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The Role of the Log Transformation in Forecasting Economic Variables
Luetkepohl, Helmut - 2009
For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...
Persistent link: https://www.econbiz.de/10012764276
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Construction of Composite Business Cycle Indicators in a Sparse Data Environment
Abberger, Klaus - 2011
Business cycle indicators are important instruments for monitoring economic development. When employing indicators one usually relies on a sound statistical database. This paper deals with indicator development in a sparse data situation. Indicator building is merged with temporal...
Persistent link: https://www.econbiz.de/10013120906
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Forecasting Random Walks Under Drift Instability
Pesaran, M. Hashem - 2011
This paper considers forecast averaging when the same model is used but estimation is carried out over different … estimation windows. It develops theoretical results for random walks when their drift and/or volatility are subject to one or … more structural breaks. It is shown that compared to using forecasts based on a single estimation window, averaging over …
Persistent link: https://www.econbiz.de/10012756639
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Cointegration Analysis with Mixed-Frequency Data
Seong, Byeongchan; Ahn, Sung K.; Zadrozny, Peter A. - 2021
maximum likelihood estimation of the parameters in the model, we use an expectation maximization algorithm based on the state …
Persistent link: https://www.econbiz.de/10013317180
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A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil
Baumeister, Christiane - 2016
has implications for the estimation of economic models of energy-intensive durables, for oil price forecasting, and for …
Persistent link: https://www.econbiz.de/10012996209
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The Weekly Structure of US Stock Prices
Caporale, Guglielmo Maria; Gil-Alana, Luis A. - 2021
In this paper we use fractional integration techniques to examine the degree of integration of four US stock market indices, namely the Standard and Poor, Dow Jones, Nasdaq and NYSE, at a daily frequency from January 2005 till December 2009. We analyse the weekly structure of the series and...
Persistent link: https://www.econbiz.de/10013316133
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A Rise By Any Other Name? Sensitivity of Growth Regressions to Data Source
Hanousek, Jan - 2008
Measured rates of growth in real per capita income differ drastically depending on the data source. This phenomenon occurs largely because data sets differ in whether and how they adjust for changes in relative prices across countries. Replication of several recent studies of growth determinants...
Persistent link: https://www.econbiz.de/10012773476
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Measurement Error in Education and Growth Regressions
Portela, Miguel - 2008
The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations...
Persistent link: https://www.econbiz.de/10012774497
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Central Bank Policy Rates : Are They Cointegrated?
Caporale, Guglielmo Maria - 2017
This paper analyses the stochastic properties of and the bilateral linkages between the central bank policy rates of the US, the Eurozone, Australia, Canada, Japan and the UK using fractional integration and cointegration techniques respectively. The univariate analysis suggests a high degree of...
Persistent link: https://www.econbiz.de/10012958879
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Identification and Estimation of the Environmental Kuznets Curve : Pairwise Differencing to Deal with Nonlinearity and Nonstationarity
Sen, Suphi - 2016
We propose an estimation strategy that accounts for two major problems raised in the empirical literature testing for … problems. Second, we apply nonlinear-nonstationary parametric and non-parametric estimation techniques to estimate the pairwise …
Persistent link: https://www.econbiz.de/10012993697