Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Kursa, Miron B. & Rudnicki, Witold R., 2010. "Feature Selection with the Boruta Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i11).
- Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2020.
"Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims,"
Journal of Public Economics, Elsevier, vol. 189(C).
- Lisa B. Kahn & Fabian Lange & David Wiczer, 2020. "Labor Demand in the Time of COVID-19: Evidence from Vacancy Postings and UI Claims," Cahiers de recherche 09-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Lisa B Kahn & Fabian Lange & David Wiczer, 2020. "Labor Demand in the time of COVID-19: Evidence from vacancy postings and UI claims," Department of Economics Working Papers 20-05, Stony Brook University, Department of Economics.
- Eliza Forsythe & Lisa B. Kahn & Fabian Lange & David G. Wiczer, 2020. "Labor Demand in the time of COVID-19: Evidence from vacancy postings and UI claims," NBER Working Papers 27061, National Bureau of Economic Research, Inc.
- Fondeur, Y. & Karamé, F., 2013.
"Can Google data help predict French youth unemployment?,"
Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
- Frédéric Karamé & Yannick Fondeur, 2012. "Can Google Data Help Predict French Youth Unemployment?," Documents de recherche 12-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
- Y. Fondeur & F. Karamé, 2013. "Can Google data help predict French youth unemployment?," Post-Print hal-02297071, HAL.
- Hamid, Alain & Heiden, Moritz, 2015. "Forecasting volatility with empirical similarity and Google Trends," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 62-81.
- Ayşegül Şahin & Murat Tasci, 2020. "The Unemployment Cost of COVID-19: How High and How Long?," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2020(09), May.
- Stephens-Davidowitz, Seth, 2014. "The cost of racial animus on a black candidate: Evidence using Google search data," Journal of Public Economics, Elsevier, vol. 118(C), pages 26-40.
- Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020.
"Inequality in the impact of the coronavirus shock: Evidence from real time surveys,"
Journal of Public Economics, Elsevier, vol. 189(C).
- Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the Impact of the Coronavirus Shock: Evidence from Real Time Surveys," IZA Discussion Papers 13183, Institute of Labor Economics (IZA).
- Abi Adams-Prassl & Teodora Boneva & Marta Golin & Christopher Rauh, 2020. "Inequality in the Impact of the Coronavirus Shock: Evidence from Real Time Surveys," CESifo Working Paper Series 8265, CESifo.
- Adams-Prassl, A. & Boneva, T. & Golin, M & Rauh, C., 2020. "Inequality in the Impact of the Coronavirus Shock: Evidence from Real Time Surveys," Cambridge Working Papers in Economics 2032, Faculty of Economics, University of Cambridge.
- Adams-Prassl, Abigail & Boneva, Teodora & Rauh, Christopher & Golin, Marta, 2020. "Inequality in the Impact of the Coronavirus Shock: Evidence from Real Time Surveys," CEPR Discussion Papers 14665, C.E.P.R. Discussion Papers.
- Titan Alon & Matthias Doepke & Jane Olmstead-Rumsey & Michèle Tertilt, 2020.
"The Impact of COVID-19 on Gender Equality,"
NBER Working Papers
26947, National Bureau of Economic Research, Inc.
- Titan Alon & Matthias Doepke & Jane Olmstead-Rumsey & Michèle Tertilt, 2020. "The Impact of COVID-19 on Gender Equality," CRC TR 224 Discussion Paper Series crctr224_2020_163, University of Bonn and University of Mannheim, Germany.
- Scott R. Baker & Andrey Fradkin, 2017. "The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 756-768, December.
- Alexis Akira Toda, 2020. "Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and Economic Impact," Papers 2003.11221, arXiv.org, revised Mar 2020.
- 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.
- 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.
- Götz, Thomas B. & Knetsch, Thomas A., 2019.
"Google data in bridge equation models for German GDP,"
International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
- Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
- Gary Koop & Luca Onorante, 2019. "Macroeconomic Nowcasting Using Google Probabilities☆," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A, volume 40, pages 17-40, Emerald Group Publishing Limited.
- Hamermesh, Daniel S., 2020.
"Lockdowns, Loneliness and Life Satisfaction,"
IZA Discussion Papers
13140, Institute of Labor Economics (IZA).
- Daniel S. Hamermesh, 2020. "Lock-downs, Loneliness and Life Satisfaction," NBER Working Papers 27018, National Bureau of Economic Research, Inc.
- Stefano Ramelli & Alexander F Wagner, 2020.
"Feverish Stock Price Reactions to COVID-19,"
The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 622-655.
- Stefano Ramelli & Alexander F. Wagner, 2020. "Feverish Stock Price Reactions to COVID-19," Swiss Finance Institute Research Paper Series 20-12, Swiss Finance Institute.
- Wagner, Alexander F. & Ramelli, Stefano, 2020. "Feverish Stock Price Reactions to COVID-19," CEPR Discussion Papers 14511, C.E.P.R. Discussion Papers.
- Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021.
"Coronavirus Perceptions and Economic Anxiety,"
The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968–978-9, December.
- Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2020. "Coronavirus Perceptions And Economic Anxiety," Papers 2003.03848, arXiv.org, revised Jul 2020.
- Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2021.
"COVID-19, lockdowns and well-being: Evidence from Google Trends,"
Journal of Public Economics, Elsevier, vol. 193(C).
- Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2020. "COVID-19, lockdowns and well-being: evidence from Google Trends," LSE Research Online Documents on Economics 108456, London School of Economics and Political Science, LSE Library.
- Abel Brodeur & Andrew E. Clark & Sarah Flèche & Nattavudh Powdthavee, 2021. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," PSE-Ecole d'économie de Paris (Postprint) halshs-03029872, HAL.
- Brodeur, Abel & Clark, Andrew E. & Flèche, Sarah & Powdthavee, Nattavudh, 2020. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," IZA Discussion Papers 13204, Institute of Labor Economics (IZA).
- Abel Brodeur & Andrew E. Clark & Sarah Flèche & Nattavudh Powdthavee, 2020. "Covid-19, lockdowns and well-being: evidence from Google trends," CEP Discussion Papers dp1693, Centre for Economic Performance, LSE.
- Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2020. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," GLO Discussion Paper Series 552, Global Labor Organization (GLO).
- Abel Brodeur & Andrew E. Clark & Sarah Flèche & Nattavudh Powdthavee, 2021. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," Post-Print halshs-03029872, HAL.
- Abel Brodeur & Andrew Clark & Sarah Fleche & Nattavudh Powdthavee, 2020. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," Working Papers 2004E, University of Ottawa, Department of Economics.
- Arnoud Boot & Elena Carletti & Hans-Helmut Kotz & Jan Pieter Krahnen & Loriana Pelizzon & Marti Subrahmanyam, 2020. "Coronavirus and financial stability 3.0: Try equity – risk sharing for companies, large and small," Vox eBook Chapters, in: AgneÌ€s BeÌ nassy-QueÌ reÌ & Beatrice Weder di Mauro (ed.), Europe in the Time of Covid-19, edition 1, volume 1, chapter 1, pages 41-47, Centre for Economic Policy Research.
- Adams-Prassl, A. & Boneva, T. & Golin, M & Rauh, C., 2020.
"Inequality in the Impact of the Coronavirus Shock: New Survey Evidence for the US,"
Cambridge Working Papers in Economics
2022, Faculty of Economics, University of Cambridge.
- Adams-Prassl, A. & Boneva, T. & Golin, M & Rauh, C., 2020. "Inequality in the Impact of the Coronavirus Shock: New Survey Evidence for the UK," Cambridge Working Papers in Economics 2023, Faculty of Economics, University of Cambridge.
- James H. Stock, 2020. "Data Gaps and the Policy Response to the Novel Coronavirus," NBER Working Papers 26902, National Bureau of Economic Research, Inc.
- Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Marcelo C. Medeiros & Gabriel F. R. Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2021.
"Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 98-119, January.
- Marcelo Madeiros & Gabriel Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2019. "Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods," Working Papers Central Bank of Chile 834, Central Bank of Chile.
- Baert, Stijn & Lippens, Louis & Moens, Eline & Sterkens, Philippe & Weytjens, Johannes, 2020.
"How do we think the COVID-19 crisis will affect our careers (if any remain)?,"
GLO Discussion Paper Series
520, Global Labor Organization (GLO).
- Baert, Stijn & Lippens, Louis & Moens, Eline & Sterkens, Philippe & Weytjens, Johannes, 2020. "How Do We Think the COVID-19 Crisis Will Affect Our Careers (If Any Remain)?," IZA Discussion Papers 13164, Institute of Labor Economics (IZA).
- Stijn Baert & Louis Lippens & Eline Moens & Philippe Sterkens & Johannes Weytjens, 2020. "How do we think the COVID-19 crisis will affect our careers (if any remain)?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/995, Ghent University, Faculty of Economics and Business Administration.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis & Stephen J. Terry, 2020. "COVID-Induced Economic Uncertainty," NBER Working Papers 26983, National Bureau of Economic Research, Inc.
- Aaron Amburgey & Serdar Birinci, 2020. "The Effects of COVID-19 on Unemployment Insurance Claims," Economic Synopses, Federal Reserve Bank of St. Louis, issue 9, March.
- Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
- 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.
- Schmidt, Torsten & Vosen, Simeon, 2009. "Forecasting Private Consumption: Survey-based Indicators vs. Google Trends," Ruhr Economic Papers 155, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
- Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel Sacks & Boyoung Seo, 2020.
"Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims,"
Working Paper Series
WP-2020-10, Federal Reserve Bank of Chicago, revised 16 Apr 2020.
- Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel W. Sacks & Boyoung Seo, 2020. "Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims," Working Paper Series WP 2020-10, Federal Reserve Bank of Chicago.
- Stefano Ramelli & Alexander F Wagner, 0. "Feverish Stock Price Reactions to COVID-19," Review of Corporate Finance Studies, Oxford University Press, vol. 9(3), pages 622-655.
- Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
- Boot, Arnoud W. A. & Carletti, Elena & Kotz, Hans-Helmut & Krahnen, Jan Pieter & Pelizzon, Loriana & Subrahmanyam, Marti G., 2020. "Corona and financial stability 3.0: Try equity - risk sharing for companies, large and small," SAFE Policy Letters 81, Leibniz Institute for Financial Research SAFE.
- Vosen, Simeon & Schmidt, Torsten, 2012.
"A monthly consumption indicator for Germany based on Internet search query data,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(7), pages 683-687.
- 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.
- Schmidt, Torsten & Vosen, Simeon, 2010. "A monthly consumption indicator for Germany based on internet search query data," Ruhr Economic Papers 208, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Callum Jones & Thomas Philippon & Venky Venkateswaran, 2021.
"Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home [A simple planning problem for covid-19 lockdown],"
The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5188-5223.
- Callum J. Jones & Thomas Philippon & Venky Venkateswaran, 2020. "Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home," NBER Working Papers 26984, National Bureau of Economic Research, Inc.
- 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.
- Paul Smith, 2016. "Google's MIDAS Touch: Predicting UK Unemployment with Internet Search Data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(3), pages 263-284, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Aaronson, Daniel & Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael & Sacks, Daniel W. & Seo, Boyoung, 2022. "Forecasting unemployment insurance claims in realtime with Google Trends," International Journal of Forecasting, Elsevier, vol. 38(2), pages 567-581.
- Simionescu, Mihaela & Cifuentes-Faura, Javier, 2022. "Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 1-21.
- Gamze Bayın Donar & Seda Aydan, 2022. "Association of COVID‐19 with lifestyle behaviours and socio‐economic variables in Turkey: An analysis of Google Trends," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(1), pages 281-300, January.
- Anna Barwinska-Małajowicz & Paweł Hydzik & Iwona Bak, 2021. "The Impact of the COVID-19 Pandemic on the Situation of the Unemployed in the Podkarpackie Voivodeship," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 691-705.
- Simionescu, Mihaela & Raišienė, Agota Giedrė, 2021. "A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- van der Wielen, Wouter & Barrios, Salvador, 2021.
"Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU,"
Journal of Economics and Business, Elsevier, vol. 115(C).
- VAN DER WIELEN Wouter & BARRIOS Salvador, 2020. "Fear and Employment During the COVID Pandemic: Evidence from Search Behaviour in the EU," JRC Working Papers on Taxation & Structural Reforms 2020-08, Joint Research Centre.
- Péter Benczúr & István Kónya, 2022. "Convergence to the Centre," Contributions to Economics, in: László Mátyás (ed.), Emerging European Economies after the Pandemic, chapter 0, pages 1-51, Springer.
- Francisco Corona & Graciela Gonz'alez-Far'ias & Jes'us L'opez-P'erez, 2021. "A nowcasting approach to generate timely estimates of Mexican economic activity: An application to the period of COVID-19," Papers 2101.10383, arXiv.org.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Caperna, Giulio & Colagrossi, Marco & Geraci, Andrea & Mazzarella, Gianluca, 2022. "A babel of web-searches: Googling unemployment during the pandemic," Labour Economics, Elsevier, vol. 74(C).
- Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2021.
"COVID-19, lockdowns and well-being: Evidence from Google Trends,"
Journal of Public Economics, Elsevier, vol. 193(C).
- Brodeur, Abel & Clark, Andrew E. & Flèche, Sarah & Powdthavee, Nattavudh, 2020. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," IZA Discussion Papers 13204, Institute of Labor Economics (IZA).
- Abel Brodeur & Andrew E. Clark & Sarah Flèche & Nattavudh Powdthavee, 2021. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," PSE-Ecole d'économie de Paris (Postprint) halshs-03029872, HAL.
- Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2020. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," GLO Discussion Paper Series 552, Global Labor Organization (GLO).
- Abel Brodeur & Andrew E. Clark & Sarah Flèche & Nattavudh Powdthavee, 2021. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," Post-Print halshs-03029872, HAL.
- Abel Brodeur & Andrew E. Clark & Sarah Flèche & Nattavudh Powdthavee, 2020. "Covid-19, lockdowns and well-being: evidence from Google trends," CEP Discussion Papers dp1693, Centre for Economic Performance, LSE.
- Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2020. "COVID-19, lockdowns and well-being: evidence from Google Trends," LSE Research Online Documents on Economics 108456, London School of Economics and Political Science, LSE Library.
- Abel Brodeur & Andrew Clark & Sarah Fleche & Nattavudh Powdthavee, 2020. "COVID-19, Lockdowns and Well-Being: Evidence from Google Trends," Working Papers 2004E, University of Ottawa, Department of Economics.
- Abay,Kibrom A. & Hirfrfot,Kibrom Tafere & Woldemichael,Andinet, 2020. "Winners and Losers from COVID-19 : Global Evidence from Google Search," Policy Research Working Paper Series 9268, The World Bank.
- van der Wielen, Wouter & Barrios, Salvador, 2021.
"Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU,"
Journal of Economics and Business, Elsevier, vol. 115(C).
- VAN DER WIELEN Wouter & BARRIOS Salvador, 2020. "Fear and Employment During the COVID Pandemic: Evidence from Search Behaviour in the EU," JRC Working Papers on Taxation & Structural Reforms 2020-08, Joint Research Centre.
- Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
- Louis‐Philippe Beland & Abel Brodeur & Derek Mikola & Taylor Wright, 2022.
"The short‐term economic consequences of COVID‐19: Occupation tasks and mental health in Canada,"
Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 214-247, February.
- Beland, Louis-Philippe & Brodeur, Abel & Mikola, Derek & Wright, Taylor, 2020. "The short-term Economic Consequences of COVID-19: Occupation Tasks and Mental Health in Canada," GLO Discussion Paper Series 542, Global Labor Organization (GLO).
- Béland, Louis-Philippe & Brodeur, Abel & Mikola, Derek & Wright, Taylor, 2020. "The Short-Term Economic Consequences of COVID-19: Occupation Tasks and Mental Health in Canada," IZA Discussion Papers 13254, Institute of Labor Economics (IZA).
- 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.
- Guven, Cahit & Sotirakopoulos, Panagiotis & Ulker, Aydogan, 2020. "Short-term Labour Market Effects of COVID-19 and the Associated National Lockdown in Australia: Evidence from Longitudinal Labour Force Survey," GLO Discussion Paper Series 635, Global Labor Organization (GLO).
- Simionescu, Mihaela & Raišienė, Agota Giedrė, 2021. "A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Perroni, Carlo & Scharf, Kimberley & Talavera, Oleksandr & Vi, Linh, 2022.
"Does online salience predict charitable giving? Evidence from SMS text donations,"
Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 134-149.
- Carlo Perroni & Kimberley Ann Scharf & Oleksandr Talavera & Linh Vi, 2021. "Does Online Salience Predict Charitable Giving? Evidence from SMS Text Donations," CESifo Working Paper Series 9436, CESifo.
- Perroni, Carlo & Scharf, Kimberley & Talavera, Oleksandr & Vi, Linh, 2022. "Does Online Salience Predict Charitable Giving? Evidence from SMS Text Donations," CEPR Discussion Papers 17030, C.E.P.R. Discussion Papers.
- Götz, Thomas B. & Knetsch, Thomas A., 2019.
"Google data in bridge equation models for German GDP,"
International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
- Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
- Anastasiou, Dimitrios & Bragoudakis, Zacharias & Giannoulakis, Stelios, 2021.
"Perceived vs actual financial crisis and bank credit standards: Is there any indication of self-fulfilling prophecy?,"
Research in International Business and Finance, Elsevier, vol. 58(C).
- Dimitrios Anastasiou & Zacharias Bragoudakis & Stelios Giannoulakis, 2020. "Perceived vs actual financial crisis and bank credit standards: is there any indication of self-fulfilling prophecy?," Working Papers 277, Bank of Greece.
- Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
- Lea Immel & Florian Neumeier & Andreas Peichl, 2022.
"The Unequal Consequences of the Covid‐19 Pandemic: Evidence from a Large Representative German Population Survey,"
Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(2), pages 471-496, June.
- Lea Immel & Florian Neumeier & Andreas Peichl, 2021. "The Unequal Consequences of the Covid-19 Pandemic: Evidence from a Large Representative German Population Survey," CESifo Working Paper Series 9038, CESifo.
- Anastasiou, Dimitrios & Drakos, Konstantinos, 2021. "European depositors’ behavior and crisis sentiment," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 117-136.
- Mathias Huebener & Sevrin Waights & C. Katharina Spiess & Nico A. Siegel & Gert G. Wagner, 2021.
"Parental well-being in times of Covid-19 in Germany,"
Review of Economics of the Household, Springer, vol. 19(1), pages 91-122, March.
- Huebener, Matthias & Waights, Sevrin & Spieß, C. Katharina & Siegel, Nico A. & Wagner, Gert G., 2021. "Parental well-being in times of Covid-19 in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(1), pages 91-122.
- Mathias Huebener & Sevrin Waights & C. Katharina Spiess & Nico A. Siegel & Gert G. Wagner, 2020. "Parental Well-Being in Times of Covid-19 in Germany," SOEPpapers on Multidisciplinary Panel Data Research 1099, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Huebener, Mathias & Waights, Sevrin & Spiess, C. Katharina & Siegel, Nico A. & Wagner, Gert G., 2021. "Parental well-being in times of Covid-19 in Germany," LSE Research Online Documents on Economics 113559, London School of Economics and Political Science, LSE Library.
- Huebener, Mathias & Waights, Sevrin & Spieß, C. Katharina & Siegel, Nico A. & Wagner, Gert G., 2020. "Parental Well-Being in Times of COVID-19 in Germany," IZA Discussion Papers 13556, Institute of Labor Economics (IZA).
- Mathias Huebener & Nico A. Siegel & C. Katharina Spiess & Gert G. Wagner & Sevrin Waights, 2020. "Parental well-being in times of Covid-19 in Germany," CEP Discussion Papers dp1713, Centre for Economic Performance, LSE.
- Mathias Huebener & Sevrin Waights & C. Katharina Spiess & Nico A. Siegel & Gert G. Wagner, 2020. "Parental Well-Being in Times of Covid-19 in Germany," CESifo Working Paper Series 8487, CESifo.
- Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024. "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, vol. 177(C).
- Brodeur, Abel & Cook, Nikolai & Wright, Taylor, 2021.
"On the effects of COVID-19 safer-at-home policies on social distancing, car crashes and pollution,"
Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
- Brodeur, Abel & Cook, Nikolai & Wright, Taylor, 2020. "On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution," IZA Discussion Papers 13255, Institute of Labor Economics (IZA).
- Brodeur, Abel & Cook, Nikolai & Wright, Taylor, 2021. "On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution," GLO Discussion Paper Series 774, Global Labor Organization (GLO).
- González-Fernández, Marcos & González-Velasco, Carmen, 2020. "An alternative approach to predicting bank credit risk in Europe with Google data," Finance Research Letters, Elsevier, vol. 35(C).
- Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
More about this item
Keywords
Unemployment; nowcast; random forest; covid-19; Google Trends; Difference-in-Differences;All these keywords.
JEL classification:
- E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-10-12 (Big Data)
- NEP-CMP-2020-10-12 (Computational Economics)
- NEP-MAC-2020-10-12 (Macroeconomics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jrs:wpaper:202004. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Benczur (email available below). General contact details of provider: https://edirc.repec.org/data/eejrcit.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.