@misc{ClassKohlerKrawietz2018,
  author    = {Class, Fabian and Kohler, Ulrich and Krawietz, Marian},
  title     = {The Potsdam Grievance Statistics File},
  series = {Historical Methods: A Journal of Quantitative and Interdisciplinary History},
  journal   = {Historical Methods: A Journal of Quantitative and Interdisciplinary History},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-412843},
  pages     = {24},
  year      = {2018},
  abstract  = {The newly collected "Potsdam Grievance Statistics File" (PGSF) holds data on the number and topics of grievances ("Eingaben") that were addressed to local authorities of the German Democratic Republic (GDR) in the years 1970 to 1989. The PGSF allows quantitative analyses on topics such as participation, quality of life, and value change in the German Democratic Republic. This paper introduces the concepts of the data set and discusses the validity of its contents.},
  language  = {en}
}
@article{PostClassKohler2020,
  author    = {Post, Julia C. and Class, Fabian and Kohler, Ulrich},
  title     = {Unit nonresponse biases in estimates of SARS-CoV-2 prevalence},
  series = {Survey research methods},
  volume    = {14},
  journal   = {Survey research methods},
  number    = {2},
  publisher = {European Survey Research Association},
  address   = {Duisburg},
  issn      = {1864-3361},
  doi       = {10.18148/srm/2020.v14i2.7755},
  pages     = {115 -- 121},
  year      = {2020},
  abstract  = {Since COVID-19 became a pandemic, many studies are being conducted to get a better understanding of the disease itself and its spread. One crucial indicator is the prevalence of SARS-CoV-2 infections. Since this measure is an important foundation for political decisions, its estimate must be reliable and unbiased. This paper presents reasons for biases in prevalence estimates due to unit nonresponse in typical studies. Since it is difficult to avoid bias in situations with mostly unknown nonresponse mechanisms, we propose the maximum amount of bias as one measure to assess the uncertainty due to nonresponse. An interactive web application is presented that calculates the limits of such a conservative unit nonresponse confidence interval (CUNCI).},
  language  = {en}
}
@article{ClassKoehlerKrawietz2018,
  author    = {Class, Fabian and K{\"o}hler, Ulrich and Krawietz, Marian},
  title     = {The Potsdam Grievance Statistics File},
  series = {Historical Methods},
  volume    = {51},
  journal   = {Historical Methods},
  number    = {2},
  publisher = {Routledge, Taylor \& Francis Group},
  address   = {Abingdon},
  issn      = {0161-5440},
  doi       = {10.1080/01615440.2018.1429970},
  pages     = {92 -- 114},
  year      = {2018},
  abstract  = {The newly collected Potsdam Grievance Statistics File (PGSF) holds data on the number and topics of grievances (Eingaben) that were addressed to local authorities of the German Democratic Republic (GDR) in the years 1970 to 1989. The PGSF allows quantitative analyses on topics such as participation, quality of life, and value change in the German Democratic Republic. This paper introduces the concepts of the data set and discusses the validity of its contents.},
  language  = {en}
}
@misc{KrawietzKohlerClassetal.2020,
  author    = {Krawietz, Marian and Kohler, Ulrich and Class, Fabian and Albrecht, Sophia and Feuerstein, Collin},
  title     = {The potsdam grievance statistic File (PGSF)},
  doi       = {10.4232/1.12993},
  year      = {2020},
  abstract  = {Der Potsdam Grievance Statistics File (PGSF) ist eine historische Datensammlung von Beschwerden, sog. Eingaben, die in der DDR von deren B{\"u}rgern eingereicht wurden. Die Eingaben wurden schriftlich oder m{\"u}ndlich gestellt und waren an staatliche Institutionen gerichtet. Der Staat z{\"a}hlte diese Eingaben und kategorisierte sie in Eingabenstatistiken. Der PGSF enth{\"a}lt Eingabenstatistiken des Zeitraums 1970-1989 einer Wahrscheinlichkeitsstichprobe von im Jahr 1990 existierenden Kreisen. Zus{\"a}tzlich finden sich Eingabenstatistiken eines Convenience-Samples von Kreisen aus dem Zeitraum 1970-1989.},
  language  = {de}
}
@misc{AlbrechtClassFeuersteinetal.2020,
  author    = {Albrecht, Sophia and Class, Fabian and Feuerstein, Collin and Kohler, Ulrich and Krawietz, Marian},
  title     = {The Potsdam grievance statistics file (PGSF)},
  doi       = {10.4232/1.13615},
  year      = {2020},
  abstract  = {Der Potsdam Grievance Statistics File (PGSF) ist eine historische Datensammlung von Beschwerden, sog. Eingaben, die in der DDR von deren B{\"u}rgern eingereicht wurden. Die Eingaben wurden schriftlich oder m{\"u}ndlich gestellt und waren an staatliche Institutionen gerichtet. Der Staat z{\"a}hlte diese Eingaben und kategorisierte sie in Eingabenstatistiken. Der PGSF enth{\"a}lt Eingabenstatistiken des Zeitraums 1970-1989 einer Wahrscheinlichkeitsstichprobe von im Jahr 1990 existierenden Kreisen. Zus{\"a}tzlich finden sich Eingabenstatistiken eines Convenience-Samples von Kreisen aus dem Zeitraum 1970-1989.},
  language  = {de}
}
@misc{AlbrechtClassGoebeletal.2020,
  author    = {Albrecht, Sophia and Class, Fabian and Goebel, Jan and Kohler, Ulrich and Krawietz, Marian},
  title     = {Leben in der ehemaligen DDR},
  series = {SOEP Survey Papers},
  journal   = {SOEP Survey Papers},
  publisher = {German Institute for Economic Research (DIW Berlin)},
  address   = {Berlin},
  year      = {2020},
  language  = {de}
}
@misc{KrawietzGoebelAlbrechtetal.2019,
  author    = {Krawietz, Marian and Goebel, Jan and Albrecht, Sophia and Class, Fabian and Kohler, Ulrich},
  title     = {Leben in der ehemaligen DDR},
  publisher = {German Institute for Economic Research (DIW Berlin)},
  address   = {Berlin},
  doi       = {10.5684/soep.ddr18},
  year      = {2019},
  language  = {en}
}
@article{KohlerClassSawert2023,
  author    = {Kohler, Ulrich and Class, Fabian and Sawert, Tim},
  title     = {Control variable selection in applied quantitative sociology},
  series = {European sociological review},
  journal   = {European sociological review},
  number    = {20},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {0266-7215},
  doi       = {10.1093/esr/jcac078},
  pages     = {14},
  year      = {2023},
  abstract  = {A review of all research papers published in the European Sociological Review in 2016 and 2017 (N = 118) shows that only a minority of papers clearly define the parameter of interest and provide sufficient reasoning for the selected control variables of the statistical analysis. Thus, the vast majority of papers does not reach minimal standards for the selection of control variables. Consequently, a majority of papers interpret biased coefficients, or statistics without proper sociological meaning. We postulate that authors and reviewers should be more careful about control variable selection. We propose graphical causal models in the form of directed acyclic graphs as an example for a parsimonious and powerful means to that end.},
  language  = {en}
}