EC 936 ECONOMIC POLICY MODELLING - PowerPoint PPT Presentation

1 / 14
About This Presentation
Title:

EC 936 ECONOMIC POLICY MODELLING

Description:

ec 936 economic policy modelling lecture 7: cge models of structural change and economic reform washington consensus (williamson, 1989) structural adjustment policies ... – PowerPoint PPT presentation

Number of Views:93
Avg rating:3.0/5.0
Slides: 15
Provided by: MarkT214
Category:

less

Transcript and Presenter's Notes

Title: EC 936 ECONOMIC POLICY MODELLING


1
EC 936 ECONOMIC POLICY MODELLING
  • LECTURE 7
  • CGE MODELS
  • OF
  • STRUCTURAL CHANGE
  • AND
  • ECONOMIC REFORM

2
WASHINGTON CONSENSUS (Williamson, 1989)
  • STRUCTURAL ADJUSTMENT POLICIES
  • Budget deficit reduction
  • Public expenditure reform
  • Tax reform
  • Financial liberalization
  • Foreign exchange liberalization
  • Trade liberalization
  • Privatization of state-owned enterprises
  • Competition policy
  • Deregulation of foreign direct investment

3
AUGMENTED WASHINGTON CONSENSUS (Rodrik, 2002)
  • Land reform
  • Poverty reduction
  • Social safety nets
  • Anti-corruption policy
  • Legal reforms
  • Governmental/institutional reforms

4
WHY CGE MODELS?
  • General vs partial equilibrium analysis
  • Counterfactual modelling
  • Decomposition of complex array of simultaneous
    influences (exogenous as well as policy
    decisions)
  • Simulation exercises
  • Evaluation of key parameters

5
CGE MODELS OF STRUCTURAL ADJUSTMENT AND ECONOMIC
REFORM IN AFRICA
  • CAMEROON THE GAMBIA
  • MADAGASCAR NIGER
  • Key structural similarities
  • High share of labour force in agriculture
  • Export oriented/primary commodities
  • Small industrial sectors
  • Similar external shocks pre-reform
  • Terms of trade shocks (falling commodity prices)
  • Real exchange depreciation (except for Cameroon)
  • Structural divergences
  • Budget balance
  • Nominal exchange rates
  • Financial stability

6
THE CORNELL CGE MODEL(Dorosh, Sahn et al)
  • SAM based model
  • Four household sectors (urban non-poor, urban
    poor, rural non-poor, rural poor)
  • Cameroon 14 sectors (6 agric, 2 ind)
  • The Gambia 17 sectors (6 agric, 1 ind)
  • Madagascar 15 sectors (5 agric, 4 ind)
  • Niger 14 sectors (5 agric, 3 ind)
  • CES value-added production function
  • Disaggregated labour (formal/informal by skill
    type)
  • Sector-specific fixed capital (formal/informal)
  • Disaggregated land by ecological type
  • LES or fixed-share consumption functions

7
CLOSURE RULES
  • Micro
  • Market clearing in commodity and labour markets
  • Aggregate labour supply fixed
  • Armington elasticities for imports
  • CET functions for exports
  • Government spending exogenous
  • Macro
  • Savings driven
  • Current account deficit held constant

8
FOUR SIMULATION EXERCISES
  • How might governments respond to external shocks?
  • I Impose import quotas to maintain real
    exchange rate
  • (de facto adjustment)
  • II Real exchange rate deprecation (foreign
    exchange
  • liberalization)
  • III Real exchange rate depreciation and maintain
    budget
  • balance (i.e. cut government expenditures)
  • IV Real exchange rate depreciation and impose
    trade taxes to
  • maintain level of government expenditure

9
(No Transcript)
10
(No Transcript)
11
(No Transcript)
12
(No Transcript)
13
CONCLUSIONS
  • Terms-of-trade shocks lowered real incomes for
    most households
  • Foreign exchange rationing and quotas exacerbate
    the negative effects on poor households, while
    raising incomes for the urban non-poor
  • Foreign exchange rationing and quotas lower
    long-run growth potential via lowered
    savings/investment
  • Cutting government expenditures raises
    savings/investment relative to raising trade
    taxes
  • Cutting government expenditures increases urban
    poverty relative to raising trade taxes
  • Political economy implications

14
POTENTIAL CRITICISMS
  • Sensitivity of results to closure rules, both
    macro and micro (do markets clear? should
    economies be modeled as savings-driven or
    investment-driven? and so on)
  • How well is the model calibrated to changes in
    variables as well as static representation of
    resource flows (via the SAM)?
  • Is it appropriate to model households as
    homogenous within categories such as
    poor/non-poor urban/rural?
  • Is neo-classical modelling appropriate for
    evaluating neo-classical policy agendas?
Write a Comment
User Comments (0)
About PowerShow.com