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  • Search: subject:"Two-step regression"
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Year of publication
Subject
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Bayesian analysis 4 Regression analysis 4 Regressionsanalyse 4 two-step regression 4 Bayes-Statistik 2 Bayesian inference 2 COVID-19 2 Coronavirus 2 Covid-19 2 Estimation theory 2 Forecast 2 Forecasting 2 Forecasting model 2 Impact assessment 2 National income 2 Nationaleinkommen 2 Prognose 2 Prognoseverfahren 2 Schätztheorie 2 Two-step regression 2 Wirkungsanalyse 2 forecasting 2 Accounting policy 1 Accrual 1 Autoregression quantile 1 Bias 1 Bilanzpolitik 1 Credit risk 1 Estimation 1 Kreditrisiko 1 R-estimator 1 Regression quantile 1 Regression rank scores 1 Rückstellung 1 Schätzung 1 Statistical distribution 1 Statistische Verteilung 1 Systematischer Fehler 1 Two-step regression quantile 1 bimdal distribution estimation 1
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Online availability
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Free 4 Undetermined 3 CC license 1
Type of publication
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Article 5 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 2 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1
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Language
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English 6 Undetermined 1
Author
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Kaufmann, Sylvia 4 Chen, Wei 1 Hribar, Paul 1 Jurečková, Jana 1 Li, Phillip 1 Melessa, Samuel J. 1 Picek, Jan 1 Qi, Min 1 Zhang, Xiaofei 1 Zhao, Xinlei 1
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Published in...
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Journal of financial reporting : a publication of the Financial Accounting and Reporting Section of the American Accounting Association 1 Statistics & Probability Letters 1 Swiss Journal of Economics and Statistics 1 Swiss journal of economics and statistics 1 The journal of credit risk : published quarterly by Incisive Media 1 Working Paper 1 Working papers / Studienzentrum Gerzensee 1
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Source
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ECONIS (ZBW) 4 EconStor 2 RePEc 1
Showing 1 - 7 of 7
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COVID-19 outbreak and beyond: The information content of registered short-time workers for GDP now- and forecasting
Kaufmann, Sylvia - In: Swiss Journal of Economics and Statistics 156 (2020) 1, pp. 1-12
The number of short-time workers from January to April 2020 is used to now- and forecast quarterly GDP growth. We purge the monthly log level series from the systematic component to extract unexpected changes or shocks to log short-time workers. These monthly shocks are included in a univariate...
Persistent link: https://www.econbiz.de/10013205796
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Covid-19 outbreak and beyond: The information content of registered short-time workers for GDP now- and forecasting
Kaufmann, Sylvia - 2020
The number of employees historically filed and registered from January to April 2020 for short-time compensation is used to obtain a nowcast for GDP growth in the first quarter and an outlook until the third quarter 2021. We purge the monthly log level series from the systematic component to...
Persistent link: https://www.econbiz.de/10012671248
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Cover Image
COVID-19 outbreak and beyond : the information content of registered short-time workers for GDP now- and forecasting
Kaufmann, Sylvia - In: Swiss journal of economics and statistics 156 (2020) 1/12, pp. 1-12
The number of short-time workers from January to April 2020 is used to now- and forecast quarterly GDP growth. We purge the monthly log level series from the systematic component to extract unexpected changes or shocks to log short-time workers. These monthly shocks are included in a univariate...
Persistent link: https://www.econbiz.de/10012392543
Saved in:
Cover Image
Covid-19 outbreak and beyond : the information content of registered short-time workers for GDP now- and forecasting
Kaufmann, Sylvia - 2020
The number of employees historically filed and registered from January to April 2020 for short-time compensation is used to obtain a nowcast for GDP growth in the first quarter and an outlook until the third quarter 2021. We purge the monthly log level series from the systematic component to...
Persistent link: https://www.econbiz.de/10012224722
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Cover Image
On the use of residuals as dependent variables
Chen, Wei; Hribar, Paul; Melessa, Samuel J. - In: Journal of financial reporting : a publication of the … 7 (2022) 1, pp. 68-83
Persistent link: https://www.econbiz.de/10013417053
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Further investigation of parametric loss given default modeling
Li, Phillip; Qi, Min; Zhang, Xiaofei; Zhao, Xinlei - In: The journal of credit risk : published quarterly by … 12 (2016) 4, pp. 17-47
Persistent link: https://www.econbiz.de/10011645433
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Regression quantiles and their two-step modifications
Jurečková, Jana; Picek, Jan - In: Statistics & Probability Letters 82 (2012) 6, pp. 1111-1115
Regression quantiles and their two-step modifications based on R-estimation of slope components of regression parameter are asymptotically equivalent and are very close numerically even for small sample sizes; their extreme versions even exactly coincide. Regarding that, we study their relations...
Persistent link: https://www.econbiz.de/10011040002
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