Journal Article |
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Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Brief History of General‐to‐specific Modelling |
0 |
1 |
7 |
12 |
1 |
2 |
10 |
18 |
A DIALOGUE CONCERNING A NEW INSTRUMENT FOR ECONOMETRIC MODELING |
0 |
0 |
1 |
50 |
0 |
0 |
2 |
184 |
A Re-analysis of Confluence Analysis |
0 |
0 |
0 |
55 |
1 |
1 |
2 |
202 |
A comment on "Specification searches in spatial econometrics: The relevance of Hendry's methodology" |
0 |
0 |
1 |
41 |
1 |
1 |
5 |
134 |
A low-dimension portmanteau test for non-linearity |
0 |
0 |
0 |
49 |
0 |
0 |
0 |
181 |
A reply to Professors Maasoumi and Phillips |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
94 |
A special issue in memory of John Denis Sargan: studies in empirical macroeconometrics |
0 |
0 |
2 |
88 |
0 |
0 |
3 |
435 |
Achievements and challenges in econometric methodology |
0 |
0 |
0 |
64 |
0 |
0 |
0 |
222 |
An Econometric Analysis of U.K. Money Demand in 'Monetary Trends in the United States and the United Kingdom' by Milton Friedman and Anna Schwartz |
0 |
0 |
2 |
470 |
1 |
2 |
8 |
1,198 |
An Econometric Model of United Kingdom Building Societies |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
164 |
An Empirical Application and Monte Carlo Analysis of Tests of Dynamic Specification |
0 |
1 |
1 |
55 |
1 |
2 |
3 |
166 |
An Historical Perspective on Forecast Errors |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
An Historical Perspective on Forecast Errors |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
31 |
An Overview of Forecasting Facing Breaks |
1 |
1 |
1 |
15 |
2 |
3 |
5 |
90 |
An analogue model of phase-averaging procedures |
0 |
0 |
0 |
30 |
0 |
1 |
2 |
192 |
An econometric analysis of TV advertising expenditure in the United Kingdom |
0 |
0 |
1 |
168 |
0 |
1 |
2 |
390 |
An empirical study of seasonal unit roots in forecasting |
0 |
0 |
0 |
60 |
0 |
0 |
0 |
184 |
Analysing differences between scenarios |
0 |
0 |
3 |
3 |
0 |
0 |
4 |
7 |
Applied Econometrics without Sinning |
0 |
0 |
1 |
97 |
1 |
1 |
5 |
259 |
Automatic selection of indicators in a fully saturated regression |
0 |
0 |
3 |
107 |
0 |
4 |
9 |
354 |
Automatic selection of indicators in a fully saturated regression |
0 |
1 |
1 |
48 |
1 |
2 |
4 |
181 |
Autoreg: a computer program library for dynamic econometric models with autoregressive errors |
0 |
1 |
1 |
26 |
0 |
1 |
1 |
151 |
Can Econometrics Improve Economic Forecasting? |
0 |
0 |
1 |
73 |
0 |
0 |
5 |
207 |
Card forecasts for M4 |
0 |
0 |
1 |
4 |
0 |
0 |
2 |
43 |
Climate Econometrics: An Overview |
0 |
2 |
5 |
32 |
1 |
4 |
16 |
90 |
Co-Breaking: Recent Advances and a Synopsis of the Literature |
0 |
0 |
0 |
129 |
0 |
0 |
1 |
288 |
Cointegration tests in the presence of structural breaks |
0 |
1 |
2 |
281 |
0 |
1 |
7 |
695 |
Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate |
0 |
0 |
0 |
25 |
0 |
0 |
4 |
117 |
Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate |
0 |
0 |
0 |
81 |
0 |
1 |
6 |
401 |
Comment on "Excessive Ambitions" (by Jon Elster) |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
163 |
Common volatility shocks driven by the global carbon transition |
1 |
3 |
5 |
5 |
1 |
5 |
17 |
17 |
Computer automation of general-to-specific model selection procedures |
0 |
0 |
3 |
400 |
1 |
2 |
8 |
1,040 |
Consistent Model Selection by an Automatic Gets Approach* |
0 |
0 |
0 |
69 |
9 |
9 |
10 |
238 |
Constructing Historical Euro-Zone Data |
0 |
0 |
0 |
254 |
1 |
1 |
8 |
835 |
DETECTING VOLCANIC ERUPTIONS IN TEMPERATURE RECONSTRUCTIONS BY DESIGNED BREAK-INDICATOR SATURATION |
0 |
0 |
0 |
7 |
1 |
2 |
2 |
56 |
Deciding between alternative approaches in macroeconomics |
0 |
1 |
2 |
27 |
0 |
2 |
3 |
93 |
Detecting Location Shifts during Model Selection by Step-Indicator Saturation |
0 |
0 |
5 |
40 |
0 |
1 |
10 |
271 |
Distinguished Fellow of the Economic Society of Australia, 1999: Adrian R. Pagan |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
Econometric Evaluation of Linear Macro-Economic Models |
0 |
0 |
7 |
344 |
1 |
1 |
18 |
953 |
Econometric Modelling of Time Series with Outlying Observations |
1 |
1 |
1 |
54 |
1 |
2 |
2 |
279 |
Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom |
1 |
4 |
23 |
1,911 |
2 |
5 |
30 |
4,279 |
Econometric Modelling with Cointegrated Variables: An Overview |
0 |
0 |
0 |
4 |
1 |
1 |
8 |
1,200 |
Econometric Modelling: The "Consumption Function" in Retrospect |
0 |
0 |
0 |
0 |
1 |
1 |
5 |
638 |
Econometric Modelling: The ‘Consumption Function’ In Retrospect |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
67 |
Econometric analysis of small linear systems using PC-FIML |
0 |
0 |
0 |
50 |
0 |
0 |
0 |
183 |
Econometrics and Business Cycle Empirics |
0 |
0 |
1 |
119 |
1 |
1 |
2 |
312 |
Economic Forecasting in a Changing World |
0 |
0 |
1 |
90 |
0 |
0 |
1 |
199 |
Economic forecasting: some lessons from recent research |
0 |
0 |
4 |
223 |
1 |
1 |
9 |
554 |
Elusive return predictability: Discussion |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
70 |
Empirical Economic Model Discovery and Theory Evaluation |
1 |
1 |
1 |
32 |
2 |
2 |
4 |
236 |
Encompassing |
1 |
1 |
1 |
6 |
3 |
3 |
3 |
27 |
Encompassing |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
Encompassing and Specificity |
0 |
0 |
0 |
10 |
1 |
1 |
1 |
57 |
Encompassing and rational expectations: How sequential corroboration can imply refutation |
0 |
0 |
0 |
79 |
1 |
2 |
3 |
651 |
Encompassing in stationary linear dynamic models |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
91 |
Estimating Systems of Dynamic Reduced Form Equations with Vector Autoregressive Errors |
0 |
0 |
0 |
56 |
1 |
1 |
1 |
283 |
Evaluating Automatic Model Selection |
0 |
1 |
5 |
171 |
0 |
2 |
9 |
537 |
Evaluating Forecasts, Narratives and Policy Using a Test of Invariance |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
47 |
Evaluating a Model by Forecast Performance* |
0 |
0 |
0 |
88 |
0 |
0 |
1 |
284 |
Evaluating multi-step system forecasts with relatively few forecast-error observations |
0 |
0 |
0 |
6 |
1 |
1 |
1 |
55 |
Exogeneity |
2 |
6 |
28 |
1,568 |
7 |
17 |
61 |
5,210 |
Exogeneity, Cointegration, and Economic Policy Analysis |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
695 |
Exogeneity, causality, and co-breaking in economic policy analysis of a small econometric model of money in the UK |
0 |
0 |
0 |
367 |
0 |
0 |
1 |
991 |
Explaining Cointegration Analysis: Part 1 |
0 |
0 |
6 |
6 |
1 |
2 |
15 |
15 |
Explaining Cointegration Analysis: Part 1 |
1 |
3 |
25 |
494 |
8 |
11 |
50 |
1,379 |
Explaining Cointegration Analysis: Part II |
0 |
1 |
3 |
234 |
0 |
3 |
14 |
881 |
Explaining Cointegration Analysis: Part II |
0 |
0 |
3 |
3 |
1 |
1 |
5 |
5 |
Five sensitive intervention points to achieve climate neutrality by 2050, illustrated by the UK |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
3 |
Forecast Failure, Expectations Formation and the Lucas Critique |
0 |
0 |
1 |
8 |
1 |
1 |
2 |
46 |
Forecasting Facing Economic Shifts, Climate Change and Evolving Pandemics |
0 |
0 |
0 |
1 |
1 |
1 |
2 |
8 |
Forecasting Principles from Experience with Forecasting Competitions |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
35 |
Forecasting by factors, by variables, by both or neither? |
0 |
0 |
1 |
68 |
2 |
3 |
6 |
266 |
Forecasting economic processes |
0 |
0 |
0 |
91 |
2 |
2 |
2 |
245 |
Forecasting in Cointegration Systems |
0 |
0 |
0 |
379 |
0 |
1 |
2 |
749 |
Forecasting the UK top 1% income share in a shifting world |
0 |
0 |
1 |
1 |
3 |
3 |
5 |
5 |
Forecasting with difference-stationary and trend-stationary models |
0 |
0 |
0 |
29 |
0 |
1 |
3 |
1,739 |
Forecasting with equilibrium-correction models during structural breaks |
0 |
0 |
0 |
67 |
1 |
1 |
1 |
272 |
Forecasting: theory and practice |
1 |
4 |
18 |
49 |
7 |
26 |
148 |
293 |
Foreword |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
42 |
Foreword by the Editors |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
90 |
Friedman and Schwartz (1982) revisited: Assessing annual and phase-average models of money demand in the United Kingdom |
0 |
0 |
2 |
170 |
0 |
1 |
7 |
940 |
Guest Editors’ Introduction to Special Issue on Encompassing |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
61 |
Guest Editors’ Introduction: Information in Economic Forecasting |
0 |
1 |
1 |
61 |
1 |
2 |
2 |
180 |
Guest Editors’ Introduction: Model Selection and Evaluation in Econometrics |
0 |
0 |
0 |
16 |
1 |
1 |
2 |
79 |
HUS Revisited |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
205 |
Improving models and forecasts after equilibrium-mean shifts |
0 |
0 |
2 |
2 |
0 |
0 |
3 |
3 |
Improving on 'Data mining reconsidered' by K.D. Hoover and S.J. Perez |
0 |
0 |
0 |
0 |
1 |
3 |
5 |
629 |
In memory of Clive Granger: an advisory board member of the journal |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
86 |
Inference in Cointegrating Models: UK M1 Revisited |
0 |
0 |
0 |
11 |
2 |
2 |
2 |
53 |
Intercept Corrections and Structural Change |
1 |
1 |
2 |
263 |
5 |
5 |
12 |
858 |
Interpreting Long-run Equilibrium Solutions in Conventional Macro Models: A Comment |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
250 |
Interpreting econometric evidence: The behaviour of consumers' expenditure in the UK |
0 |
0 |
3 |
170 |
0 |
0 |
3 |
315 |
J. DENIS SARGAN AND THE ORIGINS OF LSE ECONOMETRIC METHODOLOGY |
0 |
0 |
2 |
50 |
0 |
0 |
3 |
102 |
John Denis Sargan |
0 |
0 |
1 |
11 |
0 |
0 |
1 |
119 |
Linear vs. Log‐linear Unit‐Root Specification: An Application of Mis‐specification Encompassing* |
0 |
0 |
1 |
54 |
0 |
0 |
7 |
267 |
Log Income vs. Linear Income: An Application of the Encompassing Principle* |
0 |
0 |
2 |
89 |
1 |
2 |
5 |
316 |
MODEL DISCOVERY AND TRYGVE HAAVELMO’S LEGACY |
0 |
0 |
1 |
23 |
3 |
3 |
6 |
71 |
Macro-economic Forecasting and Modelling |
0 |
0 |
0 |
138 |
0 |
0 |
0 |
439 |
Maximum Likelihood Estimation of Difference Equations with Moving Average Errors: A Simulation Study |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
154 |
Maximum Likelihood Estimation of Systems of Simultaneous Regression Equations with Errors Generated by a Vector Autoregressive Process |
0 |
0 |
1 |
137 |
0 |
1 |
3 |
645 |
Maximum Likelihood Estimation of Systems of Simultaneous Regression Equations with Errors Generated by a Vector Autoregressive Process: A Correction |
0 |
0 |
0 |
57 |
0 |
0 |
0 |
328 |
Misspecification Testing: Non-Invariance of Expectations Models of Inflation |
0 |
0 |
0 |
11 |
1 |
1 |
5 |
64 |
Model Selection in Equations with Many ‘Small’ Effects |
0 |
0 |
0 |
11 |
1 |
1 |
1 |
79 |
Model formulation to simplify selection when specification is uncertain |
0 |
0 |
0 |
15 |
1 |
1 |
1 |
68 |
Model selection in under-specified equations facing breaks |
0 |
0 |
0 |
24 |
1 |
1 |
1 |
114 |
Model selection when there are multiple breaks |
1 |
1 |
2 |
45 |
2 |
4 |
8 |
180 |
Modeling and forecasting the COVID‐19 pandemic time‐series data |
1 |
1 |
1 |
2 |
1 |
1 |
1 |
17 |
Modeling the demand for narrow money in the United Kingdom and the United States |
0 |
0 |
4 |
395 |
1 |
2 |
11 |
923 |
Modelling Linear Dynamic Econometric Systems |
0 |
0 |
0 |
0 |
3 |
3 |
5 |
837 |
Modelling UK inflation, 1875-1991 |
1 |
1 |
3 |
811 |
1 |
2 |
5 |
2,100 |
Modelling methodology and forecast failure |
0 |
0 |
0 |
105 |
1 |
1 |
1 |
379 |
Modelling non-stationary ‘Big Data’ |
0 |
0 |
1 |
7 |
0 |
1 |
3 |
28 |
Monetary Economic Myth and Econometric Reality |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
332 |
Monte Carlo methodology and the small sample behaviour of ordinary and two-stage least squares |
0 |
0 |
0 |
44 |
0 |
0 |
1 |
143 |
Multi-step Estimation for Forecasting |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
358 |
NOWCASTING IS NOT JUST CONTEMPORANEOUS FORECASTING |
0 |
0 |
3 |
80 |
1 |
1 |
6 |
201 |
Non-parametric direct multi-step estimation for forecasting economic processes |
0 |
0 |
4 |
87 |
1 |
3 |
10 |
269 |
Nowcasting from disaggregates in the face of location shifts |
0 |
0 |
0 |
76 |
0 |
1 |
2 |
185 |
Nowcasting is not Just Contemporaneous Forecasting |
0 |
0 |
2 |
5 |
0 |
0 |
2 |
11 |
Obituary: Jan Tinbergen, 1903–94 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
On High and Low R2 Contributions |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
276 |
On Keynesian Model Building and the Rational Expectations Critique: A Question of Methodology |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
221 |
On adding over-identifying instrumental variables to simultaneous equations |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
66 |
On congruent econometric relations: A comment |
0 |
0 |
0 |
30 |
0 |
0 |
1 |
154 |
On detectable and non-detectable structural change |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
231 |
On the formulation of empirical models in dynamic econometrics |
0 |
0 |
4 |
256 |
0 |
1 |
12 |
557 |
On winning forecasting competitions in economics |
0 |
0 |
0 |
201 |
0 |
0 |
0 |
770 |
Outliers and Model Selection: Discussion of the Paper by Søren Johansen and Bent Nielsen |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
37 |
Pooling of forecasts |
0 |
0 |
0 |
304 |
1 |
4 |
19 |
864 |
Professor Sir Clive W.J. Granger and Cointegration |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
64 |
Reconstructing Aggregate Euro‐zone Data |
0 |
0 |
0 |
16 |
1 |
1 |
1 |
66 |
Reformulating Empirical Macroeconomic Modelling |
0 |
0 |
0 |
2 |
2 |
2 |
3 |
240 |
Regression Models with Data‐based Indicator Variables |
0 |
0 |
1 |
102 |
1 |
1 |
2 |
724 |
Retrospective on ‘Econometric Modelling: The Consumption Function in Retrospect’, Scottish Journal of Political Economy, 30 (1983), 193–220' |
1 |
1 |
1 |
14 |
1 |
2 |
2 |
46 |
Revisiting UK consumers' expenditure: cointegration, breaks and robust forecasts |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
78 |
Robust Discovery of Regression Models |
1 |
1 |
2 |
4 |
2 |
2 |
5 |
9 |
Robust approaches to forecasting |
1 |
1 |
3 |
60 |
2 |
2 |
6 |
144 |
Robustifying forecasts from equilibrium-correction systems |
0 |
0 |
1 |
59 |
0 |
0 |
4 |
167 |
SURVEY OF STUDENT INCOME AND EXPENDITURE AT ABERDEEN UNIVERSITY 1963-64 AND 1964-65 |
0 |
0 |
1 |
8 |
1 |
1 |
2 |
32 |
Saturation in Autoregressive Models |
0 |
1 |
1 |
78 |
0 |
1 |
1 |
194 |
Selecting a Model for Forecasting |
0 |
0 |
2 |
19 |
0 |
1 |
6 |
50 |
Serial Correlation as a Convenient Simplification, not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England |
1 |
2 |
9 |
602 |
2 |
3 |
14 |
1,420 |
Short-term forecasting of the coronavirus pandemic |
0 |
0 |
0 |
4 |
0 |
1 |
3 |
11 |
Small-Sample Properties of ARCH Estimators and Tests |
0 |
0 |
0 |
55 |
0 |
0 |
2 |
394 |
Stochastic Specification in an Aggregate Demand Model of the United Kingdom |
0 |
0 |
0 |
45 |
0 |
0 |
1 |
220 |
THE VALUE OF ROBUST STATISTICAL FORECASTS IN THE COVID-19 PANDEMIC |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
19 |
Testing Integration and Cointegration: An Overview |
0 |
0 |
0 |
2 |
4 |
6 |
11 |
768 |
Testing superexogeneity and invariance in regression models |
0 |
0 |
1 |
269 |
0 |
2 |
7 |
548 |
The Demand for Broad Money in the United Kingdom, 1878–1993 |
0 |
0 |
0 |
94 |
0 |
0 |
2 |
340 |
The Demand for M1 in the U.S.A., 1960–1988 |
0 |
1 |
4 |
322 |
2 |
5 |
9 |
800 |
The Demand for M1 in the USA: A Reply |
0 |
0 |
0 |
53 |
1 |
1 |
1 |
206 |
The Econometric Analysis of Economic Policy |
0 |
0 |
0 |
2 |
0 |
3 |
6 |
375 |
The Econometrics of Macroeconomic Forecasting |
1 |
1 |
1 |
224 |
2 |
2 |
2 |
635 |
The Encompassing Implications of Feedback versus Feedforward Mechanisms in Econometrics |
0 |
0 |
0 |
83 |
1 |
1 |
2 |
858 |
The Implications for Econometric Modelling of Forecast Failure |
0 |
0 |
1 |
5 |
0 |
0 |
1 |
14 |
The Nobel Memorial Prize for Clive W. J. Granger |
0 |
1 |
1 |
80 |
0 |
1 |
1 |
223 |
The Properties of Automatic "GETS" Modelling |
0 |
0 |
0 |
282 |
2 |
4 |
9 |
812 |
The Properties of Autoregressive Instrumental Variables Estimators in Dynamic Systems |
0 |
0 |
0 |
30 |
1 |
1 |
1 |
236 |
The behaviour of inconsistent instrumental variables estimators in dynamic systems with autocorrelated errors |
0 |
0 |
0 |
23 |
0 |
1 |
2 |
70 |
The future of macroeconomics: macro theory and models at the Bank of England |
1 |
2 |
5 |
61 |
4 |
6 |
27 |
212 |
The historical role of energy in UK inflation and productivity with implications for price inflation |
0 |
0 |
1 |
1 |
0 |
0 |
1 |
2 |
The impact of integrated measurement errors on modeling long-run macroeconomic time series |
0 |
0 |
1 |
3 |
2 |
2 |
4 |
29 |
The long-run determinants of UK wages, 1860-2004 |
0 |
0 |
2 |
152 |
0 |
0 |
5 |
507 |
The response of consumption to income: A cross-country investigation: by John Y. Campbell and N. Gregory Mankiw |
0 |
0 |
2 |
98 |
0 |
0 |
5 |
223 |
The structure of simultaneous equations estimators |
0 |
2 |
3 |
43 |
0 |
2 |
5 |
121 |
Unpredictability in economic analysis, econometric modeling and forecasting |
0 |
0 |
0 |
77 |
1 |
1 |
7 |
256 |
Using PC-GIVE in Econometrics Teaching |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
880 |
Using PC-NAIVE in Teaching Econometrics |
0 |
0 |
0 |
2 |
2 |
2 |
2 |
205 |
We Ran One Regression |
0 |
0 |
1 |
197 |
1 |
1 |
6 |
671 |
What a Puzzle! Unravelling Why UK Phillips Curves were Unstable |
0 |
0 |
1 |
1 |
1 |
3 |
8 |
8 |
Total Journal Articles |
20 |
52 |
266 |
16,823 |
145 |
262 |
932 |
61,817 |