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12 months |
Total |
Last month |
3 months |
12 months |
Total |
| - CONTROL VARIATES FOR VARIANCE REDUCTION IN INDIRECT INFERENCE: INTEREST RATE MODELS IN CONTINUOUS TIME |
0 |
0 |
0 |
20 |
0 |
1 |
1 |
89 |
| - NON-ADMISSIBILITY AND THE SPECIFICATION OF UNOBSERVED COMPONENTS MODELS |
0 |
0 |
0 |
11 |
0 |
0 |
1 |
57 |
| A Spectral EM Algorithm for Dynamic Factor Models |
0 |
0 |
0 |
43 |
1 |
3 |
5 |
60 |
| A spectral EM algorithm for dynamic factor models |
0 |
0 |
0 |
34 |
0 |
3 |
4 |
78 |
| A spectral EM algorithm for dynamic factor models |
0 |
0 |
1 |
28 |
1 |
3 |
7 |
66 |
| A tobit model with garch errors |
0 |
0 |
0 |
108 |
0 |
0 |
1 |
323 |
| Aggregate Output Measurements: A Common Trend Approach |
0 |
0 |
0 |
2 |
3 |
5 |
5 |
23 |
| Aggregate Output Measurements: A Common Trend Approach |
0 |
0 |
2 |
9 |
0 |
1 |
5 |
24 |
| Aggregate Output Measurements: A Common Trend Approach |
0 |
0 |
0 |
7 |
0 |
3 |
4 |
23 |
| Aggregate Output Measurements: a Common Trend Approach |
0 |
0 |
0 |
26 |
2 |
5 |
6 |
32 |
| Aggregate output measurements: a common trend approach |
0 |
0 |
0 |
10 |
0 |
0 |
4 |
39 |
| Alternative estimators of the covariance matrix in GARCH models |
0 |
0 |
0 |
33 |
1 |
2 |
5 |
188 |
| Analytic Derivatives and the Computation of GARCH Estimates |
0 |
0 |
0 |
0 |
3 |
4 |
8 |
37 |
| Analytic Derivatives and the Computation of Garch Estimates |
0 |
0 |
0 |
5 |
16 |
22 |
24 |
1,270 |
| CONSTRAINED EMM AND INDIRECT INFERENCE ESTIMATION |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
84 |
| Conditional Means of Time Series Processes and Time Series Processes for Conditional Means |
0 |
0 |
0 |
1 |
2 |
3 |
3 |
938 |
| Conditional Means of Time Series Processes and Time Series Processes for Conditional Means |
0 |
0 |
0 |
0 |
1 |
3 |
4 |
35 |
| Conditional heteroskedasticity in nonlinear simultaneous equations |
0 |
0 |
0 |
13 |
1 |
3 |
4 |
89 |
| Conditional means of time series processes and time series processes for conditional means |
0 |
0 |
0 |
26 |
5 |
8 |
8 |
179 |
| Consistent Non-Gaussian Pseudo Maximum Likelihood Estimators |
0 |
0 |
0 |
20 |
0 |
1 |
1 |
41 |
| Consistent non-Gaussian pseudo maximum likelihood estimators |
0 |
0 |
0 |
24 |
0 |
0 |
1 |
29 |
| Consistent non-Gaussian pseudo maximum likelihood estimators |
0 |
0 |
1 |
18 |
0 |
1 |
2 |
62 |
| Consistent non-Gaussian pseudo maximum likelihood estimators |
0 |
0 |
0 |
5 |
1 |
4 |
6 |
38 |
| Constrained EMM and Indirect Inference Estimation |
0 |
0 |
0 |
0 |
2 |
2 |
2 |
414 |
| Constrained EMM and Indirect Inference Estimation. Versión Revisada |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
8 |
| Constrained Indirect Inference Estimation |
0 |
0 |
0 |
99 |
1 |
1 |
1 |
270 |
| Constrained indirect inference estimation |
0 |
0 |
0 |
1 |
0 |
2 |
3 |
14 |
| Control variates for variance reduction in indirect inference: interest rate models in continuous time |
0 |
0 |
0 |
20 |
1 |
2 |
4 |
134 |
| Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions |
0 |
0 |
0 |
54 |
6 |
9 |
9 |
82 |
| Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
22 |
| Dynamic Specification Tests for Dynamic Factor Models |
0 |
0 |
0 |
61 |
0 |
3 |
3 |
129 |
| Dynamic Specification Tests for Static Factor Models |
0 |
0 |
0 |
66 |
4 |
7 |
8 |
249 |
| Dynamic Specification Tests for Static Factor Models |
0 |
0 |
0 |
43 |
1 |
3 |
4 |
111 |
| Dynamic specification tests for dynamic factor models |
0 |
0 |
1 |
12 |
1 |
1 |
2 |
48 |
| Estimating variances and covariances in a censored regression model |
0 |
0 |
0 |
32 |
2 |
3 |
4 |
123 |
| Fast ML Estimation of Dynamic Bifactor Models: An Application to European Inflation |
0 |
0 |
0 |
39 |
1 |
3 |
3 |
102 |
| Fast ML estimation of dynamic bifactor models: an application to European inflation |
0 |
0 |
0 |
10 |
3 |
4 |
6 |
57 |
| Fast ML estimation of dynamic bifactor models: an application to European inflation |
0 |
0 |
0 |
53 |
1 |
5 |
5 |
42 |
| GDP Solera. The Ideal Vintage Mix |
0 |
0 |
0 |
21 |
2 |
7 |
8 |
41 |
| GDP Solera: The Ideal Vintage Mix |
0 |
0 |
0 |
0 |
2 |
5 |
6 |
9 |
| GDP Solera: The Ideal Vintage Mix |
0 |
1 |
1 |
3 |
1 |
2 |
4 |
17 |
| Identification of one independent shock in structural VARs |
1 |
1 |
3 |
8 |
3 |
6 |
15 |
55 |
| Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Model |
0 |
0 |
0 |
2 |
1 |
1 |
3 |
892 |
| Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Models.Versión Revisada |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
8 |
| Identification, estimation and testing of conditionally heteroskedastic factor models |
0 |
0 |
1 |
38 |
1 |
2 |
5 |
120 |
| Indirect Estimation of Conditionally Heteroskedastic Factor Models |
0 |
0 |
0 |
195 |
2 |
6 |
7 |
576 |
| Indirect Estimation of Just-Identified Models with Control Variates |
0 |
0 |
0 |
24 |
0 |
1 |
5 |
162 |
| Indirect estimation of large conditionally heteroskedastic factor models, with an application to the Dow 30 stocks |
0 |
0 |
1 |
3 |
3 |
7 |
9 |
51 |
| LIKELIHOOD-BASED ESTIMATION OF LATENT GENERALISED ARCH STRUCTURES |
0 |
0 |
0 |
34 |
2 |
7 |
8 |
150 |
| Likelihood-Based Estimation of Latent Generalised ARCH Structures |
0 |
0 |
0 |
1 |
1 |
4 |
9 |
31 |
| Likelihood-based estimation of latent generalised ARCH |
0 |
0 |
0 |
0 |
1 |
2 |
4 |
21 |
| Likelihood-based estimation of latent generalised ARCH structures |
0 |
0 |
0 |
159 |
0 |
4 |
5 |
487 |
| Likelihood-based estimation of latent generalised ARCH structures |
0 |
0 |
0 |
52 |
0 |
4 |
5 |
251 |
| Likelihood-based estimation of latent generalised ARCH structures |
0 |
0 |
0 |
109 |
1 |
3 |
3 |
311 |
| Likelihood-based estimation of latent generalised ARCH structures |
0 |
0 |
0 |
2 |
0 |
0 |
3 |
43 |
| Moment tests of independent components |
0 |
0 |
0 |
30 |
3 |
9 |
13 |
59 |
| Multivariate Hermite polynomials and information matrix tests |
0 |
0 |
0 |
2 |
1 |
2 |
4 |
11 |
| Multivariate Hermite polynomials and information matrix tests |
0 |
0 |
1 |
19 |
1 |
2 |
3 |
33 |
| Multivariate Hermite polynomials and information matrix tests |
0 |
0 |
0 |
11 |
2 |
3 |
3 |
34 |
| Neglected Serial Correlation Tests in UCARIMA Models |
0 |
0 |
0 |
38 |
1 |
3 |
5 |
62 |
| New Testing Approaches for Mean-Variance Predictability |
0 |
0 |
0 |
8 |
1 |
1 |
2 |
32 |
| New testing approaches for mean-variance predictability |
0 |
0 |
0 |
55 |
0 |
1 |
6 |
103 |
| New testing approaches for mean-variance predictability |
0 |
0 |
0 |
18 |
1 |
2 |
4 |
44 |
| New testing approaches for mean-variance predictability |
0 |
0 |
0 |
12 |
0 |
2 |
2 |
35 |
| Non-Admissible Decompositions in Unobserved Components Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
11 |
| Non-Admissible Decompositions in Unobserved Components Models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
505 |
| On the Efficiency and Consistency of Likelihood Estimation in Multivariate Conditionally Heteroskedastic Dynamic Regression Models |
0 |
0 |
0 |
49 |
3 |
3 |
7 |
207 |
| On the Validity of the Jarque-Bera Normality Test in Conditionally Heteroskedastic Dynamic Regression Models |
0 |
0 |
0 |
1 |
4 |
5 |
5 |
14 |
| On the efficiency and consistency of likelihood estimation in multivariate conditionally heteroskedastic dynamic regression models |
0 |
0 |
0 |
5 |
0 |
2 |
4 |
47 |
| PML vs minimum χ 2: the comeback |
0 |
0 |
1 |
15 |
1 |
2 |
6 |
19 |
| SHORT-TERM OPTIONS WITH STOCHASTIC VOLATILITY: ESTIMATION AND EMPIRICAL PERFORMANCE |
0 |
0 |
0 |
54 |
1 |
4 |
8 |
160 |
| Sequential Estimation of Shape Parameters in Multivariate Dynamic Models |
0 |
0 |
0 |
56 |
2 |
7 |
8 |
155 |
| Short-term options with stochastic volatility: Estimation and empirical performance |
0 |
0 |
0 |
307 |
0 |
2 |
4 |
864 |
| Specification Tests for Non-Gaussian Maximum Likelihood Estimators |
0 |
0 |
0 |
6 |
0 |
5 |
6 |
22 |
| Specification tests for non-Gaussian maximum likelihood estimators |
0 |
0 |
0 |
10 |
2 |
3 |
6 |
48 |
| Specification tests for non-Gaussian maximum likelihood estimators |
0 |
0 |
0 |
44 |
3 |
4 |
7 |
51 |
| Specification tests for non-Gaussian maximum likelihood estimators |
0 |
0 |
0 |
34 |
0 |
1 |
4 |
25 |
| Specification tests for non-Gaussian structural vector autoregressions |
0 |
0 |
0 |
85 |
2 |
8 |
11 |
75 |
| THE SCORE OF CONDITIONALLY HETEROSKEDASTIC DYNAMIC REGRESSION MODELS WITH STUDENT T INNOVATIONS, AN LM TEST FOR MULTIVARIATE NORMALITY |
0 |
0 |
0 |
18 |
3 |
4 |
5 |
112 |
| Tests for Serial Dependence in Static, Non-Gaussian Factor Models |
1 |
1 |
1 |
51 |
1 |
6 |
6 |
110 |
| Tests for random coefficient variation in vector autoregressive models |
0 |
0 |
0 |
12 |
0 |
2 |
2 |
28 |
| Tests for random coefficient variation in vector autoregressive models |
0 |
0 |
1 |
65 |
1 |
3 |
6 |
48 |
| Tests for random coefficient variation in vector autoregressive models |
0 |
0 |
1 |
6 |
3 |
5 |
6 |
17 |
| The Rise and Fall of the Natural Interest Rate |
0 |
0 |
0 |
33 |
0 |
2 |
2 |
64 |
| The Rise and Fall of the Natural Interest Rate |
0 |
0 |
0 |
109 |
0 |
1 |
2 |
191 |
| The Rise and Fall of the Natural Interest Rate |
0 |
0 |
0 |
113 |
0 |
1 |
9 |
293 |
| The Rise and Fall of the Natural Interest Rate |
0 |
0 |
1 |
93 |
1 |
3 |
9 |
195 |
| The Score of Condionally Heteroskedastic Dynamic Regression Models with Student T Innovations, and an LM Test for Multivariate Normality |
0 |
0 |
0 |
1 |
2 |
5 |
5 |
572 |
| The Score of Conditionally Heteroskedastic Dynamic Regression Models with Student t Innovations, and an LM Test for Multivariate Normality.Versión Revisada |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
8 |
| The information matrix test for Gaussian mixtures |
0 |
0 |
0 |
20 |
1 |
2 |
3 |
35 |
| The information matrix test for Markov switching autoregressive models with covariate-dependent transition probabilities |
1 |
1 |
13 |
13 |
1 |
3 |
27 |
27 |
| The marginal likelihood of Structural Time Series Models, with application to the euro area and US NAIRU |
0 |
0 |
0 |
2 |
2 |
4 |
8 |
35 |
| The rise and fall of the natural interest rate |
0 |
1 |
5 |
95 |
1 |
6 |
22 |
208 |
| Unobserved Components in ARCH Models: An Application to Seasonal Adjustment |
0 |
0 |
0 |
0 |
1 |
2 |
3 |
14 |
| Unobserved Components in ARCH Models: An Application to Seasonal Adjustment |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
382 |
| Total Working Papers |
3 |
5 |
35 |
3,103 |
126 |
305 |
503 |
13,789 |