| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Dynamic Factor Model of the Yield Curve as a Predictor of the Economy |
0 |
0 |
0 |
89 |
0 |
0 |
3 |
175 |
| A Joint Dynamic Bi-Factor Model of the Yield Curve and the Economy as a Predictor of Business Cycles |
0 |
0 |
0 |
221 |
0 |
2 |
5 |
480 |
| A comparison of the real-time performance of business cycle dating methods |
0 |
0 |
6 |
469 |
1 |
2 |
14 |
1,454 |
| Consumers' Sunspots, Animal Spirits, and Economic Fluctuations |
0 |
0 |
0 |
162 |
0 |
0 |
1 |
1,316 |
| Dating Business Cycle Turning Points |
0 |
1 |
9 |
434 |
0 |
2 |
19 |
1,219 |
| Employment and the business cycle |
0 |
0 |
0 |
68 |
2 |
2 |
2 |
111 |
| Employment and the business cycle |
0 |
0 |
0 |
9 |
1 |
2 |
3 |
56 |
| Forecasting Brazilian Output in Real Time in the Presence of breaks: a Comparison Of Linear and Nonlinear Models |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
21 |
| Forecasting Brazilian output in the presence of breaks: a comparison of linear and nonlinear models |
0 |
0 |
0 |
142 |
0 |
0 |
0 |
463 |
| Forecasting recessions using the yield curve |
1 |
1 |
3 |
640 |
1 |
4 |
7 |
1,870 |
| How Better Monetary Statistics Could Have Signaled the Financial Crisis |
0 |
0 |
1 |
211 |
0 |
1 |
6 |
529 |
| How better monetary statistics could have signaled the financial crisis |
0 |
0 |
1 |
92 |
0 |
1 |
4 |
261 |
| Identifying business cycle turning points in real time |
0 |
0 |
0 |
393 |
0 |
0 |
0 |
1,060 |
| Incomplete Price Adjustment and Inflation Persistence |
0 |
0 |
1 |
38 |
0 |
1 |
2 |
60 |
| International Financial Aggregation and Index Number Theory: A Chronological Half-Century Empirical Overview |
0 |
0 |
0 |
57 |
1 |
1 |
1 |
166 |
| International Financial Aggregation and Index Number Theory: A Chronological Half-Century Empirical Overview |
0 |
0 |
0 |
72 |
0 |
1 |
4 |
375 |
| Leading Indicators of Inflation for Brazil |
0 |
0 |
3 |
151 |
0 |
0 |
3 |
438 |
| Markov switching in disaggregate unemployment rates |
0 |
0 |
0 |
115 |
0 |
0 |
1 |
510 |
| Measurement Error in Monetary Aggregates: A Markov Switching Factor Approach |
0 |
0 |
0 |
33 |
0 |
0 |
2 |
106 |
| Measurement Error in Monetary Aggregates: A Markov Switching Factor Approach |
0 |
0 |
0 |
68 |
0 |
0 |
1 |
261 |
| Measurement Error in Monetary Aggregates: A Markov Switching Factor Approach |
0 |
0 |
1 |
91 |
0 |
0 |
2 |
425 |
| Measurement Error in Monetary Aggregates: A Markov Switching Factor Approach |
0 |
0 |
0 |
24 |
0 |
1 |
2 |
164 |
| Microfoundations of Inflation Persistence in the New Keynesian Phillips Curve |
0 |
1 |
1 |
166 |
1 |
3 |
7 |
416 |
| Microfoundations of inflation persistence in the New Keynesian Phillips curve |
0 |
0 |
0 |
19 |
1 |
2 |
3 |
91 |
| Monitoring Business Cycles with Structural Breaks |
0 |
0 |
0 |
57 |
0 |
1 |
2 |
141 |
| Nonlinear relationship between permanent and transitory components of monetary aggregates and the economy |
0 |
0 |
0 |
70 |
0 |
0 |
2 |
263 |
| Nonlinear risk |
0 |
0 |
0 |
262 |
0 |
0 |
1 |
956 |
| Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary |
0 |
0 |
0 |
7 |
0 |
2 |
3 |
25 |
| Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary Aggregates |
0 |
0 |
0 |
71 |
0 |
0 |
6 |
257 |
| Nowcasting nominal gdp with the credit-card augmented Divisia monetary aggregates |
0 |
0 |
0 |
39 |
1 |
1 |
4 |
91 |
| Real Time Changes in Monetary Policy |
0 |
0 |
0 |
43 |
0 |
1 |
1 |
233 |
| Real-Time Nowcasting Nominal GDP Under Structural Break |
0 |
0 |
0 |
38 |
0 |
0 |
2 |
116 |
| Real-Time Nowcasting of Nominal GDP Under Structural Breaks |
0 |
0 |
1 |
64 |
0 |
0 |
1 |
110 |
| Recent changes in the U.S. business cycle |
0 |
0 |
1 |
338 |
0 |
2 |
4 |
1,604 |
| The Brazilian Economic Fluctuations |
0 |
0 |
0 |
64 |
0 |
0 |
0 |
305 |
| The Credit-Card-Services Augmented Divisia Monetary Aggregates |
0 |
0 |
0 |
61 |
0 |
0 |
2 |
213 |
| The End of the Great Moderation: “We told you so.” |
0 |
0 |
0 |
141 |
0 |
1 |
2 |
256 |
| The End of the Great Moderation? |
0 |
0 |
1 |
413 |
0 |
1 |
6 |
1,501 |
| The Future of Oil: Geology Versus Technology |
0 |
0 |
0 |
238 |
0 |
1 |
3 |
525 |
| The credit-card-services augmented Divisia monetary aggregates |
0 |
0 |
0 |
30 |
1 |
1 |
5 |
68 |
| Transfer Learning for Business Cycle Identification |
0 |
1 |
3 |
20 |
0 |
3 |
12 |
85 |
| What does financial volatility tell us about macroeconomic fluctuations? |
0 |
0 |
0 |
70 |
0 |
1 |
3 |
162 |
| What does financial volatility tell us about macroeconomic fluctuations? |
0 |
0 |
2 |
73 |
0 |
0 |
2 |
85 |
| What does financial volatility tell us about macroeconomic fluctuations? |
0 |
0 |
0 |
144 |
1 |
1 |
1 |
322 |
| Total Working Papers |
1 |
4 |
34 |
6,031 |
11 |
41 |
154 |
19,345 |
LogEc is hosted by the
Örebro University School of Business.