Matches in SemOpenAlex for { <https://semopenalex.org/work/W2313370260> ?p ?o ?g. }
- W2313370260 endingPage "660" @default.
- W2313370260 startingPage "642" @default.
- W2313370260 abstract "This article examines spatial panel autoregressive (SAR) models with dynamic, time-varying endogenous spatial weights matrices, common factors, and random coefficients. An empirical application is on the spillover effects of state Medicaid spending. Endogeneity of spatial weights matrices comes from the correlation of “economic distance” and the disturbances in the SAR equation. Common factors control for common shocks to all states and random coefficients may capture heterogeneity in responses. The Bayesian Markov chain Monte Carlo (MCMC) estimation is developed. Identification of factors and factor loadings, and model selection issues based upon the deviance information criterion (DIC) are explored. We find that a state’s Medicaid related spending is positively and significantly affected by those of its neighbors. Both welfare motivated move and yardstick competition are possible sources of strategic interactions among state governments. Welfare motivated move turns out to be more a driving force for th..." @default.
- W2313370260 created "2016-06-24" @default.
- W2313370260 creator A5031214316 @default.
- W2313370260 creator A5049395133 @default.
- W2313370260 date "2016-09-15" @default.
- W2313370260 modified "2023-09-24" @default.
- W2313370260 title "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients" @default.
- W2313370260 cites W1486960811 @default.
- W2313370260 cites W1544709650 @default.
- W2313370260 cites W1839924155 @default.
- W2313370260 cites W1971844826 @default.
- W2313370260 cites W1981145803 @default.
- W2313370260 cites W1986866669 @default.
- W2313370260 cites W1987634618 @default.
- W2313370260 cites W1995780830 @default.
- W2313370260 cites W2010747041 @default.
- W2313370260 cites W2015558203 @default.
- W2313370260 cites W2018048851 @default.
- W2313370260 cites W2047978125 @default.
- W2313370260 cites W2057069782 @default.
- W2313370260 cites W2057765075 @default.
- W2313370260 cites W2065347705 @default.
- W2313370260 cites W2071083396 @default.
- W2313370260 cites W2071673199 @default.
- W2313370260 cites W2075346238 @default.
- W2313370260 cites W2077685031 @default.
- W2313370260 cites W2082108991 @default.
- W2313370260 cites W2087101057 @default.
- W2313370260 cites W2092026457 @default.
- W2313370260 cites W2108092078 @default.
- W2313370260 cites W2110285888 @default.
- W2313370260 cites W2117420831 @default.
- W2313370260 cites W2117594039 @default.
- W2313370260 cites W2123266275 @default.
- W2313370260 cites W2123843832 @default.
- W2313370260 cites W2128249713 @default.
- W2313370260 cites W2131083915 @default.
- W2313370260 cites W2139004894 @default.
- W2313370260 cites W2142635246 @default.
- W2313370260 cites W2144751663 @default.
- W2313370260 cites W2148459752 @default.
- W2313370260 cites W2152467593 @default.
- W2313370260 cites W2154883881 @default.
- W2313370260 cites W2161162628 @default.
- W2313370260 cites W2163429715 @default.
- W2313370260 cites W2165626679 @default.
- W2313370260 cites W2172041548 @default.
- W2313370260 cites W2199373639 @default.
- W2313370260 cites W2245143410 @default.
- W2313370260 cites W3025289824 @default.
- W2313370260 cites W3121722945 @default.
- W2313370260 cites W3122358982 @default.
- W2313370260 cites W3124651540 @default.
- W2313370260 cites W3126042383 @default.
- W2313370260 cites W391578156 @default.
- W2313370260 cites W4211177544 @default.
- W2313370260 cites W4301651410 @default.
- W2313370260 doi "https://doi.org/10.1080/07350015.2016.1167058" @default.
- W2313370260 hasPublicationYear "2016" @default.
- W2313370260 type Work @default.
- W2313370260 sameAs 2313370260 @default.
- W2313370260 citedByCount "25" @default.
- W2313370260 countsByYear W23133702602017 @default.
- W2313370260 countsByYear W23133702602018 @default.
- W2313370260 countsByYear W23133702602019 @default.
- W2313370260 countsByYear W23133702602020 @default.
- W2313370260 countsByYear W23133702602021 @default.
- W2313370260 countsByYear W23133702602022 @default.
- W2313370260 countsByYear W23133702602023 @default.
- W2313370260 crossrefType "journal-article" @default.
- W2313370260 hasAuthorship W2313370260A5031214316 @default.
- W2313370260 hasAuthorship W2313370260A5049395133 @default.
- W2313370260 hasConcept C105795698 @default.
- W2313370260 hasConcept C107673813 @default.
- W2313370260 hasConcept C126322002 @default.
- W2313370260 hasConcept C149782125 @default.
- W2313370260 hasConcept C151406439 @default.
- W2313370260 hasConcept C159877910 @default.
- W2313370260 hasConcept C168743327 @default.
- W2313370260 hasConcept C194657046 @default.
- W2313370260 hasConcept C24338571 @default.
- W2313370260 hasConcept C33923547 @default.
- W2313370260 hasConcept C6422946 @default.
- W2313370260 hasConcept C71924100 @default.
- W2313370260 hasConcept C95190672 @default.
- W2313370260 hasConceptScore W2313370260C105795698 @default.
- W2313370260 hasConceptScore W2313370260C107673813 @default.
- W2313370260 hasConceptScore W2313370260C126322002 @default.
- W2313370260 hasConceptScore W2313370260C149782125 @default.
- W2313370260 hasConceptScore W2313370260C151406439 @default.
- W2313370260 hasConceptScore W2313370260C159877910 @default.
- W2313370260 hasConceptScore W2313370260C168743327 @default.
- W2313370260 hasConceptScore W2313370260C194657046 @default.
- W2313370260 hasConceptScore W2313370260C24338571 @default.
- W2313370260 hasConceptScore W2313370260C33923547 @default.
- W2313370260 hasConceptScore W2313370260C6422946 @default.
- W2313370260 hasConceptScore W2313370260C71924100 @default.
- W2313370260 hasConceptScore W2313370260C95190672 @default.