| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel duopoly pricing |
1 |
1 |
2 |
19 |
5 |
7 |
13 |
61 |
| A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe |
1 |
1 |
2 |
24 |
1 |
3 |
7 |
53 |
| A Comparison of Time-Varying Parameter and Multiprocess Mixture Models in the Case of Money-Supply Announcements |
0 |
0 |
0 |
0 |
2 |
3 |
3 |
272 |
| A Comparison of Time-Varying Parameter and Multiprocess Mixture Models in the Case of Money-Supply Announcements: Errata |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
221 |
| A Comparison of the Forecasting Ability of ECM and VAR Models |
0 |
2 |
8 |
341 |
1 |
6 |
18 |
657 |
| A Mixture-Model Approach to Combining Forecasts |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
270 |
| A Monte Carlo Comparison of Time Varying Parameter and Multiprocess Mixture Models in the Presence of Structural Shifts and Outliers |
0 |
0 |
0 |
30 |
2 |
2 |
2 |
182 |
| A Regional Payroll Forecasting Model That Uses Bayesian Shrinkage Techniques for Data Pooling |
0 |
0 |
2 |
9 |
0 |
0 |
2 |
37 |
| A comparison of vector autoregressive forecasting performance: spatial versus non-spatial Bayesian priors |
0 |
0 |
0 |
15 |
1 |
2 |
7 |
55 |
| A cost-benefit analysis of a smoking cessation program |
0 |
0 |
0 |
119 |
0 |
0 |
0 |
311 |
| A matrix exponential spatial specification |
0 |
1 |
3 |
164 |
2 |
4 |
10 |
400 |
| A sampling approach to estimate the log determinant used in spatial likelihood problems |
0 |
0 |
1 |
100 |
4 |
4 |
6 |
196 |
| A space-time filter for panel data models containing random effects |
0 |
0 |
2 |
56 |
0 |
0 |
7 |
153 |
| A spatial Hausman test |
1 |
8 |
22 |
242 |
3 |
12 |
45 |
524 |
| A spatial dynamic panel model with random effects applied to commuting times |
0 |
1 |
3 |
148 |
0 |
2 |
9 |
314 |
| A spatial econometric panel data examination of endogenous versus exogenous interaction in Chinese province-level patenting |
1 |
1 |
3 |
22 |
3 |
4 |
13 |
71 |
| A spatial interaction model with spatially structured origin and destination effects |
0 |
0 |
0 |
20 |
2 |
3 |
7 |
77 |
| An Empirical Study of the Transnational Production Sharing of the Asian NICs with Japan |
0 |
0 |
0 |
16 |
1 |
1 |
1 |
120 |
| An Introduction to Spatial Econometrics |
4 |
10 |
23 |
112 |
12 |
27 |
72 |
337 |
| Analysis and Development of Leading Indicators Using a Bayesian Turning-Points Approach |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
92 |
| Analysis of spatial contiguity influences on state price level formation |
0 |
0 |
0 |
40 |
0 |
0 |
0 |
135 |
| Arc_Mat: a Matlab-based spatial data analysis toolbox |
0 |
0 |
3 |
312 |
3 |
6 |
13 |
918 |
| Assessing the accuracy of ANOVA calculations in statistical software |
0 |
0 |
0 |
44 |
0 |
0 |
2 |
214 |
| Bayesian Estimation of Spatial Autoregressive Models |
0 |
3 |
10 |
44 |
1 |
9 |
22 |
107 |
| Benchmarking numerical accuracy of statistical algorithms |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
55 |
| Changes in commuting to work times over the 1990 to 2000 period |
1 |
3 |
4 |
100 |
1 |
5 |
13 |
330 |
| Chebyshev approximation of log-determinants of spatial weight matrices |
1 |
1 |
3 |
94 |
2 |
5 |
12 |
240 |
| DETERMINANTS OF KNOWLEDGE PRODUCTION AND THEIR EFFECTS ON REGIONAL ECONOMIC GROWTH |
0 |
0 |
0 |
41 |
0 |
0 |
1 |
106 |
| Discussion: Applications and Innovations in Spatial Econometrics |
0 |
0 |
1 |
70 |
0 |
0 |
1 |
139 |
| Discussion: Applications and Innovations in Spatial Econometrics |
0 |
0 |
1 |
3 |
0 |
1 |
2 |
12 |
| Estimates of the Impact of Static and Dynamic Knowledge Spillovers on Regional Factor Productivity |
0 |
0 |
2 |
99 |
1 |
2 |
5 |
212 |
| Firm Innovation Strategies: a Spatial Cohort Multinomial Probit Approach |
0 |
0 |
1 |
12 |
1 |
2 |
5 |
24 |
| Forecasting spatially dependent origin and destination commodity flows |
0 |
1 |
1 |
15 |
0 |
3 |
7 |
48 |
| Geographical Integration and the Retail CD-Pricing Decisions of Large Depository Institutions |
0 |
0 |
0 |
29 |
1 |
1 |
1 |
199 |
| INTERPRETING SPATIAL ECONOMETRIC ORIGIN-DESTINATION FLOW MODELS |
1 |
1 |
5 |
48 |
2 |
2 |
12 |
133 |
| Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows |
0 |
0 |
1 |
91 |
0 |
1 |
4 |
237 |
| Incorporating regional wage relations in local forecasting models with a Bayesian prior |
0 |
0 |
0 |
19 |
0 |
1 |
2 |
53 |
| Interpretation and Computation of Estimates from Regression Models using Spatial Filtering |
0 |
1 |
1 |
31 |
2 |
3 |
5 |
67 |
| Interpreting heterogeneous coefficient spatial autoregressive panel models |
0 |
0 |
9 |
54 |
2 |
4 |
20 |
120 |
| Interregional Wage Transmission in an Urban Hierarchy: Tests Using Vector Autoregressive Models |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
12 |
| Knowledge spillovers across Europe: Evidence from a Poisson spatial interaction model with spatial effects* |
0 |
1 |
3 |
209 |
2 |
6 |
12 |
452 |
| Latent Multilateral Trade Resistance Indices: Theory and Evidence |
0 |
0 |
0 |
6 |
0 |
0 |
7 |
31 |
| Local versus Global Convergence in Europe: A Bayesian Spatial Econometric Approach |
1 |
1 |
6 |
58 |
3 |
5 |
19 |
212 |
| Models for Spatially Dependent Missing Data |
0 |
0 |
1 |
196 |
0 |
0 |
3 |
439 |
| New Orleans business recovery in the aftermath of Hurricane Katrina |
0 |
0 |
0 |
42 |
0 |
0 |
2 |
111 |
| Numerical accuracy of statistical algorithms for microcomputers |
0 |
0 |
0 |
12 |
1 |
1 |
1 |
36 |
| Peer‐group dependence in salary benchmarking: a statistical model |
0 |
0 |
0 |
23 |
0 |
1 |
1 |
121 |
| Perspectives on Spatial Data Analysis (volume in honor of Arthur Getis), edited by Luc Anselin and Sergio J. Rey |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
72 |
| Pitfalls in Higher Order Model Extensions of Basic Spatial Regression Methodology |
0 |
0 |
9 |
31 |
1 |
1 |
20 |
108 |
| QUANTIFYING KNOWLEDGE SPILLOVERS USING SPATIAL ECONOMETRIC MODELS |
0 |
0 |
0 |
0 |
1 |
4 |
12 |
173 |
| Regression Analysis of Spatial Data |
1 |
1 |
7 |
32 |
1 |
3 |
16 |
87 |
| Revisiting the question - Does corporate headquarters location matter for stock returns? |
0 |
0 |
0 |
10 |
0 |
1 |
3 |
81 |
| SOFTWARE FOR BAYESIAN SPATIAL MODEL COMPARISON |
0 |
0 |
4 |
60 |
2 |
4 |
19 |
142 |
| SPATIAL ECONOMETRIC MODELING OF ORIGIN‐DESTINATION FLOWS* |
0 |
0 |
15 |
312 |
3 |
5 |
39 |
718 |
| Simultaneous dependence between firm-level stock returns |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
39 |
| Software for Bayesian cross section and panel spatial model comparison |
0 |
0 |
6 |
29 |
3 |
5 |
24 |
89 |
| Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling |
0 |
0 |
1 |
114 |
2 |
2 |
5 |
276 |
| Spatial Growth Regressions: Model Specification, Estimation and Interpretation |
0 |
1 |
6 |
155 |
3 |
6 |
17 |
313 |
| Spatial Modeling of Agricultural Markets |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
10 |
| Spatial Statistics and Real Estate |
0 |
1 |
2 |
357 |
0 |
2 |
7 |
735 |
| Spatial dynamic panel data models with random effects |
1 |
1 |
8 |
119 |
1 |
3 |
27 |
327 |
| Spatial statistics: Methods, models & computation |
0 |
1 |
2 |
171 |
1 |
3 |
10 |
307 |
| Special Issue AES: Spatial Econometrics, Innovative Networks and Growth |
0 |
0 |
0 |
1 |
0 |
1 |
5 |
13 |
| System-theoretic methods in economic modelling I: Stefan Mittnik, ed., (Pergamon Press, Oxford, 1989), pp. 184, $39.50 |
0 |
0 |
0 |
23 |
0 |
1 |
2 |
114 |
| The Biggest Myth in Spatial Econometrics |
4 |
4 |
24 |
95 |
10 |
19 |
67 |
243 |
| The Impact of Migration on Social Capital: Do Migrants Take Their Bowling Balls with Them? |
0 |
0 |
3 |
53 |
0 |
3 |
6 |
99 |
| The dynamic relationship between export, local, and total area employment |
0 |
0 |
0 |
96 |
1 |
1 |
3 |
190 |
| The importance of modeling spatial spillovers in public choice analysis |
0 |
0 |
5 |
90 |
1 |
4 |
13 |
212 |
| The spatial autocorrelation problem in spatial interaction modelling: a comparison of two common solutions |
0 |
0 |
3 |
9 |
1 |
4 |
11 |
22 |
| Using Bayesian Techniques for Data Pooling in Regional Payroll Forecasting |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
276 |
| Using Bayesian posterior model probabilities to identify omitted variables in spatial regression models |
0 |
0 |
0 |
8 |
0 |
1 |
1 |
23 |
| Using Spatial Contiguity as Bayesian Prior Information in Regional Forecasting Models |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
23 |
| Using home buyers’ revealed preferences to define the urban–rural fringe |
0 |
0 |
0 |
22 |
1 |
3 |
3 |
122 |
| Using interindustry input-output relations as a Bayesian prior in employment forecasting models |
0 |
0 |
0 |
50 |
1 |
1 |
1 |
129 |
| Using spatial contiguity as prior information in vector autoregressive models |
0 |
0 |
0 |
45 |
0 |
1 |
1 |
133 |
| Using the variance structure of the conditional autoregressive spatial specification to model knowledge spillovers |
0 |
0 |
0 |
167 |
1 |
16 |
19 |
524 |
| What Regional Scientists Need to Know about Spatial Econometrics |
2 |
5 |
30 |
93 |
2 |
9 |
70 |
230 |
| Total Journal Articles |
20 |
51 |
248 |
5,306 |
98 |
245 |
808 |
14,996 |
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