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What is Panel Unit Root Tests

Handbook of Research on Economic, Financial, and Industrial Impacts on Infrastructure Development
Testing for unit roots in time series studies is common practice among applied researchers and has become an integral part of econometric courses. We use in this study, the unit root test proposed by Im, Pesaran and Shin (1997) AU123: The in-text citation "Im, Pesaran and Shin (1997)" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. (IPS) test. IPS test allow for a heterogeneous coefficient of y it-1 and proposed an alternative testing procedure based on averaging individual unit root test statistics. IPS suggested an average of the Augmented DF (ADF) tests when u it is serially correlated with different serial correlation properties across cross-sectional units.
Published in Chapter:
The Impact of Infrastructure on Growth in Developing Countries: Dynamic Panel Data Analysis
Derya Yılmaz (Uludag University, Turkey) and Işın Çetin (Uludag University, Turkey)
DOI: 10.4018/978-1-5225-2361-1.ch003
Abstract
Infrastructure and growth nexus has been debated in the literature since 1980s. This debate has a vital importance for the sake of developing countries. These countries need to grow faster in order to catch-up their advanced counterparts. Thus, it is important to detect the effect of infrastructure on growth. Bearing in mind this fact, we develop a standard growth regression in this present chapter using per capita GDP growth rate as a dependent variable. Infrastructure is added to the model as an index constructed from the indicators of infrastructure: total electric generating capacity, total telephone lines and the length of road network. We also employ set of instrumental variables comprising 29 developing countries between 1990 and 2014. In order to estimate our dynamic panel data we prefer GMM estimators. According to our empirical analysis, we can claim that infrastructure has a positive and significant impact on growth. But this impact is smaller than the earlier studies predict.
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