A structural stability condition is sought for least squares linear prediction methods in the given data case. Save the Toeplitz case, the structure of the normal equation matrix yields no acknowledged guarantee of stability. Here, a new sufficient condition is provided, and several least squares prediction methods are shown to be structurally stable.

By incorporating temporal effects into the geographically weighted regression (GWR) model, an extended GWR model, geographically and temporally weighted regression (GTWR), has been developed to deal with both spatial and temporal nonstationarity simultaneously in real estate market data. Unlike the standard GWR model, GTWR integrates both temporal and spatial information in the weighting matric...

To evaluate and improve the quality of land surface albedo products, validation with ground measurements of albedo is crucial over the spatially and temporally heterogeneous land surface. One of the essential steps for satellite albedo product validation is coarse scale observation technique development with long time ground-based measurements. In this paper, the optimal nodes were selected fro...

This paper employs the Ordinary Least Squares, Instrumental Variables and Treatment Effect models to a new dataset from the Vietnam Household Living Standards Survey (VHLSS) to estimate return to four-year university education in 2008. Our estimates reveal that income premium of four-year university education is about 97 percent above that of high school education, and robust to the various est...

In recent years, the interest in the study of outlier robustness properties in Extreme Learning Machines (ELM) has grown. Most of the published works uses a more robust estimation method than the commonly adopted ordinary least squares. Nevertheless, the ELM network offers other challenges that also influence its robustness properties, such as the number of hidden neurons and the computational ...

This paper examines the relationship between economic growth and tourism development in seven Mediterranean countries. The purpose of this paper is to investigate empirically the long-run relationship between economic growth and tourism development in a multivariate model with tourism real receipts per capita, the number of international tourist arrivals per capita; real effective exchange rate...

This study estimates the effects of Internet usage, financial development and trade openness on economic growth using annual time series data for South Africa for the period 1991-2013. Structural unit root test and Johansen and ARDL cointegration tests are performed to examine the long run relationship amongst Internet usage, financial development, trade openness and economic growth. Findings f...

We study the factors affecting the academic performance of economics students at a small Canadian university using the Ordered Probit method, with Ordinary Least Squares and the Propensity Score Matching method used in robustness checks. Graded homework, shown to have ambiguous effects in previous work, here had a positive effect. A major contribution of the study is its analysis for various su...

Online markets play an important role for both online sellers and online buyers. Previous research has identified problems of information asymmetry in the online used goods markets, this research explore whether there are similar problems in the new-goods online markets. Grounded in “lemon market” theory, this study used panel data captured from eBay Motors. Employing Ordinary Least Squares ana...

This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient example is given by Best Linear Predictors under square loss, or Ordinary Least Squares regressions, with missing outcome data, in which case the setup specializes the more general but intractable problem examined by Horowit...