| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Low-Dimension Collinearity-Robust Test for Non-linearity |
0 |
0 |
0 |
84 |
0 |
1 |
9 |
453 |
| A Low-Dimension Portmanteau Test for Non-linearity |
0 |
0 |
0 |
143 |
0 |
1 |
29 |
266 |
| A Tale of 3 Cities: Model Selection in Over-, Exact, and Under-specified Equations |
0 |
0 |
0 |
94 |
0 |
0 |
6 |
126 |
| A machine learning dynamic switching approach to forecasting when there are structural breaks |
1 |
1 |
6 |
95 |
1 |
2 |
20 |
103 |
| An Overview of Forecasting Facing Breaks |
0 |
0 |
3 |
117 |
1 |
5 |
27 |
222 |
| Automatic Selection for Non-linear Models |
0 |
0 |
0 |
179 |
0 |
0 |
14 |
556 |
| Can the UK achieve net-zero greenhouse gas emissions by 2050? |
0 |
0 |
0 |
46 |
0 |
0 |
13 |
102 |
| Evaluating Automatic Model Selection |
0 |
0 |
1 |
76 |
3 |
5 |
21 |
247 |
| Forecasting UK Inflation: the Roles of Structural Breaks and Time Disaggregation |
0 |
0 |
0 |
342 |
1 |
4 |
14 |
841 |
| Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview |
1 |
1 |
17 |
468 |
3 |
11 |
74 |
901 |
| Forecasting breaks and forecasting during breaks |
0 |
0 |
0 |
221 |
1 |
4 |
20 |
395 |
| Forecasting by factors, by variables, or both? |
0 |
0 |
0 |
147 |
0 |
1 |
8 |
307 |
| Forecasting with Equilibrium-correction Models during Structural Breaks |
0 |
0 |
0 |
160 |
0 |
3 |
22 |
390 |
| Forecasting: theory and practice |
1 |
1 |
6 |
96 |
1 |
5 |
46 |
159 |
| How To Pick The Best Regression Equation: A Review And Comparison Of Model Selection Algorithms |
1 |
2 |
4 |
799 |
1 |
4 |
38 |
1,924 |
| Identifying the Causal Role of CO2 during the Ice Ages |
0 |
0 |
0 |
54 |
0 |
2 |
18 |
103 |
| Mis-specification Testing: Non-Invariance of Expectations Models of Inflation |
0 |
0 |
0 |
101 |
0 |
0 |
13 |
269 |
| Model Selection in Equations with Many 'Small' Effects |
0 |
0 |
0 |
91 |
0 |
2 |
12 |
195 |
| Model Selection in Equations with Many 'Small' Effects |
0 |
0 |
0 |
25 |
0 |
0 |
8 |
104 |
| Model Selection in Under-specified Equations Facing Breaks |
0 |
0 |
0 |
34 |
0 |
1 |
12 |
166 |
| Model Selection when there are Multiple Breaks |
0 |
0 |
1 |
34 |
0 |
1 |
18 |
129 |
| Modelling Non-stationary 'Big Data' |
0 |
0 |
0 |
141 |
0 |
3 |
35 |
252 |
| Modelling and forecasting the dollar-pound exchange rate in the presence of structural breaks |
0 |
0 |
0 |
54 |
0 |
0 |
17 |
117 |
| On Not Evaluating Economic Models by Forecast Outcomes |
0 |
0 |
0 |
141 |
0 |
2 |
16 |
167 |
| Policy Analysis, Forediction, and Forecast Failure |
0 |
0 |
1 |
114 |
0 |
0 |
10 |
214 |
| Robust Approaches to Forecasting |
0 |
0 |
0 |
241 |
1 |
6 |
16 |
530 |
| Robust Discovery of Regression Models |
0 |
0 |
0 |
68 |
0 |
1 |
17 |
95 |
| Selecting a Model for Forecasting |
0 |
0 |
0 |
94 |
0 |
1 |
26 |
203 |
| Semi-automatic Non-linear Model selection |
0 |
0 |
2 |
112 |
0 |
0 |
18 |
217 |
| Short-term forecasting of the Coronavirus Pandemic - 2020-04-27 |
0 |
0 |
1 |
48 |
0 |
1 |
8 |
93 |
| Smooth Robust Multi-Horizon Forecasts |
0 |
0 |
2 |
26 |
0 |
2 |
16 |
57 |
| Smooth Robust Multi-Horizon Forecasts |
0 |
0 |
0 |
46 |
0 |
2 |
12 |
85 |
| Some forecasting principles from the M4 competition |
0 |
0 |
0 |
52 |
0 |
1 |
20 |
130 |
| Structural relationships between cryptocurrency prices and monetary policy indicators |
0 |
0 |
3 |
30 |
0 |
1 |
26 |
62 |
| Testing the Invariance of Expectations Models of Inflation |
0 |
0 |
0 |
84 |
0 |
0 |
14 |
175 |
| Testing the Invariance of Expectations Models of Inflation |
0 |
0 |
0 |
27 |
0 |
0 |
8 |
100 |
| The Historical Role of Energy in UK Inflation and Productivity and Implications for Price Inflation in 2022 |
0 |
0 |
0 |
52 |
1 |
5 |
15 |
113 |
| The Long-Run Determinants of UK Wages, 1860-2004 |
0 |
0 |
0 |
210 |
0 |
3 |
13 |
599 |
| The historical role of energy in UK inflation and productivity and implications for price inflation in 2022 |
0 |
0 |
0 |
33 |
0 |
0 |
19 |
49 |
| Using Model Selection Algorthims to Obtain Reliable Coefficient Estimates |
0 |
0 |
0 |
58 |
0 |
1 |
17 |
170 |
| Total Working Papers |
4 |
5 |
47 |
5,037 |
14 |
81 |
765 |
11,386 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Novel Approach to Forecasting After Large Forecast Errors |
0 |
1 |
1 |
1 |
2 |
3 |
5 |
5 |
| A dynamic econometric analysis of the dollar-pound exchange rate in an era of structural breaks and policy regime shifts |
0 |
0 |
0 |
4 |
0 |
0 |
12 |
42 |
| A half-century diversion of monetary policy? An empirical horse-race to identify the UK variable most likely to deliver the desired nominal GDP growth rate |
1 |
1 |
4 |
46 |
1 |
1 |
18 |
265 |
| A low-dimension portmanteau test for non-linearity |
0 |
0 |
0 |
49 |
1 |
2 |
22 |
204 |
| An Overview of Forecasting Facing Breaks |
0 |
0 |
2 |
17 |
0 |
1 |
18 |
111 |
| CAN THE UK ACHIEVE NET ZERO GREENHOUSE GAS EMISSIONS BY 2050? |
0 |
0 |
0 |
0 |
0 |
0 |
21 |
23 |
| Card forecasts for M4 |
0 |
0 |
1 |
6 |
2 |
3 |
9 |
53 |
| Climate Econometrics: An Overview |
0 |
2 |
7 |
42 |
1 |
4 |
23 |
119 |
| Climate and Sustainable Energy Econometrics and Statistics |
0 |
0 |
1 |
1 |
0 |
0 |
6 |
6 |
| Could the Bank of England have avoided mis-forecasting UK inflation during 2021–24? |
0 |
0 |
3 |
3 |
0 |
4 |
18 |
18 |
| Detecting Location Shifts during Model Selection by Step-Indicator Saturation |
0 |
1 |
1 |
41 |
1 |
6 |
13 |
287 |
| Evaluating Automatic Model Selection |
0 |
0 |
0 |
171 |
0 |
0 |
17 |
558 |
| Evaluating Forecasts, Narratives and Policy Using a Test of Invariance |
0 |
0 |
1 |
10 |
1 |
3 |
17 |
64 |
| Evaluating PcGets and RETINA as Automatic Model Selection Algorithms* |
0 |
0 |
0 |
94 |
0 |
0 |
9 |
305 |
| Five sensitive intervention points to achieve climate neutrality by 2050, illustrated by the UK |
0 |
0 |
0 |
0 |
0 |
0 |
14 |
18 |
| Forecasting Climate Change Using a Multivariate Cointegrated System |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
| Forecasting Facing Economic Shifts, Climate Change and Evolving Pandemics |
0 |
0 |
0 |
1 |
1 |
2 |
10 |
18 |
| Forecasting Principles from Experience with Forecasting Competitions |
0 |
0 |
0 |
3 |
1 |
2 |
14 |
50 |
| Forecasting by factors, by variables, by both or neither? |
0 |
0 |
0 |
68 |
0 |
0 |
16 |
285 |
| Forecasting the UK top 1% income share in a shifting world |
0 |
0 |
0 |
2 |
0 |
2 |
41 |
49 |
| Forecasting with equilibrium-correction models during structural breaks |
0 |
0 |
1 |
68 |
0 |
3 |
11 |
285 |
| Forecasting: theory and practice |
2 |
4 |
13 |
65 |
8 |
23 |
187 |
521 |
| Improving models and forecasts after equilibrium-mean shifts |
1 |
2 |
2 |
4 |
1 |
3 |
10 |
15 |
| Machine Learning Dynamic Switching Approach to Forecasting in the Presence of Structural Breaks |
0 |
0 |
1 |
8 |
0 |
0 |
14 |
48 |
| Misspecification Testing: Non-Invariance of Expectations Models of Inflation |
0 |
0 |
0 |
11 |
0 |
0 |
11 |
80 |
| Model Selection in Equations with Many ‘Small’ Effects |
0 |
0 |
0 |
11 |
0 |
0 |
6 |
85 |
| Model selection in under-specified equations facing breaks |
0 |
0 |
1 |
25 |
0 |
1 |
8 |
122 |
| Model selection when there are multiple breaks |
0 |
0 |
0 |
45 |
1 |
3 |
14 |
194 |
| Modeling and forecasting the COVID‐19 pandemic time‐series data |
0 |
0 |
0 |
2 |
0 |
0 |
14 |
33 |
| Modelling non-stationary ‘Big Data’ |
0 |
0 |
0 |
7 |
0 |
0 |
5 |
33 |
| NOWCASTING IS NOT JUST CONTEMPORANEOUS FORECASTING |
0 |
0 |
1 |
81 |
0 |
0 |
7 |
209 |
| Nowcasting from disaggregates in the face of location shifts |
0 |
0 |
0 |
76 |
0 |
1 |
9 |
194 |
| Nowcasting is not Just Contemporaneous Forecasting |
0 |
0 |
0 |
5 |
0 |
2 |
8 |
20 |
| Robust Discovery of Regression Models |
0 |
0 |
1 |
5 |
0 |
3 |
10 |
20 |
| Robust approaches to forecasting |
0 |
0 |
1 |
61 |
0 |
3 |
13 |
160 |
| Selecting a Model for Forecasting |
0 |
0 |
1 |
20 |
0 |
1 |
37 |
89 |
| Short-term forecasting of the coronavirus pandemic |
0 |
0 |
0 |
4 |
0 |
0 |
4 |
15 |
| Stability between cryptocurrency prices and the term structure |
0 |
0 |
2 |
6 |
1 |
4 |
26 |
45 |
| Stigum, Bernt P.: Econometrics in a formal science of economics: theory and the measurement of economic relations |
0 |
0 |
0 |
5 |
1 |
1 |
3 |
37 |
| Stigum, Bernt P.: Econometrics in a formal science of economics: theory and the measurement of economic relations |
0 |
0 |
0 |
18 |
0 |
0 |
5 |
78 |
| THE VALUE OF ROBUST STATISTICAL FORECASTS IN THE COVID-19 PANDEMIC |
0 |
0 |
1 |
10 |
0 |
1 |
9 |
29 |
| The historical role of energy in UK inflation and productivity with implications for price inflation |
0 |
0 |
0 |
2 |
0 |
0 |
15 |
18 |
| The long-run determinants of UK wages, 1860-2004 |
0 |
0 |
0 |
152 |
2 |
3 |
19 |
527 |
| The ‘climate Kuznets curve’: A critique |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
2 |
| USING MODEL SELECTION ALGORITHMS TO OBTAIN RELIABLE COEFFICIENT ESTIMATES |
0 |
0 |
0 |
26 |
0 |
0 |
10 |
99 |
| What a Puzzle! Unravelling Why UK Phillips Curves were Unstable |
0 |
1 |
3 |
6 |
0 |
3 |
17 |
28 |
| Total Journal Articles |
4 |
12 |
49 |
1,282 |
26 |
91 |
778 |
5,467 |
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