We offer a new strategy to identify the distribution of treatment effects using data from the Infant Health and Development Program (IHDP), a relatively understudied early-childhood intervention for low birth-weight infants. We introduce a new policy parameter, QCD, which denotes quantiles of...

North Cyprus, experiencing the disadvantages of being small, based its development on services sector. In recent years, higher education sector has developed rapidly and contributed to the growth of the economy significantly. In this study, using the 1990 input-output tables and the input-output...

The current paper studies equity markets for the contagion of squared index returns as a proxy for stock market volatility, which has not been studied earlier. The study examines squared stock index returns of equity in 35 markets, including the US, UK, Euro Zone and BRICS (Brazil, Russia,...

As the novel coronavirus progressed from Wuhan to various parts of the globe, governments were faced with a tradeoff: to go into lockdown to save lives but hurt the economy, or stay open to save the economy but lose lives. At the time, those in favour of the lockdown had empirical data to show...

We develop a similarity-based structural vector autoregressive (SVAR) model using the similar clusters of data relevant for the prevailing initial macroeconomic conditions of interest. Our computationally attractive simple approach enables us to uncover time-varying effects of structural...

This is the first paper that econometrically estimates the impact of the rising Bioenergy production on the global CO2 emissions. We apply a structural vector autoregression (SVAR) approach to time series with annual observation for the world biofuel production and global CO2 emissions from 1961...

This study investigates the effects of a monetary policy shock on real output and prices, by means of a novel distribution-free nonrecursive identification scheme for structural vector autoregressions. Structural shocks are assumed to be mutually independent. The identification procedure is...

This is the first paper that econometrically estimates the impact of rising Bioenergy production on global CO2 emissions. We apply a structural vector autoregression (SVAR) approach to time series from 1961 to 2009 with annual observation for the world biofuel production and global CO2...

We introduce a simple nonparametric approach to compute impulse response functions. We first search for clusters of recurrent patterns of observations resembling two sets of given initial conditions, one of which contains the impact effect of the structural shock of interest. Then, to trace out...

In cases of non-compliance with a prescribed treatment, estimates of causal effects typically rely on instrumental variables. However, when participation is also misreported, this approach can be severely biased. We provide an instrumental variable method that researchers can use to identify the...