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Nikos Askitas

Personal Details

First Name:Nikos
Middle Name:
Last Name:Askitas
Suffix:
RePEc Short-ID:pas55
http://www.iza.org/home/askitas
Schaumburg-Lippe-Strasse 5/9 D-53113, Bonn Germany
+49 228 3894 525
Twitter: @askitas

Affiliation

Institute of Labor Economics (IZA)

Bonn, Germany
http://www.iza.org/

:

P.O. Box 7240, D-53072 Bonn
RePEc:edi:izaaade (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Askitas, Nikos, 2017. "Opinion Copulas, Homophily and Multimodal Marginals," IZA Discussion Papers 10753, Institute for the Study of Labor (IZA).
  2. Askitas, Nikos, 2016. "Big Data Is a Big Deal But How Much Data Do We Need?," IZA Discussion Papers 9988, Institute for the Study of Labor (IZA).
  3. Askitas, Nikos, 2015. "Predicting the Irish "Gay Marriage" Referendum," IZA Discussion Papers 9570, Institute for the Study of Labor (IZA).
  4. Askitas, Nikos, 2015. "Trend-Spotting in the Housing Market," IZA Discussion Papers 9427, Institute for the Study of Labor (IZA).
  5. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute for the Study of Labor (IZA).
  6. Askitas, Nikos, 2015. "Predicting Road Conditions with Internet Search," IZA Discussion Papers 9503, Institute for the Study of Labor (IZA).
  7. Nikos Askitas, 2015. "Calling the Greek Referendum on the nose with Google Trends," Working Paper Series of the German Council for Social and Economic Data 249, German Council for Social and Economic Data (RatSWD).
  8. Askitas, Nikos, 2014. "Selfish Altruism, Fierce Cooperation and the Emergence of Cooperative Equilibria from Passing and Shooting," IZA Discussion Papers 7896, Institute for the Study of Labor (IZA).
  9. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Detecting Mortgage Delinquencies," IZA Discussion Papers 5895, Institute for the Study of Labor (IZA).
  10. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Health and Well-Being in the Crisis," IZA Discussion Papers 5601, Institute for the Study of Labor (IZA).
  11. Askitas, Nikos & Zimmermann, Klaus F., 2011. "The Toll Index: Innovation-based Economic Telemetry," IZA Policy Papers 31, Institute for the Study of Labor (IZA).
  12. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Nowcasting Business Cycles Using Toll Data," IZA Discussion Papers 5522, Institute for the Study of Labor (IZA).
  13. Nikos Askitas, 2010. "What Makes Persistent Identifiers Persistent?," Working Paper Series of the German Council for Social and Economic Data 147, German Council for Social and Economic Data (RatSWD).
  14. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Prognosen aus dem Internet: Weitere Erholung am Arbeitsmarkt erwartet," IZA Standpunkte 13, Institute for the Study of Labor (IZA).
  15. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Google Econometrics and Unemployment Forecasting," IZA Discussion Papers 4201, Institute for the Study of Labor (IZA).
  16. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Googlemetrie und Arbeitsmarkt in der Wirtschaftskrise," IZA Standpunkte 17, Institute for the Study of Labor (IZA).

Articles

  1. Nikolaos Askitas, 2016. "Big Data is a big deal but how much data do we need?
    [Big Data gut und schön. Aber wie viel Data brauchen wir?]
    ," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 113-125, October.
  2. Nikolaos Askitas, 2015. "Google search activity data and breaking trends," IZA World of Labor, Institute for the Study of Labor (IZA), pages 206-206, November.
  3. Nikolaos Askitas & Klaus F. Zimmermann, 2015. "Health and well-being in the great recession," International Journal of Manpower, Emerald Group Publishing, vol. 36(1), pages 26-47, April.
  4. Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The internet as a data source for advancement in social sciences," International Journal of Manpower, Emerald Group Publishing, vol. 36(1), pages 2-12, April.
  5. Nikolaos Askitas & Klaus F. Zimmermann, 2013. "Nowcasting Business Cycles Using Toll Data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(4), pages 299-306, July.
  6. Nikos Askitas & Klaus Zimmermann, 2009. "Googlemetrie und Arbeitsmarkt," Wirtschaftsdienst, Springer;German National Library of Economics, vol. 89(7), pages 489-496, July.
  7. Nikos Askitas & Klaus F. Zimmermann, 2009. "Prognosen aus dem Internet: weitere Erholung am Arbeitsmarkt erwartet," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 76(25), pages 402-408.
  8. Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
  9. Nikos Askitas & Klaus F. Zimmermann, 2009. "Sommerpause bei der Arbeitslosigkeit: Google-gestützte Prognose signalisiert Entspannung," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 76(33), pages 561-566.
  10. Nikos Askitas & Klaus F. Zimmermann, 2009. "A Summer Break for the Unemployment Rate: Google-Assisted Forecasting Signals Easing," Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 5(25), pages 176-181.

Software components

  1. Nikos Askitas, 2011. "USD: Stata module to get US dollar exchange rates from the Federal Reserve," Statistical Software Components S457262, Boston College Department of Economics.
  2. Nikos Askitas, 2011. "WEEKLYCLAIMS: Stata module to Get Weekly Initial Jobless Claims from the US Dept. of Labor," Statistical Software Components S457249, Boston College Department of Economics, revised 17 Jun 2012.
  3. Nikos Askitas & Dan Blanchette, 2009. "RCD: Stata module to run commands recursively," Statistical Software Components S457024, Boston College Department of Economics, revised 26 Feb 2011.
  4. Nikos Askitas, 2009. "GREP: Stata module to search within your datasets for keywords," Statistical Software Components S457002, Boston College Department of Economics, revised 28 Mar 2009.
  5. Nikos Askitas, 2008. "METADATA: Stata module to enable access to metadata," Statistical Software Components S456988, Boston College Department of Economics, revised 05 Jan 2009.
  6. Nikos Askitas, 2008. "STOCKQUOTE: Stata module to retrieve stock quotes to a Stata-formatted dataset," Statistical Software Components S456990, Boston College Department of Economics, revised 30 Dec 2008.
  7. Nikos Askitas, 2007. "MAIL: Stata module to send progress reports (Mac OSX/Linux/Unix)," Statistical Software Components S456830, Boston College Department of Economics, revised 24 Apr 2007.
  8. Nikos Askitas, 2007. "GZIPUSE: Stata module to use and save compressed dta files and compress .dta files," Statistical Software Components S456838, Boston College Department of Economics, revised 18 Apr 2007.
  9. Nikos Askitas, 2007. "BENFORD: Stata module to test Benford's Law on a variable," Statistical Software Components S456831, Boston College Department of Economics, revised 23 May 2007.
  10. Nikos Askitas, 2007. "ASHELL: Stata module to capture output from OS shell command," Statistical Software Components S456833, Boston College Department of Economics, revised 05 Feb 2009.

Citations

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

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Google Econometrics and Unemployment Forecasting," IZA Discussion Papers 4201, Institute for the Study of Labor (IZA).

    Mentioned in:

    1. Measuring unemployment with Google
      by Economic Logician in Economic Logic on 2009-07-01 13:02:00

Working papers

  1. Askitas, Nikos, 2016. "Big Data Is a Big Deal But How Much Data Do We Need?," IZA Discussion Papers 9988, Institute for the Study of Labor (IZA).

    Cited by:

    1. Engels, Barbara, 2016. "Big-Data-Analyse: Ein Einstieg für Ökonomen," IW-Kurzberichte 78.2016, Institut der deutschen Wirtschaft Köln (IW) / Cologne Institute for Economic Research.
    2. Ralf Thomas Münnich & Markus Zwick, 2016. "Big Data und was nun? Neue Datenbestände und ihre Auswirkungen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 73-77, October.

  2. Askitas, Nikos, 2015. "Predicting the Irish "Gay Marriage" Referendum," IZA Discussion Papers 9570, Institute for the Study of Labor (IZA).

    Cited by:

    1. 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.

  3. Askitas, Nikos, 2015. "Trend-Spotting in the Housing Market," IZA Discussion Papers 9427, Institute for the Study of Labor (IZA).

    Cited by:

    1. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.

  4. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute for the Study of Labor (IZA).

    Cited by:

    1. Brian Fabo & Miroslav Beblavý & Karolien Lenaerts, 2017. "The importance of foreign language skills in the labour markets of Central and Eastern Europe: assessment based on data from online job portals," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 487-508, August.
    2. Askitas, Nikos, 2016. "Big Data Is a Big Deal But How Much Data Do We Need?," IZA Discussion Papers 9988, Institute for the Study of Labor (IZA).
    3. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    4. Stefano Visintin & Kea Tijdens & Maarten van Klaveren, 2015. "Skill mismatch among migrant workers: evidence from a large multi-country dataset," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    5. Lucia Mýtna Kureková & Zuzana Žilinčíková, 2016. "Are student jobs flexible jobs? Using online data to study employers’ preferences in Slovakia," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-14, December.
    6. Beblavý, Miroslav & Fabo, Brian & Lenaerts, Karolien, 2016. "Skills Requirements for the 30 Most-Frequently Advertised Occupations in the United States: An analysis based on online vacancy data," CEPS Papers 11406, Centre for European Policy Studies.
    7. Karolien Lenaerts & Miroslav Beblavý & Brian Fabo, 2016. "Prospects for utilisation of non-vacancy Internet data in labour market analysis—an overview," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
    8. Alessia Naccarato & Andrea Pierini & Stefano Falorsi, 2015. "Using Google Trend Data To Predict The Italian Unemployment Rate," Departmental Working Papers of Economics - University 'Roma Tre' 0203, Department of Economics - University Roma Tre.
    9. Nikolaos Askitas, 2015. "Google search activity data and breaking trends," IZA World of Labor, Institute for the Study of Labor (IZA), pages 206-206, November.
    10. Javier Sebastian, 2016. "Blockchain in financial services: Regulatory landscape and future challenges," Working Papers 16/21, BBVA Bank, Economic Research Department.
    11. D’Amuri, Francesco & Marcucci, Juri, 2017. "The predictive power of Google searches in forecasting US unemployment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 801-816.
    12. Stefano Visintin & Kea Tijdens & Stephanie Steinmetz & Pablo de Pedraza, 2015. "Task implementation heterogeneity and wage dispersion," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-24, December.
    13. Naccarato, Alessia & Falorsi, Stefano & Loriga, Silvia & Pierini, Andrea, 2018. "Combining official and Google Trends data to forecast the Italian youth unemployment rate," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 114-122.
    14. Kureková, Lucia Mýtna & Žilin?íková, Zuzana, 2016. "What is the Value of Foreign Work Experience? Analysing Online CV Data in Slovakia," IZA Discussion Papers 9921, Institute for the Study of Labor (IZA).
    15. Lucia Kureková & Miroslav Beblavý & Anna Thum-Thysen, 2015. "Using online vacancies and web surveys to analyse the labour market: a methodological inquiry," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
    16. Kureková, Lucia Mýtna & Žilin?íková, Zuzana, 2015. "Low-Skilled Jobs and Student Jobs: Employers' Preferences in Slovakia and the Czech Republic," IZA Discussion Papers 9145, Institute for the Study of Labor (IZA).

  5. Nikos Askitas, 2015. "Calling the Greek Referendum on the nose with Google Trends," Working Paper Series of the German Council for Social and Economic Data 249, German Council for Social and Economic Data (RatSWD).

    Cited by:

    1. Askitas, Nikos, 2015. "Trend-Spotting in the Housing Market," IZA Discussion Papers 9427, Institute for the Study of Labor (IZA).
    2. 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.

  6. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Detecting Mortgage Delinquencies," IZA Discussion Papers 5895, Institute for the Study of Labor (IZA).

    Cited by:

    1. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute for the Study of Labor (IZA).
    2. Askitas, Nikos, 2015. "Trend-Spotting in the Housing Market," IZA Discussion Papers 9427, Institute for the Study of Labor (IZA).
    3. Guzi, Martin & de Pedraza, Pablo, 2013. "A Web Survey Analysis of the Subjective Well-being of Spanish Workers," IZA Discussion Papers 7618, Institute for the Study of Labor (IZA).
    4. Nikolaos Askitas, 2015. "Google search activity data and breaking trends," IZA World of Labor, Institute for the Study of Labor (IZA), pages 206-206, November.
    5. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.

  7. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Health and Well-Being in the Crisis," IZA Discussion Papers 5601, Institute for the Study of Labor (IZA).

    Cited by:

    1. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute for the Study of Labor (IZA).
    2. Katolik, Aleksandra & Oswald, Andrew J., 2017. "Antidepressants for Economists and Business-School Researchers: An Introduction and Review," IZA Discussion Papers 10959, Institute for the Study of Labor (IZA).
    3. Kronenberg, C. & Jacobs, R. & Zucchelli, E., 2015. "The impact of a wage increase on mental health: Evidence from the UK minimum wage," Health, Econometrics and Data Group (HEDG) Working Papers 15/08, HEDG, c/o Department of Economics, University of York.
    4. Frijters, Paul & Johnston, David W. & Lordan, Grace & Shields, Michael A., 2013. "Exploring the relationship between macroeconomic conditions and problem drinking as captured by Google searches in the US," Social Science & Medicine, Elsevier, vol. 84(C), pages 61-68.
    5. Guzi, Martin & de Pedraza, Pablo, 2013. "A Web Survey Analysis of the Subjective Well-being of Spanish Workers," IZA Discussion Papers 7618, Institute for the Study of Labor (IZA).
    6. Blanchflower, David G. & Oswald, Andrew J., 2011. "Antidepressants and Age," IZA Discussion Papers 5785, Institute for the Study of Labor (IZA).
    7. Blanchflower, David G. & Oswald, Andrew J., 2016. "Antidepressants and age: A new form of evidence for U-shaped well-being through life," Journal of Economic Behavior & Organization, Elsevier, vol. 127(C), pages 46-58.
    8. Alberto Montagnoli & Mirko Moro, 2014. "Everybody Hurts: Banking Crises and Individual Wellbeing," Working Papers 2014010, The University of Sheffield, Department of Economics.
    9. Gábor Hajdu & Tamás Hajdu, 2016. "The Impact of Culture on Well-Being: Evidence from a Natural Experiment," Journal of Happiness Studies, Springer, vol. 17(3), pages 1089-1110, June.
    10. Askitas, Nikos, 2015. "Calling the Greek Referendum on the Nose with Google Trends," IZA Discussion Papers 9569, Institute for the Study of Labor (IZA).
    11. Nikolaos Askitas, 2015. "Google search activity data and breaking trends," IZA World of Labor, Institute for the Study of Labor (IZA), pages 206-206, November.
    12. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Detecting Mortgage Delinquencies," IZA Discussion Papers 5895, Institute for the Study of Labor (IZA).

  8. Askitas, Nikos & Zimmermann, Klaus F., 2011. "The Toll Index: Innovation-based Economic Telemetry," IZA Policy Papers 31, Institute for the Study of Labor (IZA).

    Cited by:

    1. Döhrn, Roland, 2013. "Transportation Data as a Tool for Nowcasting Economic Activity – The German Road Pricing System as an Example," Ruhr Economic Papers 395, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  9. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Nowcasting Business Cycles Using Toll Data," IZA Discussion Papers 5522, Institute for the Study of Labor (IZA).

    Cited by:

    1. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute for the Study of Labor (IZA).
    2. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    3. Roland Döhrn & Sönke Maatsch, 2012. "Der RWI/ISL-Containerumschlag-Index," Wirtschaftsdienst, Springer;German National Library of Economics, vol. 92(5), pages 352-354, May.
    4. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
    5. Döhrn, Roland, 2013. "Transportation Data as a Tool for Nowcasting Economic Activity – The German Road Pricing System as an Example," Ruhr Economic Papers 395, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  10. Nikos Askitas, 2010. "What Makes Persistent Identifiers Persistent?," Working Paper Series of the German Council for Social and Economic Data 147, German Council for Social and Economic Data (RatSWD).

    Cited by:

    1. Brigitte Hausstein, 2012. "Die Vergabe von DOI-Namen für Sozialund Wirtschaftsdaten Serviceleistungen der Registrierungsagentur da|ra," Working Paper Series of the German Council for Social and Economic Data 193, German Council for Social and Economic Data (RatSWD).

  11. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Prognosen aus dem Internet: Weitere Erholung am Arbeitsmarkt erwartet," IZA Standpunkte 13, Institute for the Study of Labor (IZA).

    Cited by:

    1. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Googlemetrie und Arbeitsmarkt in der Wirtschaftskrise," IZA Standpunkte 17, Institute for the Study of Labor (IZA).

  12. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Google Econometrics and Unemployment Forecasting," IZA Discussion Papers 4201, Institute for the Study of Labor (IZA).

    Cited by:

    1. Christian Hutter & Enzo Weber, 2015. "Constructing a new leading indicator for unemployment from a survey among German employment agencies," Applied Economics, Taylor & Francis Journals, vol. 47(33), pages 3540-3558, July.
    2. Jorge M. Agüero & Trinidad Beleche, 2016. "Health Shocks and the Long-Lasting Change in Health Behaviors: Evidence from Mexico," Working papers 2016-26, University of Connecticut, Department of Economics.
    3. Nathan, Max & Rosso, Anna, 2015. "Mapping digital businesses with big data: Some early findings from the UK," Research Policy, Elsevier, vol. 44(9), pages 1714-1733.
    4. 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.
    5. Oestmann, Marco & Bennöhr, Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113198, Verein für Socialpolitik / German Economic Association.
    6. Brian Fabo & Miroslav Beblavý & Karolien Lenaerts, 2017. "The importance of foreign language skills in the labour markets of Central and Eastern Europe: assessment based on data from online job portals," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 487-508, August.
    7. Pavlicek, Jaroslav & Kristoufek, Ladislav, 2015. "Nowcasting unemployment rates with Google searches: Evidence from the Visegrad Group countries," FinMaP-Working Papers 34, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    8. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute for the Study of Labor (IZA).
    9. Max Nathan & Anna Rosso, 2014. "Mapping Information Economy Business with Big Data: Findings from the UK," National Institute of Economic and Social Research (NIESR) Discussion Papers 442, National Institute of Economic and Social Research.
    10. 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.
    11. Semen Son-Turan, 2016. "The Impact of Investor Sentiment on the "Leverage Effect"," International Econometric Review (IER), Econometric Research Association, vol. 8(1), pages 4-18, April.
    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. Fantazzini, Dean & Toktamysova, Zhamal, 2015. "Forecasting German Car Sales Using Google Data and Multivariate Models," MPRA Paper 67110, University Library of Munich, Germany.
    14. 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.
    15. Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
    16. Jacques Bughin, 2015. "Google searches and twitter mood: nowcasting telecom sales performance," Netnomics, Springer, vol. 16(1), pages 87-105, August.
    17. Christoph Safferling & Aaron Lowen, 2011. "Economics in the Kingdom of Loathing: Analysis of Virtual Market Data," Working Paper Series of the Department of Economics, University of Konstanz 2011-30, Department of Economics, University of Konstanz.
    18. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Prognosen aus dem Internet: Weitere Erholung am Arbeitsmarkt erwartet," IZA Standpunkte 13, Institute for the Study of Labor (IZA).
    19. Agüero, Jorge M. & Beleche, Trinidad, 2017. "Health shocks and their long-lasting impact on health behaviors: Evidence from the 2009 H1N1 pandemic in Mexico," Journal of Health Economics, Elsevier, vol. 54(C), pages 40-55.
    20. Hou, Xiaohui & Gao, Zhixian & Wang, Qing, 2016. "Internet finance development and banking market discipline: Evidence from China," Journal of Financial Stability, Elsevier, vol. 22(C), pages 88-100.
    21. Levent Bulut, 2015. "Google Trends and Forecasting Performance of Exchange Rate Models," IPEK Working Papers 1505, Ipek University, Department of Economics.
    22. Kovács, Olivér, 2017. "Az ipar 4.0 komplexitása - II
      [The Complexity of Industry 4.0 - Part 2]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 970-987.
    23. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    24. 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.
    25. Mohamed Arouri & Amal Aouadi & Philippe Foulquier & Frédéric Teulon, 2013. "Can Information Demand Help to Predict Stock Market Liquidity ? Google it !," Working Papers 2013-24, Department of Research, Ipag Business School.
    26. Simeon Vosen & Torsten Schmidt, 2012. "A monthly consumption indicator for Germany based on Internet search query data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(7), pages 683-687, May.
    27. Monokroussos, George, 2015. "Nowcasting in Real Time Using Popularity Priors," MPRA Paper 68594, University Library of Munich, Germany.
    28. Dorinth van Dijk & Marc Francke, 2015. "Internet search behavior, liquidity and prices in the housing market," DNB Working Papers 481, Netherlands Central Bank, Research Department.
    29. Tierney, Heather L.R. & Pan, Bing, 2009. "A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries," MPRA Paper 19895, University Library of Munich, Germany, revised 10 Jan 2010.
    30. Huang, Xiankai & Zhang, Lifeng & Ding, Yusi, 2017. "The Baidu Index: Uses in predicting tourism flows –A case study of the Forbidden City," Tourism Management, Elsevier, vol. 58(C), pages 301-306.
    31. Dimpfl, Thomas & Langen, Tobias, 2015. "A Cross-Country Analysis of Unemployment and Bonds with Long-Memory Relations," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112921, Verein für Socialpolitik / German Economic Association.
    32. Tefft, Nathan, 2011. "Insights on unemployment, unemployment insurance, and mental health," Journal of Health Economics, Elsevier, vol. 30(2), pages 258-264, March.
    33. Mirko Seithe & Lena Calahorrano, 2014. "Analysing Party Preferences Using Google Trends," CESifo Working Paper Series 4631, CESifo Group Munich.
    34. Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
    35. Aleksandar Bradic, 2012. "The Role of Social Feedback in Financing of Technology Ventures," Papers 1301.2196, arXiv.org.
    36. Latoeiro, Pedro & Ramos, Sofía B. & Veiga, Helena, 2013. "Predictability of stock market activity using Google search queries," DES - Working Papers. Statistics and Econometrics. WS ws130605, Universidad Carlos III de Madrid. Departamento de Estadística.
    37. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy (IfW).
    38. D'Amuri, Francesco/FD & Marcucci, Juri/JM, 2009. ""Google it!" Forecasting the US unemployment rate with a Google job search index," MPRA Paper 18248, University Library of Munich, Germany.
    39. Schmitz, Sebastian, 2017. "The effects of Germany's new minimum wage on employment and welfare dependency," Discussion Papers 2017/21, Free University Berlin, School of Business & Economics.
    40. 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.
    41. Jan Goebel & Christian Krekel & Tim Tiefenbach & Nicholas R. Ziebarth, 2014. "Natural Disaster, Environmental Concerns, Well-Being and Policy Action," CINCH Working Paper Series 1405, Universitaet Duisburg-Essen, Competent in Competition and Health.
    42. Nuarpear Warn Lekfuangfu & Voraprapa Nakavachara & Paphatsorn Sawaengsuksant, 2017. "Glancing at Labour Market Mismatch with User-generated Internet Data," PIER Discussion Papers 53, Puey Ungphakorn Institute for Economic Research, revised Jan 2017.
    43. Calahorrano, Lena & Seithe, Mirko, 2014. "Analysing Party Preferences Using Google Trends," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100294, Verein für Socialpolitik / German Economic Association.
    44. Yann Algan & Elizabeth Beasley & Florian Guyot & Kazuhito Higad & Fabrice Murtin & Claudia Senik, 2015. "Big Data Measures of Well-Being: Evidence from a Google Well-Being Index in the US," Sciences Po publications info:hdl:2441/5k53daedc28, Sciences Po.
    45. Grazia Biorci & Antonella Emina & Michelangelo Puliga & Lisa Sella & Gianna Vivaldo, 2016. "Tweet-tales: moods of socio-economic crisis?," Working Papers 04/2016, IMT Institute for Advanced Studies Lucca, revised Jul 2016.
    46. Bouoiyour, Jamal & Selmi, Refk & Tiwari, Aviral, 2014. "Is Bitcoin business income or speculative bubble? Unconditional vs. conditional frequency domain analysis," MPRA Paper 59595, University Library of Munich, Germany.
    47. Jaroslav Pavlicek & Ladislav Kristoufek, 2014. "Can Google searches help nowcast and forecast unemployment rates in the Visegrad Group countries?," Papers 1408.6639, arXiv.org.
    48. Döhrn, Roland & Mitze, Timo & Schmidt, Torsten & Tauchmann, Harald & Vosen, Simeon, 2010. "Analyse und Prognose des Spar- und Konsumverhaltens privater Haushalte: Endbericht - November 2010," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 69982, March.
    49. Kureková, Lucia Mýtna & Beblavy, Miroslav & Thum, Anna-Elisabeth, 2014. "Using Internet Data to Analyse the Labour Market: A Methodological Enquiry," IZA Discussion Papers 8555, Institute for the Study of Labor (IZA).
    50. 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.
    51. Karolien Lenaerts & Miroslav Beblavý & Brian Fabo, 2016. "Prospects for utilisation of non-vacancy Internet data in labour market analysis—an overview," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
    52. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Googlemetrie und Arbeitsmarkt in der Wirtschaftskrise," IZA Standpunkte 17, Institute for the Study of Labor (IZA).
    53. Simeon Vosen & Torsten Schmidt, 2011. "Forecasting private consumption: survey‐based indicators vs. Google trends," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(6), pages 565-578, September.
    54. Francesco, D'Amuri, 2009. "Predicting unemployment in short samples with internet job search query data," MPRA Paper 18403, University Library of Munich, Germany.
    55. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
    56. McLaren, Nick & Shanbhogue, Rachana, 2011. "Using internet search data as economic indicators," Bank of England Quarterly Bulletin, Bank of England, vol. 51(2), pages 134-140.
    57. Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
    58. 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.
    59. Maria De Paola & Vincenzo Scoppa, 2010. "Consumers’ Reactions To Negative Information On Product Quality: Evidence From Scanner Data," Working Papers 201012, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    60. Alessia Naccarato & Andrea Pierini & Stefano Falorsi, 2015. "Using Google Trend Data To Predict The Italian Unemployment Rate," Departmental Working Papers of Economics - University 'Roma Tre' 0203, Department of Economics - University Roma Tre.
    61. Nikolaos Askitas, 2015. "Google search activity data and breaking trends," IZA World of Labor, Institute for the Study of Labor (IZA), pages 206-206, November.
    62. Max Nathan & Anna Rosso, 2014. "Mapping Information Economy Businesses with Big Data: Findings for the UK," CEP Occasional Papers 44, Centre for Economic Performance, LSE.
    63. Schmidt, Torsten & Vosen, Simeon, 2012. "Using Internet Data to Account for Special Events in Economic Forecasting," Ruhr Economic Papers 382, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    64. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    65. Francesco D'Amuri & Juri Marcucci, 2012. "The predictive power of Google searches in forecasting unemployment," Temi di discussione (Economic working papers) 891, Bank of Italy, Economic Research and International Relations Area.
    66. D’Amuri, Francesco & Marcucci, Juri, 2017. "The predictive power of Google searches in forecasting US unemployment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 801-816.
    67. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    68. Peter Kuhn, 2014. "The internet as a labor market matchmaker," IZA World of Labor, Institute for the Study of Labor (IZA), pages 1-18, May.
    69. Maria De Paola & Vincenzo Scoppa & Valeria Pupo, 2014. "Absenteeism in the Italian Public Sector: The Effects of Changes in Sick Leave Policy," Journal of Labor Economics, University of Chicago Press, vol. 32(2), pages 337-360.
    70. Fantazziini, Dean, 2014. "Nowcasting and Forecasting the Monthly Food Stamps Data in the US using Online Search Data," MPRA Paper 59696, University Library of Munich, Germany.
    71. Scheffel, Eric Michael, 2012. "Political uncertainty in a data-rich environment," MPRA Paper 37318, University Library of Munich, Germany.
    72. Jan Goebel & Christian Krekel & Tim Tiefenbach & Nicolas R. Ziebarth, 2015. "How Natural Disasters Can Affect Environmental Concerns, Risk Aversion, and Even Politics: Evidence from Fukushima and Three European Countries," SOEPpapers on Multidisciplinary Panel Data Research 762, DIW Berlin, The German Socio-Economic Panel (SOEP).
    73. Zeynalov, Ayaz, 2014. "Nowcasting Tourist Arrivals to Prague: Google Econometrics," MPRA Paper 60945, University Library of Munich, Germany.
    74. Bangwayo-Skeete, Prosper F. & Skeete, Ryan W., 2015. "Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach," Tourism Management, Elsevier, vol. 46(C), pages 454-464.
    75. Zeynalov, Ayaz, 2017. "Forecasting Tourist Arrivals in Prague: Google Econometrics," MPRA Paper 83268, University Library of Munich, Germany.
    76. Naccarato, Alessia & Falorsi, Stefano & Loriga, Silvia & Pierini, Andrea, 2018. "Combining official and Google Trends data to forecast the Italian youth unemployment rate," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 114-122.
    77. 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.
    78. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
    79. Johannes Bock, 2018. "Quantifying macroeconomic expectations in stock markets using Google Trends," Papers 1805.00268, arXiv.org.
    80. Branislav Saxa, 2014. "Forecasting Mortgages: Internet Search Data as a Proxy for Mortgage Credit Demand," Working Papers 2014/14, Czech National Bank, Research Department.
    81. Vakrman, Tomas & Kristoufek, Ladislav, 2015. "Underpricing, underperformance and overreaction in initial pubic offerings: Evidence from investor attention using online searches," FinMaP-Working Papers 35, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    82. Tuhkuri, Joonas, 2016. "ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe," ETLA Reports 54, The Research Institute of the Finnish Economy.
    83. 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.
    84. Lucia Kureková & Miroslav Beblavý & Anna Thum-Thysen, 2015. "Using online vacancies and web surveys to analyse the labour market: a methodological inquiry," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
    85. Botezat, Alina, 2017. "Austerity plan announcements and the impact on the employees’ wellbeing," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 1-16.
    86. Voraprapa Nakavachara & Nuarpear Warn Lekfuangfu, 2017. "Predicting the Present Revisited: The Case of Thailand," PIER Discussion Papers 70, Puey Ungphakorn Institute for Economic Research, revised Oct 2017.
    87. Florian Schaffner, 2015. "Predicting US bank failures with internet search volume data," ECON - Working Papers 214, Department of Economics - University of Zurich.
    88. Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
    89. Dean Fantazzini & Mario Maggi, 2014. "Proposed Coal Power Plants and Coal-To-Liquids Plants: Which Ones Survive and Why?," DEM Working Papers Series 082, University of Pavia, Department of Economics and Management.
    90. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Detecting Mortgage Delinquencies," IZA Discussion Papers 5895, Institute for the Study of Labor (IZA).
    91. 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.
    92. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
    93. Pin Guo & Yue Shen, 2016. "The impact of Internet finance on commercial banks’ risk taking: evidence from China," China Finance and Economic Review, Springer, vol. 4(1), pages 1-19, December.

  13. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Googlemetrie und Arbeitsmarkt in der Wirtschaftskrise," IZA Standpunkte 17, Institute for the Study of Labor (IZA).

    Cited by:

    1. Jan Goebel & Christian Krekel & Tim Tiefenbach & Nicholas R. Ziebarth, 2014. "Natural Disaster, Environmental Concerns, Well-Being and Policy Action," CINCH Working Paper Series 1405, Universitaet Duisburg-Essen, Competent in Competition and Health.

Articles

  1. Nikolaos Askitas, 2016. "Big Data is a big deal but how much data do we need?
    [Big Data gut und schön. Aber wie viel Data brauchen wir?]
    ," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 113-125, October.
    See citations under working paper version above.
  2. Nikolaos Askitas, 2015. "Google search activity data and breaking trends," IZA World of Labor, Institute for the Study of Labor (IZA), pages 206-206, November.

    Cited by:

    1. Askitas, Nikos, 2015. "Predicting Road Conditions with Internet Search," IZA Discussion Papers 9503, Institute for the Study of Labor (IZA).
    2. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).

  3. Nikolaos Askitas & Klaus F. Zimmermann, 2015. "Health and well-being in the great recession," International Journal of Manpower, Emerald Group Publishing, vol. 36(1), pages 26-47, April.

    Cited by:

    1. 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.
    2. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
    3. Yu Qin & Hongjia Zhu, 2018. "Run away? Air pollution and emigration interests in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(1), pages 235-266, January.
    4. Botezat, Alina, 2017. "Austerity plan announcements and the impact on the employees’ wellbeing," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 1-16.

  4. Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The internet as a data source for advancement in social sciences," International Journal of Manpower, Emerald Group Publishing, vol. 36(1), pages 2-12, April.
    See citations under working paper version above.
  5. Nikolaos Askitas & Klaus F. Zimmermann, 2013. "Nowcasting Business Cycles Using Toll Data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(4), pages 299-306, July.
    See citations under working paper version above.
  6. Nikos Askitas & Klaus Zimmermann, 2009. "Googlemetrie und Arbeitsmarkt," Wirtschaftsdienst, Springer;German National Library of Economics, vol. 89(7), pages 489-496, July.

    Cited by:

    1. Jan Goebel & Christian Krekel & Tim Tiefenbach & Nicholas R. Ziebarth, 2014. "Natural Disaster, Environmental Concerns, Well-Being and Policy Action," CINCH Working Paper Series 1405, Universitaet Duisburg-Essen, Competent in Competition and Health.
    2. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Googlemetrie und Arbeitsmarkt in der Wirtschaftskrise," IZA Standpunkte 17, Institute for the Study of Labor (IZA).

  7. Nikos Askitas & Klaus F. Zimmermann, 2009. "Prognosen aus dem Internet: weitere Erholung am Arbeitsmarkt erwartet," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 76(25), pages 402-408.
    See citations under working paper version above.
  8. Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
    See citations under working paper version above.

Software components

  1. Nikos Askitas, 2011. "WEEKLYCLAIMS: Stata module to Get Weekly Initial Jobless Claims from the US Dept. of Labor," Statistical Software Components S457249, Boston College Department of Economics, revised 17 Jun 2012.

    Cited by:

    1. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Detecting Mortgage Delinquencies," IZA Discussion Papers 5895, Institute for the Study of Labor (IZA).

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 19 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ICT: Information & Communication Technologies (7) 2009-06-03 2009-07-03 2010-03-06 2015-03-22 2015-09-11 2015-12-01 2016-03-10. Author is listed
  2. NEP-FOR: Forecasting (5) 2009-06-03 2009-07-03 2011-03-05 2015-12-01 2016-03-10. Author is listed
  3. NEP-CDM: Collective Decision-Making (3) 2016-01-03 2016-01-03 2017-05-28
  4. NEP-POL: Positive Political Economics (3) 2010-10-09 2016-01-03 2016-01-03
  5. NEP-TRE: Transport Economics (3) 2012-02-27 2015-12-01 2016-03-10
  6. NEP-CMP: Computational Economics (2) 2016-01-03 2016-01-03
  7. NEP-GER: German Papers (2) 2010-03-06 2010-03-06
  8. NEP-HAP: Economics of Happiness (2) 2011-04-09 2015-03-22
  9. NEP-HPE: History & Philosophy of Economics (2) 2010-10-09 2014-02-02
  10. NEP-MAC: Macroeconomics (2) 2011-03-05 2015-10-25
  11. NEP-URE: Urban & Real Estate Economics (2) 2011-08-15 2015-10-25
  12. NEP-BEC: Business Economics (1) 2011-03-05
  13. NEP-CIS: Confederation of Independent States (1) 2011-10-22
  14. NEP-ECM: Econometrics (1) 2009-06-03
  15. NEP-EVO: Evolutionary Economics (1) 2014-02-02
  16. NEP-HEA: Health Economics (1) 2011-04-09
  17. NEP-LTV: Unemployment, Inequality & Poverty (1) 2011-04-09
  18. NEP-NET: Network Economics (1) 2016-06-25
  19. NEP-PAY: Payment Systems & Financial Technology (1) 2016-06-25
  20. NEP-SOC: Social Norms & Social Capital (1) 2014-02-02

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