Arbeitspapier

Analyzing panel data with non-metric dependent variables: Probit models, generalized estimating equations, missing data and absorbing states

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Language: Englisch

Bibliographic citation: Year: 1992 ; Berlin: Deutsches Institut für Wirtschaftsforschung (DIW)

Classification: Wirtschaft

Subject: Mikroökonometrie
Schätztheorie
Theorie

Event: Geistige Schöpfung

(who): Arminger, Gerhard

Event: Veröffentlichung

(who): Deutsches Institut für Wirtschaftsforschung (DIW)
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft

(where): Berlin

(when): 1992

Handle: http://hdl.handle.net/10419/95830

Last update: 10.03.2025, 11:46 AM CET

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Arbeitspapier

Associated

Arminger, Gerhard
Deutsches Institut für Wirtschaftsforschung (DIW)
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft

Time of origin

1992

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Analyzing panel data with non-metric dependent variables: Probit models, generalized estimating equations, missing data and absorbing states

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Other Objects (12)

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Efficient probit estimation with partially missing covariates

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Missing Data in Accelerometry

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The Missing Benchmark Metric: Memory Consumption

Analyzing panel data with non-metric dependent variables : Probit models, generalized estimating equations, missing data and absorbing states

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data.PREP #Python – Data Frames: Analyzing Data

Non-metric pairwise proximity data

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Orometric methods in bounded metric data

The Missing Benchmark Metric: Memory Consumption

Analyzing panel data with non-metric dependent variables : Probit models, generalized estimating equations, missing data and absorbing states

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data.PREP #Python – Data Frames: Analyzing Data

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