| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A COMPARISON OF THE FORECAST PERFORMANCE OF MARKOV-SWITCHING AND THRESHOLD AUTOREGRESSIVE MODELS OF US GNP |
1 |
1 |
1 |
13 |
2 |
3 |
4 |
58 |
| A Comparison of the Forecasting Performance of Markov-Switching and Threshold Autoregressive Models of US GNP |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
1,156 |
| A Monte Carlo Study of the Forecasting Performance of Empirical Setar Models |
0 |
0 |
0 |
10 |
3 |
4 |
4 |
252 |
| An Investigation into the Uncertainty Revision Process of Professional Forecasters |
0 |
1 |
1 |
1 |
1 |
4 |
12 |
14 |
| An Overview of Forecasting Facing Breaks |
1 |
1 |
3 |
116 |
3 |
5 |
10 |
202 |
| Anticipating Early Data Revisions to US GDP and the Effects of Releases on Equity Markets |
0 |
0 |
0 |
61 |
0 |
1 |
3 |
68 |
| Are Macro-Forecasters Essentially The Same? An Analysis of Disagreement, Accuracy and Efficiency |
0 |
0 |
0 |
75 |
1 |
2 |
4 |
111 |
| Are Macroeconomic Density Forecasts Informative? |
0 |
0 |
0 |
69 |
1 |
1 |
1 |
79 |
| Assessing Macro Uncertainty In Real-Time When Data Are Subject To Revision |
0 |
0 |
0 |
48 |
1 |
1 |
2 |
101 |
| Assessing Macro-Forecaster Herding: Modelling versus Testing |
0 |
0 |
0 |
33 |
2 |
2 |
2 |
57 |
| Assessing the Evidence of Macro- Forecaster Herding: Forecasts of Inflation and Output Growth |
0 |
0 |
0 |
39 |
0 |
1 |
2 |
62 |
| Business Cycle Asymmetries: Characterisation and Testing based on Markov-Switching Autoregressions |
0 |
0 |
0 |
6 |
4 |
5 |
7 |
38 |
| Business Cycle Asymmetries: Characterisationand Testing Based on Markov-Switching Autoregression |
1 |
1 |
1 |
200 |
1 |
1 |
2 |
772 |
| Data Revisions and Real-time Probabilistic Forecasting of Macroeconomic Variables |
0 |
0 |
0 |
100 |
3 |
4 |
6 |
215 |
| Do Professional Forecasters Pay Attention to Data Releases? |
0 |
0 |
0 |
48 |
1 |
4 |
5 |
124 |
| Do Professional Forecasters Pay Attention to Data Releases? |
0 |
0 |
0 |
3 |
2 |
2 |
5 |
32 |
| Do Professional Forecasters' Phillips Curves Incorporate the Beliefs of Others? |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
10 |
| Do Survey Joiners and Leavers Differ from Regular Participants? The US SPF GDP Growth and Inflation Forecasts |
0 |
0 |
0 |
19 |
3 |
3 |
4 |
37 |
| Do US Macroeconomic Forecasters Exaggerate Their Differences? |
0 |
0 |
0 |
37 |
1 |
1 |
2 |
56 |
| Do forecasters target first or later releases of national accounts data? |
0 |
0 |
0 |
25 |
2 |
3 |
4 |
76 |
| EVALUATING THE FORECAST DENSITIES OF LINEAR AND NON-LINEAR MODELS: APPLICATIONS TO OUTPUT GROWTH AND UNEMPLOYMENT |
0 |
0 |
3 |
13 |
0 |
2 |
7 |
34 |
| Economic Forecasting: Some Lessons from Recent Research |
0 |
0 |
2 |
412 |
0 |
0 |
5 |
984 |
| Economic Forecasting: Some Lessons from Recent Research |
0 |
0 |
1 |
493 |
1 |
4 |
13 |
825 |
| Economic Forecasting: Some Lessons from Recent Research |
0 |
0 |
1 |
8 |
1 |
2 |
3 |
51 |
| Economic forecasting: some lessons from recent research |
0 |
1 |
2 |
451 |
3 |
5 |
9 |
985 |
| Evaluating The Forecast of Densities of Linear and Non-Linear Models: Applications to Output Growth and Unemployment |
1 |
1 |
1 |
19 |
2 |
3 |
4 |
660 |
| Evaluating the Rationality of Fixed-Event Forecasts |
0 |
0 |
0 |
7 |
2 |
2 |
5 |
362 |
| Evaluating the rationality of fixed-event forecasts |
0 |
0 |
1 |
8 |
1 |
2 |
4 |
34 |
| Explanations of the inconsistencies in survey respondents' forecasts |
0 |
0 |
0 |
4 |
3 |
4 |
5 |
125 |
| Explanations of the inconsistencies in survey respondents'forecasts |
1 |
1 |
1 |
80 |
4 |
5 |
5 |
261 |
| FORECASTING SEASONAL UK CONSUMPTION COMPONENTS |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
9 |
| FORECASTING WITH DIFFERENCE-STATIONARY AND TREND-STATIONARY MODELS |
0 |
0 |
0 |
3 |
2 |
2 |
3 |
36 |
| First Announcements and Real Economic Activity |
0 |
0 |
0 |
1 |
1 |
2 |
3 |
65 |
| First Announcements and Real Economic Activity |
0 |
0 |
1 |
63 |
0 |
0 |
2 |
347 |
| Forecast Encompassing Tests and Probability Forecasts |
0 |
0 |
0 |
1 |
0 |
3 |
3 |
32 |
| Forecast Encompassing Tests and Probability Forecasts |
2 |
2 |
2 |
313 |
4 |
7 |
11 |
922 |
| Forecasters' Disagreement about How the Economy Operates, and the Role of Long-run Relationships |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
44 |
| Forecasting Seasonal UK Consumption Components |
0 |
0 |
0 |
2 |
1 |
1 |
2 |
14 |
| Forecasting Seasonal UK Consumption Components |
0 |
0 |
0 |
4 |
1 |
2 |
4 |
93 |
| Forecasting Seasonal UK Consumption Components |
0 |
0 |
0 |
53 |
1 |
2 |
3 |
817 |
| Forecasting by factors, by variables, or both? |
0 |
0 |
0 |
147 |
0 |
0 |
0 |
299 |
| Forecasting economic and financial time-series with non-linear models |
0 |
0 |
0 |
876 |
3 |
6 |
7 |
1,667 |
| Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts |
0 |
0 |
0 |
149 |
0 |
0 |
3 |
628 |
| Forecasting in Cointegrated Systems |
0 |
0 |
0 |
4 |
1 |
1 |
4 |
227 |
| Forecasting with Difference-Stationary and Trend-Stationary Models |
0 |
0 |
1 |
44 |
1 |
1 |
10 |
191 |
| Forecasting with Difference-Stationary and Trend-Stationary Models |
1 |
1 |
1 |
23 |
2 |
3 |
3 |
1,663 |
| Forecasting: theory and practice |
1 |
2 |
7 |
92 |
7 |
18 |
33 |
131 |
| How Local is the Local Inflation Factor? Evidence from Emerging European Countries |
0 |
0 |
0 |
28 |
2 |
3 |
4 |
61 |
| Improving Real-time Estimates of Output Gaps and Inflation Trends with Multiple-vintage Models |
1 |
1 |
4 |
7 |
2 |
3 |
7 |
81 |
| Individual Forecaster Perceptions of the Persistence of Shocks to GDP |
0 |
0 |
0 |
39 |
2 |
2 |
4 |
78 |
| Internal consistency of survey respondents.forecasts: Evidence based on the Survey of Professional Forecasters |
2 |
3 |
3 |
128 |
4 |
5 |
6 |
639 |
| Internal consistency of survey respondentsíforecasts: Evidence based on the Survey of Professional Forecasters |
0 |
0 |
1 |
4 |
0 |
0 |
2 |
23 |
| Long-Run Restrictions and Survey Forecasts of Output, Consumption and Investment |
0 |
0 |
0 |
27 |
1 |
1 |
2 |
44 |
| MODELLING BUSINESS CYCLE FEATURES USING SWITCHING REGIME MODELS |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
444 |
| MULTI-STEP ESTIMATION FOR FORECASTING |
0 |
0 |
0 |
4 |
1 |
1 |
1 |
60 |
| Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth |
2 |
3 |
5 |
19 |
6 |
13 |
19 |
81 |
| Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US output growth and inflation |
0 |
0 |
1 |
8 |
0 |
2 |
5 |
109 |
| Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US output growth and inflation |
3 |
4 |
4 |
467 |
6 |
10 |
14 |
1,160 |
| Measuring Macroeconomic Uncertainty: US Inflation and Output Growth |
0 |
0 |
0 |
90 |
0 |
0 |
3 |
228 |
| Modelling Business Cycle Features Using Switching Regime Models |
0 |
0 |
0 |
40 |
1 |
4 |
5 |
114 |
| Multi-Step Estimation for Forecasting |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
214 |
| NON-LINEARITIES IN EXCHANGE RATES |
0 |
0 |
0 |
0 |
1 |
2 |
4 |
11 |
| Non-Linearities in Exchange Rates |
1 |
1 |
1 |
7 |
3 |
3 |
4 |
614 |
| On SETAR non- linearity and forecasting |
0 |
0 |
0 |
54 |
2 |
2 |
3 |
128 |
| On the Limitations of Comparing Mean Square Forecast Errors |
0 |
0 |
0 |
1 |
4 |
4 |
8 |
765 |
| Performance of Alternative Forecasting Methods for Setar Models |
0 |
0 |
1 |
2 |
1 |
1 |
3 |
191 |
| Pooling of Forecasts |
0 |
1 |
2 |
333 |
0 |
1 |
5 |
816 |
| Probability Distributions or Point Predictions? Survey Forecasts of US Output Growth and Inflation |
0 |
0 |
0 |
2 |
3 |
5 |
7 |
74 |
| Probability Distributions or Point Predictions? Survey Forecasts of US Output Growth and Inflation |
0 |
0 |
0 |
68 |
3 |
3 |
6 |
216 |
| Quantile Forecasts of Daily Exchange Rate Returns from Forecasts of Realized Volatility |
0 |
0 |
2 |
292 |
4 |
5 |
8 |
1,060 |
| Quantile Forecasts of Daily Exchange Rate Returns from Forecasts of Realized Volatility |
0 |
0 |
0 |
2 |
1 |
2 |
3 |
83 |
| Real-Time Factor Model Forecasting and the Effects of Instability |
0 |
0 |
0 |
48 |
2 |
2 |
4 |
63 |
| Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions |
1 |
1 |
1 |
79 |
1 |
1 |
5 |
151 |
| Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions |
0 |
0 |
0 |
3 |
0 |
2 |
3 |
44 |
| Robust Approaches to Forecasting |
0 |
0 |
1 |
241 |
0 |
2 |
6 |
517 |
| Rounding of probability forecasts: The SPF forecast probabilities of negative output growth |
1 |
1 |
1 |
61 |
2 |
2 |
3 |
305 |
| Rounding of probability forecasts: The SPF forecast probabilities of negative output growth |
0 |
0 |
0 |
3 |
1 |
1 |
2 |
14 |
| SEASONALITY, COINTEGRATION, AND THE FORECASTING OF ENERGY DEMAND |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
14 |
| Seasonality, Cointegration, and the Forecasting of Energy Demand |
0 |
0 |
0 |
6 |
1 |
2 |
2 |
1,160 |
| Sir Clive W.J. Granger's Contributions to Forecasting |
0 |
0 |
0 |
7 |
0 |
1 |
2 |
30 |
| Subjective and Ex Post Forecast Uncertainty: US Inflation and Output Growth |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
20 |
| Subjective and Ex Post Forecast Uncertainty: US Inflation and Output Growth |
0 |
0 |
0 |
66 |
0 |
0 |
0 |
212 |
| Surveys of Professionals |
0 |
1 |
1 |
12 |
1 |
3 |
5 |
26 |
| THE ESTIMATION AND TESTING OF COINTEGRATING VECTORS: A SURVEY OF RECENT APPROACHES AND AN APPLICATION TO THE U.K. NON-DURABLE CONSUMPTION FUNCTION |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
63 |
| THE MATHEMATICAL STRUCTURE OF MODELS THAT EXHIBIT COINTEGRATION: A SURVEY OF RECENT APPROACHES |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
68 |
| Testing Structural Hypotheses by Encompassing: Us Wages and Prices is the Mark-Up Pricing Hypothesis Dead? |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
50 |
| The Performance of Alternative Forecasting Methods for SETAR Models |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
24 |
| US inflation expectations and heterogeneous loss functions, 1968–2010 |
0 |
0 |
0 |
49 |
0 |
0 |
0 |
98 |
| US inflation expectations and heterogeneous loss functions, 1968–2010 |
0 |
0 |
1 |
1 |
1 |
3 |
5 |
23 |
| Why are survey forecasts superior to model forecasts? |
1 |
1 |
1 |
103 |
1 |
2 |
4 |
139 |
| Why are survey forecasts superior to model forecasts? |
0 |
0 |
0 |
2 |
0 |
1 |
1 |
17 |
| Total Working Papers |
21 |
29 |
60 |
6,523 |
131 |
225 |
414 |
25,358 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Monte Carlo Study of the Forecasting Performance of Empirical SETAR Models |
0 |
0 |
0 |
324 |
1 |
3 |
3 |
973 |
| A comparison of tests of nonlinear cointegration with application to the predictability of US interest rates using the term structure |
0 |
0 |
0 |
115 |
1 |
1 |
2 |
296 |
| A comparison of the forecast performance of Markov-switching and threshold autoregressive models of US GNP |
0 |
0 |
0 |
1 |
1 |
1 |
5 |
970 |
| An Empirical Investigation of the Effects of Rounding on the SPF Probabilities of Decline and Output Growth Histograms |
0 |
0 |
0 |
2 |
12 |
13 |
13 |
18 |
| An Empirical Investigation of the Effects of Rounding on the SPF Probabilities of Decline and Output Growth Histograms |
0 |
0 |
0 |
0 |
2 |
2 |
4 |
47 |
| An Historical Perspective on Forecast Errors |
0 |
0 |
0 |
0 |
3 |
3 |
4 |
6 |
| An Historical Perspective on Forecast Errors |
0 |
0 |
0 |
8 |
0 |
1 |
2 |
33 |
| An Investigation into the Uncertainty Revision Process of Professional Forecasters |
0 |
1 |
2 |
2 |
0 |
5 |
12 |
12 |
| An Overview of Forecasting Facing Breaks |
0 |
0 |
3 |
17 |
1 |
6 |
14 |
101 |
| An empirical study of seasonal unit roots in forecasting |
0 |
0 |
0 |
60 |
2 |
3 |
5 |
189 |
| An evaluation of the forecasts of the federal reserve: a pooled approach |
0 |
0 |
1 |
119 |
0 |
0 |
6 |
340 |
| Are Professional Macroeconomic Forecasters Able To Do Better Than Forecasting Trends? |
0 |
0 |
1 |
16 |
2 |
2 |
3 |
64 |
| Are Some Forecasters’ Probability Assessments of Macro Variables Better Than Those of Others? |
0 |
0 |
0 |
3 |
1 |
2 |
3 |
31 |
| Are macroeconomic density forecasts informative? |
0 |
0 |
2 |
38 |
1 |
2 |
4 |
115 |
| Assessing Macro Uncertainty in Real-Time When Data Are Subject To Revision |
0 |
0 |
0 |
7 |
1 |
2 |
4 |
48 |
| Asymmetric output‐gap effects in Phillips Curve and mark‐up pricing models: Evidence for the US and the UK |
0 |
0 |
1 |
99 |
0 |
0 |
2 |
404 |
| Bootstrap prediction intervals for autoregressive time series |
0 |
0 |
0 |
92 |
1 |
2 |
4 |
212 |
| Bootstrapping prediction intervals for autoregressive models |
0 |
0 |
0 |
88 |
1 |
3 |
5 |
246 |
| Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions |
0 |
0 |
0 |
0 |
2 |
4 |
6 |
641 |
| Can Econometrics Improve Economic Forecasting? |
0 |
0 |
0 |
73 |
1 |
2 |
2 |
209 |
| Can oil shocks explain asymmetries in the US Business Cycle? |
0 |
0 |
0 |
197 |
1 |
2 |
4 |
618 |
| Can regime-switching models reproduce the business cycle features of US aggregate consumption, investment and output? |
0 |
0 |
2 |
195 |
1 |
2 |
8 |
453 |
| Combining probability forecasts |
0 |
0 |
0 |
70 |
0 |
1 |
2 |
270 |
| Combining probability forecasts |
0 |
0 |
1 |
14 |
1 |
4 |
7 |
68 |
| Comments on "Forecasting economic and financial variables with global VARs" |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
25 |
| Comments on 'The state of macroeconomic forecasting' |
0 |
0 |
0 |
32 |
1 |
2 |
3 |
152 |
| Conditional mean functions of non-linear models of US output |
0 |
0 |
0 |
40 |
0 |
2 |
5 |
243 |
| Consensus and uncertainty: Using forecast probabilities of output declines |
0 |
0 |
2 |
24 |
1 |
2 |
5 |
97 |
| Density forecasting with Bayesian Vector Autoregressive models under macroeconomic data uncertainty |
0 |
0 |
0 |
3 |
0 |
2 |
3 |
18 |
| Do Macroforecasters Herd? |
0 |
0 |
0 |
9 |
3 |
5 |
5 |
48 |
| Do US Macroeconomic Forecasters Exaggerate their Differences? |
0 |
0 |
1 |
5 |
1 |
1 |
2 |
37 |
| Do forecasters target first or later releases of national accounts data? |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
28 |
| Do professional forecasters believe in the Phillips curve? |
0 |
0 |
0 |
1 |
4 |
6 |
11 |
17 |
| Do professional forecasters pay attention to data releases? |
0 |
0 |
0 |
19 |
1 |
2 |
2 |
85 |
| Do survey joiners and leavers differ from regular participants? The US SPF GDP growth and inflation forecasts |
0 |
0 |
0 |
10 |
0 |
0 |
2 |
20 |
| Economic Forecasting in a Changing World |
0 |
0 |
0 |
90 |
5 |
6 |
8 |
207 |
| Economic forecasting: some lessons from recent research |
0 |
0 |
0 |
223 |
1 |
1 |
6 |
559 |
| Empirical analysis of macroeconomic time series: VAR and structural models |
0 |
0 |
0 |
520 |
1 |
1 |
4 |
1,016 |
| Evaluating a Model by Forecast Performance* |
0 |
0 |
0 |
88 |
2 |
2 |
2 |
286 |
| Evaluating forecasts from SETAR models of exchange rates |
0 |
0 |
0 |
153 |
2 |
3 |
4 |
347 |
| Evaluating interval forecasts of high-frequency financial data |
0 |
0 |
1 |
526 |
1 |
3 |
4 |
1,404 |
| Evaluating multivariate forecast densities: a comparison of two approaches |
0 |
0 |
0 |
76 |
1 |
1 |
1 |
198 |
| Evaluating the Bank of England Density Forecasts of Inflation |
0 |
0 |
0 |
106 |
1 |
1 |
2 |
327 |
| Evaluating the survey of professional forecasters probability distributions of expected inflation based on derived event probability forecasts |
0 |
0 |
2 |
78 |
1 |
1 |
3 |
273 |
| Explanations of the inconsistencies in survey respondents' forecasts |
0 |
0 |
1 |
59 |
1 |
1 |
6 |
227 |
| FORECASTING QUARTERLY AGGREGATE CRIME SERIES |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
120 |
| First announcements and real economic activity |
0 |
0 |
0 |
18 |
0 |
1 |
6 |
145 |
| Forecast Uncertainty- Ex Ante and Ex Post: U.S. Inflation and Output Growth |
0 |
1 |
6 |
68 |
1 |
2 |
11 |
170 |
| Forecast encompassing tests and probability forecasts |
0 |
0 |
0 |
71 |
2 |
5 |
8 |
330 |
| Forecaster Efficiency, Accuracy, and Disagreement: Evidence Using Individual‐Level Survey Data |
0 |
0 |
1 |
8 |
0 |
0 |
2 |
27 |
| Forecasting GDP growth rates in the United States and Brazil using Google Trends |
0 |
0 |
0 |
2 |
2 |
6 |
16 |
36 |
| Forecasting U.S. Output Growth with Non-Linear Models in the Presence of Data Uncertainty |
0 |
0 |
1 |
50 |
0 |
0 |
2 |
120 |
| Forecasting US output growth using leading indicators: an appraisal using MIDAS models |
0 |
2 |
6 |
30 |
3 |
7 |
17 |
117 |
| Forecasting US output growth using leading indicators: an appraisal using MIDAS models |
0 |
0 |
0 |
318 |
1 |
2 |
7 |
736 |
| Forecasting and forecast narratives: The Bank of England Inflation Reports |
0 |
0 |
0 |
12 |
3 |
5 |
5 |
50 |
| Forecasting by factors, by variables, by both or neither? |
0 |
0 |
0 |
68 |
2 |
4 |
11 |
274 |
| Forecasting economic and financial time-series with non-linear models |
0 |
0 |
0 |
288 |
7 |
9 |
13 |
769 |
| Forecasting economic processes |
0 |
0 |
1 |
92 |
0 |
0 |
6 |
249 |
| Forecasting in Cointegration Systems |
0 |
0 |
1 |
380 |
2 |
3 |
6 |
754 |
| Forecasting returns and risk in financial markets using linear and nonlinear models |
0 |
0 |
0 |
95 |
0 |
0 |
0 |
216 |
| Forecasting with Bayesian multivariate vintage-based VARs |
0 |
0 |
0 |
5 |
1 |
3 |
5 |
91 |
| Forecasting with difference-stationary and trend-stationary models |
0 |
0 |
0 |
29 |
0 |
0 |
4 |
1,742 |
| Forecasting with vector autoregressive models of data vintages: US output growth and inflation |
0 |
0 |
3 |
25 |
0 |
2 |
9 |
161 |
| Forecasting: theory and practice |
1 |
1 |
10 |
55 |
12 |
23 |
99 |
366 |
| Guest Editors’ Introduction: Information in Economic Forecasting |
0 |
0 |
1 |
61 |
3 |
3 |
5 |
183 |
| How local is the local inflation factor? Evidence from emerging European countries |
0 |
0 |
2 |
4 |
4 |
6 |
11 |
19 |
| Improving Real-Time Estimates of Output and Inflation Gaps With Multiple-Vintage Models |
0 |
0 |
0 |
8 |
0 |
2 |
4 |
60 |
| Inconsistent survey histograms and point forecasts revisited |
0 |
0 |
0 |
0 |
1 |
3 |
4 |
4 |
| Independent directors, information costs and foreign ownership in Chinese companies |
0 |
0 |
0 |
8 |
2 |
4 |
4 |
142 |
| Individual forecaster perceptions of the persistence of shocks to GDP |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
13 |
| Intercept Corrections and Structural Change |
0 |
0 |
1 |
263 |
3 |
4 |
9 |
862 |
| Long-run restrictions and survey forecasts of output, consumption and investment |
0 |
0 |
0 |
2 |
1 |
1 |
1 |
37 |
| Macro-economic Forecasting and Modelling |
0 |
0 |
0 |
138 |
0 |
1 |
2 |
441 |
| Macroeconomic Forecasting With Mixed-Frequency Data |
1 |
1 |
3 |
239 |
4 |
7 |
13 |
505 |
| Measuring the effects of expectations shocks |
0 |
0 |
1 |
17 |
0 |
2 |
4 |
49 |
| Model and survey estimates of the term structure of US macroeconomic uncertainty |
0 |
0 |
0 |
4 |
2 |
2 |
4 |
78 |
| Modeling Price and Variance Jump Clustering Using the Marked Hawkes Process* |
0 |
0 |
2 |
2 |
1 |
5 |
9 |
11 |
| Modelling methodology and forecast failure |
0 |
0 |
0 |
105 |
0 |
1 |
4 |
382 |
| Multi-step Estimation for Forecasting |
0 |
0 |
0 |
3 |
3 |
5 |
6 |
363 |
| On SETAR non-linearity and forecasting |
0 |
0 |
0 |
206 |
4 |
4 |
5 |
665 |
| On winning forecasting competitions in economics |
0 |
0 |
0 |
201 |
2 |
3 |
3 |
773 |
| Pooling of forecasts |
0 |
0 |
0 |
304 |
2 |
2 |
8 |
868 |
| Predicting Early Data Revisions to U.S. GDP and the Effects of Releases on Equity Markets |
0 |
1 |
1 |
5 |
3 |
4 |
8 |
46 |
| Probability distributions or point predictions? Survey forecasts of US output growth and inflation |
0 |
0 |
0 |
20 |
0 |
1 |
3 |
84 |
| Quantile forecasts of daily exchange rate returns from forecasts of realized volatility |
0 |
0 |
0 |
78 |
2 |
2 |
4 |
346 |
| REAL‐TIME FORECASTING OF INFLATION AND OUTPUT GROWTH WITH AUTOREGRESSIVE MODELS IN THE PRESENCE OF DATA REVISIONS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
91 |
| Rationality and the Role of Judgement in Macroeconomic Forecasting |
0 |
0 |
1 |
69 |
1 |
1 |
4 |
217 |
| Real-time factor model forecasting and the effects of instability |
0 |
0 |
0 |
8 |
2 |
4 |
6 |
54 |
| Robust Evaluation of Fixed-Event Forecast Rationality |
0 |
0 |
0 |
0 |
1 |
1 |
5 |
205 |
| Robust approaches to forecasting |
0 |
1 |
2 |
61 |
1 |
2 |
7 |
149 |
| Rounding behaviour of professional macro-forecasters |
0 |
0 |
1 |
2 |
0 |
1 |
2 |
10 |
| Seasonality, Cointegration, and Forecasting UK Residential Energy Demand |
0 |
0 |
0 |
162 |
4 |
4 |
4 |
368 |
| Some possible directions for future research |
0 |
0 |
0 |
53 |
9 |
21 |
38 |
400 |
| Survey expectations and adjustments for multiple testing |
0 |
1 |
1 |
1 |
1 |
3 |
6 |
11 |
| TESTING THE EXPECTATIONS THEORY OF THE TERM STRUCTURE OF INTEREST RATES IN THRESHOLD MODELS |
0 |
0 |
0 |
14 |
0 |
2 |
4 |
84 |
| The UK Economy: Analysis and Prospects |
0 |
0 |
0 |
0 |
1 |
1 |
4 |
281 |
| The UK Economy: Analysis and Prospects |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
140 |
| The UK Economy: Analysis and Prospects |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
170 |
| The UK Economy: Analysis and Prospects |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
629 |
| The World Economy: Analysis and Prospects |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
162 |
| The World and UK Economy: Analysis and Prospects |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
78 |
| The choice of performance measures, target setting and vesting levels in UK firms' Chief Executive Officer equity‐based compensation |
1 |
1 |
2 |
4 |
1 |
2 |
5 |
8 |
| The performance of alternative forecasting methods for SETAR models |
0 |
0 |
1 |
114 |
2 |
3 |
4 |
331 |
| US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010 |
0 |
0 |
1 |
16 |
1 |
2 |
5 |
52 |
| Total Journal Articles |
3 |
10 |
69 |
7,431 |
161 |
292 |
641 |
27,822 |
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