In his state of the union and his budget, the President spoke of the stagnation of middle class incomes. Whatever growth we have had has not been broadly shared.  More than 78% of the growth in GDP between 1979 and 2013 has gone to the top one percent. Even Republicans are beginning to worry about this issue although they have yet to develop concrete proposals to address it.

Slow Growth in Incomes

Middle class incomes were growing slowly before the recession and have actually declined over the past decade.   In addition, according to the New York Times, the proportion of the population with incomes between $35,000 and $100,000 in inflation-adjusted terms fell from 53% in 1967 to 43% in 2013.  During the first four decades this was primarily because more people were moving into higher income groups, but more recently it was because they have moved down the ladder, not up.  One can define the middle class in many different ways or torture the data in various ways, but there is plenty of evidence that we have a problem.

What to Do

The most promising approach is what I call “the second earner solution.”  For many decades now, the labor force participation rate of prime age men has been falling while that of women has been rising.  The entry of so many women into the labor force was the major force propelling whatever growth in middle class incomes occurred up until about 2000. That growth in women’s work has now levelled off.  Getting it back on an upward track would do more than any policy I can think of to help the middle class.

Imagine a household with one earner making the average wage of today’s worker and spending full-time in the job market.  That household will have an income of around $34,000. But if he (or she) has a spouse making a similar amount, the household’s income will double to $68,000. That is why the President’s focus on a second-earner credit of $500, a tripling of the child care tax credit, expanding the Earned Income Tax Credit, and providing paid leave are so important. These policies are all pro-work and research shows they would increase employment.

No Marriage = No Second Earner

One problem, of course, is that fewer and fewer households contain two potential workers.  So it would also help to bring back marriage or at least its first cousin, a stable cohabiting relationship.  My ideas on this front are spelled out in my new book, Generation Unbound. In a nutshell, we need to empower women to not have children before they have found a committed partner with whom to raise children in a stable, two-parent family. Whatever the other benefits of two parents, they have twice as much time and potentially twice as much income.    

Other Needed Responses

Shouldn’t we also worry about the wages or the employment of men?  Of course.  But an increase in, say, the minimum wage or a better collective bargaining environment or more job training will have far smaller effects than “the second earner solution.”  In addition, the decline in male employment is related to still more difficult problems such as high rates of incarceration and the failure of men to take advantage of postsecondary education as much as women have. 

Still the two-earner solution should not be pursued in isolation. In the short-term, a stronger recovery from the recession is needed and in the longer-term, more effective investments in education, research, infrastructure, and in labor market institutions that produce more widely-shared growth, as argued by the Commission on Inclusive Prosperity. But do we really expect families to wait for these long-term policies to pay off?  It could be decades. 

In the meantime, the President’s proposals to make work more appealing to existing or potential second earners deserves more attention.  

It is estimated that there are 95 mobile phone subscriptions per 100 inhabitants worldwide, and this boom has not been lost on the developing world, where the number of mobile users has also grown at rocket speed. In fact, in recent years the information communication technology (ICT) revolution has provided opportunities leading to “death of distance,” allowing many obstacles to better livelihoods, especially for those in remote regions, to disappear. Remarkably, though, the huge proportion of poverty-stricken populations in so many of those same regions persists.

How might, then, we think differently on the relationship between these two ideas? Can and how might ICTs act as an engine for eradicating poverty and improving the quality of life in terms of better livelihoods, strong education outcomes, and quality health? Do today's communication technologies hold such potential?

In particular, the mobile phone’s accessibility and use creates and provides us with an unprecedented volume of data on social interactions, mobility, and more. So, we ask: Can this data help us better understand, characterize, and alleviate poverty?

Mapping call data records, mobility, and economic activity

The first step towards alleviating poverty is to generate poverty maps. Currently, poverty maps are created using nationally representative household surveys, which require manpower and time. Such maps are generated at a coarse regional resolution and continue to lag for countries in sub-Saharan Africa compared to the rest of the world.

As call data records (CDRs) allow a view of the communication and mobility patterns of people at an unprecedented scale, we show how this data can be used to create much more detailed poverty maps efficiently and at a finer spatial resolution. Such maps will facilitate improved diagnosis of poverty and will assist public policy planners in initiating appropriate interventions, specifically at the decentralized level, to eradicate human poverty and ensure a higher quality of life.

In order to create these detailed poverty maps, we first define the virtual network of a country as a “who-calls-whom” network. This signifies the macro-level view of connections or social ties between people, dissemination of information or knowledge, or dispersal of services. As calls are placed for a variety of reasons, including request for resources, information dissemination, personal etc., CDRs provide an interesting way to construct a virtual network for Senegal.

We start by quantifying the accessibility of mobile connectivity in Senegal, both spatially and across the population, using the CDR data. This quantification measures the amount of communication across various regions in Senegal. The result is a virtual network for Senegal, which is depicted in Figure 1. The circles in the map correspond to regional capitals, and the edges correspond to volume of mobile communication between them. Thicker edges mean higher volume of communication. Bigger circles mean heavier incoming and outgoing communication for that region.

Figure 1: Virtual network for Senegal with MPI as an overlay

Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015

Figure 1 also shows the regional poverty index[1] as an overlay. A high poverty index corresponds to very poor regions, which are shown lighter green on the map. It is evident that regions with plenty of strong edges have lower poverty, while most poor regions appear isolated. 

Now, how can we give a more detailed look at the distribution of poverty? Using the virtual network, we extract quantitative metrics indicating the centrality of each region in Senegal. We then calculate centrality measures of all the arrondissements[2] within a region. We then correlate these regional centrality measures with the poverty index to build a regression model. Using the regression model, we predict the poverty index for each arrondissement.

Figure 2 shows the poverty map generated by our model for Senegal at an arrondissement level. It is interesting to see finer disaggregation of poverty to identify pockets of arrondissement, which are most in need of sustained growth. The poorer arrondissements are shown lighter green in color with high values for the poverty index.

Figure 2: Predicted poverty map at the arrondissement level for Senegal with MPI as an overlay

Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015.

What is next for call data records and other Big Data in relation to eradicating poverty and improving the human development?

This investigation is only the beginning. Since poverty is a complex phenomenon, poverty maps showcasing multiple perspectives, such as ours, provide policymakers with better insights for effective responses for poverty eradication. As noted above, these maps can be used for decomposing information on deprivation of health, education, and living standards—the main indicators of human development index.

Even more particularly, we believe that this Big Data and our models can generate disaggregated poverty maps for Senegal based on gender, the urban/rural gap, or ethnic/social divisions. Such poverty maps will assist in policy planning for inclusive and sustained growth of all sections of society. Our methodology is generic and can be used to study other socio-economic indicators of the society.

Like many uses of Big Data, our model is in its nascent stages. Currently, we are working towards testing our methodology at the ground level in Senegal, so that it can be further updated based on the needs of the people and developmental interventions can be planned. The pilot project will help to "replicate" our methodology in other underdeveloped countries.

In the forthcoming post-2015 development agenda intergovernmental negotiations, the United Nations would like to ensure the “measurability, achievability of the targets” along with identification of 'technically rigorous indicators' for development. It is in this context that Big Data can be extremely helpful in tackling extreme poverty.

Note: This examination was part of the "Data for Development Senegal" Challenge, which focused on how to use Big Data for grass-root development. We took part in the Data Challenge, which was held in conjunction with NetMob 2015 at MIT from April 7-10, 2015. Our team received the National Statistics prize for our project titled, "Virtual Network and Poverty Analysis in Senegal.” This blog reflects the views of the authors only and does not reflect the views of the Africa Growth Initiative.

[1] As a measure of poverty, we have used the Multidimensional Poverty Index (MPI), which is a composite of 10 indicators across the three areas: education (years of schooling, school enrollment), health (malnutrition, child mortality), and living conditions.

[2] Senegal is divided into 14 administrative regions, which are further divided into 123 arrondissements.

In his state of the union and his budget, the President spoke of the stagnation of middle class incomes. Whatever growth we have had has not been broadly shared.  More than 78% of the growth in GDP between 1979 and 2013 has gone to the top one percent. Even Republicans are beginning to worry about this issue although they have yet to develop concrete proposals to address it.

Slow Growth in Incomes

Middle class incomes were growing slowly before the recession and have actually declined over the past decade.   In addition, according to the New York Times, the proportion of the population with incomes between $35,000 and $100,000 in inflation-adjusted terms fell from 53% in 1967 to 43% in 2013.  During the first four decades this was primarily because more people were moving into higher income groups, but more recently it was because they have moved down the ladder, not up.  One can define the middle class in many different ways or torture the data in various ways, but there is plenty of evidence that we have a problem.

What to Do

The most promising approach is what I call “the second earner solution.”  For many decades now, the labor force participation rate of prime age men has been falling while that of women has been rising.  The entry of so many women into the labor force was the major force propelling whatever growth in middle class incomes occurred up until about 2000. That growth in women’s work has now levelled off.  Getting it back on an upward track would do more than any policy I can think of to help the middle class.

Imagine a household with one earner making the average wage of today’s worker and spending full-time in the job market.  That household will have an income of around $34,000. But if he (or she) has a spouse making a similar amount, the household’s income will double to $68,000. That is why the President’s focus on a second-earner credit of $500, a tripling of the child care tax credit, expanding the Earned Income Tax Credit, and providing paid leave are so important. These policies are all pro-work and research shows they would increase employment.

No Marriage = No Second Earner

One problem, of course, is that fewer and fewer households contain two potential workers.  So it would also help to bring back marriage or at least its first cousin, a stable cohabiting relationship.  My ideas on this front are spelled out in my new book, Generation Unbound. In a nutshell, we need to empower women to not have children before they have found a committed partner with whom to raise children in a stable, two-parent family. Whatever the other benefits of two parents, they have twice as much time and potentially twice as much income.    

Other Needed Responses

Shouldn’t we also worry about the wages or the employment of men?  Of course.  But an increase in, say, the minimum wage or a better collective bargaining environment or more job training will have far smaller effects than “the second earner solution.”  In addition, the decline in male employment is related to still more difficult problems such as high rates of incarceration and the failure of men to take advantage of postsecondary education as much as women have. 

Still the two-earner solution should not be pursued in isolation. In the short-term, a stronger recovery from the recession is needed and in the longer-term, more effective investments in education, research, infrastructure, and in labor market institutions that produce more widely-shared growth, as argued by the Commission on Inclusive Prosperity. But do we really expect families to wait for these long-term policies to pay off?  It could be decades. 

In the meantime, the President’s proposals to make work more appealing to existing or potential second earners deserves more attention.