CONPES 3292 DE 2004 PDF

of June , the National Council for .. l6 This action was also recommended in CONPES () “Plan de expansidn portuaria. surveys. From through , Colombia’s competitiveness ranking by the World Specifically, CONPES put more emphasis on the. Document CONPES of Document CONPES of De scribe any training or capacity‑building programmes for government officials.

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Book titles OR Journal titles. Project MUSE Mission Project Cinpes promotes the creation and dissemination of essential humanities and social science resources through collaboration with libraries, publishers, and scholars worldwide. Thus the authors argue that it is plausible to expect characteristics of households and neighborhoods to be quite similar at the boundaries.

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Therefore, one cannot expect these boundaries to perfectly divide fundamentally different neighborhoods. Forged from a partnership between a university press and a library, Project MUSE is a trusted part of the academic and scholarly community it serves.

Stratification and Public Utility Services in Colombia: From both 204 perspectives, this paper is an conpws contribution. Subsidies to Households or Distortion of Housing Prices? However, one must be aware of the fact that the key assumption of copes regression discontinuity design would be plausible in cases in which boundaries are determined according to characteristics uncorrelated with the independent variables in the hedonic price equation and, in particular, the subsidy, which is the variable of interest and the unobserved error term.

Project MUSE promotes the conprs and dissemination of essential humanities and social science resources through collaboration with libraries, publishers, and scholars worldwide. Clearly, for this design to be valid, one would require that subsidies make a discrete jump at the boundaries while neighborhoods continue to change in a smooth manner at the boundaries.

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View freely available titles: These results might suggest that the stratification In other words, estimating the causal effect of DPS subsidies on housing prices is difficult because houses that receive high subsidies are located in lower socioeconomic strata that is, poorer neighborhoods and thus are associated with lower prices.

As a result, the estimate of the effect of the subsidy on housing prices could be biased in this particular example, one would expect the estimate to be downwardly biased in a simple OLS ordinary least squares estimation that does not account for the unobserved characteristics of houses and neighborhoods that are also associated with housing xe.

Raquel Bernal:

The basic estimation strategy is to estimate a relatively standard conpees price model in which public utility subsidies received or paid by a given dwelling have an effect on the price of the house, controlling for a variety of observed characteristics of the house and the neighborhood. In particular, the estimation strategy consists of using strata boundary dummies to account for any unobserved characteristics shared by houses on cnopes side of the boundary.

Similarly, houses that receive low subsidies or pay contributions are located in higher socioeconomic strata that is, richer neighborhoods and thus are associated with higher prices.

The key issue dealt with ee the paper is the endogeneity of the subsidy in such an equation. Built on the Johns Hopkins University Campus. The results reported in the paper indicate that, in fact, even for houses located very close to the boundary, at least 50 percent of the observed characteristics of dwellings are statistically significantly different on both sides of the boundary. Thus, in a sense, the estimation strategy provides the value that individuals place 32292 higher subsidies.

Intuitively, the authors claim that while there is significant heterogeneity across strata and, as expected, homogeneity within stratum the location of the exact boundaries can be arbitrary to a great extent because a very large number of dwellings were assigned to very few groups six in total. In lieu of an abstract, here is a brief excerpt of the content: Without cookies your experience may not be seamless.

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Intuitively, their exercise provides a way of calculating how much more people pay for houses located in areas with higher subsidies for public utilities DPS. This website uses cookies to ensure you get the best experience on our website. To deal with this issue, the authors implement a type of regression discontinuity design RDD by taking advantage of the stratification system by which households are assigned to one of six socioeconomic strata that are then used to target differential subsidies for public utility services.

In addition, they use their estimates to assess the extent to which the distortions in housing prices associated with the subsidy-stratification system affect final subsidy beneficiaries.

If you would like to authenticate using a different subscribed institution that supports Shibboleth authentication or have your own login and password to Project MUSE, click ‘Authenticate’. Clearly, from the policy point of view, it seems very important to understand the distortions associated with the cross subsidy system and the specific stratification strategy that guides subsidy assignment.

However, in this case, it is clear that considerations about socioeconomic characteristics of houses, households, and neighborhoods are crucial in determining the boundaries. Thus in the data one will observe that the higher the subsidy, the lower the price of the house. Contact Contact Us Help. Unobserved variables, for example, would be the provision of public goods at the stratum level or neighborhood characteristics within and across strata.