47 research outputs found
A Semi-Parametric Analysis on the Effect of Health Insurance on the Duration of Hospital Stay in India
No full textThe Impact of Pradhan Mantri Krishi Samman Nidhi Yojna on Food Security and the Healthcare-Seeking Practices of Agricultural Households in Bihar: A Note from the Field
No full textThe real-time impact on real economy: A multivariate bvar analysis of digital payment systems and economic growth in India
No full textFinancial sector development can play a crucial role in driving economic growth. Innovation in the payment system can potentially impact output, prices, and monetary policy transmissions. However, there is a conspicuous lack of work on the role of the payment system in driving economic activity, especially for an emerging economy like India. This paper examines the dynamic linkage between a digital payment system, real-time gross settlement (RTGS), and economic growth in India, using a multivariate Bayesian vector autoregressive (BVAR) model. Using monthly observations on the value and the volume of RTGS, we show that the value of RTGS has a significant impact on both income and price level in the economy. Our results also indicate that both RTGS and economic growth positively and significantly impact each other, supporting the existence of bidirectional causality between the two. A variance decomposition analysis confirms that both RTGS and economic activity contribute significantly to each other's fluctuations. Several sensitivity analyses reinforce our main findings
Factors Affecting Gender Disparity in Muslim Education in India
No full textMuslims occupy the second largest share in India’s population after Hindus. Therefore, India’s overall economic growth and development are largely dependent on the progress of this community. Muslims, by and large, have remained backward in attaining education so far, and the pace of their educational development is quite slow. The situation is even worse for Muslim women. This gives rise to gender disparity in education and raises concerns over the formulation, implementation and monitoring of government policies and programmes directed towards the betterment of this community. This study aims to empirically evaluate the effect of some socio-economic and demographic variables; particularly household consumption expenditure as a proxy for household income, on current education attendance levels of Muslims using a sample of individuals aged 5–17 years from the National Sample Survey, 68th round Employment–Unemployment survey, 2011–2012. In addition, this article is also an attempt to examine the effect of these factors on the gender gap in education of Muslims. Results from the empirical analysis show that members of this community are less likely to attend any educational institution if they belong to the lower income status household and are more likely to attend if they belong to the upper income status household. In comparison to Muslim girls, Muslim boys are more likely to attend school if they belong to rich families. In contrast, in poor Muslim families, girls are more likely to attend school than boys. Several other socio-economic and demographic factors also affect current education participation of Muslim children. Besides other factors, if on the one hand, children’s growing age and number of children in the household increase gender gap, then knowledge of Internet operation and presence of a female household head help in reducing gender gap in current attendance level of Muslim children in India.</jats:p
Forecasting private consumption with digital payment data: A mixed frequency analysis
No full textThe recent increase in the use of a digital payment system is an interesting prospect in predicting macroeconomic activity. A digital payment system comprising credit cards, debit cards, automated teller machines (ATMs), and mobile banking represents a broad spectrum of spending activity. The data on these indicators are also available at a higher frequency and therefore suitable for predicting lower-frequency macroeconomic variables. This paper uses mixed data sampling (MIDAS) regressions to forecast quarterly consumption using monthly data on the digital payment system and other macroeconomic variables such as personal credit and the Index of Industrial Production. Empirical results show that the digital payment system data have better predicting power in forecasting private consumption in India. Both in-sample and out-of-sample forecast evaluation confirm that MIDAS provides superior forecast evaluation to the standard time series models using a single frequency. This finding reinforces the potential usefulness of such novel data among policymakers and practitioners
Studies On Bioactive Constituents Of Decalepis Hamiltonii for the Control Of Stored Grain Fungi
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Economic policy uncertainty and inflation expectations of the households – insights from survey data
No full textPurpose – This paper aims to analyze how economic policy uncertainty (EPU) affects inflation expectations. The study uses unit-level observations of 3 months ahead and 1-year ahead inflation expectations from the Reserve Bank of India’s Inflation Expectations Household Survey (IESH) to explore the variations in consumer confidence across several cities in India.
Design/methodology/approach – This paper uses unit-level observations of 3months ahead and 1 year-ahead inflation expectations of the households from the Reserve Bank of India’s IEHS between September 2008 to July 2024. It uses a fixed effects regression exercise to examine the impact of EPUon the households’ inflation expectations.
Findings – The study results show that EPU negatively and significantly impacts consumers’ shortterm inflation expectations. Heterogenous analysis concerning gender reveals that impact of EPU on inflation expectations is higher for women than men. Further, respondents in the working-age population and greater income uncertainty are more sensitive to changes in EPU on inflation expectations. A disaggregated analysis is also conducted to analyze the impact of EPU on several disaggregated indicators of inflation expectations, showing that EPU has a larger impact on durables and house prices compared to nondurables and services. Robustness tests with alternative policy uncertainty measures and placebo tests corroborate our findings.
Practical implications – These findings indicate that EPU can potentially depress the household’s own price expectations related to several components of their consumption basket due to precautionary saving behavior, consequently leading to a pessimistic view of overall prices.
Originality/value – To the best of our knowledge, no study has explored the impact of inflation policy uncertainty on inflation expectations using unit-level survey data for an emerging economy like India. Furthermore, survey-level data allows us to examine the heterogenous impact of EPU based on household characteristics. Moreover, it also establishes the household’s own consumption basket channel through which EPU impacts the overall inflation expectations
The impact of financial stress on consumer confidence: Evidence from survey data
No full textPurpose
This paper explores the impact of financial stress (FS) on consumer confidence (CC) using survey data.
Design/methodology/approach
We use novel household-level survey data on CC by the Reserve Bank of India. FS data come from the financial stress index (FSI) released by the Tracking Asian Integration of Asian Development Bank. The sample period is 2015–2023. We align the lagged monthly values of FSI with the household-level data to uncover the impact of FS on household confidence in the economy.
Findings
Rising FS leads to increased pessimism among households regarding the state of the economy. Educated and well-off households are more sensitive to FS. Moreover, FS significantly impacts confidence regarding households’ own consumption basket and economic scenarios. A disaggregated analysis reveals that FS related to foreign exchange and debt spread causes greater pessimism among households than in the equity market and banking sector. Additionally, the impacts of FS are asymmetric, with above-average FS lowering household attitudes, while below-average FS increases optimism about the economy’s outlook.
Originality/value
To the best of our knowledge, this study is the first to examine the impact of FS on household CC using household-level data for an emerging economy such as India. Micro-level data allow us to explore the impact of FS on household perceptions of current economic situations and future outlooks. We also uncover the impact of FS on households’ confidence in their own economic outcomes
