Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Time-Space Dynamic Panel Data Model with Spatial Moving Average Errors |
0 |
0 |
0 |
70 |
0 |
0 |
4 |
80 |
A Time-Space Dynamic Panel Data Model with Spatial Moving Average Errors |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
91 |
A multidimensional spatial lag panel data model with spatial moving average nested random effects errors |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
33 |
Analysing the Impact of Public Capital Stock Using the NEG Wage Equation: A Panel Data Approach |
0 |
0 |
0 |
78 |
0 |
0 |
0 |
272 |
Analysing the impact of public capital stock using the NEG wage equation: a panel data approach |
0 |
0 |
0 |
59 |
0 |
0 |
1 |
226 |
Analysing the impact of public capital stock using the NEG wage equation: a panel data approach |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
58 |
Analysing the impact of public capital stock using the NEG wage equation: a panel data approach |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
48 |
Economic Geography with Spatial Econometrics: a 'Third Way' to Analyse Economic Development and 'Equilibrium', with Application to the EU Regions |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
690 |
Economic shocks and growth: spatio-temporal perspectives on Europe's economies in a time of crisis |
0 |
0 |
0 |
60 |
0 |
0 |
3 |
137 |
Estimating and Forecasting With A Dynamic Spatial Panel Data Model |
0 |
0 |
0 |
127 |
1 |
1 |
1 |
266 |
Estimating and Forecasting with a Dynamic Spatial Panel Data Model |
0 |
0 |
0 |
724 |
1 |
1 |
3 |
1,596 |
Estimating and forecasting with a dynamic spatial panel data model |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
77 |
Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: finite sample properties |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
55 |
Explaining the distribution of manufacturing productivity in the EU regions |
0 |
0 |
0 |
234 |
0 |
0 |
1 |
391 |
Exploring Brexit with dynamic spatial panel models: some possible outcomes for employment across the EU regions |
0 |
0 |
0 |
97 |
1 |
1 |
3 |
92 |
Finite sample properties of estimators of spatial models with autoregressive, or moving average, disturbances and system feedback |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
24 |
Globalisation and Wage Differentials: A Spatial Analysis |
0 |
0 |
0 |
165 |
0 |
0 |
2 |
418 |
Implications of Rising Flood Risk for Residential Real Estate Prices and the Location of Employment |
0 |
0 |
1 |
15 |
2 |
3 |
5 |
38 |
Multilevel Modelling with Spatial Effects |
0 |
0 |
1 |
109 |
0 |
1 |
3 |
174 |
Multilevel Modelling with Spatial Effects |
0 |
0 |
0 |
743 |
1 |
1 |
8 |
1,498 |
Neoclassical Theory versus New Economic Geography. Competing explanations of cross-regional variation in economic development |
0 |
0 |
1 |
10 |
1 |
1 |
5 |
134 |
On the road to prosperity ? The economic geography of China's national expressway network |
0 |
0 |
0 |
229 |
0 |
0 |
0 |
704 |
Panel data models with spatially dependent nested random effects |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
Panel data models with spatially nested random effects |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
13 |
Predicting the Geography of House Prices |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
154 |
Predicting the Geography of House Prices |
0 |
0 |
1 |
100 |
0 |
0 |
1 |
184 |
Predicting the geography of house prices |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
28 |
Prediction Using Panel Data Regression with Spatial Random Effects |
0 |
0 |
0 |
199 |
0 |
0 |
0 |
666 |
Prediction using panel data regression with spatial random effects |
0 |
0 |
1 |
9 |
0 |
0 |
1 |
38 |
Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
57 |
Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain |
0 |
0 |
0 |
109 |
1 |
2 |
2 |
255 |
Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain |
0 |
0 |
0 |
40 |
0 |
1 |
2 |
85 |
Simulating Wages and House Prices Using the NEG |
0 |
0 |
0 |
57 |
0 |
0 |
0 |
160 |
Simulating Wages and House Prices Using the NEG |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
17 |
Simulating Wages and House Prices Using the NEG* |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
143 |
Simulating the impact of transport infrastructure investment on wages: a dynamic spatial panel model approach |
0 |
1 |
1 |
30 |
0 |
2 |
4 |
55 |
Simulating wages and house prices using the NEG |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
22 |
Spatial Lag Models with Nested Random Effects: An Instrumental Variable Procedure with an Application to English House Prices |
0 |
0 |
1 |
46 |
0 |
1 |
3 |
175 |
Testing the 'new economic geography': a comparative analysis based on EU regional data |
0 |
0 |
1 |
510 |
0 |
0 |
3 |
867 |
Testing the NEG Model: Further Evidence from Panel Data |
0 |
0 |
0 |
102 |
0 |
0 |
0 |
576 |
Testing the NEG model: further evidence from panel data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
18 |
The Effects of Agglomeration on Wages: Evidence from the Micro-Level |
0 |
0 |
0 |
114 |
0 |
0 |
4 |
256 |
The W Matrix in Network and Spatial Econometrics: Issues Relating to Specification and Estimation |
0 |
0 |
0 |
108 |
0 |
0 |
0 |
169 |
The effects of agglomeration on wages: evidence from the micro-level |
0 |
0 |
0 |
66 |
1 |
1 |
5 |
167 |
The effects of agglomeration on wages: evidence from the micro-level |
0 |
0 |
0 |
34 |
0 |
0 |
1 |
64 |
The effects of agglomeration on wages: evidence from the micro-level |
0 |
0 |
1 |
3 |
0 |
0 |
1 |
39 |
The new economic geography versus urban economics: an evaluation using local wage rates in Great Britain |
0 |
0 |
0 |
291 |
0 |
0 |
1 |
733 |
Urban Employment Growth: Evidence From Great Britain 1981-2001 |
0 |
0 |
0 |
112 |
0 |
0 |
0 |
430 |
Where is the Economics in Spatial Econometrics? |
0 |
1 |
1 |
662 |
9 |
11 |
13 |
1,440 |
Where is the Economics in Spatial Econometrics? |
0 |
0 |
1 |
213 |
0 |
0 |
6 |
413 |
Where is the economics in spatial econometrics? |
0 |
0 |
1 |
13 |
1 |
1 |
3 |
77 |
Where is the economics in spatial econometrics? |
0 |
0 |
0 |
127 |
1 |
2 |
11 |
315 |
Total Working Papers |
0 |
2 |
12 |
5,823 |
20 |
30 |
109 |
14,733 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors |
0 |
0 |
0 |
129 |
0 |
0 |
1 |
333 |
A cross‐sectional analysis of residential property prices: the effects of income, commuting, schooling, the housing stock and spatial interaction in the English regions* |
0 |
0 |
0 |
69 |
0 |
0 |
1 |
178 |
A generalized method of moments estimator for a spatial model with moving average errors, with application to real estate prices |
0 |
0 |
1 |
98 |
0 |
0 |
6 |
208 |
A multi-equation spatial econometric model, with application to EU manufacturing productivity growth |
0 |
1 |
1 |
120 |
0 |
1 |
1 |
274 |
A multidimensional spatial lag panel data model with spatial moving average nested random effects errors |
0 |
0 |
0 |
3 |
0 |
1 |
3 |
45 |
A time-space dynamic panel data model with spatial moving average errors |
0 |
0 |
1 |
19 |
0 |
1 |
3 |
73 |
ANALYZING THE IMPACT OF PUBLIC CAPITAL STOCK USING THE NEG WAGE EQUATION: A SPATIAL PANEL DATA APPROACH |
0 |
0 |
0 |
15 |
0 |
1 |
1 |
38 |
Beyond neoclassical orthodoxy: A view based on the new economic geography and UK regional wage data |
0 |
0 |
0 |
55 |
0 |
0 |
1 |
297 |
Bootstrap Inference in Spatial Econometrics: the J-test |
0 |
0 |
0 |
81 |
0 |
0 |
3 |
387 |
Bootstrap J -Test for Panel Data Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables |
0 |
0 |
1 |
4 |
0 |
0 |
1 |
16 |
Cluster Dynamics: New Evidence and Projections for Computing Services in Great Britain* |
0 |
0 |
2 |
63 |
0 |
1 |
3 |
151 |
Competing models of global dynamics: Evidence from panel models with spatially correlated error components |
0 |
0 |
0 |
58 |
0 |
0 |
1 |
146 |
Contemporary developments in spatial econometrics modelling: the 14th International Workshop on Spatial Econometrics and Statistics, Paris 2015 |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
12 |
Convergence: International comparisons based on a simultaneous equation model with regional effects |
0 |
0 |
1 |
90 |
0 |
0 |
2 |
194 |
Economic shocks and growth: Spatio-temporal perspectives on Europe's economies in a time of crisis |
0 |
0 |
0 |
18 |
0 |
0 |
2 |
56 |
Editorial |
0 |
0 |
0 |
14 |
1 |
1 |
1 |
73 |
Editorial |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
78 |
Editorial |
0 |
0 |
0 |
7 |
1 |
2 |
2 |
102 |
Editorial |
0 |
0 |
0 |
7 |
1 |
1 |
1 |
99 |
Editorial |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
27 |
Editorial |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
86 |
Editorial |
0 |
0 |
0 |
6 |
1 |
1 |
1 |
41 |
Editorial |
0 |
0 |
0 |
1 |
1 |
1 |
2 |
27 |
Editorial |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
29 |
Editorial |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
89 |
Editorial |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
47 |
Editorial |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
41 |
Editorial |
0 |
0 |
0 |
2 |
1 |
3 |
4 |
54 |
Editorial |
0 |
0 |
0 |
2 |
1 |
1 |
1 |
108 |
Editorial |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
175 |
Editorial |
0 |
0 |
0 |
6 |
1 |
1 |
1 |
58 |
Editorial |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
33 |
Editorial |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
39 |
Editorial |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
65 |
Editorial |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
32 |
Editorial |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
81 |
Editorial |
0 |
0 |
0 |
15 |
1 |
1 |
1 |
74 |
Editorial |
0 |
0 |
0 |
4 |
1 |
1 |
1 |
91 |
Editorial |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
38 |
Editorial |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
35 |
Editorial |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
91 |
Editorial |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
64 |
Editorial: Of journals, oil tankers and citation impacts: Signing-off the editorship of Regional Studies |
0 |
0 |
0 |
20 |
1 |
1 |
1 |
96 |
Empirical growth models with spatial effects* |
0 |
2 |
7 |
184 |
0 |
2 |
11 |
428 |
Employment Growth of Small High-technology Firms and the Role of Horizontal Clustering: Evidence from Computing Services and R&D in Great Britain, 1991-2000 |
0 |
1 |
1 |
2 |
0 |
1 |
1 |
18 |
Employment Resilience in Europe and the 2008 Economic Crisis: Insights from Micro-Level Data |
0 |
2 |
5 |
46 |
1 |
7 |
20 |
138 |
Endogeneité et autocorrélation spatiale: quelle utilité pour le modèle de Durbin ? |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
68 |
Endogeneité et autocorrélation spatiale: quelle utilité pour le modèle de Durbin ? |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
38 |
Equilibrium and Economic Growth: Spatial Econometric Models and Simulations |
0 |
0 |
0 |
286 |
0 |
0 |
6 |
715 |
Estimates of Time to Economic Convergence: An Analysis of Regions of the European Union |
1 |
1 |
1 |
38 |
1 |
1 |
3 |
80 |
Estimating and Forecasting with a Dynamic Spatial Panel Data Model |
0 |
0 |
2 |
60 |
0 |
1 |
7 |
182 |
Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties* |
0 |
1 |
9 |
316 |
2 |
5 |
21 |
685 |
Estimating the local employment impacts of immigration: A dynamic spatial panel model |
0 |
0 |
2 |
4 |
0 |
1 |
5 |
21 |
Evaluating China's road to prosperity: A new economic geography approach |
0 |
1 |
6 |
179 |
0 |
1 |
12 |
661 |
Exploring Brexit with dynamic spatial panel models: some possible outcomes for employment across the EU regions |
0 |
1 |
1 |
7 |
0 |
1 |
3 |
38 |
Externalities, Economic Geography, And Spatial Econometrics: Conceptual And Modeling Developments |
0 |
0 |
1 |
31 |
0 |
0 |
1 |
69 |
Finite Sample Properties of Estimators of Spatial Models with Autoregressive, or Moving Average, Disturbances and System Feedback |
0 |
1 |
2 |
11 |
0 |
1 |
3 |
45 |
Forecasting with dynamic spatial panel data: practical implementation methods |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
52 |
GLOBALISATION AND WAGE DIFFERENTIALS: A SPATIAL ANALYSIS |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
56 |
Housing Supply, Housing Demand, and Affordability |
0 |
0 |
1 |
31 |
0 |
1 |
9 |
97 |
Housing affordability: Is new local supply the key? |
0 |
0 |
2 |
13 |
0 |
0 |
2 |
42 |
INDUSTRIAL LOCATION AND POLICY: A SPATIAL STATISTICAL ANALYSIS |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
Implications of rising flood-risk for employment location: a GMM spatial model with agglomeration and endogenous house price effects |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
29 |
Increasing Returns and Economic Growth: Some Evidence for Manufacturing from the European Union Regions |
0 |
0 |
0 |
5 |
0 |
1 |
4 |
692 |
Increasing Returns and Economic Growth: Some Evidence for Manufacturing from the European Union Regions: A Correction |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
365 |
Increasing returns: evidence from local wage rates in Great Britain |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
298 |
Independence, Stationarity, Categorical Spatial Data and the Chi-Squared Test |
0 |
0 |
1 |
44 |
0 |
0 |
1 |
156 |
Italexit, is it another Brexit? |
0 |
0 |
0 |
11 |
0 |
0 |
1 |
95 |
Log-Linear Modelling of Geographical Contingency Tables |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
51 |
Log-Linear Models with Dependent Spatial Data |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
93 |
MULTILEVEL AND SPILLOVER EFFECTS ESTIMATED FOR SPATIAL PANEL DATA, WITH APPLICATION TO ENGLISH HOUSE PRICES |
0 |
1 |
2 |
47 |
0 |
1 |
5 |
125 |
Measurement errors in a spatial context |
0 |
0 |
1 |
43 |
0 |
0 |
2 |
139 |
Modifying the linear two-step Windmeijer correction for the presence of spatial error dependence |
0 |
0 |
3 |
6 |
1 |
2 |
10 |
25 |
Neoclassical theory versus new economic geography: competing explanations of cross-regional variation in economic development |
0 |
0 |
0 |
218 |
0 |
0 |
2 |
692 |
Network Relations and Local Economic Development: Some Causes of Differentiated Network Structures and Intensities among Turkish Industrial Firms |
0 |
0 |
0 |
12 |
0 |
1 |
1 |
57 |
New spatial econometric techniques and applications in regional science |
0 |
0 |
0 |
114 |
0 |
0 |
1 |
208 |
PANEL DATA MODELS WITH SPATIALLY DEPENDENT NESTED RANDOM EFFECTS |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
19 |
Prediction Using Panel Data Regression with Spatial Random Effects |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
45 |
RECESSIONARY SHOCKS AND REGIONAL EMPLOYMENT: EVIDENCE ON THE RESILIENCE OF U.K. REGIONS |
2 |
2 |
4 |
117 |
5 |
7 |
18 |
318 |
REGIONAL DISPARITIES IN LABOUR PRODUCTIVITY AND THE ROLE OF CAPITAL STOCK |
0 |
0 |
3 |
7 |
0 |
0 |
3 |
13 |
Raising the Bar (3) |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
24 |
Raising the bar (1) |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
23 |
Raising the bar (2) |
0 |
0 |
0 |
8 |
1 |
2 |
2 |
39 |
Raising the bar (4) |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
19 |
Raising the bar (5) |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
23 |
Raising the bar (6) |
0 |
0 |
0 |
1 |
1 |
1 |
2 |
23 |
Raising the bar (7) |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
35 |
Raising the bar (8) |
0 |
0 |
0 |
4 |
1 |
1 |
2 |
28 |
Raising the bar (9) |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
18 |
Regional Science in a time of uncertainty |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
18 |
Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain |
0 |
0 |
1 |
28 |
0 |
1 |
4 |
97 |
Resilience from the micro perspective |
0 |
0 |
1 |
30 |
0 |
1 |
3 |
78 |
Shocking aspects of monetary union: the vulnerability of regions in Euroland |
0 |
0 |
1 |
29 |
1 |
1 |
2 |
80 |
Simulating the impact of transport infrastructure investment on wages: A dynamic spatial panel model approach |
0 |
1 |
2 |
16 |
1 |
2 |
8 |
90 |
Some alternative geo-economics for Europe's regions |
0 |
0 |
0 |
137 |
0 |
0 |
0 |
459 |
Spatial Econometrics, Economic Geography, Dynamics and Equilibrium: A ‘Third Way’? |
0 |
0 |
0 |
58 |
0 |
0 |
0 |
127 |
Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices |
0 |
0 |
1 |
77 |
0 |
0 |
1 |
254 |
Spatial panel data estimation, counterfactual predictions, and local economic resilience among British towns in the Victorian era |
0 |
0 |
4 |
94 |
0 |
1 |
10 |
292 |
Specification and Testing of Markov Chain Models: An Application to Convergence in the European Union |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
676 |
TESTING THE NEG MODEL: FURTHER EVIDENCE FROM PANEL DATA |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
103 |
THE EFFECTS OF AGGLOMERATION ON WAGES: EVIDENCE FROM THE MICRO-LEVEL |
0 |
0 |
2 |
15 |
0 |
0 |
8 |
79 |
THE WAGE CURVE RECONSIDERED: IS IT TRULY AN 'EMPIRICAL LAW OF ECONOMICS'? |
0 |
0 |
0 |
19 |
1 |
1 |
5 |
106 |
The Location of Employment in High-technology Manufacturing in Great Britain |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
12 |
The Location of High-technology Manufacturing in Great Britain: Changes in the Late 1980s |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
14 |
The Regional Agglomeration Impact of Just-in-Time Input Linkages: Evidence from the Scottish Electronics Industry |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
263 |
The empirical performance of the NEG with reference to small areas |
0 |
0 |
0 |
74 |
0 |
0 |
0 |
151 |
The new economic geography versus urban economics: an evaluation using local wage rates in Great Britain |
0 |
0 |
0 |
240 |
0 |
0 |
1 |
565 |
Towards applied geographical economics: modelling relative wage rates, incomes and prices for the regions of Great Britain |
1 |
1 |
1 |
70 |
1 |
1 |
1 |
236 |
US Metropolitan Area Resilience: Insights from dynamic spatial panel estimation |
2 |
2 |
13 |
65 |
6 |
10 |
48 |
187 |
WHERE IS THE ECONOMICS IN SPATIAL ECONOMETRICS? |
0 |
0 |
3 |
130 |
0 |
0 |
10 |
368 |
We Move into Distinguished Company |
0 |
0 |
0 |
38 |
2 |
2 |
2 |
143 |
Total Journal Articles |
6 |
18 |
90 |
4,084 |
45 |
87 |
334 |
15,765 |