| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Brief History of Seasonal Adjustment Methods and Software Tools |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
15 |
| A World Trade Leading Index (WTLI) |
0 |
0 |
1 |
102 |
0 |
0 |
2 |
297 |
| A factor-augmented probit model for business cycle analysis |
0 |
1 |
1 |
175 |
0 |
1 |
3 |
268 |
| A factor-augmented probit model for business cycle analysis |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
3 |
| A new monthly chronology of the US industrial cycles in the prewar economy |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
| A new monthly chronology of the US industrial cycles in the prewar economy |
0 |
0 |
0 |
77 |
1 |
1 |
3 |
215 |
| A new monthly chronology of the US industrial cycles in the prewar economy |
0 |
0 |
0 |
46 |
0 |
1 |
4 |
103 |
| A new monthly chronology of the US industrial cycles in the prewar economy |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
34 |
| A non-parametric method to nowcast the Euro Area IPI |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
59 |
| A non-parametric method to nowcast the Euro Area IPI |
0 |
0 |
0 |
57 |
0 |
1 |
1 |
169 |
| A real-time recession indicator for the Euro area |
0 |
0 |
0 |
122 |
0 |
1 |
2 |
386 |
| A turning point chronology for the Euro-zone |
0 |
0 |
0 |
137 |
0 |
1 |
4 |
354 |
| A world trade leading index (WLTI) |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
46 |
| Analyse d'intervention et prévisions. problématique et application à des données de la RATP |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
22 |
| Analyse d’Intervention et Prévisions. Problématique et Application à des données de la RATP |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
65 |
| Analyser les séries chronologiques avec S-Plus: une approche paramétrique |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
22 |
| Analyser les séries chronologiques avec S-Plus: une approche paramétrique |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
23 |
| Are disaggregate data useful for factor analysis in forecasting French GDP? |
0 |
1 |
2 |
270 |
1 |
4 |
11 |
878 |
| Business Cycle Analysis with Multivariate Markov Switching Models |
0 |
1 |
1 |
477 |
1 |
2 |
7 |
1,052 |
| Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model |
2 |
2 |
14 |
95 |
3 |
6 |
28 |
234 |
| Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model |
0 |
0 |
1 |
12 |
0 |
1 |
5 |
34 |
| Business cycle dynamics after the Great Recession: An extended Markov-Switching Dynamic Factor Model |
0 |
0 |
2 |
480 |
1 |
2 |
9 |
791 |
| Business surveys modelling with Seasonal-Cyclical Long Memory models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
| Business surveys modelling with Seasonal-Cyclical Long Memory models |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
52 |
| Business surveys modelling with Seasonal-Cyclical Long Memory models |
0 |
0 |
0 |
18 |
0 |
0 |
3 |
113 |
| Business surveys modelling with Seasonal-Cyclical Long Memory models |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
37 |
| Business surveys modelling with seasonal-cyclical long memory models |
0 |
0 |
0 |
52 |
0 |
0 |
0 |
178 |
| Can Fiscal Budget-Neutral Reforms Stimulate Growth? Model-Based Results |
0 |
0 |
3 |
191 |
0 |
1 |
9 |
667 |
| Capturing international influences in U.S. monetary policy through a NLP approach |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
| Capturing international influences in U.S. monetary policy through a NLP approach |
1 |
6 |
25 |
25 |
6 |
14 |
51 |
51 |
| Comments on: Examining the quality of early GDP component estimates |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
26 |
| Commodity Price Uncertainty Comovement: Does It Matter for Global Economic Growth? |
1 |
1 |
2 |
17 |
1 |
1 |
9 |
52 |
| Commodity currencies revisited: The role of global commodity price uncertainty |
0 |
0 |
5 |
101 |
1 |
4 |
17 |
198 |
| Commodity currencies revisited: The role of global commodity price uncertainty |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
5 |
| Commodity price uncertainty comovement: Does it matter for global economic growth? |
1 |
2 |
2 |
22 |
2 |
4 |
6 |
81 |
| Common Factors of Commodity Prices |
0 |
0 |
7 |
216 |
0 |
3 |
28 |
832 |
| Common Factors of Commodity Prices |
0 |
0 |
1 |
43 |
0 |
0 |
4 |
135 |
| Common business and housing market cycles in the Euro area from a multivariate decomposition |
0 |
0 |
0 |
188 |
0 |
1 |
5 |
437 |
| Common factors of commodity prices |
0 |
0 |
1 |
74 |
0 |
1 |
11 |
213 |
| Comparing the shapes of recoveries: France, the UK and the US |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
57 |
| Comparison of parameter estimation methods in cyclical long memory time series |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
33 |
| Cyclical relationships between GDP and housing market in France: Facts and factors at play |
0 |
0 |
4 |
497 |
1 |
1 |
10 |
2,108 |
| Data Preselection in Machine Learning Methods: An Application to Macroeconomic Nowcasting with Google Search Data |
0 |
0 |
0 |
0 |
2 |
3 |
17 |
36 |
| Dating business cycles in France: A reference chronology |
0 |
0 |
0 |
18 |
0 |
0 |
6 |
52 |
| Dating business cycles in France: A reference chronology |
0 |
0 |
0 |
20 |
0 |
1 |
4 |
23 |
| Dating business cycles in France: A reference chronology |
0 |
0 |
2 |
3 |
0 |
1 |
6 |
11 |
| Dating business cycles in France: A reference chronology |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
| Dating business cycles in France: A reference chronology |
1 |
2 |
4 |
64 |
1 |
4 |
11 |
204 |
| Dating business cycles in France: a reference chronology |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
10 |
| Dating business cycles in France: a reference chronology |
0 |
0 |
0 |
22 |
0 |
0 |
2 |
11 |
| Dating business cycles in France: a reference chronology |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
| Dating business cycles in France: a reference chronology |
0 |
0 |
8 |
8 |
0 |
0 |
8 |
8 |
| Dating business cycles in France: a reference chronology |
0 |
0 |
0 |
12 |
0 |
1 |
4 |
25 |
| Dating business cycles in France:A reference chronology |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
10 |
| Dating business cycles in France:A reference chronology |
0 |
0 |
0 |
20 |
1 |
1 |
6 |
58 |
| Detection of the Industrial Business Cycle using SETAR models |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
89 |
| Detection of the industrial business cycle using SETAR models |
0 |
0 |
0 |
98 |
0 |
1 |
2 |
290 |
| Deux indicateurs probabilistes de retournement cyclique pour l conomie fran aise |
0 |
0 |
0 |
74 |
0 |
1 |
3 |
264 |
| Does the Great Recession imply the end of the Great Moderation? International evidence |
0 |
0 |
0 |
5 |
0 |
1 |
2 |
29 |
| Does the Great Recession imply the end of the Great Moderation? International evidence |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
245 |
| Does the Great Recession imply the end of the Great Moderation? International evidence |
0 |
0 |
0 |
69 |
0 |
0 |
2 |
180 |
| Does the Great Recession imply the end of the Great Moderation? International evidence |
0 |
0 |
1 |
1 |
0 |
1 |
3 |
4 |
| Dynamic Effects of Weather Shocks on Production in European Economies |
0 |
0 |
19 |
47 |
2 |
4 |
48 |
89 |
| Dynamic Factor Models: A review of the Literature |
0 |
0 |
3 |
682 |
0 |
3 |
8 |
1,275 |
| Dynamic factor models: A review of the literature |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
69 |
| Estimation and Applications of Gegenbauer Processes |
0 |
0 |
0 |
49 |
0 |
0 |
1 |
109 |
| Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro |
0 |
0 |
0 |
113 |
0 |
1 |
2 |
245 |
| Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area |
0 |
0 |
0 |
68 |
0 |
0 |
0 |
120 |
| Evaluation of Regime Switching Models for Real-Time Business Cycle Analysis of the Euro Area |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
4 |
| Evaluation of Regime Switching Models for Real-Time Business Cycle Analysis of the Euro Area |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
48 |
| Explaining US employment growth after the Great Recession: the role of output-employment non-linearities |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
45 |
| Explaining the Recent Slump in Investment: the Role of Expected Demand and Uncertainty |
1 |
1 |
5 |
396 |
6 |
7 |
38 |
1,084 |
| Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession |
0 |
1 |
3 |
517 |
1 |
4 |
10 |
1,719 |
| Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
36 |
| Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
4 |
| Forecasting Euro-area recessions using time-varying binary response models for financial |
0 |
0 |
0 |
239 |
0 |
1 |
5 |
581 |
| Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient? |
0 |
0 |
1 |
1 |
0 |
0 |
2 |
2 |
| Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient? |
0 |
0 |
0 |
111 |
0 |
0 |
2 |
235 |
| Forecasting business cycles |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
22 |
| Forecasting business cycles |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
33 |
| Forecasting financial time series with generalized long memory processes |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
| Forecasting growth during the Great Recession: is financial volatility the missing ingredient? |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
26 |
| Forecasting growth during the Great Recession: is financial volatility the missing ingredient? |
0 |
0 |
0 |
131 |
0 |
1 |
3 |
260 |
| Forecasting with k-factor Gegenbauer Processes: Theory and Applications |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
35 |
| Fractional and seasonal filtering |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
| Fractional and seasonal filtering |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
6 |
| Fractional and seasonal filtering |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
32 |
| Fractional seasonality: Models and Application to Economic Activity in the Euro Area |
0 |
0 |
0 |
19 |
0 |
0 |
1 |
86 |
| GDP nowcasting with ragged-edge data: A semi-parametric modelling |
0 |
0 |
0 |
101 |
0 |
0 |
3 |
277 |
| GDP nowcasting with ragged-edge data: A semi-parametric modelling |
0 |
0 |
0 |
60 |
1 |
1 |
1 |
131 |
| GDP nowcasting with ragged-edge data: a semi-parametric modeling |
0 |
0 |
0 |
2 |
0 |
1 |
3 |
14 |
| GDP nowcasting with ragged-edge data: a semi-parametric modeling |
0 |
0 |
0 |
47 |
0 |
0 |
1 |
99 |
| Global Financial interconnectedness: A non-linear assessment of the uncertainty channel |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Global financial interconnectedness: A Non-Linear Assessment of the Uncertainty Channel |
0 |
0 |
2 |
36 |
0 |
0 |
7 |
143 |
| Global financial interconnectedness: A non-linear assessment of the uncertainty channel |
0 |
0 |
2 |
11 |
0 |
0 |
3 |
46 |
| Global financial interconnectedness: a non-linear assessment of the uncertainty channel |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
18 |
| High-Frequency Monitoring of Growth-at-Risk |
0 |
0 |
6 |
160 |
0 |
4 |
26 |
545 |
| High-frequency monitoring of growth at risk |
0 |
0 |
0 |
0 |
1 |
1 |
6 |
35 |
| Housing Cycles In The Major Euro Area Countries |
0 |
0 |
0 |
89 |
0 |
1 |
2 |
283 |
| Housing cycles in the major euro area countries |
0 |
0 |
0 |
176 |
0 |
0 |
3 |
595 |
| Identification of slowdowns and accelerations for the euro area economy |
0 |
0 |
1 |
82 |
0 |
0 |
3 |
269 |
| Identification of slowdowns and accelerations for the euro area economy |
0 |
0 |
0 |
233 |
0 |
2 |
7 |
696 |
| Impact of uncertainty shocks on the global economy |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
98 |
| Impact of uncertainty shocks on the global economy |
0 |
0 |
0 |
0 |
1 |
1 |
6 |
115 |
| International Macroeconomics in the wake of the Global Financial Crisis |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
12 |
| Les cycles économiques de la France: une datation de référence |
0 |
0 |
0 |
16 |
0 |
1 |
5 |
22 |
| Les cycles économiques de la France: une datation de référence |
1 |
1 |
3 |
40 |
1 |
2 |
6 |
84 |
| Les cycles économiques de la France: une datation de référence |
0 |
0 |
0 |
21 |
0 |
0 |
3 |
46 |
| Les cycles économiques de la France: une datation de référence |
0 |
0 |
0 |
40 |
0 |
2 |
10 |
96 |
| Les cycles économiques de la France: une datation de référence |
0 |
0 |
1 |
1 |
0 |
0 |
3 |
4 |
| Macro-financial linkages and business cycles: A factor-probit approach |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
13 |
| Macroeconomic forecasting during the Great Recession: The return of non-linearity? |
0 |
0 |
0 |
58 |
0 |
0 |
0 |
145 |
| Macroeconomic forecasting during the Great Recession: The return of non-linearity? |
0 |
0 |
0 |
178 |
1 |
2 |
5 |
458 |
| Macroeconomic forecasting during the Great Recession: the return of non-linearity? |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
32 |
| Marché du travail et politique monétaire aux Etats-Unis: débats actuels et enjeux |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
24 |
| Measuring Exchange Rate Risks During Periods of Uncertainty |
0 |
0 |
3 |
57 |
1 |
2 |
10 |
130 |
| Monthly GDP forecasting using bridge models: Comparison from the supply and demand sides for the French economy |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
35 |
| Monthly forecasting of French GDP: A revised version of the OPTIM model |
0 |
0 |
0 |
249 |
0 |
1 |
7 |
926 |
| Méthodes de prévision en finance |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
38 |
| Nowcasting global economic growth: A factor-augmented mixed-frequency approach |
2 |
4 |
6 |
285 |
2 |
5 |
19 |
667 |
| Nowcasting global economic growth: A factor-augmented mixed-frequency approach |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
68 |
| Post-Recession US Employment through the Lens of a Non-Linear Okun's Law |
0 |
0 |
0 |
54 |
0 |
0 |
1 |
167 |
| Post-recession US Employment through the Lens of a Non-linear Okun's law |
0 |
0 |
0 |
121 |
1 |
1 |
5 |
253 |
| Post-recession US employment through the lens of a non-linear Okun |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
50 |
| Post-recession US employment through the lens of a non-linear Okun’s law |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
| Post-recession US employment through the lens of a non-linear Okun’s law |
0 |
0 |
0 |
127 |
0 |
0 |
4 |
218 |
| Prévoir la volatilité d’un actif financier à l’aide d’un modèle à mélange de fréquences |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
6 |
| Prévoir la volatilité d’un actif financier à l’aide d’un modèle à mélange de fréquences |
0 |
0 |
0 |
7 |
2 |
2 |
3 |
45 |
| Questioning the puzzle: Fiscal policy, exchange rate and inflation |
0 |
0 |
3 |
75 |
0 |
4 |
14 |
340 |
| Questioning the puzzle: fiscal policy, real exchange rate and inflation |
0 |
0 |
2 |
35 |
2 |
3 |
10 |
97 |
| Real-time detection of the business cycle using SETAR models |
0 |
1 |
1 |
23 |
0 |
1 |
1 |
68 |
| Testing Fractional Order of Long Memory Processes: A Monte Carlo Study |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
| Testing Fractional Order of Long Memory Processes: A Monte Carlo Study |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
| Testing Fractional Order of Long Memory Processes: A Monte Carlo Study |
0 |
0 |
0 |
17 |
0 |
1 |
2 |
66 |
| Testing fractional order of long memory processes: a Monte Carlo study |
0 |
0 |
0 |
73 |
0 |
0 |
1 |
192 |
| Testing fractional order of long memory processes: a Monte Carlo study |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
51 |
| Testing the Number of Factors: An Empirical Assessment for a Forecasting Purpose |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
| Testing the number of factors: An empirical assessment for forecasting purposes |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
27 |
| The European Way Out of Recessions |
0 |
0 |
0 |
18 |
0 |
0 |
1 |
73 |
| The European Way out of Recession |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
10 |
| The European way out of recession |
0 |
0 |
0 |
218 |
1 |
1 |
5 |
692 |
| The New Fama Puzzle |
0 |
1 |
4 |
98 |
0 |
2 |
10 |
521 |
| The New Fama Puzzle |
0 |
0 |
0 |
0 |
0 |
4 |
15 |
20 |
| The Possible Shapes of Recoveries in Markov-Switching Models |
0 |
0 |
0 |
44 |
0 |
0 |
2 |
111 |
| The Predictive Power of the Term Spread and Financial Variables for Economic Activity across Countries |
0 |
1 |
3 |
21 |
1 |
3 |
8 |
36 |
| The possible shapes of recoveries in Markov-Switching models |
0 |
0 |
0 |
79 |
0 |
0 |
0 |
164 |
| The possible shapes of recoveries in Markov-switching models |
0 |
0 |
0 |
156 |
0 |
0 |
3 |
473 |
| The way out of recessions: A forecasting analysis for some Euro area countries |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
12 |
| The way out of recessions: Evidence from a bounce-back augmented threshold regression |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
16 |
| Un indicateur d'entrée et sortie de récession: application aux Etats-Unis |
0 |
0 |
0 |
71 |
0 |
2 |
4 |
357 |
| Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges |
0 |
0 |
3 |
66 |
1 |
2 |
10 |
240 |
| Understanding the weakness in global trade - What is the new normal? |
1 |
1 |
2 |
204 |
2 |
6 |
11 |
798 |
| Une revue de la littérature des modèles à facteurs dynamiques |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
39 |
| What Are The Macroeconomic Effects of High-Frequency Uncertainty Shocks? |
0 |
0 |
1 |
1 |
0 |
2 |
6 |
8 |
| What Are The Macroeconomic Effects of High-Frequency Uncertainty Shocks? |
0 |
0 |
0 |
364 |
0 |
1 |
9 |
909 |
| What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks |
0 |
0 |
1 |
80 |
0 |
0 |
2 |
272 |
| What are the macroeconomic effects of high-frequency uncertainty shocks? |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
22 |
| When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage |
0 |
0 |
1 |
24 |
0 |
1 |
6 |
24 |
| When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage |
0 |
1 |
7 |
164 |
2 |
10 |
34 |
380 |
| When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage |
0 |
1 |
3 |
25 |
0 |
1 |
5 |
47 |
| When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage |
0 |
1 |
2 |
2 |
0 |
4 |
7 |
7 |
| When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage |
0 |
4 |
4 |
74 |
0 |
7 |
10 |
214 |
| When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage |
0 |
1 |
3 |
163 |
0 |
4 |
11 |
476 |
| Total Working Papers |
11 |
35 |
182 |
10,811 |
55 |
194 |
865 |
31,760 |