Journal Article |
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Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Review of International Risk Sharing for Policy Analysis |
0 |
0 |
2 |
13 |
0 |
0 |
5 |
32 |
A fragmented-periodogram approach for clustering big data time series |
0 |
0 |
0 |
5 |
0 |
0 |
3 |
37 |
A new look at oil price pass-through into inflation: evidence from disaggregated European data |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
59 |
A two factor model to combine US inflation forecasts |
0 |
0 |
0 |
52 |
1 |
1 |
2 |
199 |
Automatic tuning of Kalman filters by maximum likelihood methods for wind energy forecasting |
0 |
0 |
2 |
24 |
0 |
1 |
6 |
91 |
Choosing a dynamic common factor as a coincident index |
0 |
1 |
2 |
18 |
1 |
2 |
5 |
48 |
Circulant Singular Spectrum Analysis to Monitor the State of the Economy in Real Time |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
9 |
Common dynamics of nonenergy commodity prices and their relation to uncertainty |
0 |
0 |
1 |
16 |
0 |
0 |
5 |
94 |
Data graduation based on statistical time series methods |
0 |
0 |
0 |
12 |
1 |
1 |
1 |
49 |
Demand Forecast and Elasticities Estimation of Public Transport |
0 |
0 |
0 |
101 |
0 |
0 |
3 |
314 |
Determining the number of factors after stationary univariate transformations |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
40 |
Estimating Non-stationary Common Factors: Implications for Risk Sharing |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
38 |
Extracting Nonlinear Signals from Several Economic Indicators |
0 |
0 |
0 |
33 |
0 |
0 |
0 |
77 |
Factor extraction using Kalman filter and smoothing: This is not just another survey |
1 |
1 |
5 |
23 |
2 |
4 |
18 |
100 |
Forecast combination through dimension reduction techniques |
0 |
0 |
0 |
12 |
1 |
1 |
3 |
57 |
Forecast combination through dimension reduction techniques |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
112 |
Forecasting European GNP Data through Common Factor Models and Other Procedures |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
627 |
Forecasting traffic accidents using disaggregated data |
0 |
0 |
0 |
100 |
0 |
0 |
0 |
231 |
Forecasting with nonstationary dynamic factor models |
0 |
1 |
1 |
117 |
1 |
2 |
6 |
268 |
Global vs Sectoral Factors and the Impact of the Financialization in Commodity Price Changes |
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0 |
0 |
2 |
1 |
2 |
4 |
24 |
Green shoots and double dips in the euro area: A real time measure |
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0 |
1 |
34 |
0 |
0 |
2 |
118 |
Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques |
0 |
0 |
2 |
5 |
0 |
0 |
2 |
19 |
Introduction to nonlinearities, business cycles, and forecasting |
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0 |
0 |
89 |
0 |
0 |
0 |
193 |
Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
122 |
Long-term links between raw materials prices, real exchange rate and relative de-industrialization in a commodity-dependent economy: empirical evidence of “Dutch disease” in Colombia |
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0 |
1 |
43 |
2 |
5 |
9 |
154 |
Markov-switching dynamic factor models in real time |
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0 |
4 |
46 |
1 |
1 |
11 |
165 |
Measuring Intervention Effects on Multiple Time Series Subjected to Linear Restrictions: A Banking Example |
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0 |
0 |
0 |
0 |
0 |
0 |
263 |
Measuring uncertainty and assessing its predictive power in the euro area |
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0 |
1 |
11 |
0 |
0 |
3 |
53 |
Mexico: Combining monthly inflation predictions from surveys |
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0 |
0 |
2 |
0 |
0 |
1 |
16 |
México: la combinación de las predicciones mensuales de inflación mediante encuestas |
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0 |
0 |
0 |
0 |
0 |
0 |
7 |
Seasonality in COVID-19 times |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
27 |
Short-term Forecasting for Empirical Economists: A Survey of the Recently Proposed Algorithms |
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0 |
0 |
63 |
0 |
0 |
0 |
158 |
Some New Results on the Estimation of Structural Budget Balance for Spain |
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0 |
1 |
25 |
1 |
2 |
3 |
102 |
Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
57 |
The Effects of Disaggregation on Forecasting Nonstationary Time Series |
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0 |
0 |
6 |
1 |
1 |
1 |
26 |
The relationship between road traffic accidents and real economic activity in spain: common cycles and health issues |
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0 |
0 |
140 |
0 |
0 |
0 |
708 |
Time series analysis by state space methods: J. Durbin and S.J. Koopman, Oxford Statistical Series 24, 2001, Oxford University Press, ISBN 0-19-852354-8, 254 pages, price: [UK pound]36.00 (hardback) |
0 |
0 |
0 |
963 |
0 |
0 |
3 |
1,837 |
Total Journal Articles |
1 |
3 |
23 |
2,060 |
14 |
24 |
103 |
6,531 |