scope of econometrics { from a mathematical point of viewscope of econometrics { from a mathematical...

15
Econometrics Master Course: Methods 1. Econometrics in General Scope of econometrics – from a mathematical point of view Martin Treiber 1 of 10

Upload: others

Post on 22-Nov-2020

7 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Scope of econometrics – from a mathematical point of view

Martin Treiber 1 of 10

Page 2: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

General procedure of an econometric analysis

Martin Treiber 2 of 10

Page 3: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Information flow of an econometric model

Martin Treiber 3 of 10

Page 4: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Linking

Martin Treiber 4 of 10

Page 5: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Chaining and feedback

Martin Treiber 5 of 10

Page 6: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Models of time evolution (“dynamic models”)

I Special case of chaining: The endogenous variables at time t arethe exogenous variables at the next time step t+ ∆t

I The model itself is generally the same in all steps

I Sometimes, however, it has time dependent parameters(non-autonomous model)

Martin Treiber 6 of 10

Page 7: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Models of time evolution (“dynamic models”)

I Special case of chaining: The endogenous variables at time t arethe exogenous variables at the next time step t+ ∆t

I The model itself is generally the same in all steps

I Sometimes, however, it has time dependent parameters(non-autonomous model)

Martin Treiber 6 of 10

Page 8: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Models of time evolution (“dynamic models”)

I Special case of chaining: The endogenous variables at time t arethe exogenous variables at the next time step t+ ∆t

I The model itself is generally the same in all steps

I Sometimes, however, it has time dependent parameters(non-autonomous model)

Martin Treiber 6 of 10

Page 9: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Models of time evolution (“dynamic models”)

I Special case of chaining: The endogenous variables at time t arethe exogenous variables at the next time step t+ ∆t

I The model itself is generally the same in all steps

I Sometimes, however, it has time dependent parameters(non-autonomous model)

Martin Treiber 6 of 10

Page 10: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Application: Calculating the external costs of road traffic

Martin Treiber 7 of 10

Page 11: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Model for limited growth

Limited growth according to the solution of the differential equation dydt =

(1 − y(t)

ys

)for the initial value y0 = 3 at the moment in time t0 = 1950

and the model parameters growth time constant τ = 10 and saturation

ys = 60. The result might represent the penetration rate for passenger

cars per person in %.Martin Treiber 8 of 10

Page 12: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Structure of a modal split model

I Exogenous variables xkj : influencing factors j for mode k

I Endogenous variables yk: frequency of utilization for mode k

Martin Treiber 9 of 10

Page 13: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Structure of a modal split model

I Exogenous variables xkj : influencing factors j for mode k

I Endogenous variables yk: frequency of utilization for mode k

Martin Treiber 9 of 10

Page 14: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Structure of a modal split model

I Exogenous variables xkj : influencing factors j for mode k

I Endogenous variables yk: frequency of utilization for mode k

Martin Treiber 9 of 10

Page 15: Scope of econometrics { from a mathematical point of viewScope of econometrics { from a mathematical point of view Martin Treiber 1 of 10 Econometrics Master Course: Methods1. Econometrics

Econometrics Master Course: Methods 1. Econometrics in General

Mode choice for two alternatives:by bike or by public transport (PT)

Age Sextimeneededbike

costsbike

totaltraveltimePT

costsPT

choicebike

choicePT

Variables x1 x2 x3 x4 x5 x6 y1i y2iPerson 1 30 w 20 min 0e 30 min 1.00e 0 1Person 2 24 m 11 min 0e 20 min 2.00e 1 0Person 3 27 m 34 min 0e 15 min 2.00e 0 1...

......

......

......

......

......

......

......

......

......

......

......

......

......

These data can be obtained from interviews.

Martin Treiber 10 of 10