| 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 |
0 |
0 |
1 |
24 |
0 |
0 |
4 |
91 |
| A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe |
0 |
0 |
0 |
24 |
0 |
2 |
6 |
75 |
| A Bayesian spatial panel model with heterogeneous coefficients |
0 |
1 |
3 |
21 |
0 |
1 |
7 |
79 |
| A Comparison of Time-Varying Parameter and Multiprocess Mixture Models in the Case of Money-Supply Announcements |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
276 |
| A Comparison of Time-Varying Parameter and Multiprocess Mixture Models in the Case of Money-Supply Announcements: Errata |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
224 |
| A Comparison of the Forecasting Ability of ECM and VAR Models |
0 |
0 |
4 |
357 |
0 |
4 |
12 |
698 |
| A Mixture-Model Approach to Combining Forecasts |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
289 |
| A Monte Carlo Comparison of Time Varying Parameter and Multiprocess Mixture Models in the Presence of Structural Shifts and Outliers |
0 |
0 |
0 |
31 |
0 |
0 |
1 |
188 |
| A Regional Payroll Forecasting Model That Uses Bayesian Shrinkage Techniques for Data Pooling |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
48 |
| A comparison of vector autoregressive forecasting performance: spatial versus non-spatial Bayesian priors |
0 |
0 |
0 |
18 |
0 |
0 |
1 |
64 |
| A cost-benefit analysis of a smoking cessation program |
1 |
1 |
1 |
120 |
1 |
1 |
3 |
317 |
| A heterogeneous coefficient approach to the knowledge production function |
0 |
0 |
2 |
8 |
0 |
1 |
9 |
32 |
| A matrix exponential spatial specification |
1 |
1 |
4 |
174 |
1 |
2 |
8 |
430 |
| A sampling approach to estimate the log determinant used in spatial likelihood problems |
1 |
2 |
5 |
110 |
2 |
4 |
12 |
227 |
| A space-time filter for panel data models containing random effects |
0 |
0 |
1 |
64 |
0 |
0 |
6 |
173 |
| A spatial Hausman test |
1 |
2 |
15 |
280 |
5 |
7 |
32 |
622 |
| A spatial dynamic panel model with random effects applied to commuting times |
0 |
0 |
1 |
156 |
0 |
3 |
5 |
349 |
| A spatial econometric panel data examination of endogenous versus exogenous interaction in Chinese province-level patenting |
0 |
0 |
0 |
25 |
0 |
0 |
2 |
94 |
| A spatial interaction model with spatially structured origin and destination effects |
0 |
0 |
1 |
25 |
0 |
0 |
2 |
100 |
| An Empirical Study of the Transnational Production Sharing of the Asian NICs with Japan |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
126 |
| An Introduction to Spatial Econometrics |
2 |
10 |
18 |
190 |
5 |
18 |
70 |
671 |
| Analysis and Development of Leading Indicators Using a Bayesian Turning-Points Approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
99 |
| Analysis of spatial contiguity influences on state price level formation |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
141 |
| Arc_Mat: a Matlab-based spatial data analysis toolbox |
0 |
0 |
2 |
322 |
1 |
1 |
3 |
954 |
| Assessing the accuracy of ANOVA calculations in statistical software |
0 |
0 |
0 |
46 |
0 |
0 |
0 |
223 |
| Bayesian Estimation of Spatial Autoregressive Models |
0 |
3 |
17 |
101 |
0 |
6 |
32 |
231 |
| Benchmarking numerical accuracy of statistical algorithms |
0 |
0 |
1 |
15 |
0 |
0 |
2 |
63 |
| Business Return in New Orleans: Decision Making Amid Post-Katrina Uncertainty |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
| Changes in commuting to work times over the 1990 to 2000 period |
1 |
1 |
7 |
123 |
1 |
1 |
10 |
382 |
| Chebyshev approximation of log-determinants of spatial weight matrices |
0 |
2 |
4 |
100 |
1 |
3 |
9 |
266 |
| Cross-sectional dependence model specifications in a static trade panel data setting |
0 |
0 |
0 |
1 |
2 |
3 |
6 |
18 |
| DETERMINANTS OF KNOWLEDGE PRODUCTION AND THEIR EFFECTS ON REGIONAL ECONOMIC GROWTH |
0 |
0 |
0 |
41 |
0 |
1 |
1 |
114 |
| Discussion: Applications and Innovations in Spatial Econometrics |
0 |
0 |
0 |
72 |
0 |
0 |
0 |
150 |
| Discussion: Applications and Innovations in Spatial Econometrics |
0 |
0 |
0 |
4 |
0 |
0 |
4 |
20 |
| Estimates of the Impact of Static and Dynamic Knowledge Spillovers on Regional Factor Productivity |
0 |
0 |
0 |
99 |
1 |
1 |
3 |
226 |
| Fast MCMC estimation of multiple W-matrix spatial regression models and Metropolis–Hastings Monte Carlo log-marginal likelihoods |
1 |
1 |
2 |
6 |
1 |
2 |
6 |
18 |
| Firm Innovation Strategies: a Spatial Cohort Multinomial Probit Approach |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
41 |
| Flexible dependence modeling using convex combinations of different types of connectivity structures |
0 |
0 |
1 |
21 |
0 |
0 |
5 |
93 |
| Forecasting spatially dependent origin and destination commodity flows |
0 |
1 |
1 |
17 |
0 |
2 |
4 |
60 |
| Geographical Integration and the Retail CD-Pricing Decisions of Large Depository Institutions |
0 |
0 |
0 |
29 |
0 |
0 |
1 |
204 |
| INTERPRETING SPATIAL ECONOMETRIC ORIGIN-DESTINATION FLOW MODELS |
0 |
0 |
2 |
61 |
0 |
0 |
4 |
166 |
| Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows |
0 |
0 |
2 |
93 |
0 |
1 |
4 |
248 |
| Incorporating regional wage relations in local forecasting models with a Bayesian prior |
0 |
1 |
1 |
21 |
0 |
1 |
1 |
57 |
| Interpretation and Computation of Estimates from Regression Models using Spatial Filtering |
0 |
0 |
0 |
36 |
1 |
1 |
4 |
84 |
| Interpreting heterogeneous coefficient spatial autoregressive panel models |
0 |
0 |
4 |
74 |
1 |
2 |
7 |
173 |
| Interpreting spatial regression models with multiplicative interaction explanatory variables |
1 |
2 |
7 |
8 |
2 |
4 |
16 |
21 |
| Interregional Wage Transmission in an Urban Hierarchy: Tests Using Vector Autoregressive Models |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
18 |
| Knowledge spillovers across Europe: Evidence from a Poisson spatial interaction model with spatial effects* |
0 |
1 |
1 |
215 |
0 |
1 |
4 |
485 |
| Large Bayesian vector autoregressive forecasting for regions: A comparison of methods based on alternative disturbance structures |
0 |
1 |
3 |
13 |
0 |
1 |
9 |
43 |
| Latent Multilateral Trade Resistance Indices: Theory and Evidence |
0 |
0 |
1 |
11 |
0 |
0 |
4 |
49 |
| Local versus Global Convergence in Europe: A Bayesian Spatial Econometric Approach |
0 |
0 |
0 |
67 |
2 |
4 |
12 |
272 |
| Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
16 |
| Models for Spatially Dependent Missing Data |
1 |
2 |
3 |
206 |
2 |
3 |
7 |
460 |
| Network dependence in multi-indexed data on international trade flows |
0 |
0 |
1 |
10 |
0 |
1 |
9 |
35 |
| New Orleans business recovery in the aftermath of Hurricane Katrina |
0 |
1 |
4 |
49 |
0 |
1 |
6 |
137 |
| Numerical accuracy of statistical algorithms for microcomputers |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
40 |
| Peer‐group dependence in salary benchmarking: a statistical model |
0 |
1 |
3 |
30 |
0 |
1 |
4 |
135 |
| 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 |
76 |
| Pitfalls in Higher Order Model Extensions of Basic Spatial Regression Methodology |
2 |
4 |
12 |
58 |
2 |
5 |
18 |
189 |
| Predictors of Business Return in New Orleans after Hurricane Katrina |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
| QUANTIFYING KNOWLEDGE SPILLOVERS USING SPATIAL ECONOMETRIC MODELS |
0 |
0 |
0 |
0 |
0 |
3 |
9 |
214 |
| Regression Analysis of Spatial Data |
0 |
0 |
4 |
57 |
1 |
3 |
12 |
155 |
| Revisiting the question - Does corporate headquarters location matter for stock returns? |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
84 |
| SOFTWARE FOR BAYESIAN SPATIAL MODEL COMPARISON |
0 |
0 |
0 |
63 |
0 |
0 |
4 |
172 |
| SPATIAL ECONOMETRIC MODELING OF ORIGIN‐DESTINATION FLOWS* |
0 |
1 |
18 |
377 |
1 |
3 |
51 |
867 |
| Simultaneous dependence between firm-level stock returns |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
44 |
| Software for Bayesian cross section and panel spatial model comparison |
0 |
0 |
1 |
38 |
0 |
0 |
2 |
123 |
| Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling |
0 |
0 |
0 |
114 |
0 |
0 |
0 |
290 |
| Spatial Econometrics: Statistical Foundations and Applications to Regional Convergence, by Giuseppe Arbia |
0 |
0 |
1 |
4 |
0 |
0 |
2 |
16 |
| Spatial Growth Regressions: Model Specification, Estimation and Interpretation |
0 |
0 |
1 |
176 |
3 |
4 |
11 |
390 |
| Spatial Modeling of Agricultural Markets |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
14 |
| Spatial Statistics and Real Estate |
0 |
0 |
1 |
362 |
0 |
0 |
1 |
752 |
| Spatial dynamic panel data models with random effects |
0 |
0 |
2 |
136 |
0 |
0 |
6 |
377 |
| Spatial econometric Monte Carlo studies: raising the bar |
0 |
0 |
3 |
10 |
0 |
0 |
5 |
37 |
| Spatial statistics: Methods, models & computation |
0 |
0 |
1 |
175 |
0 |
0 |
3 |
324 |
| Special Issue AES: Spatial Econometrics, Innovative Networks and Growth |
0 |
0 |
0 |
3 |
0 |
1 |
3 |
26 |
| Spillover effects in adoption of cash transfer programs by Latin American countries |
0 |
0 |
3 |
10 |
0 |
3 |
12 |
35 |
| System-theoretic methods in economic modelling I: Stefan Mittnik, ed., (Pergamon Press, Oxford, 1989), pp. 184, $39.50 |
0 |
0 |
0 |
23 |
0 |
0 |
2 |
118 |
| The Biggest Myth in Spatial Econometrics |
2 |
4 |
13 |
198 |
3 |
10 |
38 |
486 |
| The Impact of Migration on Social Capital: Do Migrants Take Their Bowling Balls with Them? |
1 |
2 |
4 |
61 |
1 |
2 |
6 |
117 |
| The dynamic relationship between export, local, and total area employment |
0 |
0 |
0 |
101 |
0 |
0 |
2 |
207 |
| The importance of modeling spatial spillovers in public choice analysis |
0 |
0 |
0 |
106 |
0 |
1 |
5 |
260 |
| The role of R&D collaboration networks on regional knowledge creation: Evidence from information and communication technologies |
0 |
0 |
0 |
9 |
0 |
1 |
3 |
49 |
| The spatial autocorrelation problem in spatial interaction modelling: a comparison of two common solutions |
0 |
0 |
0 |
19 |
0 |
1 |
1 |
52 |
| Use and interpretation of spatial autoregressive probit models |
3 |
10 |
31 |
73 |
5 |
19 |
99 |
255 |
| Using Bayesian Techniques for Data Pooling in Regional Payroll Forecasting |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
285 |
| Using Bayesian posterior model probabilities to identify omitted variables in spatial regression models |
0 |
0 |
1 |
10 |
0 |
0 |
1 |
33 |
| Using Spatial Contiguity as Bayesian Prior Information in Regional Forecasting Models |
0 |
0 |
1 |
5 |
0 |
0 |
2 |
35 |
| Using home buyers’ revealed preferences to define the urban–rural fringe |
0 |
0 |
0 |
22 |
0 |
2 |
4 |
129 |
| Using interindustry input-output relations as a Bayesian prior in employment forecasting models |
0 |
1 |
2 |
54 |
1 |
3 |
4 |
141 |
| Using spatial contiguity as prior information in vector autoregressive models |
0 |
0 |
3 |
49 |
0 |
0 |
4 |
145 |
| Using the variance structure of the conditional autoregressive spatial specification to model knowledge spillovers |
0 |
1 |
2 |
173 |
0 |
1 |
7 |
555 |
| What Regional Scientists Need to Know about Spatial Econometrics |
1 |
1 |
10 |
168 |
2 |
5 |
26 |
421 |
| Total Journal Articles |
19 |
58 |
237 |
6,299 |
48 |
152 |
709 |
18,394 |
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