Research Interest: Game Theory, Labour Economics, Optimisation and Time Series Analysis.
Authored the article "The Food Divide: How Solving Nutritional Inequality Can Fuel India’s Economic Progress" for The Wire, analyzing the impact of unequal food distribution on women's health, education, and economic empowerment.
Analysis of Gross Value Chains (GVC) in the Semiconductor Industry, 2023
Abstract
The semiconductor industry plays a critical role in global value chains (GVCs), yet recent disruptions have exposed its vulnerability to external shocks. This study examines the contribution of semiconductor supply networks to GVCs by analyzing Foreign Value Added (FVA), Domestic Value Added (DVA), and Indirect Value Added (DVX) using time series regression. The objective is to assess how these factors influence GVC participation and their implications for economic resilience. Our findings reveal that technology intensity, trade openness, and innovation capabilities significantly impact the share of semiconductor supply chains in GVCs. The results highlight the need for policies that strengthen supply chain resilience, address global chip shortages, and enhance economic development. These insights are crucial for policymakers and businesses seeking to navigate semiconductor supply chain disruptions and ensure sustainable growth.
Analysis of the Food and Non-Food Consumption Patterns in India - A State-Level Analysis of Kerala and Punjab, 2023
Abstract
This paper examines food and non-food consumption patterns in India, focusing on Kerala and Punjab, two states with distinct economic and demographic profiles. The study aims to analyze how regional disparities, income levels, and urbanization influence household expenditure decisions. Using the Linear Expenditure System (LES) and Almost Ideal Demand System (AIDS) models, we estimate income and cross-price elasticities to understand consumer demand behavior. Our findings reveal that while necessities dominate consumption in both states, Kerala exhibits greater food diversity, with a declining trend in cereal consumption, whereas Punjab's expenditure patterns are shaped by rising food prices and rural-urban divides. These results highlight the impact of socio-economic factors on spending behavior, offering insights for policy interventions targeting income disparities and food security.
Exploring Total Factor Productivity: Constructing ARMA Models for US GDP Per Capita Time Series Analysis, 2023
Abstract
This project examines the Total Factor Productivity (TFP) of the USA using an ARMA (Auto-Regressive Moving Average) model to analyze and forecast its time series behavior. The objective is to determine the best-fitting ARMA model that captures the underlying trends and cyclical components in the data. Using GDP per capita (constant 2015 US$) from 1960 to 2022, the analysis follows a structured approach involving data extraction, filtering, visualization, and model estimation. Stationarity tests confirm the presence of a unit root, necessitating detrending through the Hodrick-Prescott (HP) filter. Autocorrelation and partial autocorrelation functions reveal seasonality in the residuals, guiding the selection of model parameters. Through an iterative approach, the ARMA(0,5) model is identified as the best fit based on the Akaike Information Criterion (AIC). The results provide insights into the long-term growth patterns of the U.S. economy and highlight the effectiveness of time series modeling in understanding productivity trends.
The Redistribution, Selection, and Trade by Miriam Kohl, 2023
Abstrcat
This project replicates the theoretical model from The Redistribution, Selection, and Trade by Miriam Kohl using Mathematica, under the guidance of Dr. Dibyendu Maiti at DSE (2023). The study analyzes the distributional effects of international trade and welfare policies, with a particular focus on how progressive income taxation shapes occupational choices and redistribution. By evaluating its impact on welfare and income inequality, the research offers insights into the broader implications of taxation for economic outcomes and social equity
Impact of awareness and financial stability on mental health treatment, 2022
Abstarct
This study examines the impact of awareness and financial stability on mental health treatment, conducted under the guidance of Dr. Devesh Birwal at DSE (2022). A primary research survey was conducted using Google Forms, collecting responses from over 500 participants. A Logistic Regression Model was developed and implemented to assess the relationship between financial stability, awareness, and mental health treatment among students. The model demonstrated a 93% explanatory power, identifying pandemic-induced loneliness and traumatic events as key factors affecting student mental health. The findings highlight the critical role of these variables in shaping mental health outcomes, emphasizing the need for targeted interventions to address mental health challenges in academic settings.
Predicting the Auction Price of a Player (IPL), 2022
Abstarct
This study examines the key factors influencing the auction price of IPL players, conducted under the guidance of Dr. Devesh Birwal at DSE (2022). Analyzing the past performance data of 149 batsmen, a Linear Regression model was developed to predict auction prices. The study identified runs scored and strike rate as significant determinants, emphasizing franchises' preference for high-scoring and aggressive players. A robustness check was performed by evaluating the role of numerologist ideology in player selection. The findings provide insights into the valuation of cricketers in professional leagues and the strategic considerations of IPL franchises.
Comparison between India and China, the two fastest-growing economies, 2022
Abstract
This project compares the economic and social trajectories of India and China, the two fastest-growing economies, using 25 years of data (1997–2021) from the World Bank. The research examines GDP growth across agriculture, industry, and service sectors, unemployment rates, GDP per capita trends, and key social indicators such as health expenditure and suicide mortality rates. The objective is to analyze the structural composition of economic growth in both countries and assess the potential correlations between economic performance and public health outcomes. The findings reveal a widening gap in GDP per capita growth between India and China over time, with China experiencing sustained industrial growth while India's economic expansion remains more sectorally balanced. Additionally, a positive correlation is observed between GDP per capita and suicide mortality rates in both nations, suggesting complex interactions between economic development and mental health. While increased health expenditure does not exhibit a straightforward relationship with suicide rates, India shows a tendency toward a positive association. These results highlight the need for a holistic policy approach that integrates economic growth strategies with mental health and social welfare initiatives to ensure sustainable development.