Showing 1 - 10 of 502
We propose a demand model where consumers simultaneously choose a few different goodsfrom a large menu of available … goods, and choose how much to consume of each good. Themodel nests multinomial discrete choice and continuous demand systems … purchasing different numbers of typesof goods. We show semiparametric identification of the model. We apply the model to …
Persistent link: https://www.econbiz.de/10012101423
We establish the consistency and asymptotic normality for a class of estimators that are linear combinations of a set of √n– consistent estimators whose cardinality increases with sample size. A special case of our framework corresponds to the conditional moment restriction and the implied...
Persistent link: https://www.econbiz.de/10009620338
This paper considers the finite sample distribution of the 2SLS estimator and derives bounds on its exact bias in the presence of weak and/or many instruments. We then contrast the behavior of the exact bias expressions and the asymptotic expansions currently popular in the literature, including...
Persistent link: https://www.econbiz.de/10011300710
identification of discrete choice models of demand, we exploit shape restrictions on demand implied by discrete choice to generate a …In this paper we introduce a new approach to estimating a differentiated product demand system that allows for error in … demand estimation techniques. Although we find that error in market shares generally undermine the standard point …
Persistent link: https://www.econbiz.de/10009707190
In a model with endogenous regressors, heteroskedastic and autocorrelated (HAC) errors and weak instruments, tests that depend on the data only through the Anderson-Rubin (AR) and Lagrange Multiplier (LM) statistics ignore important information on the regression coefficients. This is in contrast...
Persistent link: https://www.econbiz.de/10011958229
We study identification and estimation of the average treatment effect in a correlated random coefficients model that … interactions between endogenous variables and covariates. Our identification approach is based on averaging the coefficients … identification strategy suggests a transparent and computationally straightforward estimator of a trimmed average treatment effect …
Persistent link: https://www.econbiz.de/10010227690
We study identification and estimation in a binary response model with random coefficients B allowed to be correlated …
Persistent link: https://www.econbiz.de/10009728916
We consider the bias of the 2SLS estimator in the linear instrumental vari-ables regression with one endogenous regressor only. By using asymptotic expansion techniques we approximate 2SLS coefficient estimation bias under various scenarios regarding the number and strength of instruments.The...
Persistent link: https://www.econbiz.de/10003989911
In nonparametric instrumental variables estimation, the mapping that identifies the function of interest, g say, is discontinuous and must be regularised (that is, modified) to make consistent estimation possible. The amount of modification is contolled by a regularisation parameter. The optimal...
Persistent link: https://www.econbiz.de/10009760143
point identification is achieved by assuming that g is a linear function of X. However, the assumption of linearity is … restrictions, such as monotonicity or convexity, for achieving interval identification of L(g). Economic theory often provides such …
Persistent link: https://www.econbiz.de/10009761386