Search results for: Global financial crisis
Vighneswara Swamy, World Economics, June 2019
The global financial crisis caused a huge loss of economic output, depletion of financial wealth, extended unemployment, psychological consequences and other significant costs. A quantitative exploration of modelling loss-in-output as a cost of financial crisis using macroeconomic indicators is useful in understanding the impact of a crisis. The conservative estimates for India suggest that, over a period of ten years, a financial crisis can cause a cumulative loss-in-output ranging from 48% of GDP to 59% of GDP after discounting at 0.025 and 0.07 respectively. Intermediate values are also explored. Estimating loss-in-output in terms of GDP simplifies estimation of the impact of financial crises. Policymakers and regulators must be more prudent and alert in sensing the early indicators of a financial crisis and act swiftly in containing its perils.
Siddhartha K. Rastogi & Pradyun Rame Mehrotra, World Economics, March 2018
Labour market data in India shows female participation declining as GDP has increased, a phenomenon found in other East Asian economies over past two decades. This contradicts empirical observations, which argue over the feminization of the work force due to participation in global export markets, primarily driven by wage efficiency of female labour. The impact of the global financial crisis on female participation rates in rural India in 2009-10 is studied with a cross-state analysis to test theories about female unemployment in a downturn. One of the major findings is that as the formal wage difference between men and women decreases, the female participation gap increases, but more data is needed to identify critical causal factors.
David Rees, World Economics, March 2018
The global financial crisis, followed by a global portfolio shift towards commercial real estate, has reinforced the demand for timely, consistent and transparent valuation metrics and transactions data. Current initiatives at global, country and market level are addressing shortcomings in this area; nevertheless commercial real estate markets pose unique data collection and presentation challenges. While users of these data should be aware of the difficulties and qualifications inherent in the collection and compilation process, enforcing uniformity of processes and definitions across markets and sub-sectors may come at a cost. Propositions that more data are always better than less and that market transparency is always better than opacity are fruitful topics for debate in the context of commercial real estate markets.
Displaying: 1-3 of 3