6 research outputs found

    The Economic Transition and Growth of Philippine Regions

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    The paper applies the economic transition models and econometric convergence tests proposed by Phillips and Sul (2006) using data on per capita Gross Regional Domestic Product (1988-2008) to determine if 14 Philippine regional economies converge to a steady state path over a period of time. The paper explores modeling and analyzing the economic transition behavior of the regions. Regional relative transition paths are investigated to generate a graphical overview of the behavior of the regional economies. The log t convergence test, which is constructed from a transition differential decay model, is used to establish if a region converges to a steady state path or diverges from a steady state path. The test basically provides the basis for a stepwise clustering algorithm in finding convergence clusters and analyzing transition behavior between clusters. The paper identifies convergence clubs and determines divergent regional economies using a recursive procedure that revolves around the log t convergence test.log t convergence test, convergence clubs

    Investigating the Presence of Regional Economic Growth Convergence in the Philippines using Kalman Filter

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    This paper investigates the presence of stochastic and dynamic convergence of the 14 regional economies in the Philippines in terms of per capita Gross Regional Domestic Product (GRDP) using regional panel data from 1988 to 2007. Stochastic convergence, which indicates convergence of regions in the long-run, is tested using Levin, Lin & Chu (LLC) and Im, Pesaran & Shin (IPS) panel unit root tests. The presence of convergence, on one hand, indicates that the economically laggard regions are gaining on the economically better-performing regions with respect to per capita GRDP. On the other hand, the lack of convergence indicates a need to reevaluate existing regional and national economic policies on development. Dynamic convergence reveals several convergence characteristics of individual regions over time. Dynamic convergence is determined by the time-varying parameter (TVP) model derived using the Kalman Filter. The paper proceeds to examine the individual convergence behavior of each region based on the value of the estimate of the parameter of the TVP. The results show that out of the 14 regions studied, seven regions are found to converge towards the average of the national per capita GDP growth rate over 1988 to 2007 while six regions lag behind the average of the national per capita GDP growth rate over the same period. No region converges towards the economic growth rate of National Capital Region, the lead region used in the study.Panel Unit Root Test, Time-varying Parameter (TVP) Model, Kalman Filter, Stochastic Convergence, Dynamic Convergence

    The Economic Transition and Growth of Philippine Regions

    Get PDF
    The paper applies the economic transition models and econometric convergence tests proposed by Phillips and Sul (2006) using data on per capita Gross Regional Domestic Product (1988-2008) to determine if 14 Philippine regional economies converge to a steady state path over a period of time. The paper explores modeling and analyzing the economic transition behavior of the regions. Regional relative transition paths are investigated to generate a graphical overview of the behavior of the regional economies. The log t convergence test, which is constructed from a transition differential decay model, is used to establish if a region converges to a steady state path or diverges from a steady state path. The test basically provides the basis for a stepwise clustering algorithm in finding convergence clusters and analyzing transition behavior between clusters. The paper identifies convergence clubs and determines divergent regional economies using a recursive procedure that revolves around the log t convergence test

    The Economic Transition and Growth of Philippine Regions

    Get PDF
    The paper applies the economic transition models and econometric convergence tests proposed by Phillips and Sul (2006) using data on per capita Gross Regional Domestic Product (1988-2008) to determine if 14 Philippine regional economies converge to a steady state path over a period of time. The paper explores modeling and analyzing the economic transition behavior of the regions. Regional relative transition paths are investigated to generate a graphical overview of the behavior of the regional economies. The log t convergence test, which is constructed from a transition differential decay model, is used to establish if a region converges to a steady state path or diverges from a steady state path. The test basically provides the basis for a stepwise clustering algorithm in finding convergence clusters and analyzing transition behavior between clusters. The paper identifies convergence clubs and determines divergent regional economies using a recursive procedure that revolves around the log t convergence test

    Investigating the Presence of Regional Economic Growth Convergence in the Philippines using Kalman Filter

    Get PDF
    This paper investigates the presence of stochastic and dynamic convergence of the 14 regional economies in the Philippines in terms of per capita Gross Regional Domestic Product (GRDP) using regional panel data from 1988 to 2007. Stochastic convergence, which indicates convergence of regions in the long-run, is tested using Levin, Lin & Chu (LLC) and Im, Pesaran & Shin (IPS) panel unit root tests. The presence of convergence, on one hand, indicates that the economically laggard regions are gaining on the economically better-performing regions with respect to per capita GRDP. On the other hand, the lack of convergence indicates a need to reevaluate existing regional and national economic policies on development. Dynamic convergence reveals several convergence characteristics of individual regions over time. Dynamic convergence is determined by the time-varying parameter (TVP) model derived using the Kalman Filter. The paper proceeds to examine the individual convergence behavior of each region based on the value of the estimate of the parameter of the TVP. The results show that out of the 14 regions studied, seven regions are found to converge towards the average of the national per capita GDP growth rate over 1988 to 2007 while six regions lag behind the average of the national per capita GDP growth rate over the same period. No region converges towards the economic growth rate of National Capital Region, the lead region used in the study

    Investigating the Presence of Regional Economic Growth Convergence in the Philippines using Kalman Filter

    Get PDF
    This paper investigates the presence of stochastic and dynamic convergence of the 14 regional economies in the Philippines in terms of per capita Gross Regional Domestic Product (GRDP) using regional panel data from 1988 to 2007. Stochastic convergence, which indicates convergence of regions in the long-run, is tested using Levin, Lin & Chu (LLC) and Im, Pesaran & Shin (IPS) panel unit root tests. The presence of convergence, on one hand, indicates that the economically laggard regions are gaining on the economically better-performing regions with respect to per capita GRDP. On the other hand, the lack of convergence indicates a need to reevaluate existing regional and national economic policies on development. Dynamic convergence reveals several convergence characteristics of individual regions over time. Dynamic convergence is determined by the time-varying parameter (TVP) model derived using the Kalman Filter. The paper proceeds to examine the individual convergence behavior of each region based on the value of the estimate of the parameter of the TVP. The results show that out of the 14 regions studied, seven regions are found to converge towards the average of the national per capita GDP growth rate over 1988 to 2007 while six regions lag behind the average of the national per capita GDP growth rate over the same period. No region converges towards the economic growth rate of National Capital Region, the lead region used in the study
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