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Forecasting model 10 Prognoseverfahren 10 Theorie 7 Theory 7 Time series analysis 6 Zeitreihenanalyse 6 Economic forecast 3 Regression analysis 3 Regressionsanalyse 3 Wirtschaftsprognose 3 Bayes-Statistik 2 Bayesian inference 2 Correlation 2 Economic indicator 2 Forecast 2 Korrelation 2 Prognose 2 Sampling 2 Statistical distribution 2 Statistische Verteilung 2 Stichprobenerhebung 2 Time-varying parameters 2 Volatility 2 Volatilität 2 Wirtschaftsindikator 2 Aktienindex 1 Ausreißer 1 Benchmarks 1 Bevölkerungsprognose 1 Bias 1 Capital market returns 1 Cointegration 1 Conditional forecasts 1 Conditional quantiles 1 Conditioners 1 Copyright law 1 Correct conditional coverage tests 1 Density forecasting 1 Dependence 1 Digital goods 1
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Undetermined 16
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Article 16
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English 16
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Baltagi, Badi H. 1 Clark, Todd 1 Karlsson, Sune 1 Komunjer, Ivana 1 Lahiri, Kajal 1 Marinovic, Iván 1 McCracken, Michael 1 Melvin, Michael 1 Ng, Serena 1 Ottaviani, Marco 1 Patton, Andrew 1 Prins, John 1 Rossi, Barbara 1 Shand, Duncan 1 Sorensen, Peter 1 Yang, Liu 1
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Handbook of economic forecasting : Volume 2, Part B 16
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ECONIS (ZBW) 16
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Index
In: Handbook of economic forecasting : Volume 2, Part B, (pp. I-XV). 2013
Persistent link: https://www.econbiz.de/10014025221
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Copyright
In: Handbook of economic forecasting : Volume 2, Part B, (pp. iv). 2013
Persistent link: https://www.econbiz.de/10014025225
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Handbook of Economic Forecasting
In: Handbook of economic forecasting : Volume 2, Part B, (pp. iii). 2013
Persistent link: https://www.econbiz.de/10014025226
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Chapter 21. Advances in Forecasting under Instability
Rossi, Barbara - In: Handbook of economic forecasting : Volume 2, Part B, (pp. 1203-1324). 2013
The forecasting literature has identified two important issues: (i) several predictors have substantial and statistically significant predictive content, although only sporadically, and it is unclear whether this predictive content can be exploited reliably; (ii) in-sample predictive content...
Persistent link: https://www.econbiz.de/10014025227
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Chapter 20. Advances in Forecast Evaluation
Clark, Todd; McCracken, Michael - In: Handbook of economic forecasting : Volume 2, Part B, (pp. 1107-1201). 2013
This chapter surveys recent developments in the evaluation of point forecasts. Taking West’s (2006) survey as a starting point, we briefly cover the state of the literature as of the time of West’s writing. We then focus on recent developments, including advancements in the evaluation of...
Persistent link: https://www.econbiz.de/10014025228
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Chapter 19. Forecasting Binary Outcomes
Lahiri, Kajal; Yang, Liu - In: Handbook of economic forecasting : Volume 2, Part B, (pp. 1025-1106). 2013
Binary events are involved in many economic decision problems. In recent years, considerable progress has been made in diverse disciplines in developing models for forecasting binary outcomes. We distinguish between two types of forecasts for binary events that are generally obtained as the...
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Chapter 18. Panel Data Forecasting
Baltagi, Badi H. - In: Handbook of economic forecasting : Volume 2, Part B, (pp. 995-1024). 2013
This chapter reviews the panel data forecasting literature. Starting with simple forecasts based on fixed and random effects panel data models. Next, these forecasts are extended to allow for various ARMA type structure on the disturbances, as well as spatial autoregressive and moving average...
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Chapter 17. Quantile Prediction
Komunjer, Ivana - In: Handbook of economic forecasting : Volume 2, Part B, (pp. 961-994). 2013
This chapter is concerned with the problem of quantile prediction (or forecasting). There are numerous applications in economics and finance where quantiles are of interest. We primarily focus on methods that are relevant for dynamic time series data. The chapter is organized around two key...
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Chapter 16. Copula Methods for Forecasting Multivariate Time Series
Patton, Andrew - In: Handbook of economic forecasting : Volume 2, Part B, (pp. 899-960). 2013
Copula-based models provide a great deal of flexibility in modeling multivariate distributions, allowing the researcher to specify the models for the marginal distributions separately from the dependence structure (copula) that links them to form a joint distribution. In addition to flexibility,...
Persistent link: https://www.econbiz.de/10014025232
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Chapter 15. Forecasting with Bayesian Vector Autoregression
Karlsson, Sune - In: Handbook of economic forecasting : Volume 2, Part B, (pp. 791-897). 2013
This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and special attention is given to the implementation of the...
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