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Forecasting aggregates with disaggregate variables : does boosting help to select the most informative predictors? ; conference paper

Zeng, Jing - 2014

Including disaggregate variables or using information extracted from the disaggregate variables into a forecasting model for an eco- nomic aggregate may improve the forecasting accuracy. In this paper we suggest to use boosting as a method to select the disaggregate variables which are most...

Persistent link: https://www.econbiz.de/10010482520

Qualität bei zusammengeführten Daten : Befragungsdaten, administrative Daten, neue digitale Daten: miteinander besser?

Klumpe, Bettina; Zwick, Markus - Qualität bei zusammengeführten Daten - … - 2020

Persistent link: https://www.econbiz.de/10012234338

Arrovian aggregation of MBA preferences : an impossibility result ; conference paper

Herzberg, Frederik - 2013

problem of Arrovian aggregation of MBA preferences - and prove dictatorial impossibility results for both finite and infinite …

Persistent link: https://www.econbiz.de/10010338890

Liquidity in the liquidity crisis : evidence from Divisia monetary aggregates in Germany and the European crisis countries ; conference paper

Shagi, Makram el-; Kelly, Logan - 2013 - Preprint submitted to Economics Letters February 19, 2013

While there has been some debate over the usefulness of monetary aggregates, there has been surprisingly little discussion of the actual implications for liquidity. In this paper, we provide an approximation of the liquidity development in six Euro area countries from 2003 to 2012. We show that...

Persistent link: https://www.econbiz.de/10010339318

Aggregation, efficiency and measurement

Färe, Rolf (contributor); Grosskopf, Shawna (contributor); … - 2007

Persistent link: https://www.econbiz.de/10003357520

Special issue on disaggregate data and macroeconomic models

Dupor, Bill (ed.); Faria-e-Castro, Miguel (ed.) - Fed St. Louis-JEDC-SCG-SNB-UniBern Conference … - 2020

Persistent link: https://www.econbiz.de/10012502609

Aggregate growth : what have we learned from microeconomic evidence? By John Haltiwanger

Haltiwanger, John C. - 2000

Persistent link: https://www.econbiz.de/10013426901

Aggregate growth: What have we learned from microeconomic evidence?

Haltiwanger, John C. - 2000

Persistent link: https://www.econbiz.de/10013427069

Data envelopment analysis in the service sector

Westermann, Georg (ed.) - 1999

Persistent link: https://www.econbiz.de/10001395336

The StoNED age : the departure into a new era of efficiency analysis? : a MC study comparing StoNED and the "Oldies" (SFA and DEA) conference paper

Andor, Mark Andreas; Hesse, Frederik - 2013

with the two "oldies" DEA and SFA and extends the initial Monte Carlo simulation of Kuosmanen and Kortelainen (2010) in …. Nowadays, the most prominent representatives are nonparametric data envelopment analysis (DEA) and parametric stochastic … frontier analysis (SFA), both introduced in the late 1970s. Researchers have been attempting to develop a method which combines …

Persistent link: https://www.econbiz.de/10010341110