Data Resources on the COVID-19 Pandemic
last update 2 years ago
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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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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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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
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#13683
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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
-
#13411
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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
-
#14903
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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BIDCOFU Survey
Open Data and Surveys Related to COVID-19The survey collected a sample of approximately 1,500 UK respondents in Prolific, an online platform collection that connects researchers with participants, who get paid cash for taking part in research. The sample is representative of the UK population with regards age, sex and ethnicity and should be available in August 2020.
Link to resource
The survey was launched June 2020 and announced with the title “BIDCOFU Survey” with the following brief summary: This study is conducted by researchers from the University of Exeter. Participants will be asked to answer a set of questions on demographic patterns. This includes questions that may be sensitive, including but not limited to questions related to COVID-19, mental health and well-being, physical health and health-related behaviors, concerns and perceptions about COVID-19, its prevalence and lethality, expectations on COVID-19 and unemployment, employment and job characteristics, non-labor market time and changes, behaviors when going out, views on the effectiveness of masks.
Keywords: COVID-19 employment expectations health behaviour mental health perception physical health social distancing subjective well-being UK unemployment working conditionsCOVID-19 , employment , expectations , health behaviour , mental health , perception , physical health , social distancing , subjective well-being , UK , unemployment , working conditions (Household) Survey , Dataset 1594380098
Show Related IZA Discussion Papers using this Data Resource 1 -
COVID-19 Snapshot Monitoring (COSMO)
Open Data and Surveys Related to COVID-19The aim of the project is to repeatedly get an insight into how the population perceives the corona pandemic: how the “psychological situation” is emerging. The aim is to to monitor public perceptions of risk, protective and preparedness behaviors, public trust, as well as knowledge and misinformation to enable government spokespeople, the media, and health organizations to implement adequate responses. The study design allows rapid and adaptive monitoring of these variables over time and assessing the relations between risk perceptions, knowledge and misinformation to preparedness and protective behavior regarding COVID-19 in Germany.
Link to resource
The study participants are invited through an online panel provider. Every week, a representative distribution of the N = 1,000 respondents between the ages of 18-74 is selected based on the census data from Germany. Wave 1 interviewed 977 people. Quotations are made according to age / gender (crossed) and federal state (uncrossed).
Keywords: attitudes concern COVID-19 Germany health behaviour knowledge living conditions mental health perception prevalence risk subjective well-being uncertaintyattitudes , concern , COVID-19 , Germany , health behaviour , knowledge , living conditions , mental health , perception , prevalence , risk , subjective well-being , uncertainty (Household) Survey , Chart , Dataset , Tables 1594380150 -
LASI-DAD COVID-19 Households in India
Open Data and Surveys Related to COVID-19The survey, strives to measure individual respondent's perceptions, attitudes, and behavioral reactions related to the pandemic. The survey targets one randomly selected adult male and one randomly selected adult female from each household of the LASI-DAD study. The survey takes about 15 minutes to administer and was conducted via phone call every two months starting from May 2020. The same respondents are re-interviewed over a one-year time period. All interviews are conducted in the respondent's local language to ensure respondent comprehension and comfort. The nationally representative sample, strives to monitor the nationwide prevalence of COVID-19 symptoms, adoption of disease avoidance behaviors, rates of economic hardships and job loss, receipt of social protection benefits, food security, and the mental health of households.
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Types: Dataset Last updated at: 06/05/2022economic well-being , India , mental health , pandemic exposure , unemployment Dataset 1654461839 -
SOEP-CoV
Open Data and Surveys Related to COVID-19A sample of more than 12,000 people has been interviewed by telephone for SOEP-CoV since the beginning of April. A second survey will take place if the infection rate has decreased significantly. The starting point for the surveys is the Socio-Economic Panel (SOEP). The samples are surveyed every two weeks (samples 1 to 5) or every week (samples 5 to 9) in order to record the chronological course of the crisis and the associated effects on private households. A total of 12,000 households were asked to participate in the "SOEP-CoV" study. At the beginning of the study, more households are surveyed than towards the end. With this design, the scientists take into account the assumption that the effects of the crisis are likely to be more severe at the beginning and to decrease over time (in German).
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Keywords: employment Germany health behaviour health inequality labor market living conditions mental health prevalence social cohesion social mobilty social network subjective well-beingemployment , Germany , health behaviour , health inequality , labor market , living conditions , mental health , prevalence , social cohesion , social mobilty , social network , subjective well-being (Household) Survey , Dataset 1589391404
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