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We measure firm-level productivity changes in the Indian electricity sector during a period that witnessed several pro-market regulatory changes. Using information collected from multiple sources we construct a unique panel of generating firms and transmission and distribution utilities spanning...
Persistent link: https://www.econbiz.de/10013087453
Output and input market distortions manifest as wedges in the firm's first order conditions. The production approach to markup estimation recovers the markup wedge using the output elasticity for a variable and undistorted input. We show that using the revenue elasticity for any variable input,...
Persistent link: https://www.econbiz.de/10013210935
Two measures of an error-ridden explanatory variable make it possible to solve the classical errors-in-variable problem by using one measure as an instrument for the other. It is well known that a second IV estimate can be obtained by reversing the roles of the two measures. We explore a simple...
Persistent link: https://www.econbiz.de/10014046022
Recently there has been renewed debate about the relative merits of VaR and CVaR as measures of financial risk. VaR is not coherent and does not quantify the risk beyond VaR, while CVaR shows some computational instabilities and is not 'elicitable' (Gneiting 2010, Ziegel 2013). It is argued in...
Persistent link: https://www.econbiz.de/10013074242
We describe characteristics of various risk measures (Value-at-Risk, Expected Shortfall, etc.) that are used to analyze and quantify the tail risk exposure, and discuss their relative strengths and weaknesses. Emphasis is placed on presenting and comparing methodologies to compute and backtest...
Persistent link: https://www.econbiz.de/10013053188
risk of taking the measurements. For it is necessary to develop methods of risk measurement, VaR on asset returns … approach. This method implements the VaR measurement and VaR sensitivity of the asset return data are first estimated using a …
Persistent link: https://www.econbiz.de/10013056260
In linear regression models, measurement error in a covariate causes Ordinary Least Squares (OLS) to be biased and …
Persistent link: https://www.econbiz.de/10014388449
The impact of measurement error in explanatory variables on quantile regression functions is investigated using a small … approximation to investigate the sensitivity of estimates to varying amounts of measurement error. …
Persistent link: https://www.econbiz.de/10011644163
Researchers are often interested in the relationship between two variables, with no single data set containing both. A common strategy is to use proxies for the dependent variable that are common to two surveys to impute the dependent variable into the data set containing the independent...
Persistent link: https://www.econbiz.de/10012028000
Researchers are often interested in the relationship between two variables, with no single data set containing both. A common strategy is to use proxies for the dependent variable that are common to two surveys to impute the dependent variable into the data set containing the independent...
Persistent link: https://www.econbiz.de/10012030125