dieter
Uploaded by
6 SLIDES
205 VUES
60LIKES

Understanding Simultaneous Models in Macroeconometrics: Theory and Practice

DESCRIPTION

This resource delves into the essential aspects of simultaneous models in macroeconometrics, shedding light on their necessity and applications. It reviews empirical approaches without time dimensions, the Klein model as a practical example, and how to utilize STATA for effective results. The material covers various types of equations—behavioral and equilibrium—alongside distinctions between endogenous and exogenous variables. It also addresses common data issues, the importance of instrumental variables, and different estimation techniques such as 3SLS and 2SLS.

1 / 6

Télécharger la présentation

Understanding Simultaneous Models in Macroeconometrics: Theory and Practice

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. MACROECONOMETRICS LAB 2 – SIMULTANEOUS MODELS

  2. ROADMAP • What do we need simulteneous models for? • What you know from the lecture • Empirical side (w/o time dimension, really!) • How to get the NEEDED results from STATA • Klein model (example) How to do own structural research?

  3. Simultaneous Equations Models • Much of the theory based on systems of equilibrium equations: • D+S & market equilibrium • small macroeconomic model (C, I, AD) • Types of equations: • behavioural • equilibrium (identities – no disturbances!) • Types of variables: • egxogenous • endogenous • predetermined  PROBLEMS!!!

  4. Simultaneous Equations Models • Data problem • if endogenous, OLS inconsistent • if autoregressive, OLS unreliable (s.errors!) • Different solutions ( econometric assumptions) • Instrumental Variables • errors and exogenous variables uncorrelated • 3SLS • only simultaneous autocorrelation of errors • differentiated 3SLS

  5. IV estimation • Equation by equation • cap gen wp_plus_wg = wp+wg • ivreg c (p L1.p wp_plus_wg=year g wg t L1.p k1 L1.x ) • ivreg wp (x L1.x year=year g wg t L1.p k1 L1.x) • ivreg i (p L1.p k1= year g wg t L1.p k1 L1.x)

  6. 3SLS estimation • reg3 (c L1.p p wp_plus_wg) (wp x L1.x year) (i p L1.p k1), endog(wp_plus_wg x p) exog(year g wg t) 2sls • reg3 (c L1.p p wp_plus_wg) (wp x L1.x year) (i p L1.p k1), endog(wp_plus_wg x p) exog(year g wg t) • reg3 (c L1.p p wp_plus_wg) (wp x L1.x year) (i p L1.p k1), endog(wp_plus_wg x p) exog(year g wg t) ireg3 • reg3 (c L1.p p wp_plus_wg) (wp x L1.x year) (i p L1.p k1), endog(wp_plus_wg x p) exog(year g wg t) sure

More Related
SlideServe
Audio
Live Player
Audio Wave
Play slide audio to activate visualizer