Publications by Rebecca Luttinen
Multigenerational Household Estimates (CPS data)
Multigenerational household estimates Author R. Luttinen #read in data from IPUMS library(ipumsr) library(tidyverse) ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ✔ dplyr 1.1.4 ✔ readr 2.1.5 ✔ forcats 1.0.0 ✔ stringr 1.5....
227 sym Python (37553 sym/63 pcs)
2021 &2022 CPS multigen analysis
Multigenerational household estimates Author R. Luttinen #read in data from IPUMS library(ipumsr) library(tidyverse) ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ✔ dplyr 1.1.4 ✔ readr 2.1.5 ✔ forcats 1.0.0 ✔ stringr 1.5....
161 sym Python (26580 sym/33 pcs)
Multigenerational Households
Multigenerational household estimates Author R. Luttinen #read in data from IPUMS library(ipumsr) library(tidyverse) ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ✔ dplyr 1.1.4 ✔ readr 2.1.5 ✔ forcats 1.0.0 ✔ stringr 1.5....
161 sym Python (26055 sym/33 pcs)
Causal inference HW 4
Causal Inference HW 4 Author R Lutinen Part 1, Q1 library(haven) #read in Angirst (2009) paper data MDVE <- read_dta("C:/Users/rlutt/Downloads/Angrist (2009)MDVE.dta") #a.) determine compliance rates in the experiment library(janitor) Attaching package: 'janitor' The following objects are masked from 'package:stats': chisq.test,...
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Luttinen Causal Inference Midterm
Part III Analysis Implementation #read in data library(haven) EITC <- read_dta("C:/Users/rlutt/Downloads/eitcRR-1.dta") The original import is 13746 observations of 10 variables. There are multiple observations for each state, varyng by tax year. The summary table shows the distribution of tax year: 1991- 1996, which range from being 15%-19% ...
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HW 3 Causal Inference
Differences- in - Differences #read in data library(readr) dlaw_event <- read_csv("C:/Users/rlutt/Downloads/dlaw_event.csv") ## Rows: 1617 Columns: 11 ## ── Column specification ──────────────────────────────────────────────────────�...
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Causal Inference HW 2- Mediation and Moderation Analysis
##Mediation and Moderation HW 2 #import data library(readr) library(knitr) stress <- read_csv("C:/Users/rlutt/Downloads/stress_withdraw.csv") ## Rows: 262 Columns: 7 ## ── Column specification ─────────────────────────────────────────────────�...
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Descriptives for fertility-despair project
Descriptives for fertility-despair project Author Luttinen & Schaefer 1. Load Libraries 2. Import Data (NMFR& Deaths of Despair) *note we are using mortality data from 2005-2016 and non-marital fertility data from 2010-2021 because we are using a 5-year lag between mortality and fertility nmfr <- read_csv("C:/Users/rlutt/OneDrive/Fall 2023/Ad...
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Advanced Demography Assignment 3 (Updated)
The beginning steps are the same steps from assignment 2, in which I create an age at first marriage variable. #set up age at first marriage variable library(car) ## Loading required package: carData mdata$status <- Recode(mdata$fmarital, recodes= "1 = 1; 5 = 0; 2 = 2; 3=2; 4=2") mdata$evermarried<-Recode(mdata$fmarital,"...
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ADV. DEM METHODS HW 3
The beginning steps are the same steps from assignment 2, in which I create an age at first marriage variable. #set up age at first marriage variable library(car) ## Loading required package: carData mdata$status <- Recode(mdata$fmarital, recodes= "1 = 1; 5 = 0; 2 = 2; 3=2; 4=2") mdata$evermarried<-Recode(mdata$fmarital,"...
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