Analyzing Pre- and Post-Pandemic Housing Market Trends in India: A Quasi-Experimental Approach Using ITS and Panel Data Analysis

Muskan Dugar (), Trupti Dandekar Humnekar () and V Moovendhan ()
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Muskan Dugar: Jain Deemed to be University, Bangalore
Trupti Dandekar Humnekar: Jain Deemed to be University, Bangalore
V Moovendhan: Jain Deemed to be University, Bangalore

International Real Estate Review, 2024, vol. 27, issue 3, 393-411

Abstract: The research delves into the influence of pre- and post-pandemic real estate housing price indices of cities in India. Using an interrupted time series analysis and panel data regression, this study evaluates the repercussions of the COVID-19 pandemic on residential housing in ten Indian cities over a span of thirteen years from 2010 to 2023. The results present a medley of outcomes on city-level trends, a prevailing postpandemic downturn observable across cities, and a subsequent positive shift as compared to pre-pandemic standards. The study brings to light the diverse impact and shock insulation exhibited by smaller cities, thus unveiling the variations among different cities.

Keywords: COVID-19; ITS analysis; Real estate market trend; Pre- and post-COVID (search for similar items in EconPapers)
Date: 2024
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