Data Resources on the COVID-19 Pandemic
last update 2 years ago
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Oxford COVID-19 Government Response Tracker (OxCGRT)
Open Data and Surveys Related to COVID-19The University of Oxford’s Blavatnik School of Government systematically collects information on policy stringency taken by governments to tackle the pandemic since February 2020. OxCGRT collects information on government policy responses across eight dimensions, namely: (i) school closures; (ii) workplace closures; (iii) public event cancellations; (iv) gathering restrictions; (v) public transportation closures; (vi) stay-at-home orders; (vii) restrictions on internal movement; and (viii) international travel bans. These dimensions are then used to calculate response indexes to COVID-19. Each index is rescaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction).
Link to resource
Why is this resource interesting?"This tracker implemented by the University of Oxford’s Blavatnik School of Government systematically collects information on the measures taken by governments to tackle the pandemic since February 2020 . OxCGRT is based on publicly avail-able information on 13 indicators of government response (policies such as school closures, ban son public gatherings or travel, etc., and financial indicators such as fiscal or monetary measures). Each indicator is re-scaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction)." (IZA DP 13205)
Keywords: COVID-19 cross-country economic policy government measure intervention lockdown political policy politics protective measure public health public health measure trackingCOVID-19 , cross-country , economic policy , government measure , intervention , lockdown , political policy , politics , protective measure , public health , public health measure , tracking Chart , Dataset , Map , Open access , Tables 1601461760
Related IZA Discussion Papers using this Data Resource 24-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
Francesco Sarracino, Talita Greyling, Kelsey J. O'Connor, Chiara Peroni, Stephanié Rossouw -
#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
Christian Krekel, Sarah Swanke, Jan-Emmanuel De Neve, Daisy Fancourt -
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
David Bardey, Manuel Fernandez Sierra, Alexis Gravel -
#14116
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths
Daniel L. Millimet, Christopher F. Parmeter -
#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
Silvia Mendolia, Olena Stavrunova, Oleg Yerokhin -
#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
Hai-Anh H Dang, Trong-Anh Trinh -
#13664
Exponential Growth Bias in the Prediction of COVID-19 Spread and Economic Expectation
Ritwik Banerjee, Priyama Majumdar -
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
Wim Naudé, Martin Cameron -
#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
Ulugbek Aminjonov, Olivier B. Bargain, Tanguy Bernard -
#15294
Hiding the Elephant: The Tragedy of COVID Policy and Its Economist Apologists
Gigi Foster, Paul Frijters -
#13927
Interventions with Positive Side-Effects: COVID-19 Non-Pharmaceutical Interventions and Infectious Diseases in Europe
Micha Kaiser, Steffen Otterbach, Alfonso Sousa-Poza, David E. Bloom -
#13158
Labour Supply in the Early Stages of the COVID-19 Pandemic: Empirical Evidence on Hours, Home Office, and Expectations
Hans-Martin von Gaudecker, Radost Holler, Lena Janys, Bettina M. Siflinger, Christian Zimpelmann -
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
Nikos Askitas, Konstantinos Tatsiramos, Bertrand Verheyden -
#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
Francesco Sarracino, Kelsey J. O'Connor -
#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
Piotr Lewandowski -
#13427
Public Attention and Policy Responses to COVID-19 Pandemic
Cevat Giray Aksoy, Michael Ganslmeier, Panu Poutvaara -
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
Gordon Betcherman, Nicholas Giannakopoulos, Ioannis Laliotis, Ioanna Pantelaiou, Mauro Testaverde, Giannis Tzimas -
#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
Hai-Anh H Dang, Trong-Anh Trinh -
#14269
The Labour Market Impact of COVID-19: Early Evidence for a Sample of Enterprises from Southern Europe
Allan Webster, Sangeeta Khorana, Francesco Pastore -
#13351
The Political Scar of Epidemics
Cevat Giray Aksoy, Barry Eichengreen, Orkun Saka -
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
Olivier B. Bargain, Ulugbek Aminjonov -
#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
Francesco Sarracino, Talita Greyling, Kelsey J. O'Connor, Chiara Peroni, Stephanié Rossouw -
#13366
Unequal Consequences of COVID-19 across Age and Income: Representative Evidence from Six Countries
Michèle Belot, Syngjoo Choi, Egon Tripodi, Eline van den Broek-Altenburg, Julian C. Jamison, Nicholas W. Papageorge -
#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
Alejandra Bellatin, Gabriela Galassi
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#14903
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WageIndicator Survey of Living and Working in Coronavirus Times
Open Data and Surveys Related to COVID-19The WageIndicator Foundation has launched a continuous global online survey ‘Living and Working in Corona Times’. The purpose of the survey is to discover what makes the Coronavirus lockdown easier (or tougher) for citizens across 110 countries, and to gauge the effect of COVID-19 on jobs, lives and states of mind.
Link to resource
Why is this resource interesting?WageIndicator shows coronavirus-induced changes in living and working conditions in 110 countries. The survey reveals, from day to day, the consequences the large majority of the working population of the world experiences on the basis of answers on the following questions in the Corona survey:
- Is your work affected by the corona crisis?
- Are precautionary measures taken at the workplace?
- Do you have to work from home?
- Has your workload increased/decreased?
- Have you lost your job/work/assignments?
Keywords: attitudes concern COVID-19 cross-country economic development employment expectations health behaviour social contacts social distancing uncertainty unemployment working conditionsattitudes , concern , COVID-19 , cross-country , economic development , employment , expectations , health behaviour , social contacts , social distancing , uncertainty , unemployment , working conditions (Household) Survey , Dataset 1591715387 -
Google's COVID-19 Community Mobility Reports
Open Data and Surveys Related to COVID-19Google COVID-19 community mobility reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19.
Link to resource
Why is this resource interesting?"The Google COVID-19 mobility reports aggregate anonymized sets of data from users’ mobile device location history. The mobility index measures how visits to, or length of stay at, different types of location change over time compared to a baseline period corresponding to January 3 - February 6, 2020. There are six location categories: (i) retail and recreation, (ii) grocery and pharmacy, (iii) parks (public gardens, dog parks, beaches, etc.), (iv) transit stations (public transport hubs such as subway, bus, train stations), (v) workplaces and (vi) residential areas.
Human mobility is tracked by Google daily and in a consistent manner across 131 countries. For a subset of countries, the information is provided at sub-national level." (IZA DP 13205)
Keywords: COVID-19 cross-country ecomonic sectors economic development Google health behaviour mobility trackingCOVID-19 , cross-country , ecomonic sectors , economic development , Google , health behaviour , mobility , tracking Chart , Dataset , Statistics , Tables 1610371107
Related IZA Discussion Papers using this Data Resource 29-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
Francesco Sarracino, Talita Greyling, Kelsey J. O'Connor, Chiara Peroni, Stephanié Rossouw -
#13265
An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies
Luiz Brotherhood, Philipp Kircher, Cezar Santos, Michèle Tertilt -
#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
Christian Krekel, Sarah Swanke, Jan-Emmanuel De Neve, Daisy Fancourt -
#13297
Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries
Olivier B. Bargain, Ulugbek Aminjonov -
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
David Bardey, Manuel Fernandez Sierra, Alexis Gravel -
#14682
COVID-19 Mobility Policies Impacts: How Credible Are Difference-in-Differences Estimates?
Joakim A. Weill, Matthieu Stigler, Olivier Deschenes, Michael R. Springborn -
#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
Silvia Mendolia, Olena Stavrunova, Oleg Yerokhin -
#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
Hai-Anh H Dang, Trong-Anh Trinh -
#13376
Dynamics of Social Mobility during the COVID-19 Pandemic in Canada
Mutlu Yuksel, Yigit Aydede, Francisko Begolli -
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
Wim Naudé, Martin Cameron -
#14883
Fiscal Multipliers in the COVID-19 Recession
Alan Auerbach, Yuriy Gorodnichenko, Peter B. McCrory, Daniel Murphy -
#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
Ulugbek Aminjonov, Olivier B. Bargain, Tanguy Bernard -
#13237
Job Search during the COVID-19 Crisis
Lena Hensvik, Thomas Le Barbanchon, Roland Rathelot -
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
Nikos Askitas, Konstantinos Tatsiramos, Bertrand Verheyden -
#14229
More than Words: Leaders' Speech and Risky Behavior During a Pandemic
Nicolas Ajzenman, Tiago Cavalcanti, Daniel Da Mata -
#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
Francesco Sarracino, Kelsey J. O'Connor -
#13255
On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution
Abel Brodeur, Nikolai Cook, Taylor Wright -
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
Gordon Betcherman, Nicholas Giannakopoulos, Ioannis Laliotis, Ioanna Pantelaiou, Mauro Testaverde, Giannis Tzimas -
#13790
School Re-Openings after Summer Breaks in Germany Did Not Increase SARS-CoV-2 Cases
Ingo E. Isphording, Marc Lipfert, Nico Pestel -
#14844
Schools under Mandatory Testing Can Mitigate the Spread of SARS-CoV-2
Ingo E. Isphording, marc diederichs, Reyn van Ewijk, Nico Pestel -
#15111
Societal Movement Restrictions and Adverse Mental Health Outcomes
Ho Fai Chan, Zhiming Cheng, Silvia Mendolia, Alfredo R. Paloyo, Massimiliano Tani, Damon Proulx, David Savage, Benno Torgler -
#13234
Stay-At-Home Orders, Social Distancing and Trust
Abel Brodeur, Idaliya Grigoryeva, Lamis Kattan -
#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
Hai-Anh H Dang, Trong-Anh Trinh -
#13862
The COVID-19 Pandemic and the 2020 U.S. Presidential Election
Leonardo Baccini, Abel Brodeur, Stephen Weymouth -
#13316
Timing is Everything when Fighting a Pandemic: COVID-19 Mortality in Spain
Catalina Amuedo-Dorantes, Cristina Borra, Noelia Rivera Garrido, Almudena Sevilla -
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
Olivier B. Bargain, Ulugbek Aminjonov -
#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
Francesco Sarracino, Talita Greyling, Kelsey J. O'Connor, Chiara Peroni, Stephanié Rossouw -
#13440
Urban Density and COVID-19
Felipe Carozzi, Sandro Provenzano, Sefi Roth -
#14119
Weather, Psychological Wellbeing and Mobility during the First Wave of the COVID-19 Pandemic
Ashley Burdett, Apostolos Davillas, Ben Etheridge
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#14903
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Johns Hopkins University
Public Health and MedicineThe data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).
Link to resource
Why is this resource interesting?The Johns Hopkins COVID-19 data "links data from the Robert Koch Institute, the World Health Organization, and the European Centre for Disease Prevention and Control. Furthermore, official statistics from the Robert Koch Institute are downward biased on weekends, as some local administrations only report their case numbers on workdays. The data then enter the official statistics on Monday and Tuesday, yielding an upward bias of the statistics on new infections. We find that the data from the Johns Hopkins University (2020) are more robust to these biases." (Hartl, et al. 2020),
COVID-19 , cross-country , infection , public health , statistics , tracking Chart , Dataset , Map , Tables 1647339332
Related IZA Discussion Papers using this Data Resource 22-
#13411
A Literature Review of the Economics of COVID-19
Abel Brodeur, David M. Gray, Anik Islam, Suraiya Jabeen Bhuiyan -
#13388
Black Lives Matter Protests, Social Distancing, and COVID-19
Dhaval M. Dave, Andrew I. Friedson, Kyutaro Matsuzawa, Joseph J. Sabia, Samuel Safford -
#14884
COVID-19 and the Forces behind Social Unrest
Mario Lackner, Uwe Sunde, Rudolf Winter-Ebmer -
#13467
COVID-19, Race, and Redlining
Graziella Bertocchi, Arcangelo Dimico -
#13231
Deregulation in a Time of Pandemic: Does Pollution Increase Coronavirus Cases or Deaths?
Claudia L. Persico, Kathryn R. Johnson -
#13137
Explaining Governors' Response to the COVID-19 Pandemic in the United States
Leonardo Baccini, Abel Brodeur -
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
Wim Naudé, Martin Cameron -
#14170
Home Ownership and Home Equity Promote Entrepreneurial Activity
Wolter Hassink, Matteo Millone, Remco Mocking, Benedikt Vogt -
#13165
Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China
Yun Qiu, Xi Chen, Wei Shi -
#13695
Is the Cure Worse than the Disease? County-Level Evidence from the COVID-19 Pandemic in the United States
Catalina Amuedo-Dorantes, Neeraj Kaushal, Ashley N. Muchow -
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
Nikos Askitas, Konstantinos Tatsiramos, Bertrand Verheyden -
#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
Piotr Lewandowski -
#13255
On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution
Abel Brodeur, Nikolai Cook, Taylor Wright -
#13094
Projecting the Spread of COVID-19 for Germany
Jean Roch Donsimoni, René Glawion, Bodo Plachter, Klaus Wälde -
#13427
Public Attention and Policy Responses to COVID-19 Pandemic
Cevat Giray Aksoy, Michael Ganslmeier, Panu Poutvaara -
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
Gordon Betcherman, Nicholas Giannakopoulos, Ioannis Laliotis, Ioanna Pantelaiou, Mauro Testaverde, Giannis Tzimas -
#14710
Role of Professionalism in Response to the COVID-19 Pandemic: Does a Public Health or Medical Background Help?
Xun Li, Weizheng Lai, Qianqian Wan, Xi Chen -
#14984
School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom
Andre Kurmann, Etienne Lalé -
#13151
Should Contact Bans Be Lifted in Germany? A Quantitative Prediction of Its Effects
Jean Roch Donsimoni, René Glawion, Bodo Plachter, Constantin Weiser, Klaus Wälde -
#13862
The COVID-19 Pandemic and the 2020 U.S. Presidential Election
Leonardo Baccini, Abel Brodeur, Stephen Weymouth -
#13351
The Political Scar of Epidemics
Cevat Giray Aksoy, Barry Eichengreen, Orkun Saka -
#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
Alejandra Bellatin, Gabriela Galassi
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#13411
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European Centre for Disease Prevention and Control
Open Data and Surveys Related to COVID-19The downloadable data file is updated daily and contains the latest available public data on COVID-19. Each row/entry contains the number of new cases reported per day and per country. You may use the data in line with ECDC’s copyright policy.
Link to resource
Why is this resource interesting?ECDC data provide the total number of diagnosed COVID.19 infections, the number of deceased patience and the growth rate of COVID-19 around the globe. ECDC examines reports from health authorities worldwide in a systematic way in order to produce the number of COVID-19 cases and deaths every day.
COVID-19 , cross-country , death , Europe , infection , public health , tracking Catalog , Dataset , Open access , Statistics 1599128825
Related IZA Discussion Papers using this Data Resource 10-
#13683
Are COVID Fatalities in the US Higher Than in the EU, and If So, Why?
Ainoa Aparicio Fenoll, Shoshana Grossbard -
#13297
Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries
Olivier B. Bargain, Ulugbek Aminjonov -
#13092
Compliance with COVID-19 Social-Distancing Measures in Italy: The Role of Expectations and Duration
Guglielmo Briscese, Nicola Lacetera, Mario Macis, Mirco Tonin -
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
David Bardey, Manuel Fernandez Sierra, Alexis Gravel -
#13164
How Do We Think the COVID-19 Crisis Will Affect Our Careers (If Any Remain)?
Stijn Baert, Louis Lippens, Eline Moens, Philippe Sterkens, Johannes Weytjens -
#13452
Intergenerational Residence Patterns and COVID-19 Fatalities in the EU and the US
Ainoa Aparicio Fenoll, Shoshana Grossbard -
#13114
Intergenerational Ties and Case Fatality Rates: A Cross-Country Analysis
Christian Bayer, Moritz Kuhn -
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
Nikos Askitas, Konstantinos Tatsiramos, Bertrand Verheyden -
#13351
The Political Scar of Epidemics
Cevat Giray Aksoy, Barry Eichengreen, Orkun Saka -
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
Olivier B. Bargain, Ulugbek Aminjonov
-
#13683
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Oxford COVID-19 Government Response Tracker (OxCGRT)
Open Data and Surveys Related to COVID-19The University of Oxford’s Blavatnik School of Government systematically collects information on policy stringency taken by governments to tackle the pandemic since February 2020. OxCGRT collects information on government policy responses across eight dimensions, namely: (i) school closures; (ii) workplace closures; (iii) public event cancellations; (iv) gathering restrictions; (v) public transportation closures; (vi) stay-at-home orders; (vii) restrictions on internal movement; and (viii) international travel bans. These dimensions are then used to calculate response indexes to COVID-19. Each index is rescaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction).
Link to resource
Why is this resource interesting?"This tracker implemented by the University of Oxford’s Blavatnik School of Government systematically collects information on the measures taken by governments to tackle the pandemic since February 2020 . OxCGRT is based on publicly avail-able information on 13 indicators of government response (policies such as school closures, ban son public gatherings or travel, etc., and financial indicators such as fiscal or monetary measures). Each indicator is re-scaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction)." (IZA DP 13205)
Keywords: COVID-19 cross-country economic policy government measure intervention lockdown political policy politics protective measure public health public health measure trackingCOVID-19 , cross-country , economic policy , government measure , intervention , lockdown , political policy , politics , protective measure , public health , public health measure , tracking Chart , Dataset , Map , Open access , Tables 1601461760
Related IZA Discussion Papers using this Data Resource 24-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
Francesco Sarracino, Talita Greyling, Kelsey J. O'Connor, Chiara Peroni, Stephanié Rossouw -
#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
Christian Krekel, Sarah Swanke, Jan-Emmanuel De Neve, Daisy Fancourt -
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
David Bardey, Manuel Fernandez Sierra, Alexis Gravel -
#14116
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths
Daniel L. Millimet, Christopher F. Parmeter -
#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
Silvia Mendolia, Olena Stavrunova, Oleg Yerokhin -
#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
Hai-Anh H Dang, Trong-Anh Trinh -
#13664
Exponential Growth Bias in the Prediction of COVID-19 Spread and Economic Expectation
Ritwik Banerjee, Priyama Majumdar -
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
Wim Naudé, Martin Cameron -
#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
Ulugbek Aminjonov, Olivier B. Bargain, Tanguy Bernard -
#15294
Hiding the Elephant: The Tragedy of COVID Policy and Its Economist Apologists
Gigi Foster, Paul Frijters -
#13927
Interventions with Positive Side-Effects: COVID-19 Non-Pharmaceutical Interventions and Infectious Diseases in Europe
Micha Kaiser, Steffen Otterbach, Alfonso Sousa-Poza, David E. Bloom -
#13158
Labour Supply in the Early Stages of the COVID-19 Pandemic: Empirical Evidence on Hours, Home Office, and Expectations
Hans-Martin von Gaudecker, Radost Holler, Lena Janys, Bettina M. Siflinger, Christian Zimpelmann -
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
Nikos Askitas, Konstantinos Tatsiramos, Bertrand Verheyden -
#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
Francesco Sarracino, Kelsey J. O'Connor -
#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
Piotr Lewandowski -
#13427
Public Attention and Policy Responses to COVID-19 Pandemic
Cevat Giray Aksoy, Michael Ganslmeier, Panu Poutvaara -
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
Gordon Betcherman, Nicholas Giannakopoulos, Ioannis Laliotis, Ioanna Pantelaiou, Mauro Testaverde, Giannis Tzimas -
#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
Hai-Anh H Dang, Trong-Anh Trinh -
#14269
The Labour Market Impact of COVID-19: Early Evidence for a Sample of Enterprises from Southern Europe
Allan Webster, Sangeeta Khorana, Francesco Pastore -
#13351
The Political Scar of Epidemics
Cevat Giray Aksoy, Barry Eichengreen, Orkun Saka -
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
Olivier B. Bargain, Ulugbek Aminjonov -
#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
Francesco Sarracino, Talita Greyling, Kelsey J. O'Connor, Chiara Peroni, Stephanié Rossouw -
#13366
Unequal Consequences of COVID-19 across Age and Income: Representative Evidence from Six Countries
Michèle Belot, Syngjoo Choi, Egon Tripodi, Eline van den Broek-Altenburg, Julian C. Jamison, Nicholas W. Papageorge -
#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
Alejandra Bellatin, Gabriela Galassi
-
#14903
-
WageIndicator Survey of Living and Working in Coronavirus Times
Open Data and Surveys Related to COVID-19The WageIndicator Foundation has launched a continuous global online survey ‘Living and Working in Corona Times’. The purpose of the survey is to discover what makes the Coronavirus lockdown easier (or tougher) for citizens across 110 countries, and to gauge the effect of COVID-19 on jobs, lives and states of mind.
Link to resource
Why is this resource interesting?WageIndicator shows coronavirus-induced changes in living and working conditions in 110 countries. The survey reveals, from day to day, the consequences the large majority of the working population of the world experiences on the basis of answers on the following questions in the Corona survey:
- Is your work affected by the corona crisis?
- Are precautionary measures taken at the workplace?
- Do you have to work from home?
- Has your workload increased/decreased?
- Have you lost your job/work/assignments?
Keywords: attitudes concern COVID-19 cross-country economic development employment expectations health behaviour social contacts social distancing uncertainty unemployment working conditionsattitudes , concern , COVID-19 , cross-country , economic development , employment , expectations , health behaviour , social contacts , social distancing , uncertainty , unemployment , working conditions (Household) Survey , Dataset 1591715387
A number of national and international research projects are currently underway that empirically
record the economic and social effects of the COVID-19 pandemic. The collection is wide and ranges
from snapshots of surveys with self-selected samples, representative surveys, longitudinal studies,
experiments, etc..
IZA’s Research Data Center (IDSC) collects and curates the information on such new initiatives.
Projects with high research output based on number of IZA Discussion Papers or otherwise are
promoted especially as “featured resources” on the top of our website.
Please contact the IDSC of IZA for any suggestions of further content at
idsc@iza.org.
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CLEAR Project Survey
Open Data and Surveys Related to COVID-19In order to analyze the impact of COVID-19 measures on households and women in Italy, the researchers used a representative sample of 800 Italian women interviewed in April and July 2019 with the purpose of understanding inequalities in women’s work, savings and pensions. In April 2020, the project repeated the interviews, adding specific questions related to the the COVID-19 crisis.
Link to resource
The survey was designed to gather data on four main areas that may have been affected by the health emergency: work, housework, childcare and home schooling. The questions asked, show whether the women and their partners were allowed to continue working at their jobs after the lockdown and its effects during the first phase of the emergency.
Types: (Household) Survey Last updated at: 09/01/2020Keywords: employment home schooling housework Italy lockdown partnership pension savings women working life workplace securityemployment , home schooling , housework , Italy , lockdown , partnership , pension , savings , women , working life , workplace security (Household) Survey 1598951090
Show Related IZA Discussion Papers using this Data Resource 1 -
COVID-19 Symptom Survey
Open Data and Surveys Related to COVID-19The COVID-19 symptom surveys are designed to help researchers better monitor and forecast the spread of COVID-19. In partnership with University of Maryland and Carnegie Mellon University, Facebook users are invited to take surveys conducted by these two partner universities to self-report COVID-19-related symptoms.
Link to resource
The questionnaire asks about current symptoms, access to testing, testing outcome, and contacts outside of their home. Other items included self-reported household financial outlookand indicators for nervousness, depression, and anxiety, adapted from the K10 scale. A 5 day “look back” period was used for mental health measures, in order to examine these constructs in a rapidly changing environment.
Non-public, non-aggregated US and non-US (daily) survey data are available after Facebook's and partner universities' approval.
Keywords: anxiety cross-country depression Europe facebook financial situation mental health nervousness social contacts subjective well-being testing USAanxiety , cross-country , depression , Europe , facebook , financial situation , mental health , nervousness , social contacts , subjective well-being , testing , USA Dataset , Tables 1591698258 -
COVID-19 Trends and Impact Survey
Open Data and Surveys Related to COVID-19The University of Maryland Social Data Science Center Global COVID-19 Trends and Impact Survey, in partnership with Facebook is a partnership between Facebook and academic institutions. The survey is available in 56 languages. A representative sample of Facebook users is invited on a daily basis to report on topics including, for example, symptoms, social distancing behavior, vaccine acceptance, mental health issues, and financial constraints. Facebook provides weights to reduce nonresponse and coverage bias. Country and region-level statistics are published daily via public API and dashboards, and microdata is available for researchers via data use agreements. Over half a million responses are collected daily. Data for the United States is not included in the Global COVID-19 Trends and Impact Survey but is available at covidcast.cmu.edu As of June 25, 2022, the COVID-19 Trends and Impact Survey will no longer collect new survey data. Historical data will continue to be available.
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Understanding Society: COVID-19 Study
Open Data and Surveys Related to COVID-19From April 2020 participants from the main Understanding Society (UK Household Longitudinal Study UKHLS) sample have been asked to complete a short web-survey (telephone version if internet not available). This survey covers the changing impact of the pandemic on the welfare of UK individuals, families and wider communities. Participants complete one survey a month, which includes core content designed to track changes, alongside variable content adapted each month as the coronavirus situation develops. Each survey takes around 20 minutes to complete.
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The survey forms an integral part of Understanding Society, a representative sample of UK households, with boost samples of Black and minority ethnic groups. Researchers can link data from the COVID-19 survey to answers respondents have given in past (and future) waves of the annual survey.
Keywords: alcohol consumption attitudes COVID-19 COVID-19 symptoms domestic work employment ethnicity family family climate financial situation gender health behaviour home schooling housing job hunting loneliness nutrition partnership personal and family impacts physical health satisfaction social contacts social network subjective well-being testing transportation UKalcohol consumption , attitudes , COVID-19 , COVID-19 symptoms , domestic work , employment , ethnicity , family , family climate , financial situation , gender , health behaviour , home schooling , housing , job hunting , loneliness , nutrition , partnership , personal and family impacts , physical health , satisfaction , social contacts , social network , subjective well-being , testing , transportation , UK (Household) Survey , Dataset 1619728291
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University College London (UCL) COVID-19 Social Study
Open Data and Surveys Related to COVID-19The UCL COVID-19 Social Study is a large panel study of the psychological and social experiences of over 75,000 adults (aged 18+) in the UK during the COVID-19 pandemic. The study commenced on 21st March 2020 and involves online weekly data collection from participants for the duration of the COVID-19 pandemic in the UK. The study is not random and therefore is not representative of the UK population. But it does contain a well-stratified sample that was recruited using three primary approaches. First, snowballing was used, including promoting the study through existing networks and mailing lists (including large databases of adults who had previously consented to be involved in health research across the UK), print and digital media coverage, and social media. Second, more targeted recruitment was undertaken focusing on (i) individuals from a low-income background, (ii) individuals with no or few educational qualifications, and (iii) individuals who were unemployed. Third, the study was promoted via partnerships with third sector organizations to vulnerable groups, including adults with pre-existing mental health conditions, older adults, carers, and people experiencing domestic violence or abuse. The study was approved by the UCL Research Ethics Committee [12467/005] and all participants gave informed consent.
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Keywords: anxiety COVID-19 demographics government measure loneliness mental health physical health protective measure public health public health measure stress subjective well-being trust UKanxiety , COVID-19 , demographics , government measure , loneliness , mental health , physical health , protective measure , public health , public health measure , stress , subjective well-being , trust , UK (Household) Survey , Chart , Dataset 1601630785
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