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...

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...

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...

In this paper, we measure the impact, in relative terms, of Covid-19 pandemic and the actions implemented to deal with it, on the Spanish mortality rates during year 2020. This study has been carried out age by age, distinguishing between male and female populations. The methodology we propose...

This paper establishes the statistical relationship between world business cycle and global temperature cycle. To amplify the signal to noise ratio, the two-state latent dynamics is estimated from the original process by utilizing the newly developed endogenous regime switching methodology of...

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...

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...

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...

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...

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...