Purpose India is one of those countries that are severely affected by the COVID-19 pandemic. With the upsurge in the cases, the country recorded high unemployment rates, economic uncertainties and slugging growth rates. This adversely affected the real estate sector in India. As the relation of the housing market with the gross domestic product is quite lasting thus, the decline in housing prices has severely impacted the economic growth of the nation. Hence, the purpose of this paper is to gauge the asymmetric impact of COVID-19 shocks on housing prices in India. Design/methodology/approach Studies revealed the symmetric impact of macroeconomic variables, and contingencies on housing prices dominate the literature. However, the assumption of linearity fails to apprehend the asymmetric dynamics of the housing sector. Thus, the author uses a nonlinear autoregressive distributed lag model to address this limitation and test the existence of short- and long-run asymmetry. Findings The findings revealed the long- and short-run asymmetric impact of the COVID-19 outbreak and the peak of the COVID-19 on housing prices. The results indicate that the peak of COVID-19 had a greater impact on housing prices in comparison to the outbreak of COVID-19. This can be explained as prices will revert to normal at a speed of 0.978% with the decline in the number of COVID-19 cases. Whereas the housing prices rise at a rate of 0.714 as a result of government intervention to deal with the ill effects of the COVID-19 outbreak. Moreover, it can be inferred that both the outbreak and peak of COVID-19 will lead to a minimal decline in housing prices, while with the decline in the number of cases and reduction in the impact of the outbreak of COVID, the housing prices will rise at an increasing rate. Originality/value To the best of the authors’ knowledge, this is the first study to understand the impact of the outbreak and peak of COVID-19 on the housing prices separately.

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Joop de Wit, Urban Poverty, Local Governance and Everyday Politics in Mumbai. New Delhi: Routledge, ₹795, 320 pp.

This paper presents the current andfuture work on a Distributed Service Provider Simulation (DSPS) using CORBA that keeps track of available parking slots and tables in restaurants in a dynamic fmhion. The communication architecture of the DSPS simulator is based on the Object Management Groups (OMG) Common Object Request Broker Architecture (CORBA) standard Starting with an overview of the project requirements, the CORBA middleware and the software modules of the DSPS environment are described with respect to project requirements. With the DSPS simulating restaurant reservation system, performance measurements evaluating critical design and implementation decisions are described. The main aspects of the performance analysis are the attained application performance using CORBA as communication middleware, and the scalability of the overall approach. The evaluation shows the appropriateness of the design of the DSPS environment and the derived sofrware architecture. which is flexible and open to further extensions.