Spelling suggestions: "subject:"JEL 818, 151, 111"" "subject:"JEL 818, 151, 1911""
1 |
Spatial regression-based model specifications for exogenous and endogenous spatial interactionLeSage, James P., Fischer, Manfred M. 03 September 2014 (has links) (PDF)
Spatial interaction models represent a class of models that are used for modeling origin destination flow data. The interest in such models is motivated by the need to understand and explain the flows of tangible entities such as persons or commodities or intangible ones such as capital, information or knowledge between regions. The focus here is on the log-normal version of the model. In this context, we consider spatial econometric specifications
that can be used to accommodate two types of dependence scenarios, one involving endogenous interaction and the other exogenous interaction. These model specifications replace the conventional assumption of independence between origin-destination-flows with formal approaches that allow for two different types of spatial dependence in
flow magnitudes. (authors' abstract) / Series: Working Papers in Regional Science
|
2 |
Cross-sectional dependence model specifications in a static trade panel data settingLeSage, James, Fischer, Manfred M. 25 March 2019 (has links) (PDF)
The focus is on cross-sectional dependence in panel trade flow models. We propose alternative
specifications for modeling time invariant factors such as socio-cultural indicator variables,
e.g., common language and currency. These are typically treated as a source of heterogeneity
eliminated using fixed effects transformations, but we find evidence of cross-sectional dependence
after eliminating country-specific and time-specific effects. These findings suggest use of
alternative simultaneous dependence model specifications that accommodate cross-sectional dependence,
which we set forth along with Bayesian estimation methods. Ignoring cross-sectional
dependence implies biased estimates from panel trade flow models that rely on fixed effects. / Series: Working Papers in Regional Science
|
3 |
The role of socio-cultural factors in static trade panel modelsFischer, Manfred M., LeSage, James P. 17 May 2018 (has links) (PDF)
The focus is on cross-sectional dependence in panel trade
flow models. We propose alternative
specifications for modeling time invariant factors such as socio-cultural indicator variables, e.g.,
common language and currency. These are typically treated as a source of heterogeneity eliminated using fixed effects transformations, but we find evidence of cross-sectional dependence after eliminating country-specific effects. These findings suggest use of alternative simultaneous dependence model specifications that accommodate cross-sectional dependence, which we set forth along with Bayesian estimation methods. Ignoring cross-sectional dependence implies biased estimates from panel trade flow models that rely on fixed effects. / Series: Working Papers in Regional Science
|
4 |
Cross-sectional dependence model specifications in a static trade panel data settingLeSage, James P., Fischer, Manfred M. January 2017 (has links) (PDF)
The focus is on cross-sectional dependence in panel trade
flow models. We propose alternative
specifications for modeling time invariant factors such as socio-cultural indicator variables, e.g.,
common language and currency. These are typically treated as a source of heterogeneity eliminated
using fixed effects transformations, but we find evidence of cross-sectional dependence
after eliminating country-specific effects. These findings suggest use of alternative simultaneous
dependence model specifications that accommodate cross-sectional dependence, which we
set forth along with Bayesian estimation methods. Ignoring cross-sectional dependence implies
biased estimates from panel trade flow models that rely on fixed effects. / Series: Working Papers in Regional Science
|
Page generated in 0.1367 seconds