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The "V-Factor": Distribution, Timing and Correlates of the Great Indian Growth Turnaround

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TLDR
This paper showed that a strikingly similar V-shaped pattern is visible not just in aggregate output figures, but also as the primary determinant of long-term movements in the cross-sectional distribution within the All-India total, at both sectoral and state output levels.
Abstract
The ratio of Indian to US per capita output over the past 45 years has displayed a distinctive "V"-shaped pattern. We show that a strikingly similar V-shaped pattern is visible not just in aggregate output figures, but also as the primary determinant of long-term movements in the cross-sectional distribution within the All-India total, at both sectoral and state output levels. We also carry out preliminary investigations of correlates of the "VFactor", using a new panel data set for Indian states from 1960 to 2005 that extends and encompasses all previous datasets relevant to macroeconomic analysis of the Indian states.

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Remoteness, Urbanization, and India's Unbalanced Growth

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References
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A Contribution to the Empirics of Economic Growth

TL;DR: The authors examined whether the Solow growth model is consistent with the international variation in the standard of living, and they showed that an augmented Solow model that includes accumulation of human as well as physical capital provides an excellent description of the cross-country data.
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Testing for unit roots in heterogeneous panels

TL;DR: In this article, a unit root test for dynamic heterogeneous panels based on the mean of individual unit root statistics is proposed, which converges in probability to a standard normal variate sequentially with T (the time series dimension) →∞, followed by N (the cross sectional dimension)→∞.
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Computation and analysis of multiple structural change models

TL;DR: In this paper, the problem of estimating the break dates and the number of breaks in a linear model with multiple structural changes has been considered and an efficient algorithm based on the principle of dynamic programming has been proposed.
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Computation and Analysis of Multiple Structural-Change Models

TL;DR: In this paper, the problem of estimating the number of break dates in a linear model with multiple structural changes has been studied and an efficient algorithm to obtain global minimizers of the sum of squared residuals has been proposed.
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Growth Empirics: A Panel Data Approach

TL;DR: In this article, a panel data approach is advocated and implemented for studying growth convergence, and the familiar equation for testing convergence is reformulated as a dynamic panel data model, and different panel data estimators are used to estimate it.
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