Beim PHF Scientific Use File (SUF) Welle 2 Version 4.0 handelt es sich um die dritte aktualisierte Version des PHF Datensatzes der zweiten Welle. Er besteht aus den folgenden fünf Sata-Dateien: PHF_h_wave2_v4_0.dta, PHF_p_wave2_v4_0.dta, PHF_m_wave2_v4_0.dta, PHF_d_wave2_v4_0.dta und PHF_w_wave2_v4_0.dta. Die wichtigsten Änderungen im PHF SUF Welle 2 Version 4.0 im Vergleich zur Vorgängerversion PHF SUF Welle 2 Version 3.0 sind wie folgt:
Editieren und Korrektur einiger Werte. Die Definition der Derived Variables wurde soweit möglich über alle Wellen vereinheitlicht.
Weiter Informationen finden Sie im PHF User Guide auf den Webseiten der Deutsche Bundesbank.
Beim PHF Scientific Use File (SUF) Welle 3 Version 2.0 handelt es sich um die erste aktualisierte Version des PHF Datensatzes der dritten Welle. Er besteht aus den folgenden fünf Sata-Dateien: PHF_h_wave3_v2_0.dta, PHF_p_wave3_v2_0.dta, PHF_m_wave3_v2_0.dta, PHF_d_wave3_v2_0.dta und PHF_w_wave3_v2_0.dta. Die wichtigsten Änderungen im PHF SUF Welle 3 Version 2.0 im Vergleich zur Vorgängerversion PHF SUF Welle 3 Version 1.0 sind:
Editieren und Korrektur einiger Werte. Der Datensatz enthält zusätzliche Variablen. Die Definition der Derived Variables wurde soweit möglich über alle Wellen vereinheitlicht.
Weiter Informationen finden Sie im PHF User Guide auf den Webseiten der Deutsche Bundesbank.
The PHF scientific use file Wave 2 Version 3.0 data set is the second updated version of the wave 2 PHF data set and consists of the following five Stata files: PHF_h_wave2_v3_0.dta, PHF_p_wave2_v3_0.dta, PHF_m_wave2_v3_0.dta, PHF_d_wave2_v3_0.dta and PHF_w_wave2_v3_0.dta. The major changes in SUF Wave 2 Version 3.0 compared to SUF Wave 2 Version 2.0 are as follows:
Editing and correction of some values.
For more details, see the PHF User Guide on website of the Deutsche Bundesbank.
The PHF scientific use file Wave 3 Version 1.0 data set is the first version of the wave 3 PHF data set and consists of the following five Stata files: PHF_h_wave3_v1_0.dta, PHF_p_wave3_v1_0.dta, PHF_m_wave3_v1_0.dta, PHF_d_wave3_v1_0.dta and PHF_w_wave3_v1_0.dta. For more details, see the PHF User Guide on website of the Deutsche Bundesbank.
The PHF scientific use file Wave 2 Version 2.0 data set is the first updated version of the wave 2 PHF data set and consists of the following five Stata files: PHF_h_wave2_v2_0.dta, PHF_p_wave2_v2_0.dta, PHF_m_wave2_v2_0.dta, PHF_d_wave2_v2_0.dta and PHF_w_wave2_v2_0.dta. The major changes in SUF Wave 2 Version 2.0 compared to SUF Wave 2 Version 1.0 are as follows:
A set of derived variables has been included (PHF_d_wave2_v2_0.dta) An improved imputation algorithm (especially with regard to the gross/net income conversion) was used to update the data The replicate weights (PHF_w_wave2_v2_0.dta) and cross-sectional household weights (in PHF_h_wave2_v2_0.dta) were newly calibrated using updated population statistics Additional editing and correction of some values.
For more details, see the PHF User Guide on website of the Deutsche Bundesbank.
Beim PHF Scientific Use File (SUF) Welle 1 Version 4.0 handelt es sich um die dritte aktualisierte Version des PHF Datensatzes der ersten Welle. Er besteht aus den folgenden fünf Sata-Dateien: PHF_h_wave1_v4_0.dta, PHF_p_wave1_v4_0.dta, PHF_m_wave1_v4_0.dta, PHF_d_wave1_v4_0.dta und PHF_w_wave1_v4_0.dta. Die wichtigsten Änderungen im PHF SUF Welle 1 Version 4.0 im Vergleich zur Vorgängerversion PHF SUF Welle 1 Version 3.0 sind wie folgt:
Editieren und Korrektur einiger Werte. Die Definition der Derived Variables wurde soweit möglich über alle Wellen vereinheitlicht.
Weiter Informationen finden Sie im PHF User Guide auf den Webseiten der Deutsche Bundesbank.
The PHF scientific use file Wave 1 Version 3.0 data set is the second updated version of the wave 1 PHF data set and consists of the following five Stata files: PHF_h_wave1_v3_0.dta, PHF_p_wave1_v3_0.dta, PHF_m_wave1_v3_0.dta, PHF_d_wave1_v3_0.dta and PHF_w_wave1_v3_0.dta. The major changes in SUF Wave 1 Version 3.0 compared to SUF Wave 1 Version 2.0 are as follows:
Editing and correction of some values.
For more details, see the PHF User Guide on website of the Deutsche Bundesbank.
The PHF scientific use file Wave 1 Version 2.0 data set is the first updated version of the wave 1 PHF data set and consists of the following five Stata files: PHF_h_wave1_v2_0.dta, PHF_p_wave1_v2_0.dta, PHF_m_wave1_v2_0.dta, PHF_d_wave1_v2_0.dta and PHF_w_wave1_v2_0.dta. The major changes in SUF Wave 1 Version 2.0 compared to the first release of SUF Wave 1 are as follows:
A set of derived variables has been included (PHF_d_wave2_v2_0.dta) Additional IDs (wave, persid) were introduced to account for the panel structure To get comparable flags for both waves, the coding of the flags was adjusted to the coding of the flags in wave 2. Additional filter checks, as well as editing and correction of some values.
For more details, see the PHF User Guide on website of the Deutsche Bundesbank.
The microcensus is an official statistical survey which is carried out annually since 1957 using a representative sample of one percent of the German population and households. In total, about 380,000 households and 820,000 household members participate in the survey. Being designed as a multi-subject survey, the microcensus provides major statistical information about the population structure (including detailed information about migration backgrounds), the framework of families and households as well as employment, income, education and vocational training. For the majority of questions there is an obligation to provide information. Additionally, a set of questions is subject to voluntary response, including information about subjects such as health, health insurance, housing situation or retirement provisions. The supplementary program is repeated at four-year intervals. Given its broad range of variables and its large sample size, the microcensus forms an appropriate data base to analyse small subpopulations, as for example single migrant and occupational groups. Detailed regional analyses increasingly gain significance in scientific research, for example with regard to life chances of different social groups. Results of regional analyses can e.g. be displayed on the level of regional adjustment shifts - regional units of on average 500,000 inhabitants. Furthermore, the high continuity of the survey design allows for (cross-sectional) analyses over time, by which historical developments can be revealed. Being designed as a rotating panel, the microcensus can as well be used for longitudinal analyses. Finally, the microcensus is also suitable for comparisons in an international context since various subjects are adapted to international standards (e.g. the labour force concept). Characterized by its large sampling fraction, a variety of subjects and temporal continuity, the microcensus constitutes an important data source for the social sciences.
The microcensus is an official statistical survey which is carried out annually since 1957 using a representative sample of one percent of the German population and households. In total, about 380,000 households and 820,000 household members participate in the survey. Being designed as a multi-subject survey, the microcensus provides major statistical information about the population structure (including detailed information about migration backgrounds), the framework of families and households as well as employment, income, education and vocational training. For the majority of questions there is an obligation to provide information. Additionally, a set of questions is subject to voluntary response, including information about subjects such as health, health insurance, housing situation or retirement provisions. The supplementary program is repeated at four-year intervals. Given its broad range of variables and its large sample size, the microcensus forms an appropriate data base to analyse small subpopulations, as for example single migrant and occupational groups. Detailed regional analyses increasingly gain significance in scientific research, for example with regard to life chances of different social groups. Results of regional analyses can e.g. be displayed on the level of regional adjustment shifts - regional units of on average 500,000 inhabitants. Furthermore, the high continuity of the survey design allows for (cross-sectional) analyses over time, by which historical developments can be revealed. Being designed as a rotating panel, the microcensus can as well be used for longitudinal analyses. Finally, the microcensus is also suitable for comparisons in an international context since various subjects are adapted to international standards (e.g. the labour force concept). Characterized by its large sampling fraction, a variety of subjects and temporal continuity, the microcensus constitutes an important data source for the social sciences.
The microcensus is an official statistical survey which is carried out annually since 1957 using a representative sample of one percent of the German population and households. In total, about 380,000 households and 820,000 household members participate in the survey. Being designed as a multi-subject survey, the microcensus provides major statistical information about the population structure (including detailed information about migration backgrounds), the framework of families and households as well as employment, income, education and vocational training. For the majority of questions there is an obligation to provide information. Additionally, a set of questions is subject to voluntary response, including information about subjects such as health, health insurance, housing situation or retirement provisions. The supplementary program is repeated at four-year intervals. Given its broad range of variables and its large sample size, the microcensus forms an appropriate data base to analyse small subpopulations, as for example single migrant and occupational groups. Detailed regional analyses increasingly gain significance in scientific research, for example with regard to life chances of different social groups. Results of regional analyses can e.g. be displayed on the level of regional adjustment shifts - regional units of on average 500,000 inhabitants. Furthermore, the high continuity of the survey design allows for (cross-sectional) analyses over time, by which historical developments can be revealed. Being designed as a rotating panel, the microcensus can as well be used for longitudinal analyses. Finally, the microcensus is also suitable for comparisons in an international context since various subjects are adapted to international standards (e.g. the labour force concept). Characterized by its large sampling fraction, a variety of subjects and temporal continuity, the microcensus constitutes an important data source for the social sciences.
The microcensus is an official statistical survey which is carried out annually since 1957 using a representative sample of one percent of the German population and households. In total, about 380,000 households and 820,000 household members participate in the survey. Being designed as a multi-subject survey, the microcensus provides major statistical information about the population structure (including detailed information about migration backgrounds), the framework of families and households as well as employment, income, education and vocational training. For the majority of questions there is an obligation to provide information. Additionally, a set of questions is subject to voluntary response, including information about subjects such as health, health insurance, housing situation or retirement provisions. The supplementary program is repeated at four-year intervals. Given its broad range of variables and its large sample size, the microcensus forms an appropriate data base to analyse small subpopulations, as for example single migrant and occupational groups. Detailed regional analyses increasingly gain significance in scientific research, for example with regard to life chances of different social groups. Results of regional analyses can e.g. be displayed on the level of regional adjustment shifts - regional units of on average 500,000 inhabitants. Furthermore, the high continuity of the survey design allows for (cross-sectional) analyses over time, by which historical developments can be revealed. Being designed as a rotating panel, the microcensus can as well be used for longitudinal analyses. Finally, the microcensus is also suitable for comparisons in an international context since various subjects are adapted to international standards (e.g. the labour force concept). Characterized by its large sampling fraction, a variety of subjects and temporal continuity, the microcensus constitutes an important data source for the social sciences.
The microcensus is an official statistical survey which is carried out annually since 1957 using a representative sample of one percent of the German population and households. In total, about 380,000 households and 820,000 household members participate in the survey. Being designed as a multi-subject survey, the microcensus provides major statistical information about the population structure (including detailed information about migration backgrounds), the framework of families and households as well as employment, income, education and vocational training. For the majority of questions there is an obligation to provide information. Additionally, a set of questions is subject to voluntary response, including information about subjects such as health, health insurance, housing situation or retirement provisions. The supplementary program is repeated at four-year intervals. Given its broad range of variables and its large sample size, the microcensus forms an appropriate data base to analyse small subpopulations, as for example single migrant and occupational groups. Detailed regional analyses increasingly gain significance in scientific research, for example with regard to life chances of different social groups. Results of regional analyses can e.g. be displayed on the level of regional adjustment shifts - regional units of on average 500,000 inhabitants. Furthermore, the high continuity of the survey design allows for (cross-sectional) analyses over time, by which historical developments can be revealed. Being designed as a rotating panel, the microcensus can as well be used for longitudinal analyses. Finally, the microcensus is also suitable for comparisons in an international context since various subjects are adapted to international standards (e.g. the labour force concept). Characterized by its large sampling fraction, a variety of subjects and temporal continuity, the microcensus constitutes an important data source for the social sciences.
