The survey collects relevant information about respondents' financial literacy, financial inclusion and socio-demographics. Of particular interest are the financial knowledge, financial behaviour and financial attitudes as well as awareness and holding of financial products of adults in Germany. The questionnaire covers topics such as keeping track of finances, making-ends-meet and longer-term financial planning. Furthermore, numeracy skills within a financial context and basic knowledge of financial concepts (e.g. time-value of money, compound interest or diversification) are tested. The survey is coordinated by the OECD International Network on Financial Education (INFE) and was developed to provide internationally comparable data on financial literacy and financial inclusion. The third wave was carried out in 2019, and in total 1003 telephone interviews were conducted via random digit dialling by BaFin in collaboration with an external survey institute. The anonymized micro data is available as a Scientific Use File.
The survey collects relevant information about respondents' financial literacy, financial inclusion and socio-demographics. Of particular interest are the financial knowledge, financial behaviour and financial attitudes as well as awareness and holding of financial products of adults in Germany. The questionnaire consists of 40 questions and covers e.g. topics such as keeping track of finances, making-ends-meet and longer-term financial planning. Furthermore, numeracy skills within a financial context and basic knowledge of financial concepts (e.g. time-value of money, compound interest or diversification) are tested. The survey is coordinated by the OECD International Network on Financial Education (INFE) and was developed to provide internationally comparable data on financial literacy and financial inclusion. The second wave was carried out in 2016, and in total 1001 telephone interviews were conducted via random digit dialling by the Deutsche Bundesbank in cooperation with the market research institute GfK. The anonymized micro data is available as a Scientific Use File.
The survey collects relevant information about respondents' financial literacy, financial inclusion and socio-demographics. Of particular interest are the financial knowledge, financial behaviour and financial attitudes as well as awareness and holding of financial products of adults in Germany. The questionnaire consists of 40 questions and covers e.g. topics such as keeping track of finances, making-ends-meet and longer-term financial planning. Furthermore, numeracy skills within a financial context and basic knowledge of financial concepts (e.g. time-value of money, compound interest or diversification) are tested. The survey is coordinated by the OECD International Network on Financial Education (INFE) and was developed to provide internationally comparable data on financial literacy and financial inclusion. The first two waves were carried out in 2010 and 2016 by the Deutsche Bundesbank in cooperation with the market research institute GfK. In total, 1000 telephone interviews were conducted via random digit dialling in each wave. The anonymized micro data for both waves are available as Scientific Use Files.
Eine große Mehrheit der Bürger unterstützt die deutsche Energiewende. Doch die Energiewende umfasst eine Vielzahl von Facetten, die die Unterstützung bestimmen. Das Barometer Soziale Nachhaltigkeit bietet eine umfassende Datenbasis zu einer Vielzahl von Fragen im Zusammenhang mit der Energiewende, die in drei Befragungswellen von 2017 bis 2019 unter mehr als 6.000 Haushaltsvorständen erhoben wurden.
A growing body of literature confirms the existence of different social models, identified according to different combinations of policies and institutions. Knogler and Lankes aim to contribute to this literature by exploring characteristics of social policies in the enlarged European Union. The analysis is based on a set of social policy indicators with a focus on labour markets. By means of Principal Component Analysis they identify four major dimensions of social models. The dimensions are used as a basis for clustering countries into social models, which significantly differ from the commonly proposed regional classification of social models prior to enlargement.
Motivated by growth models based on the variety of capital goods, recent empirical studies have established links between productivity and several trade-based measures of product variety, carrying the implication that these measures may represent technology. French and Gaucaite-Wittich (2009) study this implication by explicitely proposing the variety of capital goods available for production as a direct measure of the state of technology.
The Kazakhstan Migration and Remittances Survey (KMRS) data were collected in the framework of the research project "Migration and Remittances in Central Asia: The Case of Kazakhstan and Tajikistan", which was funded by the Volkswagen Foundation in 2009-2013. The KMRS 2010 was designed and implemented by the Institute for East- and Southeast European Studies Regensburg, Germany, in cooperation with the Center for Study of Public Opinion (CIOM) Almaty, Kazakhstan.
Das RWI untersucht in dieser Pilotstudie im Rahmen eines randomisierten Experiments, ob Bonuszahlungen für das Abnehmen und Halten des Gewichts ein wirksames Instrument zur Bekämpfung von Übergewicht sein können. Die Ergebnisse sind für Bonusprogramme von Krankenkassen sowie im betrieblichen Gesundheitsmanagement von großer Bedeutung. Übergewicht ist zu einer der häufigsten und am schnellsten wachsenden gesundheitlichen Bedrohungen geworden. Bei Krankheits- und Todesursachen nimmt es in Deutschland die führende Rolle ein. Neuere Studien schätzen die direkten Kosten von Übergewicht in Deutschland auf jährlich 530 Mill. Euro, die durch Folgeerkrankungen hervorgerufenen Kosten auf jährlich sogar 5 Mrd. Euro. Die meisten Folgekrankheiten lassen sich mit einer relativ geringen Gewichtsabnahme von 10-15% beheben. Allerdings sind Anstrengungen zur Gewichtsreduktion zumeist wenig erfolgreich. Die Erfolgsrate kann möglicherweise durch eine finanzielle Prämie für Abnehmen erhöht werden. Mit dieser Studie soll deren Wirksamkeit erforscht werden. Dazu erhalten übergewichtige Patienten aus vier baden-württembergischen Rehabilitationskliniken der Deutschen Rentenversicherung mit einem Body-Mass-Index von über 30 am Ende ihres Klinikaufenthalts ein persönliches Gewichtsreduktionsziel, das sie innerhalb von vier Monaten erreichen sollen. Sie werden per Zufallsziehung einer von drei Gruppen zugeordnet: Ein Drittel der Patienten bekommt für das Erreichen ihres Ziels eine Prämie von 300 Euro in Aussicht gestellt, ein weiteres Drittel 150 Euro, das übrige Drittel keine Prämie. Nach vier Monaten sollen die Patienten eine Apotheke aufsuchen, die zur Erfolgskontrolle das Körpergewicht, den Blutzuckerspiegel und den Gesamtcholesterinwert misst. In den darauf folgenden sechs und nach weiteren zwölf Monaten sollen die Patienten das Gewicht halten. Erneut können sie je nach Gruppenzugehörigkeit und Zielerreichung eine Prämienzahlung erhalten. Die Daten werden vom RWI statistisch ausgewertet. Drei Typen von Daten: (1) Daten aus medizinischen Erhebungsbögen, die durch medizinisches Fachpersonal in den Reha-Kliniken und in Apotheken ausgefüllt wurden. (2) Daten aus vier verschiedenen Fragebögen zu sozio-ökonomischen Hintergund und Gesundheitszustand, die von den Studienteilnehmern selbst ausgefüllt wurden. (3) Administrative Daten, die von den Autoren zwecks Identifizierung der Studienteilnehmer generiert wurden und darüber hinaus zusätzliche Informationen enthalten.
The Tajikistan Household Panel Survey (THPS) data were collected in the framework of the research project "Migration and Remittances in Central Asia: The Case of Kazakhstan and Tajikistan", which was funded by the Volkswagen Foundation in 2009-2013. The THPS 2011 was initiated by the Institute for East- and Southeast European Studies Regensburg, Germany, to explore migration and remittances in Tajikistan. The study was implemented in cooperation with the SHARQ Research Center in Dushanbe, Tajikistan. The THPS 2011 was based on the Tajikistan Living Standards Measurement Survey (TLSS) administered by the World Bank and UNICEF in 2007 (wave 1) and 2009 (wave 2). These data generate a unique panel data base on migration and remittances in a developing country.
The Diagnosis-Related Groups Statistic (DRG) is an anual complete survey of all fully stationary hospital cases in Germany that were accounted for by case rates. The microdata can be requested via the RDC starting from the survey year 2005. The case rate based DRG accounting system was introduced when the hospital financing was amended in 2000. Starting from 1 January 2004, this accounting system is obligatory for general hospitals. The DRG Statistic is a secundary statistic. The data is not collected by the statistical offices of the Federation and the federal states but by the Institut für das Entgeltsystem im Krankenhaus (InEK). The data for the DRG Statistic are taken from the datasets that the hospitals send to the InEK for accounting purposes. The InEK transmitts a legally exactly defined variable selection of these extensive structure and services data to the Federal Statistical Office. The DRG Statistic includes the continuous fully stationary treatment in the hospital (treatment chain) independent of the number of undergone specialist departments. Paramount are the information on operations and treatments, kind and amount of the invoiced charges (DRG case rates, effective valuation ratio, casemix) as well as main and secondary diagnosis. Besides, sociodemographic characteristics of the hospital cases such as age, sex and living region are recorded.
The Diagnosis-Related Groups Statistic (DRG) is an anual complete survey of all fully stationary hospital cases in Germany that were accounted for by case rates. The microdata can be requested via the RDC starting from the survey year 2005. The case rate based DRG accounting system was introduced when the hospital financing was amended in 2000. Starting from 1 January 2004, this accounting system is obligatory for general hospitals. The DRG Statistic is a secundary statistic. The data is not collected by the statistical offices of the Federation and the federal states but by the Institut für das Entgeltsystem im Krankenhaus (InEK). The data for the DRG Statistic are taken from the datasets that the hospitals send to the InEK for accounting purposes. The InEK transmitts a legally exactly defined variable selection of these extensive structure and services data to the Federal Statistical Office. The DRG Statistic includes the continuous fully stationary treatment in the hospital (treatment chain) independent of the number of undergone specialist departments. Paramount are the information on operations and treatments, kind and amount of the invoiced charges (DRG case rates, effective valuation ratio, casemix) as well as main and secondary diagnosis. Besides, sociodemographic characteristics of the hospital cases such as age, sex and living region are recorded.
The Diagnosis-Related Groups Statistic (DRG) is an anual complete survey of all fully stationary hospital cases in Germany that were accounted for by case rates. The microdata can be requested via the RDC starting from the survey year 2005. The case rate based DRG accounting system was introduced when the hospital financing was amended in 2000. Starting from 1 January 2004, this accounting system is obligatory for general hospitals. The DRG Statistic is a secundary statistic. The data is not collected by the statistical offices of the Federation and the federal states but by the Institut für das Entgeltsystem im Krankenhaus (InEK). The data for the DRG Statistic are taken from the datasets that the hospitals send to the InEK for accounting purposes. The InEK transmitts a legally exactly defined variable selection of these extensive structure and services data to the Federal Statistical Office. The DRG Statistic includes the continuous fully stationary treatment in the hospital (treatment chain) independent of the number of undergone specialist departments. Paramount are the information on operations and treatments, kind and amount of the invoiced charges (DRG case rates, effective valuation ratio, casemix) as well as main and secondary diagnosis. Besides, sociodemographic characteristics of the hospital cases such as age, sex and living region are recorded.
The Diagnosis-Related Groups Statistic (DRG) is an anual complete survey of all fully stationary hospital cases in Germany that were accounted for by case rates. The microdata can be requested via the RDC starting from the survey year 2005. The case rate based DRG accounting system was introduced when the hospital financing was amended in 2000. Starting from 1 January 2004, this accounting system is obligatory for general hospitals. The DRG Statistic is a secundary statistic. The data is not collected by the statistical offices of the Federation and the federal states but by the Institut für das Entgeltsystem im Krankenhaus (InEK). The data for the DRG Statistic are taken from the datasets that the hospitals send to the InEK for accounting purposes. The InEK transmitts a legally exactly defined variable selection of these extensive structure and services data to the Federal Statistical Office. The DRG Statistic includes the continuous fully stationary treatment in the hospital (treatment chain) independent of the number of undergone specialist departments. Paramount are the information on operations and treatments, kind and amount of the invoiced charges (DRG case rates, effective valuation ratio, casemix) as well as main and secondary diagnosis. Besides, sociodemographic characteristics of the hospital cases such as age, sex and living region are recorded.
The Diagnosis-Related Groups Statistic (DRG) is an anual complete survey of all fully stationary hospital cases in Germany that were accounted for by case rates. The microdata can be requested via the RDC starting from the survey year 2005. The case rate based DRG accounting system was introduced when the hospital financing was amended in 2000. Starting from 1 January 2004, this accounting system is obligatory for general hospitals. The DRG Statistic is a secundary statistic. The data is not collected by the statistical offices of the Federation and the federal states but by the Institut für das Entgeltsystem im Krankenhaus (InEK). The data for the DRG Statistic are taken from the datasets that the hospitals send to the InEK for accounting purposes. The InEK transmitts a legally exactly defined variable selection of these extensive structure and services data to the Federal Statistical Office. The DRG Statistic includes the continuous fully stationary treatment in the hospital (treatment chain) independent of the number of undergone specialist departments. Paramount are the information on operations and treatments, kind and amount of the invoiced charges (DRG case rates, effective valuation ratio, casemix) as well as main and secondary diagnosis. Besides, sociodemographic characteristics of the hospital cases such as age, sex and living region are recorded.
The Diagnosis-Related Groups Statistic (DRG) is an anual complete survey of all fully stationary hospital cases in Germany that were accounted for by case rates. The microdata can be requested via the RDC starting from the survey year 2005. The case rate based DRG accounting system was introduced when the hospital financing was amended in 2000. Starting from 1 January 2004, this accounting system is obligatory for general hospitals. The DRG Statistic is a secundary statistic. The data is not collected by the statistical offices of the Federation and the federal states but by the Institut für das Entgeltsystem im Krankenhaus (InEK). The data for the DRG Statistic are taken from the datasets that the hospitals send to the InEK for accounting purposes. The InEK transmitts a legally exactly defined variable selection of these extensive structure and services data to the Federal Statistical Office. The DRG Statistic includes the continuous fully stationary treatment in the hospital (treatment chain) independent of the number of undergone specialist departments. Paramount are the information on operations and treatments, kind and amount of the invoiced charges (DRG case rates, effective valuation ratio, casemix) as well as main and secondary diagnosis. Besides, sociodemographic characteristics of the hospital cases such as age, sex and living region are recorded.
