2012
DOI: 10.1111/j.1468-0084.2012.00722.x
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Network Effects and Infrastructure Productivity in Developing Countries*

Abstract: This study proposes to investigate the threshold effects in the productivity of infrastructure investment in developing countries. It concludes to their presence in the relationship between output and private and public inputs as well as network effects in the productivity of infrastructure. When the available stock of infrastructure is low, investment has the same productivity as non‐infrastructure investment. On the contrary, when a minimum network is available, the marginal productivity of infrastructure in… Show more

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Cited by 20 publications
(18 citation statements)
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References 29 publications
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“…Instrumenting infrastructure with its lags is widely used in earlier studies (e.g., Candelon, Colletaz, and Hurlin ; Crescenzi and Rodriguez‐Pose ), but has recently been criticized. The literature has suggested various external IVs, all having pros and cons.…”
Section: Resultsmentioning
confidence: 99%
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“…Instrumenting infrastructure with its lags is widely used in earlier studies (e.g., Candelon, Colletaz, and Hurlin ; Crescenzi and Rodriguez‐Pose ), but has recently been criticized. The literature has suggested various external IVs, all having pros and cons.…”
Section: Resultsmentioning
confidence: 99%
“…Instead of being included as a factor input, infrastructure is treated in the specification as an environmental variable affecting β 0 and the coefficients of k, l and h. No pre-specified 2. Candelon, Colletaz, and Hurlin (2013) capture nonlinearity in infrastructure's productivity using threshold regression models. Calderón, Moral-Benito, and Servén (2015) adopt the pooled mean-group estimator to allow for parameter heterogeneity.…”
Section: Choice Of Empirical Modelmentioning
confidence: 99%
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“…Asymptotic distribution of the test statistic is obtained by bootstrap procedure. The test statistics for 3 and 4 regimes can be found in Candelon et al (2013).…”
Section: Model and Methodologymentioning
confidence: 99%
“…Similarly, Candelon et al. () find strong threshold effects in the relationship between output and public capital using a Panel‐Smooth‐Threshold model.…”
mentioning
confidence: 79%