Wednesday, July 02, 2014

Income Inequality...Cured. Get (and stay) educated, Get (and stay) employed, Get (and stay) married



Three important "Get and Stays" and a lot of this country's problems would disappear. 
PROBLEM SOLVED. YOUR WELCOME!!! 
It even makes Bloomberg embrace conservative values. It must be that obvious. 


The U.S. compares very poorly to most other Western industrialized nations:
http://www.ritholtz.com/blog/wp-content/uploads/2013/07/fdafd.jpg
Washington may pay lip service to reducing inequality. But – as we will show below – bad government policy is largely responsible.
The Hard Facts of Inequality

who's-who's of prominent economists in government and academia have all said that runaway inequality can cause financial crises.
from Carpe Diem:



Posted: 06 Dec 2013 09:03 AM PST
This week, President Obama called America's "dangerous and growing" income inequality the "defining challenge of our time,"and he plans to put the issue of income inequality at the center of his agenda during the remainder of his second term. The president is not alone in his concern about income inequality – there's been a lot of discussion in recent years on the issue, especially concerns about "increasing income inequality." That concern is demonstrated by more than 1 million search results for the term "increasing income inequality" on Google. However, there's apparently not as much attention or concern about "explaining income inequality" (there are only178,000 Google search results for that term), and that's the topic that this post will attempt to address.

Most of the discussion on income inequality focuses on the relative differences over time between low-income and high-income American households, but it's also instructive to analyze the demographic differences among income groups at a given point in time to answer the question: How are high-income households different from low-income households?

The chart above (click to enlarge) shows some key demographic characteristics of U.S. households by income quintiles for 2012, using updated data from the Census Bureau (herehere and here, and see my previous versions of this analysis for years 2009 and 2010 and 2011).
Below is a summary of some of the key demographic differences between American households in different income quintiles in 2012:

1. Mean number of earners per household. On average, there are significantly more income earners per household in the top income quintile households (2.04) than earners per household in the lowest-income households (0.45). It can also be seen that the average number of earners increases for each higher income quintile, demonstrating that one of the main factors in explaining differences in income among U.S. households is the number of earners per household. Also, the unadjusted ratio of average income for the highest to lowest quintile of 15.8 times ($181,905 to $11.490), falls to a ratio of only 3.5 times when comparing "income per earner" of the two quintiles: $89,169 for the top fifth to $25,533 for the bottom fifth.

2. Share of households with no earners. Sixty-one percent of U.S. households in the bottom fifth of Americans by income had no earners for the entire year in 2012. In contrast, only 3% of the households in the top fifth had no earners in 2012, providing more evidence of the strong relationship between household income and income earners per household.

3. Marital status of householders. Married-couple households represent a much greater share of the top income quintile (77.5%) than for the bottom income quintile (17%), and single-parent or single households represented a much greater share of the bottom 20% of households (83.0%) than for the top 20% (22.5%). Like for the average number of earners per household, the share of married-couple households also increases for each higher income quintile.

4. Age of householders. Almost 8 out of every 10 households (79.5%) in the top income quintile included individuals in their prime earning years between the ages of 35-64, compared to fewer than half (47.3%) of household members in the bottom fifth who were in that prime earning age group last year. The share of householders in the prime earning age group of 35-64 year olds increases with each higher income quintile.
Compared to members of the top income quintile of households by income, household members in the bottom income quintile were 1.6 times more likely (23.5% vs. 14.8%) to be in the youngest age group (under 35 years), and more than 5 times more likely (29.2% vs. 5.7%) to be in the oldest age group (65 years and over).

6. Work status of householders. More than four times as many top quintile households included at least one adult who was working full-time in 2012 (78.2%) compared to the bottom income quintile (only 18.2%), and more than five times as many households in the bottom quintile included adults who did not work at all (67.3%) compared to top quintile households whose family members did not work (12.5%). The share of householders working full-time increases at each higher income quintile.

7. Education of householders. Family members of households in the top fifth by income were six times more likely to have a college degree (77.2%) than members of households in the bottom income quintile (only 12.9%). In contrast, householders in the lowest income quintile were 26 times more likely than those in the top income quintile to have less than a high school degree in 2012 (26.7 % vs. 1.0%). As expected, the Census data show that there is a significantly positive relationship between education and income.

Bottom Line: Household demographics, including the average number of earners per household and the marital status, age, and education of householders are all very highly correlated with household income. Specifically, high-income households have a greater average number of income-earners than households in lower-income quintiles, and individuals in high income households are far more likely than individuals in low-income households to be well-educated, married, working full-time, and in their prime earning years. In contrast, individuals in lower-income households are far more likely than their counterparts in higher-income households to be less-educated, working part-time, either very young (under 35 years) or very old (over 65 years), and living in single-parent households.

The good news is that the key demographic factors that explain differences in household income are not fixed over our lifetimes and are largely under our control (e.g. staying in school, getting and staying married,etc.), which means that individuals and households are not destined to remain in a single income quintile forever. Fortunately, studies that track people over time indicate that individuals and households move up and down the income quintiles over their lifetimes, as the key demographic variables highlighted above change, see CD posts herehere andhere. And Thomas Sowell pointed out earlier this year in his column "Income Mobility" that:
Most working Americans who were initially in the bottom 20% of income-earners, rise out of that bottom 20%. More of them end up in the top 20% than remain in the bottom 20%. People who were initially in the bottom 20% in income have had the highest rate of increase in their incomes, while those who were initially in the top 20% have had the lowest. This is the direct opposite of the pattern found when following income brackets over time, rather than following individual people.




It's highly likely that most of today's high-income, college-educated, married individuals who are now in their peak earning years were in a lower-income quintile in their prior, single younger years, before they acquired education and job experience. It's also likely that individuals in today's top income quintiles will move back down to a lower income quintile in the future during their retirement years, which is just part of the natural lifetime cycle of moving up and down the income quintiles for most Americans. So when we hear the President and the media talk about an "income inequality crisis" in America, we should keep in mind that basic household demographics go a long way towards explaining the differences in household income in the United States. And because the key income-determining demographic variables change over a person's lifetime, income mobility and the American dream are still "alive and well" in the US.


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from Carpe Diem:

Posted: 04 Feb 2014 01:22 PM PST
Income2012

In a December 2013 CD post, I featured the chart above (click to enlarge) that displays Census Bureau data of various household demographic factors by income quintile in 2012 (education, marital status, average number of earners, percent working full-time, age, etc.) that help us understand the factors that explain differences in household income.

In a recent National Review article ("The Working Rich"), Kevin Williamson refers to some similar, slightly older data (from 2011 I think) to make several important points: a) the wealthiest and highest-earning Americans are not "idle rich" but rather work very hard for their money, and b) the poor can learn some lessons from them to become more wealthy themselves. Here's an excerpt:
Rich America is working America: Wealthy households contain on average more than four times as many full-time workers as do poor households, and, surprisingly, inherited wealth constitutes a smaller share of their assets than it does for middle-class and poor households. They live modestly relative to their means and for the most part do not work on Wall Street or as corporate executives. The caricature of the rich American as a child of privilege who inherited a fortune and spends his days shuttling between mansions in a private jet is largely a product of the imagination of such would-be class warriors as Elizabeth Warren and Robert Reich, neither of whom lives in Section 8 housing, or even downwind of it.

There is a reason that money earned from work accounts for a relatively large share of the holdings of rich Americans: They work more — a lot more. While Census Bureau data document a very large gap in the prevalence of college degrees among the top 20 percent  of  households vs. the bottom 20 percent, there is an even larger and more significant gap — 60 percentage points — between full-time employment for householders in the top income group (78.2% in 2012, see chart above) vs. the bottom income group (18.2%). There is, to be sure, such a thing as the working poor, but the most salient characteristic of poor households is the lack of full-time workers in them. For the bottom income group, there is an average of 0.42 earners per household (0.45 in 2012), with 68.2 percent (67.3 percent in 2012) of householders not working at all, as opposed to 1.97 earners (2.04 in 2012) per household and only 13.3 percent (12.5 percent in 2012) not working for the highest income group. The answer to poverty turns out to be "get a job," after all — though that should be an aspiration toward which we assist the poor rather than a contemptuous dismissal of their needs.

Family matters. Not surprisingly, 78.4 percent (77.5 percent in 2012) of those highest-income families were married couples, as opposed to 17 percent (18.2 percent) for the lowest-income group. What this all means in brief is that the highest-income families are composed almost exclusively of two-earner households, the overwhelming majority of them married couples. Those who are inclined to see public policy mainly through green eyeshades may sniff at the social conservatives and their quaint worries about marriage, but there is a very strong connection between how we conduct our family lives and our economic outcomes — the very word "economy" derives from the Greek term for household administration, οἰκονομία. All the best people may roll their eyes at "tiger mom" Amy Chua's admiration for Asian-American, Nigerian-American, and Mormon domestic culture, but it is difficult to dismiss the results.
MP: As I concluded in my December post, household demographics like the average number of earners per household and the marital status, age, and education of householders are all very highly correlated with household income. Specifically, high-income households have a greater average number of income-earners than households in lower-income quintiles, and individuals in high income households are far more likely than individuals in low-income households to be well-educated, married, working full-time, and in their prime earning years. In contrast, individuals in lower-income households are far more likely than their counterparts in higher-income households to be less-educated, working part-time, either very young (under 35 years) or very old (over 65 years), and living in single-parent households.

The good news is that the key demographic factors that explain differences in household income are not fixed over our lifetimes and are largely under our control (e.g. staying in school, getting and staying married,etc.), which means that individuals and households are not destined to remain in a single income quintile forever. Fortunately, studies that track people over time indicate that individuals and households move up and down the income quintiles over their lifetimes, as the key demographic variables highlighted above change. And as Kevin points out, if the poor pay attention, they can learn from the rich and become better off themselves by investing in education, getting and staying married, and working full-time.




Is Inequality a Problem that needs Fixing?


Put me down for a "NO" on this one. 

No comments:

Giants Top Minor League Prospects

  • 1. Joey Bart 6-2, 215 C Power arm and a power bat, playing a premium defensive position. Good catch and throw skills.
  • 2. Heliot Ramos 6-2, 185 OF Potential high-ceiling player the Giants have been looking for. Great bat speed, early returns were impressive.
  • 3. Chris Shaw 6-3. 230 1B Lefty power bat, limited defensively to 1B, Matt Adams comp?
  • 4. Tyler Beede 6-4, 215 RHP from Vanderbilt projects as top of the rotation starter when he works out his command/control issues. When he misses, he misses by a bunch.
  • 5. Stephen Duggar 6-1, 170 CF Another toolsy, under-achieving OF in the Gary Brown mold, hoping for better results.
  • 6. Sandro Fabian 6-0, 180 OF Dominican signee from 2014, shows some pop in his bat. Below average arm and lack of speed should push him towards LF.
  • 7. Aramis Garcia 6-2, 220 C from Florida INTL projects as a good bat behind the dish with enough defensive skill to play there long-term
  • 8. Heath Quinn 6-2, 190 OF Strong hitter, makes contact with improving approach at the plate. Returns from hamate bone injury.
  • 9. Garrett Williams 6-1, 205 LHP Former Oklahoma standout, Giants prototype, low-ceiling, high-floor prospect.
  • 10. Shaun Anderson 6-4, 225 RHP Large frame, 3.36 K/BB rate. Can start or relieve
  • 11. Jacob Gonzalez 6-3, 190 3B Good pedigree, impressive bat for HS prospect.
  • 12. Seth Corry 6-2 195 LHP Highly regard HS pick. Was mentioned as possible chip in high profile trades.
  • 13. C.J. Hinojosa 5-10, 175 SS Scrappy IF prospect in the mold of Kelby Tomlinson, just gets it done.
  • 14. Garett Cave 6-4, 200 RHP He misses a lot of bats and at times, the plate. 13 K/9 an 5 B/9. Wild thing.

2019 MLB Draft - Top HS Draft Prospects

  • 1. Bobby Witt, Jr. 6-1,185 SS Colleyville Heritage HS (TX) Oklahoma commit. Outstanding defensive SS who can hit. 6.4 speed in 60 yd. Touched 97 on mound. Son of former major leaguer. Five tool potential.
  • 2. Riley Greene 6-2, 190 OF Haggerty HS (FL) Florida commit.Best HS hitting prospect. LH bat with good eye, plate discipline and developing power.
  • 3. C.J. Abrams 6-2, 180 SS Blessed Trinity HS (GA) High-ceiling athlete. 70 speed with plus arm. Hitting needs to develop as he matures. Alabama commit.
  • 4. Reece Hinds 6-4, 210 SS Niceville HS (FL) Power bat, committed to LSU. Plus arm, solid enough bat to move to 3B down the road. 98MPH arm.
  • 5. Daniel Espino 6-3, 200 RHP Georgia Premier Academy (GA) LSU commit. Touches 98 on FB with wipe out SL.

2019 MLB Draft - Top College Draft Prospects

  • 1. Adley Rutschman C Oregon State Plus defender with great arm. Excellent receiver plus a switch hitter with some pop in the bat.
  • 2. Shea Langliers C Baylor Excelent throw and catch skills with good pop time. Quick bat, uses all fields approach with some pop.
  • 3. Zack Thompson 6-2 LHP Kentucky Missed time with an elbow issue. FB up to 95 with plenty of secondary stuff.
  • 4. Matt Wallner 6-5 OF Southern Miss Run producing bat plus mid to upper 90's FB closer. Power bat from the left side, athletic for size.
  • 5. Nick Lodolo LHP TCU Tall LHP, 95MPH FB and solid breaking stuff.