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Almost unbiased estimation in simultaneous equations models with strong and/or weak instruments

Iglesias, Emma M.; Phillips, Garry D. A. - 2011 - This version: August 2011

We propose two simple bias reduction procedures that apply to estimators in a general static simultaneous equation model and which are valid under reatively weak distributional assumptions for the errors. Standard jackknife estimators, as applied to 2SLS, may not reduce the bias of the exogenous...

Persistent link: https://www.econbiz.de/10009260061

Semiparametric Estimation of Consumer Demand Systems in Real Expenditure

Pendakur, Krishna - 2012

Consumer demand microdata typically exhibit a great deal of expenditure variation but not very much price variation. In this paper, we propose a semiparametric approach to the consumer demand problem in which expenditure share equations are nonparametric in the real expenditure direction and...

Persistent link: https://www.econbiz.de/10012712967

Estimation and inference in large heterogenous panels with cross section dependence

Pesaran, M. Hashem - 2003

This paper presents a new approach to estimation and inference in panel data models with unobserved common factors possibly correlated with exogenously given individual-specific regressors and/or the observed common effects. The basic idea behind the proposed estimation procedure is to filter...

Persistent link: https://www.econbiz.de/10011505911

Quantile regression with generated regressors

Chen, Liqiong; Galvao, Antonio Fialho <Jr.>; Song, Suyong - In: Econometrics : open access journal 9 (2021) 2, pp. 1-35

Family Expenditure Survey. We document strong heterogeneity in the estimated Engel curves along the conditional distribution …

Persistent link: https://www.econbiz.de/10012504016

Unobservable, but unimportant? : the influence of personality traits (and other usually unobserved variables) for the estimation of treatment effects ; conference paper

Caliendo, Marco; Mahlstedt, Robert; Mitnik, Oscar A. - 2014 - Preliminary version, this draft: February 28, 2014

A large and highly used number of treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non testable. When evaluating the effects of labor market policies, researchers need to observe both variables that affect treatment...

Persistent link: https://www.econbiz.de/10010487253

Heterogeneity and asymmetry in cross-section gravity models of aggregate migration

Peeters, Ludo - 2010

factors have been included to account for potentially correlated heterogeneity in the bilateral dimension that is … unobserved heterogeneity in all three dimensions results in appreciably lower magnitudes of all coefficients (except the one on …

Persistent link: https://www.econbiz.de/10012608069

Sample selection models without exclusion restrictions : parameter heterogeneity and partial identification

Honoré, Bo E.; Hu, Luojia - 2022

exclusion restrictions. We extend the analysis in Honor'e and Hu (2020) by allowing for parameter heterogeneity and derive …

Persistent link: https://www.econbiz.de/10013332258

Heterogeneity, uncertainty and learning : semiparametric identification and estimation

Bunting, Jackson; Diegert, Paul; Maurel, Arnaud - 2025

types of unobservables: known heterogeneity, initially unknown heterogeneity that may be revealed over time, and transitory … standard assumption that unknown heterogeneity and uncertainty are normally distributed. We also show that, absent known … heterogeneity, the model is identified without making any distributional assumption. We then derive the asymptotic properties of a …

Persistent link: https://www.econbiz.de/10015417780

Testing for Money Illusion Hypothesis in Aggregate Consumption Function : Mixed Data Sampling Approach

Motegi, Kaiji - 2015

Testing for the money illusion hypothesis in aggregate consumption function generally involves a regression model that projects real consumption onto nominal disposable income and a consumer price index. Price data are usually available at a monthly level, but consumption and income data are...

Persistent link: https://www.econbiz.de/10013013202

Causality Analysis and Multivariate Autoregressive Modelling with an Application to Supermarket Sales Analysis

Caines, Peter - 2014

This paper describes a modelling methodology for multivariate stochastic processes. The concept of multiple causality is discussed and a procedure to detect multiple causality is suggested. The data of a major Canadian supermarket is analyzed and a multivariate autoregressive model for this...

Persistent link: https://www.econbiz.de/10012751654