Forecasting India’s economic growth: a time-varying parameter regression approach

2019 ◽  
Vol 12 (3) ◽  
pp. 205-228 ◽  
Author(s):  
Rudrani Bhattacharya ◽  
Parma Chakravartti ◽  
Sudipto Mundle
Author(s):  
Pedro Clavijo ◽  
Jimmy Melo

This document determines the severity of the specialization pattern constraint on economic growth in Latin America for the period 1950-2016. For this purpose, Thirlwall’s Law is estimated with the help of cointegration with structural break and time-varying parameter techniques. The results compel the conclusion that the specialization pattern has constrained economic growth in Latin America for the whole period, but the constraint has tightened severely during economic liberalization. Since results suggest that Latin America is stuck in a trap of falling-behind growth due to the specialization pattern, Thirlwall’s Paradox is explored in a model that incorporates changes in productivity and reallocation of labor to analyze the conditions that allow investment to increase growth


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anirban Sanyal ◽  
Nirvikar Singh

Purpose The Green Revolution transformed agriculture in the Indian State of Punjab, with positive spillovers to the rest of India, but recently the state’s economy has fallen dramatically in rankings of per capita state output. Understanding the trajectory of Punjab’s economy has important lessons for all of India. Economic development is typically associated with changes in economic structure, but Punjab has remained relatively reliant on agriculture rather than shifting economic activity to manufacturing and services, where productivity growth might be greater. Design/methodology/approach The authors empirically examine structural change in the Punjab economy in the context of structural change and economic growth across the States of India. The authors calculate structural change indices and map their pattern over time. The authors estimate panel regressions and time-varying parameter regressions, as well as performing productivity change decompositions into within-sector and structural changes. Findings Panel regressions and time-varying-coefficient regressions suggest a significant positive influence of structural change on state-level growth. In addition, growth positively affected structural change across India’s states. The relative lack of structural change in Punjab’s economy is implicated in its relatively poor recent growth performance. Comparisons with a handful of other states reinforce this conclusion: Punjab’s lack of economic diversification is a plausible explanation for its lagging economic performance. Originality/value This paper performs a novel empirical analysis of structural change and growth, simultaneously using three different approaches: panel regressions, time-varying parameter regressions and productivity decompositions. To the best of the authors’ knowledge, it is the only paper we are aware of that combines these three approaches.


2021 ◽  
pp. 97-113
Author(s):  
Abiola Lydia Aina

Studies on the relationship between the informal economy and economic growth have been inconclusive as to whether the positive or negative relationship dominates. These results are partly due to the type of estimation technique such as fixed-parameter techniques. Fixed parameter techniques have been used to observe the relationship between economic growth and the informal economy. A caveat to the fixed-parameter estimation techniques used to observe the relationship between the informal economy and economic growth is the inability to account for annual disruptions. This paper seeks to examine the relationship between the informal economy and economic growth in Nigeria in the period from 1991 to 2015 using the Time-Varying Parameter (TVP) model. The TVP model is estimated in two stages. First, an Ordinary Least Squares (OLS) multiple regression is estimated and the outcome is subjected to the flexible least-squares approach. The results show the dominance of the negative effects of the informal economy on economic growth. The outcomes also reveal that overtime movements of time-varying parameters in the informal economy and economic growth are connected with economic and political events. This paper recommends the absorption of the informal economy into the official economy through government policy.


Anatolia ◽  
2014 ◽  
Vol 26 (2) ◽  
pp. 173-185 ◽  
Author(s):  
Hossein Panahi ◽  
Siab Mamipour ◽  
Kaveh Nazari

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