Similar Search Results

Matching as a regression estimator : matching avoids making assumptions about the functional form of the regression equation, making analysis more reliable

Black, Dan A. - 2015

"Matching" is a statistical technique used to evaluate the effect of a treatment by comparing the treated and non …-treated units in an observational study. Matching provides an alternative to older estimation methods, such as ordinary least … remarkable increase in computing power since then has made other methods, in particular matching, very easy to implement. …

Persistent link: https://www.econbiz.de/10011433502

Chapter 71 Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New Environments

Heckman, James J.; Vytlacil, Edward J. - In: Handbook of econometrics : volume 6B, (pp. 4875-5143). 2007

marginal treatment effect. All of the estimation methods used in the applied evaluation literature, such as matching …

Persistent link: https://www.econbiz.de/10014024944

Minimum wage and employment : escaping the parametric straitjacket

Cabras, Stefano; Fidrmuc, Jan; Tena Horrillo, Juan de Dios - 2017

Parametric regression models are often not flexible enough to capture the true relationships as they tend to rely on arbitrary identification assumptions. Using the UK Labor Force Survey, the authors estimate the causal effect of national minimum wage (NMW) increases on the probability of job...

Persistent link: https://www.econbiz.de/10011657295

Minimum wage and employment : escaping the parametric straitjacket

Cabras, Stefano; Fidrmuc, Jan; Tena Horrillo, Juan de Dios - 2016

Persistent link: https://www.econbiz.de/10011456525

Reducing Errors-in-Variables Bias in Linear Regression Using Compact Genetic Algorithms

Diyarbakirlioglu, Erkin; Satman, Mehmet Hakan - 2020

A new technique is devised to mitigate the errors-in-variables bias in linear regression. The procedure mimics a 2-stage least squares procedure where an auxiliary regression which generates a better behaved predictor variable is derived. The generated variable is then used as a substitute for...

Persistent link: https://www.econbiz.de/10014102272

Efficient XVA Management : Pricing, Hedging, and Allocation Using Trade-Level Regression and Global Conditioning

Kenyon, Chris - 2014

Banks must manage their trading books, not just value them. Pricing includes valuation adjustments collectively known as XVA (at least credit, funding, capital and tax), so management must also include XVA. In trading book management we focus on pricing, hedging, and allocation of prices or...

Persistent link: https://www.econbiz.de/10013040052

Estimating Simple Regression and Seemingly Unrelated Regressions with Error Component Disturbances

2006

The estimation of regressions models with two-way error component disurbances, is considered for the case where both the random effects are non-spherically distributed. The usual approach that first transforms the effects into uncorrelated ones and then applies within and between...

Persistent link: https://www.econbiz.de/10012732873

Functional linear regression : a case study from the food industry

Knížat, Peter - In: Ekonomické rozhl'ady 53 (2024) 1, pp. 22-31

A problem of analyzing functions in statistics is a very recent phenomenon that has been extensively investigated. The functionality in observed data, that is, when data are generated through a process naturally described as functional, occurs in many areas of sciences. For example, time series...

Persistent link: https://www.econbiz.de/10015418431

On Goodness of Fit Measures for Gini Regression

Shelef, Amit; Schechtman, Edna - 2021

The semi parametric Gini regression is more robust than ordinary least squares (OLS) regression when the underlying assumptions of the OLS fail and therefore has been used by many researchers. Several measures for goodness of fit of Gini regression were suggested in the literature. However, to...

Persistent link: https://www.econbiz.de/10013251207

Genetic Algorithms : A Tool for Optimization in Econometrics - Basic Concept and an Example for Empirical Applications

Czarnitzki, Dirk; Doherr, Thorsten - 2008

This paper discusses a tool for optimization of econometric models based on genetic algorithms. First, we briefly describe the concept of this optimization technique. Then, we explain the design of a specifically developed algorithm and apply it to a difficult econometric problem, the...

Persistent link: https://www.econbiz.de/10014112767