Notas de lectura
Econometrics: all lectures - full exam material
- Grado
- Institución
All lectures are included, very extensively
[Mostrar más]Vista previa 4 fuera de 124 páginas
Vista previa 4 fuera de 124 páginas
Añadir al carrito
Añadir al carrito
Vendedor
Seguiralbasamsom
Vista previa del contenido
InhoudsopgaveContent ............................................................................................................................................................ 2
Terminology ........................................................................................................................................................ 2
Multivariate regression analysis ....................................................................................................................... 4
Ordinary Least Squares (OLS) estimation .......................................................................................................... 6
Inference ............................................................................................................................................................. 6
Assumptions ....................................................................................................................................................... 7
Hypothesis testing .......................................................................................................................................... 14
P-value and confidence interval ..................................................................................................................... 19
Joint hypotheses ............................................................................................................................................ 22
OVB ................................................................................................................................................................ 29
Functional form .............................................................................................................................................. 36
Variables in log vs levels ................................................................................................................................... 36
Dummy variable ............................................................................................................................................... 41
Interaction effects .......................................................................................................................................... 53
Multicollinearity ............................................................................................................................................. 57
Imperfect multicollinearity ............................................................................................................................... 59
Heteroskedasticity.......................................................................................................................................... 65
1
,Lecture 1
This lecture is recorderd!
Book is only recommended for those who find the slides difficult. E-book: downloaded on 13
nov 2023 on laptop
On the exam: no STATA codes writing, but we have to read and work with the output
Content
- Regression analysis
o Bivariate regression analysis (2 variables, 1 variable is used to explain another)
o Multivariate regression analysis (multiple variables are used to explain 1 other
variable)
o Ordinary least squares (OLS) estimation: properties and assumptions
Terminology
Inference: using the random sample n to say something about the population N
2
,Beta0: constant/intercept & beta1: slope of the line
Ordinary Least Squares
An illustration of OLS
Residuals: all points that are not on the line, and their distances from the lines
We take the square because the otherwise their would be a difference in positive and
negative residuals
3
, Multivariate regression analysis
We can still use OLS to calculate the unknown
Why use multiple regression?
- Interested in partial: holding variable 1 constant (ceteris parabus), what is the effect
of the other variable on Y?
4
Los beneficios de comprar resúmenes en Stuvia estan en línea:
Garantiza la calidad de los comentarios
Compradores de Stuvia evaluaron más de 700.000 resúmenes. Así estas seguro que compras los mejores documentos!
Compra fácil y rápido
Puedes pagar rápidamente y en una vez con iDeal, tarjeta de crédito o con tu crédito de Stuvia. Sin tener que hacerte miembro.
Enfócate en lo más importante
Tus compañeros escriben los resúmenes. Por eso tienes la seguridad que tienes un resumen actual y confiable. Así llegas a la conclusión rapidamente!
Preguntas frecuentes
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
100% de satisfacción garantizada: ¿Cómo funciona?
Nuestra garantía de satisfacción le asegura que siempre encontrará un documento de estudio a tu medida. Tu rellenas un formulario y nuestro equipo de atención al cliente se encarga del resto.
Who am I buying this summary from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller albasamsom. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy this summary for 7,49 €. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
45,681 summaries were sold in the last 30 days
Founded in 2010, the go-to place to buy summaries for 14 years now