Policy

Death penalty versus castration: A thought experiment

By: Lykke E. Andersen*

Stories about sexual violence against girls and women are common in the Bolivian news, but recently the stories have escalated to such hideous levels that the Vice-President of Bolivia has announced a referendum on whether to re-institute life-in-prison and death penalty in Bolivia (1).

For example, last Sunday, one of the guards of the “Defence of Children and Adolescents” facility in La Paz was caught in fraganti sexually violation two under-age girls who had come to the facility because they had suffered abuse (1).

The day before, a step-father and step-grandfather were jailed in Cochabamba for sexually violating and killing a baby girl, who had not even turned two (2).

A couple of weeks before, the President of the Municipal Council of Tapacarí (Cochabamba) was physically and sexually assaulting one of the female members of the Council, and a friend of the woman was trying to stop the assault when the Mayor arrived. But instead of helping the two women, the Mayor exclaimed “Why haven’t you raped these horny whores yet? Rape them and throw them in the river.” (3)

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Equal pay for unequal work: A gender analysis of productivity at INESAD

By: Lykke E. Andersen*

At INESAD there is no gender discrimination in salaries. But there ought to be. As I will show in this blog, women at INESAD are on average about four times more productive than men.

Admittedly, it is a small sample. We are currently only six senior researchers at INESAD: Two females and four males (we recently lost one female to Panama). Junior researchers come and go, and for administrative and support staff it is difficult to measure productivity, so in this blog I will focus on the productivity of the six current senior researchers who were all salaried staff at INESAD during the last three calendar years (2014-2016). All of them have a Ph.D. in Economics from a foreign university many years ago (except one, who didn’t bother to finish and defend his Ph.D.-thesis, because he (correctly) perceived that it would not add to his earnings potential).

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Killing us softly: On gender and violence

By: Lykke E. Andersen*

In 2013, Bolivia passed Law No. 348 titled “The Integral Law to Guarantee Women a Life Without Violence” in order to address the high levels of physical and sexual violence against women, and the unacceptably high levels of femicide (basically defined as a woman being killed by someone she knows).

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On Gender Equality in Education

By: Lykke E. Andersen*

According to The World Bank’s World Development Indicators, there are now more or less an equal number of boys and girls enrolled in primary and secondary school around the World. The worldwide Gender Parity Index has been going up steadily over the last several decades, reaching 99 girls for every 100 boys in 2014, and at this rate of change we would have reached parity last year. This is due to dramatic improvements in girls’ enrolment in Africa and Asia. In Latin America and the Caribbean, in contrast, there have been more girls enrolled than boys already since the early 1980s (see Figure 1).

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If we could measure poverty by gender, what would we find?

By: Lykke E. Andersen*

Poverty is usually measured at the household level, and since there is pretty much the same number of women as men in each household, poverty rates have almost by definition been identical for men and women. This fact, however, has not prevented thousands of articles from claiming that “poverty has a female face” (1). The perception that women are more likely to be poor is almost universal, despite the lack of empirical evidence.

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The need to amend Bolivia’s historic unbalanced growth pattern

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By: Luis Carlos Jemio Ph.D.

 

Historically, Bolivia’s economic growth patterns have depended on export commodity sectors, namely minerals and hydrocarbons, which booms and collapses have determined the behavior of the economy as a whole. Past economic growth patterns have resulted in distorted economic structures, and did not promote better labor market results. In particular,  employment remains heavily concentrated in low-productivity activities, mostly in non-tradable sectors, with high poverty incidence, such as traditional agriculture and urban informal sectors.  The historical patterns of Bolivia’s economic growth have also produced large labor productivity gaps among different sectors of the economy, and within them. In Figure 1, sectors are grouped based on their labor intensity, differentiating them between labor intensive and non-labor intensive sectors.

graficas-21-10-01Figure 1 shows that in 2014, 49.4% of GDP was concentrated in labor-intensive activities, while 50.6% in non labor-intensive activities. Employment, on the other hand, was largely concentrated on labor-intensive activities, which comprised 81.4% of total employment, while non labor-intensive activities only comprised 18.6% of the occupied population.  These GDP and labor structures imply large productivity gaps between the two sector groups, being the average productivity in non labor-intensive sectors 4.5 times larger than that in labor intensive sectors. The productivity gap in turn brought about labor income disparities, with workers employed in non labor-intensive activities earning 2.5 more than those in labor-intensive sectors.

The observed growth patterns of the Bolivian economy, and the economic and employment structures resulting thereafter, have been the outcome of policies implemented in the past. Independent of the ideological orientation of successive governments, policies invariably focussed on promoting growth in non labor-intensive commodity-exporting activities, such as mining and hydrocarbons. For instance, due to the various reforms implemented during the 1990s, FDI flows to those sectors in the 1999-2014 period, almost tripled FDI flows received by labor-intensive sectors.

graficas-21-10-02

The productivity and income gaps existing among activity sectors, resulting from Bolivia’s historic growth patterns, overlap with poverty incidence existing among workers of these two group categories. Figure 2 shows that poverty incidence of workers in labor-intensive sectors is 39.4%, while that for workers in non labor-intensive sectors is only is 15.5%.

Existing productivity and income gaps between these two sector groups are linked to various socio-economic dimensions that characterize the Bolivian labor force, including workers’ informality condition, educational level, gender, ethnicity, geographic location among the most important.

For instance, there are large educational differentials between workers in the two sector groups. In labor-intensive sectors the share of non-skilled workers in total employment is 62.4%, while this share is only 39% in non labor-intensive sectors. The later highlights the importance of education as a means to increase labor productivity and labor earnings and thus reduce poverty incidence.

Existing gaps are also linked to the prevalence of informality among workers belonging to the two sector groups. According to Figure 2, in 2004 77.3% of workers in non labor-intensive sectors were employed in informal activities, while 45.8% of workers employed in non labor-intensive sectors were informal. Informality is measured considering workers in firms with up to four workers (excluding professionals). In this regard, informality can explain productivity and income gaps between and within any particular activity sector. In many sectors, mostly labor-intensive ones, there are formal and informal activities coexisting, with former exhibiting larger productivity and income levels than the later.

Furthermore, the shares of vulnerable groups, such as women and indigenous people, among workers in the two sector groups show that vulnerable groups are mostly employed in labor-intensive sectors, where productivity and incomes are lower, and poverty incidence and informality are higher. The share of women employed in labor-intensive sectors is 44.9%, while this percentage is as low as 25% in non-labor intensive activities.  Likewise, share of indigenous people employed in labor-intensive sectors is 42.5%, while this percentage is only 20.7% for non labor-intensive activities.

From the above analysis, it is clear that Bolivia requires a change in its economic growth pattern to one, which would promote growth based on labor-intensive activities, but with higher productivity, probably in tradable sectors, such as the manufacturing sector. In 2014, manufacturing activities comprised 17.5% of GDP and only 9.3% of employment, being its labor productivity on average more than three times greater than that in other labor-intensive activities.

The development strategy and policies necessaries to promote the required change, at the macro, sectoral and micro levels, need to be carefully designed and implemented. They have to cover a wide range of areas. Appropriate policies  should cover: i) macroeconomic policies, including tax, exchange rate and monetary policies aimed at maintaining macroeconomic stability and promoting competitiveness; ii) trade policies and integration to the global economy; iii) FDI promotion policies to strategic sectors of the economy; iv) sectoral allocation of public investment, mainly to infrastructure and public services; v) setting-up strong and stable institutions to guarantee contract enforcement and the rule of law; vi) improving the overall business climate; vi) and investing in human capital through improving the access to and quality of education and health services.

 

 

 

On politics and parallel universes

By: Lykke E. Andersen

I usually don’t write about politics because I worry more about the long-run, structural obstacles to development, instead of bothering about short-term wriggles, which tend to work themselves out quickly. However, I do worry that the upcoming US election might affect the long-run direction of development not only in the United States, but in the entire World. In addition, the whole thing has turned so bizarre that I am beginning to believe in parallel universes, and I fear that a wormhole has opened up, which will make people from these two separate universes vote in the same election, with very unpredictable results.

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Equality of opportunity and early childhood nutrition in Bolivia

By: Lykke E. Andersen

Creating equality of opportunity is one of the most important roles of the government in any country. It is about leveling the playing field, so that children born into disadvantaged families (through no fault of their own, obviously) will not automatically become disadvantaged themselves and will not automatically transmit these disadvantages to their own children. It is about breaking the vicious cycle and intergenerational transmission of poverty.

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Does Education Pay in Bolivia?

By: Lykke E. Andersen*

Returns to education in Bolivia have been dropping steadily over the last 15 years, to the point that some researchers have argued that education no longer pays[i]. Nevertheless, a record number of young people are in school or university. Are they all wasting their time?

In this blog we will explore what has happened to the returns to education in Bolivia over the last 15 years, using standard household surveys (as well as the students in my Microeconometrics II course at UPB). Read More »

The Many Dimensions of Inequality

By: Lykke E. Andersen*

“The future is already here, it’s just not evenly distributed”
William Gibson

The scale of inequality in this world is almost unfathomable. In 2013, the average inhabitant of Denmark, Norway, Sweden and Qatar earned more in one day than what the average inhabitant of Malawi and Burundi earned during an entire year[1]. Apart from the staggering between-country inequality, there is also vast and increasing inequality within countries. According to United Nations, on average—and taking into account population size—income inequality increased by 11 per cent in developing countries between 1990 and 2010[2]. Currently, about 60% of the variation in incomes across the globe is explained by country citizenship alone, while another 20% is explained by parental income class[3]. This means that at least 80% of the variation in incomes are determined already by birth, leaving less than 20% to be determined by own effort, ingenuity, planning, determination, risk-taking and passion. Thus, the world is not just a place of huge inequality of outcomes, but also of huge inequality of opportunity. Read More »

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