Similar Search Results

Sequential Estimation of Structural Models with a Fixed Point Constraint

Kasahara, Hiroyuki; Shimotsu, Katsumi - CESifo - 2008

This paper considers the estimation problem of structural models for which empirical restrictions are characterized by a fixed point constraint, such as structural dynamic discrete choice models or models of dynamic games. We analyze the conditions under which the nested pseudo-likelihood (NPL)...

Persistent link: https://www.econbiz.de/10005416516

Sequential Estimation of Structural Models with a Fixed Point Constraint

Kasahara, Hiroyuki - 2008

Persistent link: https://www.econbiz.de/10012768155

Spurious Weather Effects

Lind, Jo Thori - 2015

Rainfall is a truly exogeneous variable and hence popular as an instrument for many outcomes. But by its very nature, rainfall in nearby areas tends to be correlated. I show theoretically that if there are also spatial trends in outcomes of interest, this may create spurious correlation. In...

Persistent link: https://www.econbiz.de/10013021697

Dissecting Characteristics Nonparametrically

Freyberger, Joachim - 2018

We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...

Persistent link: https://www.econbiz.de/10012910613

Evaluating Nationwide Health Interventions When Standard Before-After Doesn't Work : Malawi's ITN Distribution Program

Deuchert, Eva - 2010

. We show that in this case the evaluation problem can be divided into two parts: (i) the effect of the intervention on …

Persistent link: https://www.econbiz.de/10013144025

Generalized Propensity Scores for Multiple Continuous Treatment Variables

Egger, Peter - 2013

This paper illustrates that the generalized propensity score method can easily be applied with multiple continuous endogenous treatment variables. Consistency proofs carry over straightforwardly to this general case, and the approach is shown to work well in finite samples with various...

Persistent link: https://www.econbiz.de/10013087726

Dissecting Characteristics Nonparametrically

Freyberger, Joachim - 2017

We propose a nonparametric method to test which characteristics provide independent information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...

Persistent link: https://www.econbiz.de/10012958874

Default Predictors and Credit Scoring Models for Retail Banking

Kočenda, Evžen - 2013

This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...

Persistent link: https://www.econbiz.de/10013095290

Personality Traits and the Evaluation of Start-Up Subsidies

Caliendo, Marco - 2016

. Evaluation studies of such programmes commonly rely on the conditional independence assumption (CIA), allowing a causal … success, these variables were neglected in evaluation studies so far due to data limitations. In this paper, we evaluate a new … start-up subsidy for unemployed individuals in Germany using propensity score matching under the CIA. Having access to rich …

Persistent link: https://www.econbiz.de/10012997304

Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models

Badinger, Harald; Egger, Peter - CESifo - 2009

This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...

Persistent link: https://www.econbiz.de/10005405754