| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Review of Nonfundamentalness and Identification in Structural VAR Models |
0 |
0 |
1 |
96 |
4 |
8 |
11 |
254 |
| A Robust Criterion for Determining the Number of Factors in Approximate Factor Models |
0 |
0 |
0 |
103 |
0 |
6 |
8 |
304 |
| A Robust Criterion for Determining the Number of Static Factors in Approximate Factor Models |
0 |
1 |
1 |
64 |
1 |
6 |
9 |
233 |
| A network analysis of the volatility of high-dimensionalfinancial series |
0 |
0 |
0 |
22 |
1 |
3 |
8 |
89 |
| A review of nonfundamentalness and identification in structural VAR models |
0 |
0 |
0 |
183 |
0 |
3 |
7 |
617 |
| A robust criterion for determining the number of static factors in approximate factor models |
0 |
0 |
1 |
133 |
4 |
6 |
12 |
451 |
| Asymptotic Theory of Principal Component Analysis for High-Dimensional Time Series Data under a Factor Structure |
0 |
1 |
1 |
74 |
3 |
8 |
10 |
40 |
| Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models |
0 |
0 |
0 |
13 |
2 |
3 |
4 |
22 |
| Common Factors, Trends, and Cycles in Large Datasets |
1 |
2 |
4 |
90 |
2 |
10 |
13 |
117 |
| Determining the dimension of factor structures in non-stationary large datasets |
0 |
0 |
0 |
34 |
1 |
3 |
3 |
38 |
| Determining the dimension of factor structures in non-stationary large datasets |
0 |
0 |
2 |
91 |
0 |
4 |
8 |
28 |
| Determining the rank of cointegration with infinite variance |
0 |
0 |
0 |
14 |
2 |
4 |
5 |
33 |
| Disentangling Systematic and Idiosyncratic Dynamics in Panels of Volatility Measures |
0 |
0 |
0 |
72 |
3 |
5 |
7 |
139 |
| Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets |
0 |
0 |
0 |
58 |
2 |
4 |
4 |
174 |
| Do Euro Area Countries Respond Asymmetrically to the Common Monetary Policy? |
0 |
0 |
0 |
4 |
1 |
6 |
6 |
116 |
| Do Euro area countries respond asymmetrically to the common monetary policy? |
0 |
0 |
0 |
21 |
2 |
8 |
8 |
151 |
| Do Intellectual Property Rights Influence Cross-Border Mergers and Acquisitions ? |
0 |
0 |
0 |
65 |
0 |
2 |
2 |
164 |
| Do National Account Statistics Underestimate US Real Output Growth? |
0 |
0 |
0 |
3 |
0 |
2 |
3 |
15 |
| Dynamic Factor Models, Cointegration and Error Correction Mechanisms |
0 |
0 |
0 |
167 |
1 |
4 |
4 |
229 |
| Dynamic Factor Models, Cointegration, and Error Correction Mechanisms |
0 |
0 |
0 |
55 |
2 |
5 |
5 |
121 |
| Dynamic Factor Models: a Genealogy |
1 |
1 |
2 |
9 |
7 |
12 |
17 |
36 |
| Dynamic Factor Models: a Genealogy |
1 |
1 |
1 |
31 |
3 |
4 |
6 |
46 |
| Estimation and forecasting in large datasets with conditionally heteroskedastic dynamic common factors |
0 |
0 |
1 |
88 |
1 |
4 |
6 |
251 |
| Estimation of large approximate dynamic matrix factor models based on the EM algorithm and Kalman filtering |
0 |
2 |
11 |
11 |
6 |
17 |
35 |
35 |
| Factor Network Autoregressions |
2 |
8 |
27 |
214 |
17 |
35 |
75 |
186 |
| Factoring in the micro: a transaction-level dynamic factor approach to the decomposition of export volatility |
0 |
0 |
0 |
39 |
0 |
0 |
2 |
102 |
| Generalized Dynamic Factor Models and Volatilities. Recovering the Market Volatility Shocks |
0 |
0 |
1 |
140 |
2 |
8 |
12 |
174 |
| Generalized Dynamic Factor Models and Volatilities: Consistency, Rates, and Prediction Intervals |
0 |
1 |
1 |
29 |
2 |
5 |
7 |
67 |
| Generalized Dynamic Factor Models and Volatilities: Consistency, rates, and prediction intervals |
0 |
0 |
0 |
3 |
1 |
5 |
6 |
54 |
| Generalized Dynamic Factor Models and Volatilities: Estimation and Forecasting |
0 |
0 |
0 |
163 |
2 |
3 |
4 |
177 |
| Generalized dynamic factor models and volatilities estimation and forecasting |
0 |
0 |
0 |
8 |
2 |
3 |
6 |
38 |
| Generalized dynamic factor models and volatilities: recovering the market volatility shocks |
0 |
0 |
0 |
11 |
0 |
6 |
7 |
63 |
| Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices |
0 |
0 |
0 |
22 |
2 |
3 |
28 |
48 |
| Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models |
0 |
0 |
1 |
32 |
0 |
1 |
4 |
80 |
| Identification of global and local shocks in international financial markets via general dynamic factor models |
0 |
0 |
0 |
43 |
2 |
3 |
3 |
108 |
| Identifying the Community Structure of the International-Trade Multi Network |
1 |
1 |
1 |
99 |
2 |
2 |
3 |
223 |
| Identifying the Independent Sources of Consumption Variation |
0 |
0 |
0 |
24 |
0 |
1 |
1 |
114 |
| Identifying the independent sources of consumption variation |
0 |
0 |
0 |
15 |
1 |
1 |
3 |
32 |
| Immigrants' legal status, permanence in the destination country and the distribution of consumption expenditure |
0 |
0 |
0 |
0 |
3 |
4 |
5 |
5 |
| Immigrant’s legal status, permanence in the destination country and the distribution of consumption expenditure |
0 |
0 |
0 |
31 |
4 |
7 |
8 |
231 |
| Inference in heavy-tailed non-stationary multivariate time series |
0 |
0 |
2 |
80 |
4 |
11 |
25 |
193 |
| Inferential Theory for Generalized Dynamic Factor Models |
0 |
0 |
1 |
78 |
1 |
8 |
13 |
188 |
| Intellectual property rights, imitation, and development. The effect on cross-border mergers and acquisitions |
0 |
0 |
0 |
39 |
1 |
2 |
4 |
50 |
| Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy |
1 |
4 |
10 |
22 |
3 |
13 |
29 |
37 |
| Measuring Euro Area Monetary Policy Transmission in a Structural Dynamic Factor Model |
0 |
0 |
0 |
97 |
3 |
6 |
6 |
235 |
| Measuring the Euro Area Output Gap |
1 |
1 |
6 |
6 |
3 |
6 |
34 |
34 |
| Measuring the Euro Area Output Gap |
0 |
1 |
7 |
7 |
2 |
4 |
9 |
9 |
| Modelling Large Dimensional Datasets with Markov Switching Factor Models |
0 |
0 |
3 |
73 |
3 |
6 |
13 |
49 |
| Multidimensional dynamic factor models |
0 |
0 |
0 |
29 |
0 |
0 |
2 |
16 |
| Multinetwork of international trade: A commodity-specific analysis |
0 |
0 |
0 |
65 |
4 |
6 |
8 |
191 |
| Nets: Network Estimation for Time Series |
1 |
1 |
2 |
579 |
4 |
4 |
12 |
1,303 |
| Nets: Network estimation for time series |
0 |
0 |
0 |
83 |
1 |
5 |
8 |
214 |
| Nets: network estimation for time series |
0 |
0 |
1 |
37 |
2 |
6 |
9 |
96 |
| Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series |
0 |
0 |
1 |
73 |
4 |
7 |
12 |
129 |
| Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series |
0 |
0 |
0 |
54 |
1 |
4 |
7 |
101 |
| Non-Stationary Dynamic Factor Models for Large Datasets |
0 |
0 |
0 |
132 |
1 |
5 |
10 |
225 |
| On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: The case of unknown parameters |
0 |
0 |
0 |
60 |
1 |
3 |
7 |
240 |
| On the Sources of Euro Area Money Demand Stability. A Time-Varying Cointegration Analysis |
0 |
0 |
0 |
133 |
1 |
3 |
4 |
330 |
| On the Stability of Euro Area Money Demand and its Implications for Monetary Policy |
0 |
0 |
0 |
91 |
3 |
5 |
6 |
205 |
| On the distributional properties of household consumption expenditures. The case of Italy |
0 |
0 |
0 |
52 |
2 |
2 |
3 |
214 |
| On the stability of euro area money demand and its implications for monetary policy |
0 |
1 |
1 |
9 |
2 |
6 |
7 |
40 |
| Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm |
0 |
0 |
2 |
64 |
5 |
8 |
15 |
117 |
| Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm |
0 |
0 |
2 |
2 |
2 |
5 |
18 |
20 |
| Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review |
0 |
1 |
6 |
80 |
2 |
10 |
19 |
43 |
| Quasi Maximum Likelihood Estimation of Non-Stationary Large Approximate Dynamic Factor Models |
0 |
0 |
0 |
29 |
1 |
3 |
4 |
70 |
| Sequential testing for structural stability in approximate factor models |
0 |
0 |
0 |
18 |
2 |
7 |
7 |
47 |
| Sequential testing for structural stability in approximate factor models |
0 |
0 |
0 |
49 |
1 |
2 |
5 |
65 |
| Simultaneous multiple change-point and factor analysis for high-dimensional time series |
0 |
0 |
0 |
17 |
3 |
10 |
10 |
49 |
| Spatio-Temporal Patterns of the International Merger and Acquisition Network |
0 |
0 |
0 |
37 |
0 |
2 |
2 |
56 |
| Spatio-temporal patterns of the international merger and acquisition network |
0 |
0 |
0 |
9 |
2 |
2 |
6 |
27 |
| The Canonical Decomposition of Factor Models: Weak Factors are Everywhere |
0 |
0 |
5 |
10 |
0 |
0 |
13 |
29 |
| The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households |
0 |
0 |
0 |
46 |
1 |
2 |
4 |
201 |
| The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households |
0 |
0 |
0 |
22 |
1 |
1 |
2 |
245 |
| The Dynamic, the Static, and the Weak Factor Models and the Analysis of High-Dimensional Time Series |
1 |
1 |
4 |
5 |
3 |
4 |
16 |
28 |
| The Dynamic, the Static, and the Weak: Factor models and the analysis of high-dimensional time series |
0 |
0 |
2 |
19 |
3 |
9 |
17 |
27 |
| The Euro Area has a growth problem |
0 |
0 |
6 |
6 |
1 |
2 |
10 |
10 |
| The Multi-Network of International Trade: A Commodity-Specific Analysis |
0 |
0 |
1 |
88 |
2 |
3 |
4 |
168 |
| The Rank of a System of Engel Curves. How Many Common Factors? |
0 |
0 |
0 |
13 |
1 |
4 |
4 |
70 |
| The distribution of households consumption-expenditure budget shares |
0 |
0 |
0 |
157 |
2 |
2 |
5 |
831 |
| Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness |
0 |
0 |
1 |
78 |
1 |
4 |
16 |
173 |
| Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness |
0 |
0 |
0 |
10 |
0 |
3 |
9 |
48 |
| Time-varying general dynamic factor models and the measurement of financial connectedness |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
33 |
| Total Working Papers |
10 |
28 |
119 |
4,932 |
167 |
421 |
791 |
11,861 |
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