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Impact of Selected Rural Development Programmes on Poverty Alleviation in Ikwuano LGA, Abia State, Nigeria

Nwachukwu, Ifeanyi N.; Ezeh, Chima I. - 2007

Rural development is a veritable tool for fighting poverty and achieving economic prosperity at the grassroots level. The concept of rural development embraced by most countries connotes a process through which rural poverty is alleviated by sustained increases in the productivity and incomes of...

Persistent link: https://www.econbiz.de/10015215856

The specification of the propensity score in multilevel observational studies

Arpino, Bruno; Mealli, Fabrizia - 2008

Propensity Score Matching (PSM) has become a popular approach to estimation of causal effects. It relies on the assumption that selection into a treatment can be explained purely in terms of observable characteristics (the “unconfoundedness assumption”) and on the property that balancing on...

Persistent link: https://www.econbiz.de/10015218246

Statistical Analysis of the Relationship between Public Transport Accessibility and Flat Prices in Riga

Pavlyuk, Dmitry - 2009

A relationship between public transport accessibility and residential land value is a point of interest of many recent researches. A hedonic price regression model, widely used in this research area, has one very important shortcoming – it calculates an "average" influence of factors on land...

Persistent link: https://www.econbiz.de/10015220498

Mean, Median or Mode? A Striking Conclusion From Lottery Experiments

Kontek, Krzysztof - 2010

This paper deals with estimating data from experiments determining lottery certainty equivalents. The paper presents the parametric and nonparametric results of the least squares (mean), quantile (including median) and mode estimations. The examined data are found to be positively skewed for low...

Persistent link: https://www.econbiz.de/10015221042

Density Based Regression for Inhomogeneous Data: Application to Lottery Experiments

Kontek, Krzysztof - 2010

This paper presents a regression procedure for inhomogeneous data characterized by varying variance, skewness and kurtosis or by an unequal amount of data over the estimation domain. The concept is based first on the estimation of the densities of an observed variable for given values of...

Persistent link: https://www.econbiz.de/10015221319

Estimation of Peaked Densities Over the Interval [0,1] Using Two-Sided Power Distribution: Application to Lottery Experiments

Kontek, Krzysztof - 2010

This paper deals with estimating peaked densities over the interval [0,1] using two-sided power distribution (Kotz, van Dorp, 2004). Such data were encountered in experiments determining certainty equivalents of lotteries (Kontek, 2010). This paper summarizes the basic properties of the...

Persistent link: https://www.econbiz.de/10015221380

Power Properties of Invariant Tests for Spatial Autocorrelation in Linear Regression

Martellosio, Federico - 2006

This paper derives some exact power properties of tests for spatial autocorrelation in the context of a linear … regression model. In particular, we characterize the circumstances in which the power vanishes as the autocorrelation increases … analysis in the paper sheds new light on how the power of tests for spatial autocorrelation is affected by the matrix of …

Persistent link: https://www.econbiz.de/10015221711

The Mean Squared Prediction Error Paradox: A summary

Pincheira, Pablo; Hardy, Nicolas - 2020

This is a summary of the paper entitled : “The Mean Squared Prediction Error Paradox”. In that paper, we show that traditional comparisons of Mean Squared Prediction Error (MSPE) between two competing forecasts may be highly controversial. This is so because when some specific conditions of...

Persistent link: https://www.econbiz.de/10015229363

Factors Affecting the Magnitude of Poor Families Across the Philippines: A Cross Section Data Analysis

Deluna, Roperto Jr - 2011

This study is conducted to determine the factors affecting magnitude of poor families in the Philippines and measure the effect of the variables presented. The model was estimated using the Ordinary Least Square (OLS) procedure and cross sectional data set consisting of the 16 regions in the...

Persistent link: https://www.econbiz.de/10015230610

A Non-Parametric Approach to Spatial Causality

Herrera Gómez, Marcos; Ruiz Marín, Manuel; Mur … - 2010

The purpose of this paper is to show the capacity of a new non-parametric test based on symbolic entropy and symbolic dynamics to deal with the detection of linear and non-linear spatial causality. The good performance of the new test in detecting spatial causality and causal weighting matrix is...

Persistent link: https://www.econbiz.de/10015230703