This paper investigates the increased role of extractive industry, particularly oil and gas, within Dutch disease model between 2000-2018 in Azerbaijan economy. phenomenon befalls when national economy produces exports a single commodity or particular sector becomes booming sector. Increased goods spendings accumulated mineral revenue appreciate currency, decreasing competitiveness thus product...

This paper examines economic returns to schooling for China’s Korean minority in the urban labour market using ordinary least squares (OLS) and two-stage least squares. The OLS estimates of the returns to schooling are similar to findings from recent studies for the Chinese urban labour market. We use father’s education, mother’s education and spouse’s education to instrument for education. The...

Skewed data is the main issue in statistical models in healthcare costs. Data transformation is a conventional method to decrease skewness, but there are some disadvantages. Some recent studies have employed generalized linear models (GLMs) and Cox proportional hazard regression as alternative estimators. The aim of this study was to investigate how well these alternative estimators perform in ...

This study is motivated by the potential problem of using observational data to draw inferences about treatment outcomes when experimental data are not available. We compare two statistical approaches, ordinary least-squares (OLS) and instrumental variables (IV) regression analysis, to estimate the outcomes (three-year post-treatment survival) of three treatments for early stage breast cancer i...

We address the problem of fast estimation of ordinary least squares (OLS) from large amounts of data (n p). We propose three methods which solve the big data problem by subsampling the covariance matrix using either a single or two stage estimation. All three run in the order of size of input i.e. O(np) and our best method, Uluru, gives an error bound of O( √ p/n) which is independent of the am...

Letting ) (i S be the i-th largest city in a country, it is often observed that i S i log log 1 0 ) ( α α + ≈ for some 0 0 > α and 0 1 < α . It is called rank size rule when 1 1 − = α . This relationship has been examined by means of ordinary least squares estimation and t test in the literature. However, since ) (i S is heteroskedastic and autocorrelated, t statistics do not have standard dist...

The least squares problem is formulated in terms of lp quasi-norm regularization (0 < p < 1). Two formulations are considered: (i) an lp-constrained optimization and (ii) an lp-penalized (unconstrained) optimization. Due to the nonconvexity of the lp quasi-norm, the solution paths of the regularized least squares problem are not ensured to be continuous. A critical path, which is a maximal cont...

We consider the least-squares finite element method (lsfem) for systems of nonlinear ordinary differential equations, and establish an optimal error estimate this when piecewise linear elements are used. The main assumptions that vector field is sufficiently smooth local Lipschitz constant as well operator norm Jacobian matrix associated with nonlinearity small, restricted to a suitable neighbo...