4 datasets found
  1. o

    Data and code for Mental wellbeing and job loss during health crisis:...

    • openicpsr.org
    Updated Sep 7, 2022
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    Akbar Zamanzadeh; Rajabrata Banerjee; Tony Cavoli (2022). Data and code for Mental wellbeing and job loss during health crisis: International evidence [Dataset]. http://doi.org/10.3886/E179521V1
    Explore at:
    Dataset updated
    Sep 7, 2022
    Dataset provided by
    University of South Australia
    Authors
    Akbar Zamanzadeh; Rajabrata Banerjee; Tony Cavoli
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 22, 2020 - Apr 23, 2020
    Area covered
    UK, China, South Korea, US, Japan, Italy
    Description

    Using a rich individual level dataset from six countries, we examine the association between job loss and mental wellbeing loss during the first phase of the COVID-19 pandemic. We consider four indicators of mental health status based on their severity, viz. anxiety, insomnia, boredom, and loneliness. We draw our conclusions based on two groups of countries that differ by the timing of their peak infections count. Using a logit model and controlling for endogeneity, we find that the people who lost their jobs due to the pandemic are more likely to suffer from mental wellbeing loss, especially insomnia and loneliness. Additionally, people with financial liabilities, such as housing mortgages, are among the mentally vulnerable groups to anxiety. Women, urban residences, youth, low-income groups, and tobacco users are more prone to mental wellbeing loss. The findings from this research have significant policy implications on infectious disease control measures and mental health status due to lockdowns and social distancing.

  2. g

    World Bank - Mozambique - Country Economic Memorandum : Reigniting Growth...

    • gimi9.com
    Updated Jun 10, 2022
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    (2022). World Bank - Mozambique - Country Economic Memorandum : Reigniting Growth for All | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_33832705/
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    Dataset updated
    Jun 10, 2022
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Mozambique
    Description

    Mozambique has experienced rapid growth for over two decades. Growth accelerated remarkably following the end of the civil war, averaging 7.9 percent over 1993-2015, among the highest in sub-Saharan Africa (SSA). However, growth decelerated sharply following the hidden debt crisis in 2016, which led to a crisis of economic governance and a protracted economic slowdown, with growth falling to 3 percent in 2016-2019. The growth slowdown has been further exacerbated by the natural disasters in 2019, the insurgency in Northern Mozambique, escalating since 2017, and the global pandemic since 2020. Mozambique’s existing growth strategy has been limited in its capacity to generate productive jobs and support accelerated poverty reduction. However, the discovery of some of the largest natural gas (LNG) reserves in the world is expected to provide Mozambique with a transformative opportunity for sustained and inclusive growth. The Mozambique Country Economic Memorandum (CEM) assesses Mozambique’s current growth model and presents a set of recommendations to: (i) make the best use of the non-renewable natural resource revenues, which includes putting in place an adequate policy and institutional framework well ahead of the revenue windfalls from the LNG sector; and (ii) promote growth in non-extractive sectors, accompanied by spatial transformation, and improved agricultural productivity. The report consists of five chapters. Chapter one provides an overview of Mozambique’s current growth model, asking what’s driving growth and outlining why this model needs rethinking. Chapter two provides analysis of the potential impact of Mozambique’s resource boom on GDP, exports, revenue, and employment, and discusses how to make good use of the opportunities and manage the associated risks. Chapter three tells Mozambique’s growth story from a spatial perspective. It constructs a unique district-by-district sectoral GDP database to identify the main growth nodes in Mozambique and understand why there is a weak link between growth and poverty reduction. The services sector is the subject of chapter four, exploring how to overcome bottlenecks to deliver on its potential to drive growth in Mozambique. Chapter five continues this theme, examining the challenges posed to private sector growth by weak governance and rising corruption. All five chapters make policy recommendations for the way forward.

  3. T

    Philippines Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 8, 2025
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    TRADING ECONOMICS (2025). Philippines Unemployment Rate [Dataset]. https://tradingeconomics.com/philippines/unemployment-rate
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Oct 8, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1986 - Sep 30, 2025
    Area covered
    Philippines
    Description

    Unemployment Rate in Philippines decreased to 3.80 percent in September from 3.90 percent in August of 2025. This dataset provides - Philippines Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. d

    EU Neighbourhood Barometer Wave 4 - Autumn 2013 - Dataset - B2FIND

    • demo-b2find.dkrz.de
    Updated Jan 25, 2017
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    (2017). EU Neighbourhood Barometer Wave 4 - Autumn 2013 - Dataset - B2FIND [Dataset]. http://demo-b2find.dkrz.de/dataset/7cb00c47-cf6b-57db-b550-94b9630dbeb6
    Explore at:
    Dataset updated
    Jan 25, 2017
    Description

    Einstellungen zur Europäischen Union. Kooperation zwischen der EU und dem eigenen Land. Institutionenvertrauen. Globale Krise. Mobilität und Migration. Themen: 1. Einstellungen zur Europäischen Union: Lebenszufriedenheit; Häufigkeit von Diskussionen über internationale, nationale und lokale politische Angelegenheiten mit Freunden und Bekannten; Meinungsführerschaft; Beurteilung der gegenwärtigen Lage in den folgenden Bereichen: nationale Wirtschaft, globale Wirtschaft, persönliche berufliche Situation, finanzielle Situation des eigenen Haushalts; erwartete Entwicklung in den nächsten zwölf Monaten in Bezug auf: nationale Wirtschaft, persönliche berufliche Situation, finanzielle Situation des eigenen Haushalts, nationale Arbeitsmarktsituation, persönliches Leben im Allgemeinen; wichtigste Probleme im eigenen Land; allgemeine Richtung der Dinge: im eigenen Land, in der arabischen Welt (nur in DZ, EG, TN, JO, LB, LY, PS, MA), in der Europäischen Union, in der Welt; Image der EU; Bewertung der Beziehungen zwischen dem eigenen Land und der EU; Kenntnis über finanzielle Unterstützung des eigenen Landes durch die EU im Kontext von Kooperationsprogrammen; Kenntnis spezieller Programme; Bereiche, die am stärksten von den derzeitigen Maßnahmen der EU für das eigene Land profitieren; Einstellung zu den folgenden Aussagen: EU ist in einem angemessenen Ausmaß in die Dinge des eigenen Landes involviert, EU bringt Frieden und Stabilität in die das eigene Land umgebende Region, EU ist ein wichtiger Partner des eigenen Landes, ausreichend gemeinsame Werte von EU und eigenem Land als Basis für Kooperation, EU-Unterstützung leistet einen großen Beitrag zur Entwicklung des eigenen Landes; präferierte Bereiche im eigenen Land, in denen die EU eine stärkere Rolle spielen sollte. 2. Kooperation zwischen der EU und dem eigenen Land: Einstellung zu ausgewählten Aussagen: angemessenes Informationsangebot über die EU im eigenen Land erhältlich, verständliche Kommunikation der EU in Bezug auf das eigene Land; effektivste Institutionen bei der Unterstützung der wirtschaftlichen Entwicklung im eigenen Land; effektivste Institutionen bei der Unterstützung von Sicherheit und Stabilität im eigenen Land; Ausmaß des Beitrags der folgenden lokalen Akteure zur wirtschaftlichen Entwicklung im eigenen Land: nationale Regierung, Präsidentschaft (nicht in MA, JO), private Unternehmen im eigenen Land, nationale Banken, NGOs, religiöse Organisationen, regionale öffentliche Behörden (nicht in IL), lokale öffentliche Behörden; wichtigste Bereiche der Kooperation zwischen der EU und dem eigenen Land; präferierter Bereich für die Entwicklungshilfe der EU im eigenen Land. 3. Institutionenvertrauen: Vertrauen in ausgewählte Medien: gedruckte Presse, Radio, Fernsehen, Internet; persönliches Benutzerkonto bei: facebook, twitter, LinkedIn, Google+, Vkontakte (nur in RU, AM, AZ, BY, GE, MD, UA), Odnoklassniki (nur in RU, AM, AZ, BY, GE, MD, UA), Netlog (nur in DZ, EG, JO, LB, LY, MA, PS, TN), Lifejournal (nur in RU, AM, AZ, BY, UA); Häufigkeit der Nutzung der vorgenannten Netzwerke; Vertrauen in die folgenden Institutionen: Europäische Union, Vereinte Nationen, NATO, Arabische Liga (nur in DZ, EG, TN, JO, LB, PS, MA); Vertrauen in ausgewählte nationale Institutionen: nationale Regierung, nationales Parlament, regionale öffentliche Behörden, lokale öffentliche Behörden, politische Parteien; Demokratiezufriedenheit im eigenen Land und in der eigenen Region; Ausmaß der Anwendbarkeit der folgenden Eigenschaften auf das eigene Land: Redefreiheit, freie Wahlen, Gleichberechtigung der Geschlechter, Schutz der Rechte von Minderheiten, Unabhängigkeit der Justiz, Pressefreiheit, Recht, zu wählen, Wahrung der Menschenrechte, Rechtsstaatlichkeit, Good Governance, Fehlen von Korruption; Eigenschaften, die am treffendsten das Konzept der Demokratie beschreiben. 4. Globale Krise: Einschätzung der Auswirkungen der Krise auf die nationale Wirtschaft und die persönliche Situation; eigener Arbeitsplatzverlust bzw. eines Familienmitglieds oder von Freunden oder Kollegen aufgrund der Krise. 5. Mobilität und Migration: Wahrscheinlichkeit eines Umzugs in ein anderes Land in den nächsten zwei Jahren sowie Namen der in Frage kommenden Länder; Wissenstest in Bezug auf ausgewählte Aspekte legaler Migration in andere Länder: mögliche Informationsquellen, Vorgehen und Verfahren, Möglichkeit der Ablehnung von Visaanträgen; geplante Aufenthaltsdauer; Gründe für einen Wegzug; Vorbereitungen für den Wegzug; Verwandte oder Freunde im Aufenthaltsland; größte Schwierigkeiten beim Umzug in ein anderes Land; geschätzte Veränderung der Anzahl von Migranten aus dem eigenen Land in Länder der Europäischen Union in den vergangenen zwölf Monaten; Kenntnis über illegale Migration über das Mittelmeer; Hauptgründe für die Auswanderung in EU-Länder; Kennen illegaler Einwanderer. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Familienstand; Beruf; berufliche Stellung; Aufenthalte in einem anderen EU-Land in den letzten zwölf Monaten aus folgenden Gründen: geschäftlich, Urlaub, Wohnen oder Arbeiten, Studium; EU-Länder, in denen sich in den letzten zwölf Monaten aufgehalten wurde; aus folgenden Gründen in einem anderen EU-Land lebende Verwandte: Arbeit, Studium, andere; Selbsteinschätzung der gesellschaftlichen Stellung (Skalometer); finanzielle Schwierigkeiten im letzten Jahr; Haushaltszusammensetzung und Haushaltsgröße; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt; Besitz langlebiger Wirtschaftsgüter (Unterhaltungselektronik, Internet-Anschluss, Autobesitz, abbezahltes bzw. noch abzuzahlendes Wohnungs- bzw. Hauseigentum); Internetnutzung (zu Hause, am Arbeitsplatz, in der Schule etc.); Urbanisierungsgrad. Zusätzlich verkodet wurde: Befragten-ID; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); anwesende Personen während des Interviews; Kooperationsbereitschaft des Befragten; Ortsgröße; Region; Interviewer-ID; Gewichtungsfaktor. Attitudes towards the European Union. Cooperation between the EU and the own country. Trust in institutions. Global crisis. Mobility and migration. Topics: 1. Attitudes towards the European Union: life satisfaction; frequency of discussions about political matters on international, national, and local level with friends and relatives; opinion leadership; assessment of the current situation in the following areas: national economy, global economy, personal job situation, financial situation of the own household; expected development in the next twelve months regarding: national economy, personal job situation, financial situation of the own household, national employment situation, personal life in general; most important problems in the own country; general direction things are going: in the own country, in the Arab world (only in DZ, EG, TN, JO, LB, LY, PS, MA), in the European Union, in the world; image of the EU; assessment of the relations of the own country with the EU; awareness of financial support for the own country provided by the EU in the context of cooperation programmes; knowledge of specific programmes; areas with the highest benefit from current European Union’s policies for the own country; attitude towards the following statements: EU has appropriate level of involvement in the own country, EU brings peace and stability in region surrounding the own country, EU is an important partner of the own country, sufficient common values of own country and EU as the basis for cooperation, EU support contributes a lot to own country’s development; prioritized areas the EU should play a greater role in in the own country. 2. Cooperation between the EU and the own country: attitude towards selected statements: appropriate amount of information on the EU available in the own country, clear communication from the EU regarding the own country; most effective actors in helping economic development in the own country; most effective actors in helping security and stability in the own country; extent of contribution of the following local actors to economic development in the own country: national government, presidency (not in MA, JO), private companies in the own country, national banks, NGOs, religious organisations, regional public authorities (not in IL), local public authorities; most important areas of cooperation between the EU and the own country; preferred area to focus EU’s development aid for the own country on. 3. Trust in institutions: trust in selected media: printed press, radio, TV, internet; personal account on: facebook, twitter, LinkedIn, Google+, Vkontakte (only in RU, AM, AZ, BY, GE, MD, UA), Odnoklassniki (only in RU, AM, AZ, BY, GE, MD, UA), Netlog (only in DZ, EG, JO, LB, LY, MA, PS, TN), Lifejournal (only in RU, AM, AZ, BY, UA); frequency of using the aforementioned networks; trust in the following institutions: European Union, United Nations, NATO, Arab League (only in DZ, EG, TN, JO, LB, PS, MA); trust in selected national bodies: national government, national parliament, regional public authorities, local public authorities, political parties; satisfaction with democracy in the own country and in the own region; extent of applicability of the following elements to the own country: freedom of speech, free elections, gender equality, protection of the rights of minorities, independence of justice, freedom of press, rights of vote, respect of human rights, rule of law, good governance, lack of corruption; elements that best describe the concept of democracy. 4. Global crisis: assessment of the impact of the crisis on the national economic situation and the personal situation; experienced loss of job due to crisis: respondent himself / herself, family member or close friend, colleague. 5. Mobility and migration: likelihood of moving to another country in the next two years and name of countries intended to

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Akbar Zamanzadeh; Rajabrata Banerjee; Tony Cavoli (2022). Data and code for Mental wellbeing and job loss during health crisis: International evidence [Dataset]. http://doi.org/10.3886/E179521V1

Data and code for Mental wellbeing and job loss during health crisis: International evidence

Explore at:
Dataset updated
Sep 7, 2022
Dataset provided by
University of South Australia
Authors
Akbar Zamanzadeh; Rajabrata Banerjee; Tony Cavoli
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 22, 2020 - Apr 23, 2020
Area covered
UK, China, South Korea, US, Japan, Italy
Description

Using a rich individual level dataset from six countries, we examine the association between job loss and mental wellbeing loss during the first phase of the COVID-19 pandemic. We consider four indicators of mental health status based on their severity, viz. anxiety, insomnia, boredom, and loneliness. We draw our conclusions based on two groups of countries that differ by the timing of their peak infections count. Using a logit model and controlling for endogeneity, we find that the people who lost their jobs due to the pandemic are more likely to suffer from mental wellbeing loss, especially insomnia and loneliness. Additionally, people with financial liabilities, such as housing mortgages, are among the mentally vulnerable groups to anxiety. Women, urban residences, youth, low-income groups, and tobacco users are more prone to mental wellbeing loss. The findings from this research have significant policy implications on infectious disease control measures and mental health status due to lockdowns and social distancing.

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