| Journal Article |
File Downloads |
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 |
0 |
13 |
0 |
4 |
11 |
43 |
| A fragmented-periodogram approach for clustering big data time series |
0 |
0 |
0 |
5 |
0 |
5 |
12 |
49 |
| A new look at oil price pass-through into inflation: evidence from disaggregated European data |
0 |
0 |
0 |
13 |
1 |
5 |
12 |
72 |
| A two factor model to combine US inflation forecasts |
0 |
0 |
0 |
52 |
0 |
1 |
3 |
202 |
| Automatic tuning of Kalman filters by maximum likelihood methods for wind energy forecasting |
0 |
0 |
2 |
26 |
2 |
5 |
11 |
102 |
| Choosing a dynamic common factor as a coincident index |
0 |
0 |
3 |
22 |
0 |
1 |
11 |
61 |
| Circulant Singular Spectrum Analysis to Monitor the State of the Economy in Real Time |
0 |
0 |
1 |
2 |
0 |
4 |
10 |
19 |
| Common dynamics of nonenergy commodity prices and their relation to uncertainty |
0 |
0 |
0 |
16 |
0 |
1 |
7 |
101 |
| Data graduation based on statistical time series methods |
0 |
0 |
0 |
12 |
0 |
3 |
9 |
58 |
| Demand Forecast and Elasticities Estimation of Public Transport |
0 |
0 |
1 |
102 |
1 |
8 |
12 |
327 |
| Determining the number of factors after stationary univariate transformations |
0 |
0 |
0 |
7 |
0 |
4 |
27 |
67 |
| Dynamic factor models: Does the specification matter? |
0 |
0 |
4 |
10 |
1 |
5 |
29 |
49 |
| Economic activity and $$\hbox {CO}_2$$ CO 2 emissions in Spain |
0 |
0 |
0 |
0 |
1 |
5 |
19 |
19 |
| Estimating Non-stationary Common Factors: Implications for Risk Sharing |
0 |
0 |
0 |
12 |
0 |
3 |
12 |
51 |
| Extracting Nonlinear Signals from Several Economic Indicators |
0 |
0 |
0 |
33 |
0 |
1 |
11 |
88 |
| Factor Extraction in Dynamic Factor Models: Kalman Filter Versus Principal Components |
0 |
1 |
18 |
111 |
2 |
17 |
65 |
211 |
| Factor extraction using Kalman filter and smoothing: This is not just another survey |
0 |
0 |
1 |
24 |
2 |
15 |
34 |
135 |
| Forecast combination through dimension reduction techniques |
0 |
0 |
0 |
12 |
0 |
6 |
13 |
71 |
| Forecast combination through dimension reduction techniques |
0 |
0 |
1 |
27 |
0 |
6 |
16 |
129 |
| Forecasting European GNP Data through Common Factor Models and Other Procedures |
0 |
0 |
0 |
0 |
0 |
1 |
7 |
634 |
| Forecasting traffic accidents using disaggregated data |
0 |
0 |
0 |
100 |
0 |
2 |
4 |
235 |
| Forecasting with nonstationary dynamic factor models |
0 |
0 |
3 |
120 |
1 |
5 |
17 |
285 |
| Global vs Sectoral Factors and the Impact of the Financialization in Commodity Price Changes |
0 |
0 |
0 |
2 |
0 |
3 |
15 |
39 |
| Green shoots and double dips in the euro area: A real time measure |
0 |
0 |
0 |
34 |
2 |
8 |
17 |
135 |
| Ignoring cross-correlated idiosyncratic components when extracting factors in dynamic factor models |
0 |
0 |
0 |
1 |
2 |
3 |
8 |
11 |
| Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques |
0 |
0 |
1 |
6 |
1 |
3 |
12 |
31 |
| Introduction to nonlinearities, business cycles, and forecasting |
0 |
0 |
0 |
89 |
0 |
1 |
2 |
195 |
| Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models |
0 |
0 |
0 |
28 |
0 |
2 |
8 |
130 |
| 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 |
0 |
0 |
2 |
46 |
1 |
11 |
26 |
182 |
| Markov-switching dynamic factor models in real time |
1 |
1 |
2 |
49 |
3 |
9 |
21 |
187 |
| Measuring Intervention Effects on Multiple Time Series Subjected to Linear Restrictions: A Banking Example |
0 |
0 |
0 |
0 |
1 |
5 |
9 |
272 |
| Measuring uncertainty and assessing its predictive power in the euro area |
0 |
0 |
0 |
11 |
1 |
2 |
13 |
67 |
| Mexico: Combining monthly inflation predictions from surveys |
0 |
0 |
0 |
2 |
2 |
6 |
16 |
32 |
| México: la combinación de las predicciones mensuales de inflación mediante encuestas |
0 |
0 |
0 |
0 |
0 |
3 |
7 |
15 |
| Risk sharing channels in OECD countries: A heterogeneous panel VAR approach |
0 |
0 |
1 |
13 |
0 |
4 |
16 |
52 |
| Seasonality in COVID-19 times |
0 |
0 |
0 |
10 |
0 |
1 |
8 |
36 |
| Short-term Forecasting for Empirical Economists: A Survey of the Recently Proposed Algorithms |
0 |
0 |
0 |
63 |
0 |
2 |
16 |
174 |
| Some New Results on the Estimation of Structural Budget Balance for Spain |
0 |
0 |
0 |
25 |
0 |
3 |
8 |
110 |
| Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting |
0 |
0 |
0 |
10 |
0 |
2 |
13 |
72 |
| The Effects of Disaggregation on Forecasting Nonstationary Time Series |
0 |
0 |
0 |
6 |
0 |
2 |
6 |
32 |
| The relationship between road traffic accidents and real economic activity in spain: common cycles and health issues |
0 |
0 |
0 |
140 |
0 |
0 |
5 |
714 |
| 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) |
1 |
1 |
3 |
967 |
2 |
3 |
9 |
1,848 |
| Total Journal Articles |
2 |
3 |
43 |
2,221 |
26 |
180 |
587 |
7,342 |
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