Skip to main content

Questions tagged [regression-discontinuity]

A regression discontinuity design (RDD) is an example of a quasi-experimental design in which the probability of receiving a treatment is a discontinuous functions of one or more underlying variables. Comparing observations near the discontinuity allows for the estimation of a local causal effect of the treatment on an outcome.

Filter by
Sorted by
Tagged with
3 votes
1 answer
39 views

Merging an administrative dataset with survey data in the context of a regression discontinuity design: what things should I consider?

I have an administrative dataset that contains the running variable for a Regression Discontinuity Design (RDD) study. I plan to merge this dataset with survey data that was collected for other ...
Santiago Valdivieso's user avatar
3 votes
1 answer
117 views

Can using Fisherian inference help me to be more confident of an underpowered result?

I am running a discontinuous regression to see the effect of a cash transfer on an outcome using a poverty index as the running variable. The problem is that the score is not a very good predictor of ...
Santiago Valdivieso's user avatar
2 votes
1 answer
66 views

Is the estimand in a Regression Discontinuity Design the ATE, ATT, etc?

For the Regression Discontinuity Design, it exploits a cutoff $c$ which is assumed to assumed to sharply delineate two groups, with individuals just below the cutoff acting as the control group and ...
user321627's user avatar
  • 4,448
0 votes
0 answers
28 views

How to know whether I should use DiD or Spatial RDD?

I'm quite new in econometrics. I want to study a nationwide policy change at the city-level. In year T-1, cities are divided in three zones (green, orange, red) depending on their tension on the ...
Yan's user avatar
  • 1
0 votes
0 answers
8 views

Variation in treatment condition in regression discontinuity model

I have a conceptual question regarding the implementation of a regression discontinuity model. I am working on a paper examining the effect of a policy that allows for program funding if a geographic ...
coinbase_wells's user avatar
2 votes
0 answers
69 views

Is a regression discontinuity with two-way fixed effects a type of Diff-in-Diff?

I recently read a paper which used a regression discontinuity design (RDD) to study the effects of a law. The key variable was = 1 for all counties following the introduction of the ban. The model ...
Liam's user avatar
  • 21
1 vote
0 answers
46 views

Regression Discontinuity Design, staggered treatment allocation

I'm unsure if this complex allocation rule is appropriate for RDD. I will have data for a staggered rollout treatment where there will be about 10 rounds of selection over two years for services (...
dcoy's user avatar
  • 362
0 votes
0 answers
39 views

Choosing Regression Discontinuity or Difference in Difference?

I am interested in investigating the impact of a policy implemented in 2020 aimed at fostering sustained engagement in music-related activities. This policy involves providing a Conditional Cash ...
Retir's user avatar
  • 1
1 vote
0 answers
24 views

How to properly estimate a change in slope across a cutoff value

Imagine that you want to estimate whether the slope between y and x changes after a cutoff value. Assume that the cutoff is not at x = 0 but at some arbitrary point c. I could estimate this two ...
ZyzotPerplex's user avatar
0 votes
0 answers
29 views

Fuzzy or sharp RDD?

I am looking at the causal effect of a Danish retirement reform, where individuals born after 1954 have an increased normal retirement age. Therefore, the cutoff of the treatment is clear. However, ...
sard's user avatar
  • 1
0 votes
0 answers
42 views

Control Variables in RD design

There is a large concern about using control variables that are not predetermined (i.e. may be affected by a treatment), in DID and Matching approaches. How is this in an RD approach after the newest ...
cascom's user avatar
  • 41
1 vote
0 answers
21 views

Fuzzy RDD: Small jump in discontinuity in treatment probability

I am new to econometrics and am trying to estimate the effect of receiving a conditional cash transfer (CCT) in a fuzzy RDD. The threshold for receiving the CCT changes over the years, which is why I ...
carlweb's user avatar
  • 11
0 votes
0 answers
30 views

Confounding variables are nested with treatment, not able to be measured, how to address the influence from confounding factors?

We gathered driving data from two cohorts of drivers belonging to the same age group. The first cohort, Group A, utilized System A (treatment group), whereas Group B drove vehicles without this system ...
AsleepOrDead's user avatar
1 vote
0 answers
212 views

Fuzzy RDD and IV

I understand the close analogy between a fuzzy RDD and Instrumental Variables estimation. This is clearest in the Wald Estimator. Here is the Fuzzy RDD equation: And here is the (manual) estimation ...
John Smith's user avatar
2 votes
0 answers
28 views

Is it possible to do regression discontinuity (RDD) with different treatment intensities?

My question arises from an assignment rule which gives monetary transfers to cities with a population of less than 25,000 inhabitants. However, the transfer varies between cities depending on its ...
Luis Felipe Gaviria's user avatar
0 votes
0 answers
420 views

method like rdd for binary outcome variable?

I'm currently writing my first empirical term paper and would like to model the following relationship. I'm mainly interested how government spending, which regions are mostly only eligible to if ...
Stephan's user avatar
5 votes
1 answer
309 views

Does "Regression Discontinuity" Require the Presence of an Intervention?

I have been trying to learn more about "Regression Discontinuity". This appears to be a statistical method designed at testing the effectiveness of some sort of intervention. The Wikipedia ...
stats_noob's user avatar
2 votes
1 answer
53 views

How does one define what measure to use for a Regression Discontinuity design?

For example I am looking at the effectiveness of a reading learning program for 3rd graders. How do I define an acceptable cutoff measure? Do I look at accepted reading assessment tests, such as ...
Ralph Winters's user avatar
1 vote
0 answers
305 views

Regression discontinuity vs propensity score matching

I have recently read some pieces suggesting that regression discontinuity designs could be the best statistical approach for causal inference stemming from non-randomized studies (eg 1 and 2). However,...
Giuseppe Biondi-Zoccai's user avatar
2 votes
1 answer
80 views

Interrupted Time Series with Unevenly Distributed Samples

I'm working on causal inference using Interrupted Time Series Design. I have multiple samples per day and am selecting my analysis bandwidth based on pre-treatment RMSE on leave-on-out cross ...
Matheus Schmitz's user avatar
2 votes
1 answer
167 views

Why do my model visualization and model estimates not match (R, ggplot)?

I am studying the relationship between government fiscal balances (BAL) and bond yields (LTINT). I have a simple regression discontinuity model with a numerical variable (BAL), a dummy (SGP: breach/...
laurenstrie's user avatar
3 votes
1 answer
461 views

Why and when would you use Regression Discontuinity (RD) instead of a linear model with a dummy?

More specifically, why can't you just run an OLS with a dummy for the treatment group, instead of a RD. What complications might arise when you do so? And as an extension of that, what criteria's do ...
Brockenspook's user avatar
1 vote
0 answers
860 views

Question about STATA RDROBUST command usage (Regression Discontinuity Design)

I am using the Stata rdrobust command for RDD analysis, aiming to perform a two-stage analysis. The first stage is to model the probability of receiving the treatment at cut-off and the second stage ...
Pallab's user avatar
  • 11
2 votes
1 answer
109 views

Defining a binary treatment based on a proportion

I want to explore the effect of bringing in more female students into a classroom on the existing individual students' performance using a panel dataset. However, there is no particular policy change ...
username's user avatar
1 vote
1 answer
1k views

Is this dataset suitable for regression discontinuity?

I have a panel following 300 units in which the treatment variable $D$ depends on a continuous running variable $R$. Concretely, $D=1$ if $R>=0$ and $D=0$ if $R<0$. Despite having a low number ...
Mr_Robot's user avatar
  • 103
2 votes
0 answers
324 views

How do I interpret the output of a fuzzy regression discontinuity with rdd_gen_reg in R's rddtools?

I'm running a fuzzy regression discontinuity in R. I'm trying to understand the interpretation of each coefficient in the regression output. I know that x is the effect of the running variable on the ...
Zachary Goldstein's user avatar
0 votes
1 answer
193 views

How to use causal inference to understand the impact of COVID-19 on different groups?

I'm experienced in data science but new to causal methods. I'm trying to figure out how to frame a question I want to investigate in a causal way. I'm interested in seeing if COVID-19 has impacted two ...
sellarsellar's user avatar
1 vote
0 answers
23 views

Quasi-experiment analysis

I have 5-year sales information from a grocery store in Canada. I want to check the effect of an online campaign that happened in 2017 on food sales. My treatment group is people living in urban areas....
Lili.Y's user avatar
  • 53
0 votes
1 answer
739 views

Estimating LATE from RDD using OLS - Have I understood it correctly?

I am currently running a project using RDD in STATA where I am unable to use the handy "rdrobust" command, and hence have to use the conventional "regress" function instead, i.e., ...
user216262's user avatar
0 votes
1 answer
93 views

Optimal bandwidth for discontinuity regression with Bernoulli

I'm trying to run a discontinuity regression to explain a binary outcome. The problem is I do not know how to get the optimal bandwidth. I've tried to use the ...
Thiago N Fonseca's user avatar
2 votes
1 answer
2k views

How is it decided to use Difference-in-Differences, Regression Discontinuity or both together (if possible) according to a policy change?

I am quite new at (quasi) natural experiment analysis, so please bear with me and my questions. In my research, I am planning to exploit a policy change which happened in the year 2002. Treated firms ...
Caroline Fressard's user avatar
1 vote
1 answer
75 views

Why would complete manipulation on running variable result in misidentification of treatment effect

Why would complete manipulation on running variable result in misidentification of treatment effect and why the partial manipulation may not. i.e. why is density test necessary? May someone gives an ...
Yuan's user avatar
  • 513
0 votes
1 answer
2k views

Interpreting output of RDestimate (rdd R package)

I am trying to interpret a fuzzy Regression Discontinuity Design. The output is as follows: ...
statsguyz's user avatar
  • 123
1 vote
0 answers
34 views

Inverting regression discontinuity assumptions: is this a valid approach?

A key assumption of regression discontinuity designs is that respondents have little to no control over assignment. I inverted this assumption to test whether reductions in workers' compensation ...
Tyler Lane's user avatar
1 vote
0 answers
158 views

Proving that average treatment effect for RDD with multiple cutoffs is a weighted average of the causal effect at each cutoff

Let $Xi$ denote the original running variable and $Ci$ be the cutoff that unit $i$ faces (e.g., the nearest cutoff). For simplicity, I consider a case where the binary treatment is assigned if $Xi$ ...
Krantz's user avatar
  • 585
6 votes
0 answers
6k views

What is difference between interrupted time series and regression discontinuity design

Say that one has data over time, t, on an outcome, y. There is an event that happens at t==0....
bill999's user avatar
  • 307
1 vote
0 answers
40 views

Treatment effect estimation: year is treatment

I want to estimate the effect of tax increase on the consumption at the regional level. I have 100 regions in pre-treatment period (year 2010) and the same regions in post-treatment period (year 2011)....
Evgeniy's user avatar
  • 11
2 votes
2 answers
734 views

Regression discontinuity - optimal bandwidth choice

I have a very basic question. I would like to implement a nonparametric RD but I have a Poisson outcome variable. I would like to select the proper bandwidth and my question is about which method to ...
Ale's user avatar
  • 31
2 votes
1 answer
1k views

Testing for treatment effect hetereogeneity in regression discontinuity design

I am not a statistician or econometrician, so please bear with me. For a term paper, I am estimating local treatment effects using a regression discontinuity design, and I want to test whether the ...
Jackson's user avatar
  • 23
2 votes
0 answers
3k views

2SLS Estimation for a Fuzzy Regression Discontinuity Design

I am using a Fuzzy Regression Discontinuity Design for the first time and this maybe a very basic question to some. I am estimating the Fuzzy RD with 2SLS. Suppose, my data is of the following form: ...
Nusrat A Jimi's user avatar
2 votes
0 answers
2k views

Interaction Term in Fuzzy RD

I'm hoping someone can help me understand the intuition behind the interaction term in a fuzzy RD model. The setup is as follows: $x$ = rating variable with discontinuity at $x = k$ $D$ = dummy=1 if ...
bsauce's user avatar
  • 121
2 votes
1 answer
2k views

Interpreting log discontinuity in the density from McCrary test

In the article by Justin McCrary "Manipulation of the running variable in the regression discontinuity design: A density test" (2008) he estimates log discontinuity in the density of democratic vote ...
DN1995's user avatar
  • 21
0 votes
0 answers
241 views

Identifying within-individual treatment effect with RDD-style models

I have panel data with various products as individuals, observed over some period of time, and the plausibly exogenous (in this case) entry of competing products as "treatment". Treatment timing ...
Magean's user avatar
  • 33
5 votes
1 answer
4k views

Difference-in-Discontinuities Design

Recently I came across the paper written by Grembi et al. (2016) and thought the methodology employed by them, Difference-in-Discontinuities Design (a combination of Regression Discontinuity and ...
user196456's user avatar
1 vote
0 answers
40 views

Why functional specification is important in RDD setting?

I'm reading Clark(2009) paper regarding the impact of education reform on school performance. The rule is that the school initiated a democratic vote at first and if 50% of students vote in favor of ...
JoZ's user avatar
  • 699
7 votes
2 answers
21k views

difference in difference vs regression discontinuity

What is the critical differences between Diff-in-diff and regression discontinuity? I understood how those worked but still not clear with the differences. I googled and looked up some papers which ...
Todd's user avatar
  • 201
3 votes
1 answer
6k views

Is regression discontinuity a form of instrumental variable regression?

I understand that regression discontinuity determines changes in the fitted line (or coefficient) at the point in a variable which defines whether the person received the treatment/intervention. It ...
user163367's user avatar
2 votes
0 answers
910 views

Fuzzy RDD in Stata with two cutoff points

I am running a Fuzzy Regression Discontinuity Design using 2SLS. If I specified the model (and most importantly the IVs) correctly as i have never worked on a RDD before. The difference to the usual ...
HG89's user avatar
  • 21
0 votes
0 answers
53 views

Sharp Regression Discontinuity (RD) for one part of the sample, RCT for another?

I have a study where schools' 4th graders are randomized into treated and controls (at the school level, i.e. there are treatment and control schools). Within each treated school, treatment follows a ...
user162760's user avatar
1 vote
0 answers
372 views

question about the choice of bandwidth in RDD

I'm doing a research using the idea of regression discontinuity design. What confuses me is that whether I should choose a bandwidth if I use an IV approach to estimate in a fuzzy RD. I know that it's ...
Zhiwei's user avatar
  • 11