Journal of Social and Economic Development, February 2026
Digital skills are an essential component influencing the development of individuals, and the ability to utilize information and communication technology has been the need of the hour in this digital era. The widening digital gap has been highlighted in the literature. However, it mainly relates to basic digital skills acquired by the individuals. Hence, the present goes beyond it and captures intermediate and advanced digital skills with the help of the unit-level data of the National Sample Survey 78th round (2020–21). The authors assess the level of readiness of the Indian youth and adults with respect to the digital skills acquired by...
This paper uses a detailed input–output (Leontief) price model to quantify the inflationary effects of imposing a carbon tax on the Indian economy. By mapping primary fuel consumption (coal, crude petroleum, natural gas) to I-O sectors and applying fuel-specific emission factors, the analysis traces how tax-induced cost shocks propagate through supply chains to producers’ prices and, ultimately, to the Consumer Price Index. Results show a highly heterogeneous sectoral impact: electricity generation, coke and refined petroleum and basic metals register the largest price increases...
The Indian Journal of Labour Economics, March 2026
Although the beedi industry provides employment opportunities for women from low-income families, the informal nature of production adversely affects their earnings. Many women lack access to social security benefits and are often exploited by industrialists or middlemen, as they are not officially recognised as beedi workers. These women also face numerous health issues. Due to a lack of reliable public data, the beedi industry in general, and women beedi workers in particular, are poorly understood. This paper investigates why women continue to roll beedis despite earning low incomes and facing health risks...
The present study attempts to empirically evaluate the efficiency of the Flexible Inflation Targeting (FIT) regime (2015–2022) as compared to the Multiple Indicator Approach regime (1998–2015) of monetary policy of India by constructing efficiency frontiers (When the output inflation variability trade-off is estimated for optimum policy, it is called as Central Bank Efficiency Frontier or Taylor Curve). This requires an estimate of the slope of the Aggregate Supply curve of the economy, the potential output, targeted inflation, and the Central Bank’s inflation aversion parameter as the intermediate parameters....
This study develops a two-step machine learning-based framework to forecast the likelihood and severity of recessions in India: The first step predicts the probability of a recession using binary classification, while the second step, conditional on a predicted recession, classifies its severity into three categories using multiclass classification. A diverse set of machine learning models has been deployed across multiple forecast horizons (3, 6, 9, and 12 months). Key macroeconomic indicators, including the 10–year–1–year government bond yield spread, 1-month weighted call money rate, WPI fuel inflation, and non-oil export, have emerged as consistent and significant predictors of the...
This study investigates the exchange rate pass-through (ERPT) to domestic prices in India, incorporating the role of monetary policy credibility under the flexible inflation-targeting (FIT) regime. Using monthly data from 2011M1 to 2024M12, the analysis accounts for recent socio-economic and geopolitical shifts that may introduce structural breaks and distort long-run relationships. The key findings of the present study are as follows: unit root tests with double endogenous breaks confirm non-stationarity in the series, and the Hatemi-J (2008) cointegration test establishes a stable long-run relationship between domestic price and its covariates.....
We use the uneven rollout of accountability measures to identify their impact on the provision of guaranteed employment in rural Andhra Pradesh and Telangana, India. A public information campaign combined with an NGO-supported grievance mechanism resulted in treated households working over 10 additional days per year in the program. We find no immediate impact from the information campaign alone. These estimates, based on three rounds of Young Lives survey data, suggest that the combination of accountability measures enhanced the fulfillment of work entitlements. However, our...
Coastal cities in the Indian subcontinent have been experiencing severe cyclonic occurrences. Therefore, slum communities are no exception, and their adaptation strategies to cope with these climatic events are less studied in practice and research. Hence, the current study seeks to study the socio-economic variables that enhance the slum dwellers' adaptability to recurring cyclones in India's first smart city, Bhubaneswar. With the help of a structured questionnaire, a total of 200 households are randomly selected from two cyclone-prone slums, such as ‘Kedar Palli’ and ‘Phd Sahi’. As the ‘adaptation measures’ we ...
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