Views on Government Institutions
Only data from the last 12 months is used (November 2024 to October 2025) for these analyses.
Majority of population is positive on economic conditions
Institutional Trust and Public Confidence
Only data from May 2024, June 2024, and August 2024 is used for these analyses.
The middle class pays attention to government, and their views are responsive
The visualization above illustrates how various factors influence whether middle class Indonesians believe the country is on the right track. The y-axis shows the percentage increase or decrease in probability of a middle class person thinking Indonesia’s policy is on the right track associated with each factor.
The statistical model takes the form:
\[\text{logit}(P(\text{right\_track} = 1)) = \beta_{\text{predictor}} \cdot \text{predictor} + \alpha_i + \varepsilon\]
Where:
right_trackis a binary indicator (0/1) for whether a respondent thinks Indonesia is on the right trackpredictoris each binary indicator for various conditions or beliefs- \(\alpha_i\) represents household fixed effects
- Models are estimated using conditional logistic regression
The y-axis values represent the percentage increase in the probability associated with each factor, calculated as:
\[\text{Percentage Increase} = (\exp(\beta_{\text{predictor}}) - 1) \times 100\%\]
For example, a value of 241% for “Government is doing well on corruption” means that middle class individuals who believe the government is performing well on anti-corruption efforts are 241% more likely to think the country is on the right track. Conversely, negative values indicate factors that decrease this probability.
This analysis reveals that perceptions of government performance on issues like corruption, fair elections, economic performance, and digital services are strongly associated with overall satisfaction with the country’s direction. Interestingly, factors like air pollution concerns and personal economic conditions also play significant roles in shaping middle class views on national progress.
Variables used on this page
Variables Used in Government Institutions Analysis Economic Perceptions
- wb14: Assessment of neighborhood economic conditions (Very good/Good/Bad/Very bad)
- econ_conditions: Binary classification of economic conditions (Good/Bad)
- vw19: Whether the country is on the right track (used as right_track)
Trust in Institutions
- trust1_a to trust1_k: Trust in various institutions (media, government, etc.)
- trust2_a to trust2_k: Perceptions of institutional fairness/equality
- trust3_a to trust3_k: Perceptions of institutional efficiency/competence
Government Perceptions
- vw2: Belief that government engages in open dialogue
- vw4: Trust in election fairness
- vw24: Satisfaction with anti-corruption efforts
Socioeconomic Classification
- wb32: Self-reported economic class used to derive: - subj_poor: Poor classification - lowmid_class: Lower middle class - upmid_class: Upper middle class
Infrastructure and Services
- sh1: Water service disruption
- sh4/sh5: Electricity availability
- sh12/sh14: Internet disruption (home/mobile)
- vw22: Satisfaction with digital services
Economic Indicators
- vw9: Perception of job market
- vw10: Perception of business climate sv28: Subjective inflation experience vw13: Economic optimism
Household Challenges
- wb5: Ability to pay utilities
- wb6: Borrowing for basic needs
- sv3: Ability to save
- wb8: Need to sell assets
- wb9/wb10: Healthcare needs and access
- vw16/vw17: Educational concerns and satisfaction