@article{FaberStrohe1999,
  author    = {Faber, Cathleen and Strohe, Hans Gerhard},
  title     = {Die Messung und Entwicklung der Inflation in Rußland und Georgien},
  year      = {1999},
  language  = {de}
}
@article{RambertStrohe1999,
  author    = {Rambert, Laurence and Strohe, Hans Gerhard},
  title     = {Statistische Darstellung transformationsbedingter Ver{\"a}nderungen der Wirtschafts- und Besch{\"a}ftigungsstruktur in Ostdeutschland},
  year      = {1999},
  language  = {de}
}
@article{RambertStrohe1999,
  author    = {Rambert, Laurence and Strohe, Hans Gerhard},
  title     = {The perspective of new organisation of work with regard on the position of the labour market in the state of Brandenburg : a statistical analysis},
  year      = {1999},
  language  = {en}
}
@book{AchsaniStrohe2000,
  author    = {Achsani, Noer Azam and Strohe, Hans Gerhard},
  title     = {Statistischer {\"U}berblick {\"u}ber die indonesische Wirtschaft},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-37519},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {2000},
  abstract  = {Inhalt: 1. Einfuhrung 2. Die indonesische Wirtschaftsentwicklung von 1971 bis 1998 2.1. Das Bruttoinlandsprodukt (BIP) - 2.1.1. Der Landwirtschaftssektor - 2.1.2. Der Industriesektor - 2.1.3. Bergbau und Steinbruch 2.2. Außenhandel 2.3. Weitere Indikatoren der Wirtschaftsentwicklung 2.4. Probleme - 2.4.1. Die Arbeitslosigkeit. - 2.4.2. Die wirtschaftliche Ungleichkeit - 2.4.3. Der Anstieg der Preise 2.5. Perspektiven in den n{\"a}chsten Jahren 3. Zusammenfassung},
  language  = {de}
}
@book{Strohe1995,
  author    = {Strohe, Hans Gerhard},
  title     = {Dynamic latent variables path models : an alternative PLS estimation},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-29498},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {1995},
  abstract  = {In this paper a partial least squares (PLS) approach to dynamic modelling with latent variables is proposed. Let Y be a matrix of manifest variables and H the matrix of the corresponding latent variables. And let H = BH+ε be a structural PLS model with a coefficient matrix B. Then this model can be made a dynamic one by substituting for B a matrix F = B + CL containing the lag operator L. Then the structural dynamic model H = FH+ε is formally estimated like an ordinary PLS model. In an exploratory way the model can be used for forecasting purposes. The procedure is being programmed in ISP.},
  language  = {en}
}