How Inequality Affects Trust in Institutions: Evidence from Indonesia

Trust is an important ingredient to improve economic performance and people's welfare by alleviating market failures caused by imperfect information, costly enforcement, or coordination failures. Using the World Values Survey 2018, we estimate the impact of village and district levels inequality on trust in institutions in Indonesia. We find that higher village level inequality has a negative effect only on trust in strangers, while higher district level inequality reduces trust in television, the press, the central government, the courts, and the police. The implication points to the importance of keeping inequality at the aggregate level in check to maintain people's trust in social, political and state institutions.     

MINIMUM WAGE POLICY AND ITS IMPACT ON EMPLOYMENT IN THE URBAN FORMAL SECTOR

Since the late 1980s, minimum wages have become an important plank of the Indonesian government's labour policy. Their levels have increased faster in real terms than those of average wages and per capita gross domestic product and, as a result, minimum wages have become binding for the majority of formal sector workers. This study finds that the imposition of minimum wages has a negative and statistically significant impact on employment in the urban formal sector. The disemployment impact is greatest for female, young and less educated workers, while the employment prospects of white-collar workers are enhanced by increases in minimum wages. Some workers who lose jobs in the formal sector and have to relocate to the informal sector face lower earnings and poorer working conditions.     

Economic growth and poverty reduction in Indonesia before and after the asian financial crisis

This paper assesses the relationship between poverty reduction and economic growth in Indonesia before and after the Asian financial crisis. The annual rate of poverty reduction slowed significantly in the post-crisis period. However, the trend in the growth elasticity of poverty indicates that the power of each percentage point of economic growth to reduce poverty did not change much between the two periods. In both, service sector growth made the largest contribution to poverty reduction in both rural and urban areas. Industrial sector growth largely became irrelevant for poverty reduction in the post-crisis period even though the sector contributed the second-largest share of GDP. Agricultural sector growth, mean-while, remained important, but in rural areas only. The findings suggest the need to formulate an effective strategy to promote sectoral growth in order to speed up the pace of poverty reduction.     

Changes in Household Welfare,Poverty and Inequality During the Crisis

This study provides evidence about changes in the distribution of living standards among Indonesian households during the economic crisis. It uses consumption expenditure data from a panel of households that were surveyed in May 1997, just before the onset of the crisis, and then again in August 1998, about a year after the crisis began. A household-specific deflator is used to make nominal consumption expenditures comparable across this period. The results suggest that there was a considerable drop in household welfare during the economic crisis. Average per capita expenditures fell significantly, and at the same time inequality increased. The poverty rate also appears to have doubled from the pre-crisis level. However, transitions into and out of poverty before and after the crisis reveal remarkable fluidity.     

The effects of location and sectoral components of economic growth on poverty: Evidence from Indonesia

In this paper, we investigate the relationship between economic growth and poverty reduction by differentiating growth and poverty into their sectoral composition and urban–rural location using data from Indonesia. We find that rural services growth reduces poverty in all sectors and locations. However, urban services growth has the largest effect on poverty in most sectors. Finally, we also find that rural agriculture growth strongly reduces poverty in rural areas, the largest contributor to poverty in Indonesia. This implies that while agriculture growth in rural areas still plays a major role in reducing poverty, policies that enable strong growth in the services sector in both urban and rural areas would expedite poverty reduction.     

Eating like which “Joneses?” an Iterative Solution to the Choice of a Poverty Line “Reference Group”

A standard method for calculating poverty lines (e.g. Ravallion, 1994) is not fully specified. The choice of the "reference population" for determining food baskets is left to the decision of the individual analyst. However, the poverty line can be quite sensitive to the real income of the reference group because the "quality" of the food basket—measured as the food expenditures per calorie—rises sharply with income. We propose that the reference group be centered on the poverty line. To address the obvious circularity problem in choosing a reference population at the poverty line to define the poverty line, we use an iterative approach. This iterative method provides a methodological anchor that fixes the reference group.     

Evolution of Poverty During the Crisis in Indonesia

The economic crisis caused a clear deterioration in the welfare of the Indonesian people. In this paper, we examine the appropriate method to compare the change in poverty rates over time. We then piece together a consistent series of estimates of poverty rates during the crisis from various sources, covering a period from February 1996 to February 2002. The reconciliation of these various estimates paints a very reasonable picture and neatly tracks events. The poverty rate increased from the lowest point of approximately 15% at the onset of the crisis in the middle of 1997 to the highest point of approximately 33% nearing the end of 1998. This maximum increase in poverty rate during the crisis of 18 percentage points implies that approximately 36 million additional people were pushed into absolute poverty due to the crisis. After the peak point, the poverty rate started to decline again and reached the pre-crisis level of approximately 15% at the end of 1999, implying that the lost time in poverty reduction due to the crisis was approximately 2.5years. However, the poverty rate after this point appears to have fluctuated. During 2001 and early 2002, poverty was on the rise again.     

Estimating the Impact of Covid-19 on Poverty in Indonesia

Covid-19 has infected and will continue to infect millions of people all over the world. The economic impact is predicted to be large and millions of people will be pushed into poverty. In this paper, we estimate the impact of Covid-19 on poverty in Indonesia. The economic impact is expected to be severe, reducing the economic growth rate projected for 2020 from about 5% to between 4.2% and –3.5%. We find that under the best-case scenario, the poverty rate will increase from 9.2% in September 2019 to 9.7% by the end of 2020, pushing 1.3 million more people into poverty. Under the worst-case scenario, the poverty rate will increase to 16.6%, close to the level seen in 2004 when the poverty rate was 16.7%. This means that 19.7 million more people will become poor, substantially reversing Indonesia’s progress in reducing poverty. The implication is that Indonesia will need to expand its social protection programs to assist the new poor as well as the existing poor.     

Openness, Technological Change and Labour Demand in Pre-Crisis Indonesia

This paper examines the impact of export orientation, import competition, foreign ownership and the rate of capital accumulation on the relative demand for skilled and unskilled labour in pre-crisis Indonesia. Estimates from an interrelated factor demand analysis indicate that openness and foreign ownership, by themselves, acted to raise the relative demand for unskilled workers in the pre-crisis period, while the newness of capital was associated with increased relative demand for skilled workers. Overall, the relative demand for unskilled workers increased yet their relative wage position weakened. These contrasting relative employment and wage changes are consistent with the examined demand shocks and the greater elasticity of supply of Indonesian unskilled relative to skilled labour.