier, Carsten-Patrick & Oskamp, Frank & Sander, Birgit & Scheide, Joachim, 2007. "Weltkonjunktur verliert an Fahrt," Open Access Publications from Kiel Institute for the World Economy 4093, Kiel Institute for the World Economy (IfW Kiel).

  65. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Shirly Siew-Ling Wong & Toh-Hao Tan & Shazali Abu Mansor & Venus Khim-Sen Liew, 2018. "Rethinking and Moving Beyond GDP: A New Measure of Sarawak Economy Panorama," International Business Research, Canadian Center of Science and Education, vol. 11(12), pages 127-133, December.
    3. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    4. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    5. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    6. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.

  66. Konstantin Kholodilin, 2003. "US composite economic indicator with nonlinear dynamics and the data subject to structural breaks," Applied Economics Letters, Taylor & Francis Journals, vol. 10(6), pages 363-372.

    Cited by:

    1. A. C. -L. Chian & E. L. Rempel & C. Rogers, 2007. "Crisis-induced intermittency in non-linear economic cycles," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 211-218.

  67. Konstantin A. Kholodilin, 2002. "Some Evidence of Decreasing Volatility of the US Coincident Economic Indicator," Economics Bulletin, AccessEcon, vol. 3(20), pages 1-20.

    Cited by:

    1. Chen, Shyh-Wei & Shen, Chung-Hua, 2006. "Can the identification puzzle of Taiwan's turning points after 1990 be solved?," Economic Modelling, Elsevier, vol. 23(1), pages 174-195, January.

  68. Konstantin A. Kholodilin, 2002. "Two Alternative Approaches to Modelling the Nonlinear Dynamics of the Composite Economic Indicator," Economics Bulletin, AccessEcon, vol. 3(26), pages 1-18.
    See citations under working paper version above.
  69. Konstantin Kholodilin, 2001. "Latent Leading and Coincident Factors Model with Markov-Switching Dynamics," Economics Bulletin, AccessEcon, vol. 3(7), pages 1-13.

    Cited by:

    1. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.
    2. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.
    3. Konstantin A. Kholodilin, 2006. "Using the Dynamic Bi-Factor Model with Markov Switching to Predict the Cyclical Turns in the Large European Economies," Discussion Papers of DIW Berlin 554, DIW Berlin, German Institute for Economic Research.

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