Econometrics

---
title: "Econometrics Data Analysis"
author: "Arman Madani"
date: "October 27, 2015"
---
```{r}
library(ggplot2)
library(readr)
```

1.) Growth Data Regression

```{r}
growth.data <- read.csv('~/Downloads/growthdata.csv') 
growth <- growth.data$growth #Measure of annual percentage growth in real GDP from 1960-1995
tradeshr <- growth.data$tradeshr #Tradeshr = (Imports + Exports)/GDP
oil <- growth.data$oil #Whether or not this country exports oil (Bernoulli)
school60 <- growth.data$school60 #Average years of schooling
school60_2 <- school60^2
```

```{r, echo=TRUE}
regression.growth = lm(growth ~ tradeshr + oil + school60)
summary(regression.growth)
```

2.) Individual Consumption Behavior Regression
```{r}
CES <- read.csv('~/Downloads/CEShw4.csv')
ExpPC<-CES$TOTEXPPQ/CES$FAM_SIZE
FoodShare <- CES$FOODPQ/CES$TOTEXPPQ
lnFamSize <- log(CES$FAM_SIZE)
lnExpPC <- log(ExpPC)
CES$ExpPC <- c(ExpPC)
CES$FoodShare <- c(FoodShare)
CES$FoodShare <- c(FoodShare)
CES$lnFamSize <- c(lnFamSize)
CES$lnExpPC <- c(lnExpPC)
```

Scatterplot for FoodShare vs ExpPC

```{r, echo= TRUE}
ggplot(data=CES, aes(x=CES$ExpPC, y=CES$FoodShare)) +
    geom_point() + xlab("ExpPC") + ylab("FoodShare") + geom_smooth(method=lm)
#Scatterplot for FoodShare vs Family Size
ggplot(data=CES, aes(x=CES$FAM_SIZE, y=CES$FoodShare)) +
  geom_point() + xlab("Family Size") + ylab("FoodShare") + geom_smooth(method=lm)
#Scatterplot for FoodShare vs. lnExpPC
ggplot(data=CES, aes(x=CES$lnExpPC, y=CES$FoodShare)) +
  geom_point() + xlab("lnExpPC") + ylab("FoodShare") + geom_smooth(method=lm)
#Scatterplot for FoodShare vs. lnFamSize
ggplot(data=CES, aes(x=CES$lnFamSize, y=CES$FoodShare)) +
  geom_point() + xlab("ln(Family Size)") + ylab("FoodShare") + geom_smooth(method=lm)
```

```{r, echo = TRUE}
TotExp3000 <- CES[which(CES$TOTEXPPQ <= 3000), ] #Total Expenditures Less Than or Equal to $3000
reg.poverty = lm(TotExp3000$FoodShare ~ TotExp3000$lnFamSize + TotExp3000$lnExpPC + 
    TotExp3000$FractEarners + TotExp3000$RatioOver64 + TotExp3000$RatioLess18)
summary(reg.poverty)
```