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Regression discontinuity design with continuous measurement error in the running variable

运行变量存在连续测量误差的回归不连续设计

Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming non-differential measurement error, we propose a consistent nonparametric estimator of the LATE when the discrepancy between the true running variable and its noisy measure is observed in an auxiliary sample of treated individuals, and when…

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The impact of portfolio disclosure on hedge fund performance

投资组合披露对对冲基金业绩的影响

Consistent with the argument that portfolio disclosure reveals trade secrets, a difference-in-differences estimation suggests a drop in fund performance after a hedge fund begins filing Form 13F as well as an increase in return correlations with other funds in the same investment style. The drop in performance is concentrated among funds with larger expected proprietary costs of disclosure, for instance, funds that disclose a greater fraction of their assets or hold more…

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Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment

子组平均处理效应的差异能解释处理效应异质性吗?社会实验证据

We assess whether welfare reform affects earnings only through mean impacts that are constant within but vary across subgroups. This is important because researchers interested in treatment effect heterogeneity typically focus on estimating mean impacts that only vary across subgroups. Using a novel approach to simulating treatment group earnings under the constant mean impacts within subgroup model, we find this model does a poor job of capturing treatment effect…

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Much Ado about Nothing? New Evidence on the Effects of Payday Lending on Military Members

无事生非?发薪日贷款对军人影响的新证据

We evaluate the effect that payday loan access has on credit and labor market outcomes of individuals in the U.S. Army. Using the conditional random assignment of service members to different locations, we employ three identification strategies: cross-sectional variation in state policies, within-term variation in payday lending access, and a difference-in-difference analysis using the national Military Lending Act. We find few adverse effects of payday loan access on…

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COMPLEMENTARITY AND IDENTIFICATION

互补性与识别

This paper examines the identification power of assumptions that formalize the notion of complementarity in the context of a nonparametric bounds analysis of treatment response. I extend the literature on partial identification via shape restrictions by exploiting cross-dimensional restrictions on treatment response when treatments are multidimensional; the assumption of supermodularity can strengthen bounds on average treatment effects in studies of policy complementarity.…

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Identification and estimation of causal effects with outcomes truncated by death

死亡截断结局下因果效应的识别与估计

It is common in medical studies that the outcome of interest is truncated by death, meaning that a subject has died before the outcome could be measured. In this case, restricted analysis among survivors may be subject to selection bias. Hence, it is of interest to estimate the survivor average causal effect, defined as the average causal effect among the subgroup consisting of subjects who would survive under either exposure. In this paper, we consider the identification…

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Joint sufficient dimension reduction and estimation of conditional and average treatment effects

联合充分降维与条件及平均处理效应估计

The estimation of treatment effects based on observational data usually involves multiple confounders, and dimension reduction is often desirable and sometimes inevitable. We first clarify the definition of a central subspace that is relevant for the efficient estimation of average treatment effects. A criterion is then proposed to simultaneously estimate the structural dimension, the basis matrix of the joint central subspace, and the optimal bandwidth for estimating the…

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Non-parametric Methods for Doubly Robust Estimation of Continuous Treatment Effects

连续处理效应双重稳健估计的非参数方法

Summary Continuous treatments (e.g. doses) arise often in practice, but many available causal effect estimators are limited by either requiring parametric models for the effect curve, or by not allowing doubly robust covariate adjustment. We develop a novel kernel smoothing approach that requires only mild smoothness assumptions on the effect curve and still allows for misspecification of either the treatment density or outcome regression. We derive asymptotic properties and…

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On Estimation of Optimal Treatment Regimes for Maximizing t -Year Survival Probability

最大化 t 年生存概率的最优治疗策略估计

Summary A treatment regime is a deterministic function that dictates personalized treatment based on patients’ individual prognostic information. There is increasing interest in finding optimal treatment regimes, which determine treatment at one or more treatment decision points to maximize expected long-term clinical outcomes, where larger outcomes are preferred. For chronic diseases such as cancer or human immunodeficiency virus infection, survival time is often the…

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Noncausal vector autoregressive process: Representation, identification and semi-parametric estimation

非因果向量自回归过程:表示、识别与半参数估计

This paper introduces a representation theorem for a mixed VAR(p) process by distinguishing its causal and noncausal components. That representation is used to discuss the advantages and limitations of second-order identification in a mixed VAR. We show that it is possible to find the numbers of causal or noncausal components of the process from its multivariate autocovariance function, while nonlinear autocovariances are needed to distinguish between them. The paper…

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The cycle of violence in the Second Intifada: Causality in nonlinear vector autoregressive models

第二次巴勒斯坦大起义中的暴力循环:非线性 VAR 的因果分析

Summary We contest Jaeger and Paserman's claim (Jaeger and Paserman , 2008. The cycle of violence? An empirical analysis of fatalities in the Palestinian–Israeli conflict. American Economic Review 98 (4): 1591–1604) that Palestinians did not react to Israeli aggression during Intifada 2. We address the differences between the two sides in terms of the timing and intensity of violence, estimate nonlinear vector autoregression models that are suitable when the linear vector…

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Identification of universally optimal circular designs for the interference model

干扰模型中普遍最优圆周设计的判别

Many applications of block designs exhibit neighbor and edge effects. A popular remedy is to use the circular design coupled with the interference model. The search for optimal or efficient designs has been intensively studied in recent years. The circular neighbor balanced designs at distances 1 and 2 (CNBD2), including orthogonal array of type I ($\mathrm{OA}_{I}$) of strength $2$, are the two major designs proposed in literature for the purpose of estimating the direct…

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Realized stochastic volatility with general asymmetry and long memory

具有一般非对称性与长记忆的已实现随机波动率模型

The paper develops a novel realized stochastic volatility model of asset returns and realized volatility that incorporates general asymmetry and long memory (hereafter the RSV-GALM model). The contribution of the paper ties in with Robert Basmann’s seminal work in terms of the estimation of highly non-linear model specifications (Basmann, 1988), especially for specifying causal effects from returns to future volatility. This paper discusses asymptotic results of a Whittle…

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What can we learn about the racial gap in the presence of sample selection?

存在样本选择时,我们能了解多少种族工资差距?

We examine the distance and relations between the distributions of wages for two exogenously identified groups (black and white women here). The literature commonly employs decomposition methods for the conditional means, to propose explanations for observed wage differentials, as “structural” components, attributable to difference in market structures, and the “composition” components, attributable to difference in characteristics and skills. Estimation of these components…

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Beyond LATE with a Discrete Instrument

使用离散工具变量超越局部平均处理效应

We show how a discrete instrument can be used to identify the marginal treatment effects under a functional structure that allows for treatment heterogeneity among individuals with the same observed characteristics and self-selection based on the unobserved gain from treatment. Guided by this identification result, we perform a marginal treatment effect analysis of the interaction between the quantity and quality of children. Our estimates reveal that the family size effects…

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An Empirical Comparison Between the Synthetic Control Method and HSIAO et al. 's Panel Data Approach to Program Evaluation

合成控制法与 Hsiao 等人的面板数据项目评估法:实证比较

Summary We compare two program evaluation methodologies: the synthetic control method and the panel data approach. We apply both methods to estimate the effect of the political and economic integration of Hong Kong. The results obtained differ depending on the methodology used. We then conduct a simulation that shows that the synthetic control method results in a post‐treatment mean squared error, mean absolute percentage error, and mean error with a smaller interquartile…

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Estimation of Monotone Treatment Effects in Network Experiments

网络实验中单调处理效应的估计

Randomized experiments on social networks pose statistical challenges, due to the possibility of interference between units. We propose new methods for finding confidence intervals on the attributable treatment effect in such settings. The methods do not require partial interference, but instead require an identifying assumption that is similar to requiring nonnegative treatment effects. Network or spatial information can be used to customize the test statistic; in…

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Empirical Likelihood for Random Sets

随机集合的经验似然

In many statistical applications, the observed data take the form of sets rather than points. Examples include bracket data in survey analysis, tumor growth and rock grain images in morphology analysis, and noisy measurements on the support function of a convex set in medical imaging and robotic vision. Additionally, in studies of treatment effects, researchers often wish to conduct inference on nonparametric bounds for the effects which can be expressed by means of random…

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Minimum distance from independence estimation of nonseparable instrumental variables models

非可分工具变量模型的独立性最小距离估计

I develop a semiparametric minimum distance from independence estimator for a nonseparable instrumental variables model. An independence condition identifies the model for many types of discrete and continuous instruments. The estimator is taken as the parameter value that most closely satisfies this independence condition. Implementing the estimator requires a quantile regression of the endogenous variables on the instrument, so the procedure is two-step, with a finite or…

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Board reforms and firm value: Worldwide evidence

董事会改革与企业价值:全球证据

We examine the impact of corporate board reforms on firm value in 41 countries. Using a difference-in-differences design, we find that board reforms increase firm value. Reforms involving board and audit committee independence, but not reforms involving separation of chairman and chief executive officer positions, drive the valuation increases. In addition, while comply-or-explain reforms result in a greater increase in firm value than rule-based reforms, the effects of…

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The bright side of financial derivatives: Options trading and firm innovation

金融衍生品的积极作用:期权交易与企业创新

Do financial derivatives enhance or impede innovation? We answer this question by examining the relationship between equity options markets and standard measures of firm innovation. We find that firms with more options trading activity generate more patents and patent citations per dollar invested in research and development (R&D), after accounting for other confounding factors. These results are confirmed when we use a propensity score matching procedure and an instrumental…

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Banking integration and house price co-movement

银行业整合与房价共同波动

The correlation in house price growth across US states increased steadily between 1976 and 2000. This paper shows that the contemporaneous geographic integration of the US banking market, via the emergence of large banks, was a primary driver of this phenomenon. To this end, we first theoretically derive an appropriate measure of banking integration across state pairs and show that house price growth correlation is strongly related to this measure of financial integration.…

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Estimating price sensitivity of economic agents using discontinuity in nonlinear contracts

利用非线性合同的不连续性估计经济主体的价格敏感度

This paper proposes a method to estimate price sensitivity of economic agents exploiting discontinuity in nonlinear contracts. As an application, we study contracts between a managed care organization and hospitals for organ transplants. Exploiting donut holes in the reimbursement contracts, we show that the impact of the reimbursement rate on hospitals' provision of health care services varies significantly across patients with different levels of illness severity. Our…

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Unbiased instrumental variables estimation under known first-stage sign

已知第一阶段符号时的无偏工具变量估计

We derive mean-unbiased estimators for the structural parameter in instrumental variables models with a single endogenous regressor where the sign of one or more first-stage coefficients is known. In the case with a single instrument, there is a unique nonrandomized unbiased estimator based on the reduced-form and first-stage regression estimates. For cases with multiple instruments we propose a class of unbiased estimators and show that an estimator within this class is…

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