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Endogenous fluctuations in the demand for education
Neugart, Michael; Tuinstra, Jan - In: Journal of evolutionary economics : JEE 13 (2003) 1, pp. 29-51
Persistent link: https://www.econbiz.de/10001747104
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Endogenous fluctuations in the demand for education
Neugart, Michael; Tuinstra, Jan - 2001
Persistent link: https://www.econbiz.de/10001653645
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Endogenous Fluctuations in the Demand for Education
Neugart, Michael; Tuinstra, Jan - 2010
belief. Costly access to information on the returns to education induces agents to use potentially destabilizing backward …, agents will choose a more sophisticated prediction rule that dampens the cycle. Access to information becomes key for stable …
Persistent link: https://www.econbiz.de/10014031777
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Forecasting unemployment with internet search data : does it help to improve predictions when job destruction is skyrocketing?
Vicente, María Rosalia; López, Ana Jesús; Pérez, … - In: Technological forecasting & social change : an … 92 (2015), pp. 132-139
Persistent link: https://www.econbiz.de/10011389608
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Predicting Initial Claims for Unemployment Benefits
Choi, Hyunyoung - 2012
One of the strongest leading indicators of economic activity is the number of people who file for unemployment benefits. Macroeconomists Robert Gordon and James Hamilton have recently examined the historical evidence. According to Hamilton's summary: "... in each of the last six recessions, the...
Persistent link: https://www.econbiz.de/10013115805
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In the Search of a Univariate Benchmark Model to Forecast the Unemployment Rate
Contreras, Javier - 2012
In this work the precision and stability of the forecasts of Chile's unemployment rates are analyzed. Said models were obtained by a family of SARIMA (Seasonal Autoregressive Integrated Moving Average) models, between February 1986 and February 2010. The SARIMA projections are compared with the...
Persistent link: https://www.econbiz.de/10013103283
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Forecasting the Absolute Volume of Job Search Activities using Auto-regressive Neural Networks and Extreme Learning Machines Combined
Drago, Carlo - 2023
The identification of the business cycle turn points is a challenging task. In this context, the evolution of new data typologies as internet searches data strongly impacted the construction of approaches practical to forecast macroeconomic variables. This work emphasizes the significance of...
Persistent link: https://www.econbiz.de/10014259895
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Predicting re-employment : machine learning versus assessments by unemployed workers and by their caseworkers
Berg, Gerard J. van den; Kunaschk, Max; Lang, Julia; … - 2023
policy mix of unemployment insurance agencies. We analyze unique data on three sources of information on the probability of …-reported and caseworker assessments sometimes contain information not captured by the machine learning algorithm. …
Persistent link: https://www.econbiz.de/10014338662
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Predicting re-employment : machine learning versus assessments by unemployed workers and by their caseworkers
Berg, Gerard J. van den; Kunaschk, Max; Lang, Julia; … - 2023
We analyze unique data on three sources of information on the probability of re-employment within 6 months (RE6), for …) assessments sometimes contain information not captured by the machine learning algorithm. …
Persistent link: https://www.econbiz.de/10014438589
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Predicting re-employment: machine learning versus assessments by unemployed workers and by their caseworkers
Berg, Gerard J. van den; Kunaschk, Max; Lang, Julia; … - 2023
Persistent link: https://www.econbiz.de/10014429065