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Manufacturing growth in India in recent years: Is it getting overstated in India’s new GDP series?

Indian Growth and Development Review, Volume 9 Issue 2, 2016

Purpose

The paper presents a brief, selective review of the literature that has emerged on the new series of national accounts. A close look is taken at the available data on real gross value added growth in Indian manufacturing in conjunction with data on growth in India’s exports and in outstanding non-food commercial bank credit. Analysis of these data is undertaken with the help of a table and some graphs.

The paper finds that there is not enough basis to believe and argue that the GDP estimates in the new series of national accounts significantly overstate the true manufacturing sector growth in India.

Rates of manufacturing output growth in recent years indicated by the new series of national accounts for India are subjected to careful scrutiny by contrasting yearly growth rates in manufacturing output with those in India’s non-oil exports and in outstanding non-food commercial bank credit.

URL: http://www.emeraldinsight.com/doi/abs/10.1108/IGDR-08-2016-0037

Courtesy: Emeraldinsight

Does Weather Sensitivity of Rice Yield Vary Across Regions? Evidence from Eastern and Southern India

Anubhab Pattanayak and K. S. Kavi Kumar

WORKING PAPER 162/2017

With the objective of assessing climatic impacts at the regional (i.e., subnational) level, past studies employing statistical models have largely followed the approach of uniformly applying the climate response function
estimated at the aggregate (national) level to extrapolate/interpolate the impacts for the region(s) of interest. Although impact estimates based on this approach could loosely indicate the magnitude of regional impacts (or
at the least the direction of such impacts), they may exhibit significant overestimation or underestimation of the true regional impacts. Thus, following this approach could be misleading and will be inappropriate if
the objective is effective adaptation planning and policy implementation at the regional level to withstand future climate change impacts.
The present study is an extension of this literature and examines the above issue through an assessment of regional weather sensitivity of rice crop in the Indian context. Using disaggregated (district) level weather and non-weather data during 1969-2007 and region-specific rice growing season information, the crop-yield response functions for two dominant rice growing regions (East and South) are estimated. The study finds significant adverse effects of higher daytime temperature during all phases of crop growth on rice yield for both regions. However, the effects of higher nighttime temperature and rainfall across growth phases tend to
differ across regions. The paper then examines whether an aggregate (all-India) response function represents well the regional impacts on rice yield due to a hypothetical scenario of pre-1960 climatic conditions prevailing during the period of study. Accordingly, comparison is made between regional impacts simulated using the all-India yield response function and impacts simulated using the region-specific yield response functions. The analysis suggests that regional impacts are overestimated when simulated using an all-India yield response function instead of using the region-specific yield response function. Regional impacts simulation results indicate that the average yield loss for the Southern and the Eastern regions due to past changes in climate has been to the tune of 8 per cent and 5 per cent respectively. Regional distribution of impacts shows that majority of districts in each region, especially in the East, suffered yield losses due to climate change in the past. The study highlights the need to conduct regional crop-weather sensitivity assessment using region-specific characteristics to understand regional vulnerability to climatic and non-climatic stressors and for region-level
adaptation planning to tackle climate change.

URL:http://www.mse.ac.in/wp-content/uploads/2017/07/WP-162-Web.pdf

Courtesy: MSE

Development and Change, Volume 48, Issue 4, July 2017

Articles

Stata Journal Volume 17, Number 2 , 2017

Articles and Columns

Joseph M. Hilbe (1944–2017) 

Estimating inverse-probability weights for longitudinal data with dropout or truncation: The xtrccipw command by E J. Daza, M. G. Hudgens, and A. H. Herring

Heuristic criteria for selecting an optimal aspect ratio in a two-variable line plot by Christodoulou

Regression clustering for panel-data models with fixed effects by Christodoulou and V. Sarafidis

Introducing the StataStan interface for fast, complexBayesian modeling using Stan by L. Grant, B. Carpenter, D. C. Furr, and A. Gelman

Fitting Bayesian item response models in Stata and Stan by L. Grant, D. C. Furr, B. Carpenter, and A. Gelman

Instantaneous geometric rates via generalized linear models by Discacciati and M. Bottai

rdrobust: Software for regression-discontinuity designs by Calonico, M. D. Cattaneo, M. H. Farrell, and R. Titiunik

A combined test for a generalized treatment effect in clinical trials with a time-to-event outcome by Royston

Estimating responsiveness scores using rscore by Cerulli

Multilevelmultiprocess modeling with gsem  by Bartus

A flexible parametric competing-risks model using a direct likelihood approach for the cause-specific

cumulative incidence function by I. Mozumder, M. J. Rutherford, and P. C. Lambert

Rate decomposition for aggregate data using Das Gupta’s method by J Li

Covariate-constrained randomization routine for achieving baseline balance in cluster-randomized trials by Lorenz and S. Gabrysch

Stata tip 127: Use capture noisily groups by B. Newson

URL: http://www.stata-journal.com/current-issue/

Courtesy: Stata Corp

Women’s Employment in Modern Indian Industry

Balwant Singh Mehta and Megha Shree

Indian Journal of Labour Economics, v. 59 , iss. 2 , Jun 2016

This paper examines the qualitative aspect of women’s employment in modern Indian industries through a case study of the electronics manufacturing industry. The results reveal that this industry is gender-unequal; women increasingly hold regular, salaried jobs, but in low-paid, low-productive occupations, and are paid much less than men and given fewer social security benefits. These women are mostly young, single, and from lower caste, and either highly educated or illiterate. Few of the firms that employ them have a union. Very few women are
union members, and have bargaining power. The paper ends with a set of policy recommendations.

URL: http://web.b.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=10&sid=21f7fd52-703f-4147-9be5-8baea89b2c86%40sessionmgr102

Courtesy: Econlit

International trade and unionization: Evidence from India

Reshad N. Ahsan, Arghya Ghosh and Devashish Mitra

Canadian Journal of Economics, Volume 50, Issue 2, May  2017

We exploit exogenous variation in tariffs to examine the impact of import competition on unionization and union wages in a developing country. Using a combination of nationally representative household data (National Sample Survey Organization) and nationally representative industry-level data (Annual Survey of Industries) from India, we find that net-import industries that experienced larger cuts in tariffs also experienced larger declines in unionization. In addition, we find that these industries also experienced larger increases in union wages. These results are consistent with the predictions of an efficient bargaining framework that we extend to endogenize the union formation decision by allowing for a fixed cost of union formation. We also conduct a back-of-the-envelope calculation to show that the total wage gains to unionized workers marginally exceed the total wage losses to deunionized workers.

URL: http://onlinelibrary.wiley.com/doi/10.1111/caje.12263/full

Courtesy: Wiley online library

Research Policy Volume 46, Issue 7, September 2017

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