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Concave-monotone treatment response and monotone treatment selection: With an application to the returns to schooling

凹单调处理反应与单调处理选择:教育回报的应用

This paper identifies sharp bounds on the mean treatment response and average treatment effect under the assumptions of both the concave-monotone treatment response (concave-MTR) and the monotone treatment selection (MTS).We use our bounds and the U.S. National Longitudinal Survey of Youth 1979 to estimate mean returns to schooling.Our upper-bound estimates are substantially smaller than (i) estimates using only the concave-MTR assumption of Manski (1997), and (ii) estimates…

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Identification of income-leisure preferences and evaluation of income tax policy

收入—闲暇偏好的识别与所得税政策评估

The merits of alternative income tax policies depend on the population distribution of preferences for income and leisure. Standard theory, which supposes that persons want more income and more leisure, does not predict how they resolve the tension between these desires. Empirical studies of labor supply have imposed strong preference assumptions that lack foundation. This paper examines anew the problem of inference on income–leisure preferences and considers the…

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Treatment effect estimation with covariate measurement error

协变量测量误差下的处理效应估计

This paper investigates the effect that covariate measurement error has on a treatment effect analysis built on an unconfoundedness restriction in which there is conditioning on error free covariates. The approach uses small parameter asymptotic methods to obtain the approximate effects of measurement error for estimators of average treatment effects. The approximations can be estimated using data on observed outcomes, the treatment indicator and error contaminated…

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Firm boundaries matter: Evidence from conglomerates and R&D activity

企业边界的重要性:来自多元化企业集团与研发活动的证据

This paper examines the impact of the conglomerate form on the scale and novelty of corporate Research and Development (R&D) activity. I exploit a quasi-experiment involving failed mergers to generate exogenous variation in acquisition outcomes of target firms. A difference-in-differences estimation reveals that, relative to failed targets, firms acquired in diversifying mergers produce both a smaller number of innovations and also less-novel innovations, where innovations…

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Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model-Averaged Causal Effects

倾向得分估计的不确定性:贝叶斯变量选择与模型平均因果效应

Causal inference with observational data frequently relies on the notion of the propensity score (PS) to adjust treatment comparisons for observed confounding factors. As decisions in the era of "big data" are increasingly reliant on large and complex collections of digital data, researchers are frequently confronted with decisions regarding which of a high-dimensional covariate set to include in the PS model in order to satisfy the assumptions necessary for estimating…

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Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies

观察研究中的整群处理分配与未观测偏差敏感性

Clustered treatment assignment occurs when individuals are grouped into clusters prior to treatment and whole clusters, not individuals, are assigned to treatment or control. In randomized trials, clustered assignments may be required because the treatment must be applied to all children in a classroom, or to all patients at a clinic, or to all radio listeners in the same media market. The most common cluster randomized design pairs 2S clusters into S pairs based on similar…

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Large Sample Randomization Inference of Causal Effects in the Presence of Interference

存在干扰时因果效应的大样本随机化推断

Recently, increasing attention has focused on making causal inference when interference is possible. In the presence of interference, treatment may have several types of effects. In this paper, we consider inference about such effects when the population consists of groups of individuals where interference is possible within groups but not between groups. A two stage randomization design is assumed where in the first stage groups are randomized to different treatment…

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Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial

随机临床试验中生存率与治疗效应的界标估计

In many studies with a survival outcome, it is often not feasible to fully observe the primary event of interest. This often leads to heavy censoring and thus, difficulty in efficiently estimating survival or comparing survival rates between two groups. In certain diseases, baseline covariates and the event time of nonfatal intermediate events may be associated with overall survival. In these settings, incorporating such additional information may lead to gains in efficiency…

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Optimal Designs for Dose Finding Studies with an Active Control

带活性对照的剂量探索研究最优设计

Summary Dose finding studies often compare several doses of a new compound with a marketed standard treatment as an active control. In the past, however, research has focused mostly on experimental designs for placebo controlled dose finding studies. To the best of our knowledge, optimal designs for dose finding studies with an active control have not been considered so far. As the statistical analysis for an active controlled dose finding study can be formulated in terms of…

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Covariate Balancing Propensity Score

协变量平衡倾向得分

Summary The propensity score plays a central role in a variety of causal inference settings. In particular, matching and weighting methods based on the estimated propensity score have become increasingly common in the analysis of observational data. Despite their popularity and theoretical appeal, the main practical difficulty of these methods is that the propensity score must be estimated. Researchers have found that slight misspecification of the propensity score model can…

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Granger causality, exogeneity, cointegration, and economic policy analysis

格兰杰因果、外生性、协整与经济政策分析

Policy analysis had long been a main interest of Clive Granger’s. Here, we present a framework for economic policy analysis that provides a novel integration of several fundamental concepts at the heart of Granger’s contributions to time-series analysis. We work with a dynamic structural system analyzed by White and Lu (2010) with well defined causal meaning; under suitable conditional exogeneity restrictions, Granger causality coincides with this structural notion. The…

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Estimation and inference for distribution functions and quantile functions in treatment effect models

处理效应模型中分布函数与分位数函数的估计和推断

We propose inverse probability weighted estimators for the distribution functions of the potential outcomes under the unconfoundedness assumption and apply the inverse mapping to obtain the quantile functions. We show that these estimators converge weakly to zero mean Gaussian processes. A simulation method is proposed to approximate these limiting processes. Based on these results, we construct tests for stochastic dominance relations between the potential outcomes.…

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Nonparametric inference for counterfactual means: Bias-correction, confidence sets, and weak IV

反事实均值的非参数推断:偏差修正、置信集与弱工具变量

This paper supplements Manski (1990) and Manski and Pepper (2000) and contributes to the literature by introducing the concept of weak IV for the partially identified mean counterfactual outcomes when an instrumental variable (IV) or a monotone instrumental variable (MIV) is available (IV or MIV assumption respectively); developing asymptotically uniformly valid confidence sets for the counterfactual mean outcomes and average treatment effects under the assumptions;…

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Semiparametric models with single-index nuisance parameters

含单指标干扰参数的半参数模型

In many semiparametric models, the parameter of interest is identified through conditional expectations, where the conditioning variable involves a single-index that is estimated in the first step. Among the examples are sample selection models and propensity score matching estimators. When the first-step estimator follows cube-root asymptotics, no method of analyzing the asymptotic variance of the second step estimator exists in the literature. This paper provides…

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Dynamic Financial Constraints: Distinguishing Mechanism Design From Exogenously Incomplete Regimes

动态金融约束:区分机制设计与外生不完备制度

We formulate and solve a range of dynamic models of constrained credit/insurance that allow for moral hazard and limited commitment. We compare them to full insurance and exogenously incomplete financial regimes (autarky, saving only, borrowing and lending in a single asset). We develop computational methods based on mechanism design, linear programming, and maximum likelihood to estimate, compare, and statistically test these alternative dynamic models with…

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Identifying Treatment Effects Under Data Combination

数据组合下处理效应的识别

We consider the identification of counterfactual distributions and treatment effects when the outcome variables and conditioning covariates are observed in separate datasets. Under the standard selection on observables assumption, the counterfactual distributions and treatment effect parameters are no longer point identified. However, applying the classical monotone re-arrangement inequality, we derive sharp bounds on the counterfactual distributions and policy parameters of…

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Returns to Tenure or Seniority?

任职年限的回报,还是相对资历的回报?

This study documents two empirical facts using matched employer-employee data for Denmark and Portugal. First, workers who are hired last, are the first to leave the firm. Second, workers' wages rise with seniority (= a worker's tenure relative to the tenure of her colleagues). The identification problems for the wage return to tenure are shown not to apply to the return to seniority because seniority is not a deterministic function of time. Controlling for tenure, the…

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Hazardous Times for Monetary Policy: What Do Twenty-Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk-Taking?

货币政策的危险时刻:两千三百万笔银行贷款揭示的信贷风险承担

We identify the effects of monetary policy on credit risk-taking with an exhaustive credit register of loan applications and contracts. We separate the changes in the composition of the supply of credit from the concurrent changes in the volume of supply and quality, and the volume of demand. We employ a two-stage model that analyzes the granting of loan applications in the first stage and loan outcomes for the applications granted in the second stage, and that controls for…

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The Elite Illusion: Achievement Effects at Boston and New York Exam Schools

精英幻象:波士顿与纽约考试选拔学校的学业效果

Parents gauge school quality in part by the level of student achievement and a school's racial and socioeconomic mix. The importance of school characteristics in the housing market can be seen in the jump in house prices at school district boundaries where peer characteristics change. The question of whether schools with more attractive peers are really better in a value‐added sense remains open, however. This paper uses a fuzzy regression‐discontinuity design to evaluate…

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Is the Washington Consensus Dead? Growth, Openness, and the Great Liberalization, 1970s–2000s

华盛顿共识已死?增长、开放与1970至2000年代的大自由化

Abstract According to the Washington Consensus, developing countries' growth would benefit from reductions in barriers to trade. However, the empirical basis for judging trade reforms is weak. Econometrics are mostly ad hoc, results are typically not judged against models, policies are poorly measured, and most studies are based on pre-1990 experience. We address these concerns by employing a model with capital and intermediate goods, compiling new disaggregated tariff…

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Semiparametric Bayesian Estimation for Marginal Parametric Potential Outcome Modeling: Application to Causal Inference

边际参数化潜在结果模型的半参数贝叶斯因果估计

We propose a new semiparametric Bayesian model for causal inference in which assignment to treatment depends on potential outcomes. The model uses the probit stick-breaking process mixture proposed by Chung and Dunson (Citation2009), a variant of the Dirichlet process mixture modeling. In contrast to previous Bayesian models, the proposed model directly estimates the parameters of the marginal parametric model of potential outcomes, while it relaxes the strong ignorability…

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Case Definition and Design Sensitivity

病例定义与设计敏感度

In a case-referent study, cases of disease are compared to non-cases with respect to their antecedent exposure to a treatment in an effort to determine whether exposure causes some cases of the disease. Because exposure is not randomly assigned in the population, as it would be if the population were a vast randomized trial, exposed and unexposed subjects may differ prior to exposure with respect to covariates that may or may not have been measured. After controlling for…

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The performance of corporate alliances: Evidence from oil and gas drilling in the Gulf of Mexico

企业联盟的绩效:来自墨西哥湾油气钻探的证据

I use data on oil and gas drilling in the Gulf of Mexico to measure how a corporate alliance—a group of firms that jointly develops an offshore tract—performs relative to a solo firm. I employ a regression discontinuity strategy based on bids in first-price sealed-bid auctions for the rights to develop leases. By focusing on leases where one organizational form narrowly outbids the other, I measure drilling outcomes while controlling for the endogenous matching of projects…

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The value of local political connections in a low-corruption environment

低腐败环境中地方政治关系的价值

We use exogenous changes in Danish local municipality sizes to identify a large positive effect of political power on the profitability of firms related by family to local politicians. Our difference-in-differences estimate is consistent with a unitary elasticity of connected firms’ performance to political power (as measured by population per elected politician). Increasing power boosts firms’ operating returns, especially in industries relying heavily on public demand.…

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