18 research outputs found
BTC price volatility: Fundamentals versus information
This paper offers a plausible response to “what explains the sporadic volatility in the price of Bitcoin?” We hypothesized that market “fundamentals” and “information demands” are key drivers of Bitcoin’s unpredictable price fluctuation. We adopt the transfer-function [Autoregressive Distributed Lag, ARDL] model and its Bounds testing approach to verify how the volatility of the price of Bitcoin responds to its transaction volume, cryptocurrency market capitalisation, world market equity index and Google search. We found the existence of long-run cointegration relation and observed that all the variables except the equity index positively explain the volatility of Bitcoin price. The result established evidence that market fundamentals drive erratic swing in Bitcoin price than information. Keywords: Bitcoin price volatility Bitcoin market fundamentals information demand ARD
Outcomes from elective colorectal cancer surgery during the SARS-CoV-2 pandemic
This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic
Research data supporting "Cross-linguistic patterns in the acquisition of quantifiers"
Response_Data.csv: Participant responses ('correct' or 'incorrect') to sentences with quantifiers ('all', 'none', 'some', 'some...not', 'most') in 31 languages presented in the context of different visual displays. Item_Coding.csv: How sentences with quantifiers ('all', 'none', 'some', 'some...not', 'most') were coded
Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
The European Values Study (EVS) and the World Values Survey (WVS) are two large-scale, cross-national and longitudinal survey research programmes. They include a large number of questions on moral, religious, social, political, occupational and family values which have been replicated since the early eighties. Both organizations agreed to cooperate in joint data collection from 2017. EVS has been responsible for planning and conducting surveys in European countries, using the EVS questionnaire and EVS methodological guidelines. WVSA has been responsible for planning and conducting surveys in countries in the world outside Europe, using the WVS questionnaire and WVS methodological guidelines. Both organisations developed their draft master questionnaires independently. The joint items define the Common Core of both questionnaires. The Joint EVS/WVS is constructed from the two EVS and WVS source datasets: - European Values Study 2017 Integrated Dataset (EVS 2017), ZA7500 Data file Version 4.0.0, doi:10.4232/1.13560 (https://doi.org/10.4232/1.13560). - European Values Study 2017: Ukraine (EVS 2017), ZA7539 Data file Version 1.0.0, doi:10.4232/1.13714 (https://doi.org/10.4232/1.13714). - World Values Survey: Round Seven–Country-Pooled Datafile. Version 2.0.0, doi: 10.14281/18241.13 (https://doi.org/10.14281/18241.13).The European Values Study (EVS) and the World Values Survey (WVS) are two large-scale, cross-national and longitudinal survey research programmes. They include a large number of questions on moral, religious, social, political, occupational and family values which have been replicated since the early eighties. Both organizations agreed to cooperate in joint data collection from 2017. EVS has been responsible for planning and conducting surveys in European countries, using the EVS questionnaire and EVS methodological guidelines. WVSA has been responsible for planning and conducting surveys in countries in the world outside Europe, using the WVS questionnaire and WVS methodological guidelines. Both organisations developed their draft master questionnaires independently. The joint items define the Common Core of both questionnaires. The Joint EVS/WVS is constructed from the two EVS and WVS source datasets: - European Values Study 2017 Integrated Dataset (EVS 2017), ZA7500 Data file Version 4.0.0, doi:10.4232/1.13560 (https://doi.org/10.4232/1.13560). - European Values Study 2017: Ukraine (EVS 2017), ZA7539 Data file Version 1.0.0, doi:10.4232/1.13714 (https://doi.org/10.4232/1.13714). - World Values Survey: Round Seven–Country-Pooled Datafile. Version 2.0.0, doi: 10.14281/18241.13 (https://doi.org/10.14281/18241.13)
EVS Trend File 1981-2017 – Sensitive Dataset
The European Values Study is a large-scale, cross-national and longitudinal survey research program on how Europeans think about family, work, religion, politics, and society. Repeated every nine years in an increasing number of countries, the survey provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe. The EVS Trend File 1981-2017 is constructed from the five EVS waves and covers almost 40 years. In altogether 160 surveys, more than 224.000 respondents from 48 countries/regions were interviewed. It is based on the updated data of the EVS Longitudinal Data File 1981-2008 (v.3.1.0) and the current EVS 2017 Integrated Dataset (v.5.0.0). For the EVS Trend File, a Restricted-Use File (ZA7504) is available in addition to the (factually anonymised) Scientific-Use File (ZA7503). The EVS Trend File – Sensitive Dataset (ZA7504) is provided as an add-on file. In addition to a small set of admin and protocol variables needed to merge with the SUF data, the Sensitive Dataset contains the following variables that could not be included in the scientific-use file due to their sensitive nature: W005_3 Job profession/industry (3-digit ISCO88) - spouse/partner EVS 2008W005_3_01 Job profession/industry (3-digit ISCO08) - spouse/partner EVS 2017W005_4 Job profession/industry (4-digit ISCO88) - spouse/partner EVS 2008X035_3 Job profession/industry (3-digit ISCO88) – respondent EVS 1999, EVS 2008 X035_3_01 Job profession/industry (3-digit ISCO08) - respondent EVS 2017X035_4 Job profession/industry (4-digit ISCO88) – respondent EVS 1999, EVS 2008 x048c_n3 Region where the interview was conducted (NUTS-3): NUTS version 2006 EVS 2008X048J_N3 Region where the interview was conducted (NUTS-3): NUTS version 2016 EVS 2017X049 Size of town (8 categories) EVS 2008, EVS 2017 Detailed information on the anonymization process in the EVS Trend File is provided in the EVS Trend File Variable Report
International Social Survey Programme: Social Inequality IV - ISSP 2009
Social inequality. Themes: Importance of social background, merit, discrimination,corruption and good relations as prerequisites for success in society(wealthy family, well-educated parents, good education, ambitions, hardworking, knowing the right people, political connections, givingbribes, person´s race and religion, gender); attitude towards equalityof educational opportunity in one´s country (corruption as criteria forsocial mobility, only students from the best secondary schools have agood chance to obtain a university education, only rich people canafford the costs of attending university, same chances for everyone toenter university, regardless of gender, ethnicity or socialbackground); opinion about own salary: actual occupational earning isadequate; estimation of actual and reasonable earnings for occupationalgroups: doctor, chairman of a large national corporation, shopassistant, unskilled worker in a factory, cabinet minister in thenational government; income differences are too large in therespondent´s country; responsibility of government to reduce incomedifferences; government should provide a decent standard of living forthe unemployed and spend less on benefits for poor people; demand forhigher taxes for people with high incomes; opinion on taxes for peoplewith high income; justification of better medical supply and bettereducation for people with higher income; perception of class conflictsbetween social groups in the country (poor and rich people, workingclass and middle class, management and workers, people at the top ofsociety and people at the bottom); self-assessment and assessment ofthe family the respondent grew up in on a top-bottom-scale; socialposition compared to father (social mobility); salary criteria (scale:responsibility, education, needed support for family and children,quality of job performance or hard work at the job); feeling of a justpayment; characterisation of the actual and the desired social systemof the country, measured by classification on pyramid diagrams (imageof society). Demography: sex; age; marital status; steady life partner; years ofschooling; highest education level; country specific education anddegree; current employment status (respondent and partner); hoursworked weekly; occupation (ISCO 1988) (respondent and partner);supervising function at work; working for private or public sector orself-employed (respondent and partner); if self-employed: number ofemployees; trade union membership; earnings of respondent (countryspecific); family income (country specific); size of household;household composition; party affiliation (left-right); country specificparty affiliation; participation in last election; religiousdenomination; religious main groups; attendance of religious services;self-placement on a top-bottom scale; region (country specific); sizeof community (country specific); type of community: urban-rural area;country of origin or ethnic group affiliation; occupation status andprofession of respondent´s father and mother during the youth of therespondent (ISCO 88); number of books in the parental home during theyouth of the respondent (cultural resources); occupational status andprofession in the first job and the current job (ISCO 88 and workingtype); self-assessment of the social class; estimated amount of familywealth (monetary value of assets); work orientation:self-characterisation at this time and in the youth of the respondentconcerning his performance at work respectively at school. Additionally coded: administrative mode of data-collection; weightingfactor; case substitution