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92
Alternative Approaches to Evaluation in Empirical Microeconomics
, 2002
"... Four alternative but related approaches to empirical evaluation of policy interventions are studied: social experiments, natural experiments, matching methods, and instrumental variables. In each case the necessary assumptions and the data requirements are considered for estimation of a number of ke ..."
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Cited by 144 (1 self)
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Four alternative but related approaches to empirical evaluation of policy interventions are studied: social experiments, natural experiments, matching methods, and instrumental variables. In each case the necessary assumptions and the data requirements are considered for estimation of a number of key parameters of interest. These key parameters include the average treatment effect, the treatment of the treated and the local average treatment effect. Some issues of implementation and interpretation are discussed drawing on the labour market programme evaluation literature.
Nonparametric Tests for Common Values in FirstPrice SealedBid Auctions
, 2003
"... We develop tests for common values at firstprice sealedbid auctions. Our tests are nonparametric, require observation only of the bids submitted at each auction, and are based on the fact that the “winner’s curse” arises only in common values auctions. The tests build on recently developed methods ..."
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Cited by 104 (13 self)
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We develop tests for common values at firstprice sealedbid auctions. Our tests are nonparametric, require observation only of the bids submitted at each auction, and are based on the fact that the “winner’s curse” arises only in common values auctions. The tests build on recently developed methods for using observed bids to estimate each bidder’s conditional expectation of the value of winning the auction. Equilibrium behavior implies that in a private values auction these expectations are invariant to the number of opponents each bidder faces, while with common values they are decreasing in the number of opponents. This distinction forms the basis of our tests. We consider both exogenous and endogenous variation in the number of bidders. Monte Carlo experiments show that our tests can perform well in samples of moderate sizes. We apply our tests to two different types of U.S. Forest Service timber auctions. For unitprice (“scaled”) sales often argued to fit a private values model, our tests consistently fail to find evidence of common values. For “lumpsum” sales, where aprioriarguments for common values appear stronger, our tests yield mixed evidence against the private values hypothesis.
Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach
, 2005
"... We reconsider the identification and estimation of GormanLancasterstyle hedonic models of demand for differentiated products in the spirit of Sherwin Rosen. We generalize Rosen’s first stage to account for product characteristics that are not observed and to allow the hedonic pricing function to ha ..."
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Cited by 98 (1 self)
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We reconsider the identification and estimation of GormanLancasterstyle hedonic models of demand for differentiated products in the spirit of Sherwin Rosen. We generalize Rosen’s first stage to account for product characteristics that are not observed and to allow the hedonic pricing function to have a general nonseparable form. We take an alternative semiparametric approach to Rosen’s second stage in which we assume that the parametric form of utility is known, but we place no restrictions on the aggregate distribution of utility parameters. If there are only a small number of products, we show how to construct bounds on individuals’ utility parameters, as well as other economic objects such as aggregate demand and consumer surplus. We apply our methods to estimating the demand for personal computers.
Unconditional quantile regressions
 Technical Working Paper 339, National Bureau of Economic Research
, 2007
"... Preliminary Paper, Comments Welcome We propose a new regression method for modelling unconditional quantiles of an outcome variable as a function of explanatory variables. The method consists of running a regression of the (recentered) influence function of the unconditional quantile of the dependen ..."
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Cited by 61 (0 self)
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Preliminary Paper, Comments Welcome We propose a new regression method for modelling unconditional quantiles of an outcome variable as a function of explanatory variables. The method consists of running a regression of the (recentered) influence function of the unconditional quantile of the dependent variable on the explanatory variables. The influence function is a widely used tool in robust estimation that can easily be computed for each quantile of interest. The estimated regression model can be used to infer the impact of various explanatory variable on a given unconditional quantile, just like the regression coefficients are used in the case of the mean. Our approach can thus be used, for example, to decompose quantiles as a function of the different explanatory variables (as in a standard OaxacaBlinder mean decomposition), or to predict the effect of changes in policy or other variables on quantiles.
Desegregation and the achievement gap: Do diverse peers help?” unpublished manuscript
, 2005
"... Understanding peer effects is critical to evaluating the effect of public school segregation on the achievement gap. This paper develops a new approach to identifying the effect of peer behavior on achievement, using a framework that integrates previously unexplored types of heterogeneity in peer sp ..."
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Cited by 57 (4 self)
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Understanding peer effects is critical to evaluating the effect of public school segregation on the achievement gap. This paper develops a new approach to identifying the effect of peer behavior on achievement, using a framework that integrates previously unexplored types of heterogeneity in peer spillovers. Applying the strategy to North Carolina public elementary school students, I find stronger peer effects within than across racebased reference groups, the magnitude of which varies substantially across the percentiles of the achievement distribution. Desegregating peer groups helps nonwhites in the lowest performing peer groups but leads to only marginal changes in the achievement gap.
Estimation of Nonparametric Simultaneous Equations
, 2005
"... This paper considers identification in parametric and nonparametric models, with additive or nonadditive unobservables, and with or without simultaneity among the endogenous variables. Several characterizations of observational equivalence are presented and conditions for identification are develope ..."
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Cited by 38 (6 self)
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This paper considers identification in parametric and nonparametric models, with additive or nonadditive unobservables, and with or without simultaneity among the endogenous variables. Several characterizations of observational equivalence are presented and conditions for identification are developed based on these. It is shown that the results can be extended to situations where the dependent variables are latent. We also demonstrate how the results may be used to derive constructive ways to calculate the unknown functions and distributions in simultaneous equations models, directly from the probability density of the observable variables. Estimators based on this do not suffer from the illposed inverse problem that other methods encounter.
Nonlinear policy rules and the identification and estimation of causal effects in a generalized regression kink design. National Bureau of Economic Research, Working Paper No
, 2012
"... Uppsala, Wharton and Zürich. Andrea Weber gratefully acknowledges research funding from the Austrian ..."
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Cited by 25 (1 self)
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Uppsala, Wharton and Zürich. Andrea Weber gratefully acknowledges research funding from the Austrian
On The Nonparametric Identification Of Nonlinear Simultaneous Equations Models: Comment On Brown
 Econometrica
, 2006
"... This note revisits the identification theorems of B. Brown (1983) and Roehrig (1988). We describe an error in the proofs of the main identification theorems in these papers, and provide an important counterexample to the theorems on the identification of the reduced form. Specifically, contrary to t ..."
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Cited by 24 (0 self)
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This note revisits the identification theorems of B. Brown (1983) and Roehrig (1988). We describe an error in the proofs of the main identification theorems in these papers, and provide an important counterexample to the theorems on the identification of the reduced form. Specifically, contrary to the theorems, the reduced form of a nonseparable simultaneous equations model is not identified even under the assumptions of those papers. We conclude the note with a conjecture that it may be possible to use classical exclusion restrictions to recover some of the key implications of the theorems. ∗We have had very helpful conversations with Pat Bayer, Don Brown, Yossi Feinberg, Guido Imbens, Yuliy Sannikov, Andy Skrzypacz, and Chris Timmons. Any remaining In this note, we reconsider the nonparametric identification of nonlinear simultaneous equations models, as in B. Brown (1983) and Roehrig (1988). We
Nonparametric estimation of nonadditive hedonic models
, 2002
"... We present methods to estimate marginal utility and marginal product functions that are nonadditive in the unobservable random terms, using observations from a single hedonic equilibrium market. We show that nonadditive marginal utility and nonadditive marginal product functions are capable of gener ..."
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Cited by 23 (7 self)
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We present methods to estimate marginal utility and marginal product functions that are nonadditive in the unobservable random terms, using observations from a single hedonic equilibrium market. We show that nonadditive marginal utility and nonadditive marginal product functions are capable of generating equilibria that exhibit bunching, as well as other types of equilibria. We provide conditions under which these types of utility and production functions are nonparametrically identified, and we propose nonparametric estimators for them. The estimators are shown to be consistent and asymptotically normal.