This paper investigated the impact of Foreign Direct Investment on some selected macro-economic variables such as real GDP, gross fixed capital formation and unemployment. Data for the variables were sourced from the Central Bank of Nigeria’s Statistical Bulletin. For the assessment of this...

This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

Recent developments in time series analysis have encouraged the economists to re-examine their findings about the Wagner’s Law. That is why, the aggregation in public expenditures may lead some contradictions, disaggregated analyses should perform to have more consistent results. In this...

Experience from the United Kingdom and the United States suggests that expert evidence is often reshaped and repackaged by governments so that it supports existing policy rather than informing policy decisions. The Australian government based its decision to introduce FuelWatch on evidence in...

We develop a novel approach to build checks of parametric regression models when many regressors are present, based on a class of sufficiently rich semiparametric alternatives, namely single-index models. We propose an omnibus test based on the kernel method that performs against a sequence of...

This paper applied a stochastic translog production function to examine the underlying causes of technical inefficiency for 28 provinces in the mainland China over the period 1970-2004. We found that inefficiency was present in production and several relevant explanatory variables contributed to...

This paper studies the problem of treatment choice between a status quo treatment with a known outcome distribution and an innovation whose outcomes are observed only in a finite sample. I evaluate statistical decision rules, which are functions that map sample outcomes into the planner’s...

To study the influence of a bandwidth parameter in inference with conditional moments, we propose a new class of estimators and establish an asymptotic representation of our estimator as a process indexed by a bandwidth, which can vary within a wide range including bandwidths independent of the...

We propose inverse probability weighted estimators for the distribution functions of the potential outcomes under the unconfoundedness assumption and apply the inverse mapping to obtain the quantile functions. We show that these estimators converge weakly to zero mean Gaussian processes. A...