We provide evidence on the least biased ways to identify causal effects in situations where there are multiple outcomes that all depend on the same endogenous regressor and a reasonable but potentially contaminated instrumental variable that is available. Simulations provide suggestive evidence...

Low-input production systems aim at mitigating agriculture's environmental impact with a lower level of chemical inputs. However, comparing the performance of low-input systems to conventional ones, particularly in terms of productivity and yield, is challenging due to selection bias. First, we...

Modeling policy effects in the context of high-dimensional data requires a balanced consideration of omitted interaction bias and overfitting problems. This paper investigates the role of machine learning algorithms in stabilizing estimates and demonstrates the possible regularization bias...

In this paper, we test cointegration between GDP and Public consumption of the Republic of North Macedonia, for quarterly data of twenty years' time series (2000Q1-2019Q4). We present results of two methods for cointegration test: first, residual regression test table and second, Engle & Granger...

In this paper, we study the asymptotic behavior of specification tests in conditional moment restriction models under first-order local identification failure with dependent data. More specifically, we obtain conditions under which the conventional specification test for conditional moment...

After more than a decade of existence, crypto-currencies may now be considered an important class of assets presenting some unique appealing characteristics but also sharing some features with real financial assets. This paper provides a comprehensive statistical analysis of the six most...

This paper attempts a re-examination of the relationship between the output volatility and economic growth using an annual data set for select 67 countries for the period 1978 to 2017 spanning over 40 years. Towards this objective cross section and panel, regressions are estimated for different...

Studying women's entrepreneurial intentions is critical not only for encouraging women's entrepreneurship but also for developing their entrepreneurial competencies. However, in the case of Lebanon, there is still a gap in the scientific studies related to identifying factors influencing women's...

This note studies the criterion for identifiability in parametric models based on the minimization of the Hellinger distance and exhibits its relationship to the identifiability criterion based on the Fisher matrix. It shows that the Hellinger distance criterion serves to establish...

Taking into consideration the specifics of the Russian economy such as dependency on oil and gas drilling & production, and including the current context of the Western sanctions, COVID-19 pandemic, as well as somewhat idiosyncratic potential output development, the main aim of this paper is to...