Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/2673
Title: Markov or not Markov - this should be a question
Keywords: O40
R11
C12
ddc:330
Convergence
Markov process
chi-square tests
U.S. regional growth
Markovscher Prozess
Statistischer Test
Regionale Einkommensverteilung
Regionale Entwicklung
Entwicklungskonvergenz
Schätzung
Theorie
USA
Issue Date: 16-Oct-2013
Publisher: Kiel Institute for the World Economy (IfW) Kiel
Description: Although it is well known that Markov process theory, frequently applied in the literature on income convergence, imposes some very restrictive assumptions upon the data generating process, these assumptions have generally been taken for granted so far. The present paper proposes, resp. recalls chi-square tests of the Markov property, of spatial independence, and of homogeneity across time and space to assess the reliability of estimated Markov transition matrices. As an illustration we show that the evolution of the income distribution across the 48 coterminous U.S. states from 1929 to 2000 clearly has not followed a Markov process.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/2673
Other Identifiers: http://hdl.handle.net/10419/2673
ppn:340070382
ppn:340070382
Appears in Collections:EconStor

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