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Nonparametric Identification in Structural Economic Models
Matzkin, Rosa L. - In: Annual Review of Economics 5 (2013) 1, pp. 457-486
provided ways to achieve identification of these primitive functions and distributions without imposing parametric restrictions … taken to develop nonparametric identification results in those models. …
Persistent link: https://www.econbiz.de/10010822971
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Quantile Models with Endogeneity
Chernozhukov, V.; Hansen, C. - In: Annual Review of Economics 5 (2013) 1, pp. 57-81
In this article, we review quantile models with endogeneity. We focus on models that achieve identification through the … use of instrumental variables and discuss conditions under which partial and point identification are obtained. We discuss … the identification results of <xref ref-type="bibr" rid="B11">Chernozhukov & Hansen (2005). We illustrate the modeling …
Persistent link: https://www.econbiz.de/10011004689
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Testing the quantity-quality model of fertility : Estimation using unrestricted family size models
Mogstad, Magne; Wiswall, Matthew - In: Quantitative economics : QE ; journal of the … 7 (2016) 1, pp. 157-192
We examine the relationship between child quantity and quality. Motivated by the theoretical ambiguity regarding the sign of the marginal effects of additional siblings on children’s outcomes, our empirical model allows for an unrestricted relationship between family size and child outcomes....
Persistent link: https://www.econbiz.de/10011798965
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Evaluating eigenvector spatial filter corrections for omitted georeferenced variables
Griffith, Daniel A.; Chun, Yongwan - In: Econometrics 4 (2016) 2, pp. 1-12
The Ramsey regression equation specification error test (RESET) furnishes a diagnostic for omitted variables in a linear regression model specification (i.e., the null hypothesis is no omitted variables). Integer powers of fitted values from a regression analysis are introduced as additional...
Persistent link: https://www.econbiz.de/10011755334
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Evaluating eigenvector spatial filter corrections for omitted georeferenced variables
Griffith, Daniel A.; Chun, Yongwan - In: Econometrics : open access journal 4 (2016) 2, pp. 1-12
The Ramsey regression equation specification error test (RESET) furnishes a diagnostic for omitted variables in a linear regression model specification (i.e., the null hypothesis is no omitted variables). Integer powers of fitted values from a regression analysis are introduced as additional...
Persistent link: https://www.econbiz.de/10011506413
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Replication to assess statistical adequacy
Owen, P. Dorian - In: Economics: The Open-Access, Open-Assessment E-Journal 12 (2018) 2018-60, pp. 1-16
"Statistical adequacy" is an important prerequisite for securing reliable inference in empirical modelling. This paper argues for more emphasis on replication that specifically assesses whether the results reported in empirical studies are based on statistically adequate models, i.e., models...
Persistent link: https://www.econbiz.de/10011917552
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The perils of peer effects
Angrist, Joshua D. - In: Labour Economics 30 (2014) C, pp. 98-108
Individual outcomes are highly correlated with group average outcomes, a fact often interpreted as a causal peer effect. Without covariates, however, outcome-on-outcome peer effects are vacuous, either unity or, if the average is defined as a leave-out mean, determined by a generic intraclass...
Persistent link: https://www.econbiz.de/10011077495
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A new matrix statistic for the hausman endogeneity test under heteroskedasticity
Papadopoulos, Alecos - In: Econometrics : open access journal 11 (2023) 4, pp. 1-11
We derive a new matrix statistic for the Hausman test for endogeneity in cross-sectional Instrumental Variables estimation, that incorporates heteroskedasticity in a natural way and does not use a generalized inverse. A Monte Carlo study examines the performance of the statistic for different...
Persistent link: https://www.econbiz.de/10014507912
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Chapter 7. Endogeneity in Empirical Corporate Finance 1
Roberts, Michael R.; Whited, Toni M. - 2013
This chapter discusses how applied researchers in corporate finance can address endogeneity concerns. We begin by reviewing the sources of endogeneity—omitted variables, simultaneity, and measurement error—and their implications for inference. We then discuss in detail a number of...
Persistent link: https://www.econbiz.de/10014025557
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Instrumental variables estimation with partially missing instruments
Mogstad, M.; Wiswall, M. - In: Economics Letters 114 (2012) 2, pp. 186-189
This paper shows that instrumental variables estimators currently in use, require strong but neglected auxiliary assumptions to be consistent in situations with partially missing instruments. We introduce an alternative instrumental variables estimator that does not require auxiliary assumptions.
Persistent link: https://www.econbiz.de/10010572211