Category: budgeting

Budget Perspective

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June 2, 2019

by Steve Stofka

How does your spending compare with others in your age group? Working age readers may compare their budgets with widely published averages that are misleading because they include seniors as well as those who are still living at home with their parents or are going to college. Let’s look at spending patterns classified by working age consumers 25-65 and seniors whose spending patterns change once they retire.

The Bureau of Labor Statistics collects data on consumer behavior by conducting regular surveys of household spending (Note #1). These surveys provide the underlying data for the computation of the CPI, the Consumer Price Index. Social Security checks and some labor contracts are indexed to this measure of inflation.

The BLS also provides an analysis of consumer purchasing by household characteristics, including age, race, education, type of family, and location (Note #2). Spending and income patterns by age contained some surprises (Note #3). The average income of 130,000 people surveyed in 2017 was $73K. Seniors averaged $25K in Social Security income. Younger workers aged 25-34, the mid-to-late Millennials, earned $69K, near the average of all who were surveyed. Following the Great Financial Crisis, this age group – what were then the early Millennials in 2010 – earned only $58K, so the growing economy has lifted incomes for this age group by 20% in seven years.

Home ownership is around 62% for the whole population, but far above that average for older consumers. 78-80% of people 55 and older own their own homes. More than 50% of those have no mortgage but too many seniors do not have enough savings. In many states, property taxes are the chief source of K-12 education funding and older consumers have the fewest children in school. Older consumers on fixed budgets resist higher property taxes to fund local schools and they vote in local elections at much higher rates than younger people. Since 2000, per pupil spending has grown more than 20% but most of that gain came in the 2000s.  In the past twelve years, real per pupil spending has barely increased (Note #4). Below is a chart from the Dept. of Education showing per pupil inflation adjusted spending.

Graph link: https://nces.ed.gov/fastfacts/display.asp?id=66

Saving is an expense and working age consumers aged 25-65 are saving 9-12% of their after-tax income, twice as much as the 5.6% average. Wait – isn’t saving the process of not spending money? How can it be an expense?  Call it the imaginary expense, as fundamental to our life cycle as i, the imaginary square root of -1, is to the mathematics of cyclic phenomena. Let’s compare today’s savings percentage with the panic years of 2009-10 just after the financial crisis. Workers in the 25-34 age group – who should have been spending money on furniture and cars and eating out – were saving 20% of their after-tax income (Note #5). That age group will probably carry the lessons – and caution – learned as they began their working career after the financial crisis.

Workers 25-65 spend 28-32% of their after-tax income on housing. Until they are 65, people spend a consistent 12% of their income on food, both at and away from home. Seniors spend less on food but most of that change is because they spend less money eating out at restaurants. Working age consumers spend more on transportation than they do on food – a consistent 15% of after-tax income.

People 65 and older are entitled to Medicare but they spend more on health insurance than working people and the dollar amount of their spending on health care rises by 50%. As a percent of after-tax income, seniors spend 15% while people of working age spend about 6%. Ouch. I’m sure many seniors are not prepared for those additional expenses.

Those of working age should compare their budget averages to other workers, not to the national averages, which include older people and those under 25. Summing up the major expense categories: workers are averaging 30% for housing, 15% for transportation, 12% for food, 11% for personal insurance, pensions and Social Security contributions, 10% for savings and 6% for healthcare.

As Joey on the hit TV show Friends would often say, “So how you doin’?”

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Notes:

  1. Explanation of Consumer Expenditure Survey
  2. Consumption patterns – list Table 1300
  3. The most recent detailed analyses available are for 2017.
  4. Dept of Ed data
  5. Spending and income levels for those aged 25-34 2009-2010.

Productivity And Labor Unions

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February 5, 2017

About 10% of all workers, public and private, belong to a union. Today the percentage of private sector employees who are unionized is the same as in 1932, eighty years ago. (Wikipedia) The rise and fall of unon membership looks like the familiar bell curve, with the peak in the 1970s. The causes of the decline are debated but some attribute the erosion of union power as an important factor in wage stagnation.

The major factor is not declining union membership but declining productivity, and that persistent decline has economists and policymakers baffled.  Higher productivity should equal higher wage growth and, in the 30 year post-war period 1948-1977, multi-factor productivity (MFP) annual growth averaged 1.7%. MFP includes both labor and capital inputs. In the 40 year period from 1976-2015, MFP growth averaged about half that rate – .9%.

prodmfp1948-2015

In the debate over the causes of the decline, some contend that all the easy gains were made by 1980.  Productivity is now returning to a centuries long growth trend that is less than 1%. In an October 2016 Bloomberg article, Justin Fox picked apart BLS data to show that growth has been flat in some key manufacturing areas for the past three decades. The ten-fold surge in productivity growth in the tech sector is largely responsible for any growth during the past 30 years. OECD data indicates that other developed countries are experiencing a similar lack of growth (OECD Table) When no one can conclusively demonstrate what the causes are for the decline, policymakers face tough challenges and even tougher debate over the solutions.

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LoanGate

LoanGate may the next scandal. A few months ago, the Dept of Education (DoE) revealed that they had seriously undercounted student loan delinqencies because of a programming error. When the Wall St. Journal analyzed the revised data, they found that the majority of students at 25% of all colleges and trade schools in the U.S. had defaulted on their student loan or failed to make any repayment.  (WSJ article)

The Obama administration forced the closure of many private institutions whose students had low repayment rates. In 2015, Corinthian Colleges shuttered the last of its schools and filed for bankruptcy. The revised data show that many more institutions, both public and private, should be shut down.

This latest programming error at the DoE follows other embarrassing episodes during the two Obama terms. In October 2013, the rollout of Obamacare was riddled with programming errors that blocked many applicants from enrolling in a plan with healthcare.gov.

In 2010, the IRS delayed many applications for 501(c)3 tax status from mostly conservative political groups. Lois Lerner, the head of the agency, first claimed that these had been innocent clerical mistakes by an overworked staff, but a series of hearings uncovered the fact that employees at the IRS had acted on their own political feelings and deliberately targeted these groups. (Mother Jones)

In yet another incident, the Office of Personnel and Managment (OPM), the HR dept for thousands of Federal employees, revealed in 2016 a data breach involving 22,000,000 personnel records, including Social Security numbers.  Unchecked programming errors and data breaches erode the public’s faith in public institutions.  That these mistakes happened under a Democratic administration favoring ever bigger public institutions to solve ever bigger social problems is especially embarrassing.

When Obama first took office in 2009, the inflation adjusted total of student debt had quadrupled in the 15 year period (DoE paper – page 1) since 1993. By the time he left office eight years later, student debt had grown ten-fold to $1.3 trillion. The delinquency rate on that debt is 11% but the repayment rate is considered a better predictor of future delinquencies. The revised data reduced the combined repayment rate to a little more than 50% (Inside Higher Ed), far lower than the 75% plus repayment rates of a few decades ago.

The defaults are coming and there will be an inevitable call for a taxpayer bailout.  A popular element of Bernie Sanders’ Presidential platform was that a college education should be free. In the real world, nothing is free, so somebody pays.  Who should pay and how much will further aggravate tensions in an already divided electorate.

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Five Year Rule

A few weeks ago I wrote about the 5-year rule, a backstop to any allocation rule. Any money needed in the next five years should be in stable assets like short to intermediate term bonds, CDs and cash. Why 5 years of income? Why not 2 years or 10 years? Answer: History.

Let’s look back at 80 years in 5 year slices, or what is called 5-year rolling periods. As an example, the years 2000 – 2004 would be a 5-year rolling period. 2001 – 2005 would be the next period, and so on.

Saving me the time and effort of running the data on stock market returns is a blogger at All Financial Matters who put together a table of this very data for the years 1926-2012. The table shows that the SP500 has held or increased its inflation adjusted value (very important that we look at the real value) almost 75% of the time. So the 5-year rule guards against a loss of value the other 25% of the time.

The 5-year rule can apply whenever there are anticipated income needs from our savings: retirement, college expenses, sickness or disability, and even a greater chance of losing our jobs. In a retirement span of 25 years, 6 of those years will fall into that 25% category. The 5-year rule minimum usually kicks in toward the end of retirement when a person’s reserves are lower and prudence is especially important.

 

Home Sweet Asset

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April 3, 2016

Normally we do not include the value of our home in our portfolio.  A few weeks ago I suggested an alternative: including a home value based on it’s imputed cash flows.  Let’s look again at the implied income and expense flows from owning a home as a way of building a budget.  The Bureau of Labor Statistics and the Census Bureau take that flow approach, called Owner Equivalent Rent (OER), when constructing the CPI, and homeowners are well advised to adopt this perspective.  Why?

1) By regarding the house as an asset generating flows, it may provide some emotional detachment from the house, a sometimes difficult chore when a couple has lived in the home a long time, perhaps raised a family, etc.

2) It focuses a homeowner on the monthly income and rent expense connected with their home ownership.  It asks a homeowner to visualize themselves separately as asset owner and home renter. It is easy for homeowners to think of a mortgage free home as an almost free place to live. It’s not.

3) Provides realistic budgeting for older people on fixed incomes.  Some financial planners recommend spending no more than 25% of income on housing in order to leave room for rising medical expenses.  Some use a 33% figure if most of the income is net and not taxed.  For this article, I’ll compromise and use 30% as a recommended housing share of the budget.

A fully paid for home that would rent for $2000 is an investment that generates an implied $1400 in income per month, using a 70% net multiplier as I did in my previous post. Our net expense of $600 a month includes home insurance, property taxes, maintenance and minor repairs, as well as an allowance for periodic repairs like a new roof, and capital improvements.

Using the 30% rule, some people might think that their housing expense was within prudent budget guidelines as long as their income was more than $2000 a month.  $600 / $2000 is 30%.

However, let’s separate the roles involved in home ownership.  The renter pays $2000 a month, implying that this renter needs $6700 a month in income to stay within the recommended 30% share of the budget for housing expense.  The owner receives $1400 in net income a month, leaving a balance of $5300 in income needed to stay within the 30% budget recommendation. $6700 – $1400 = $5300.  Some readers may be scratching their heads.  Using the first method – actual expenses – a homeowner would need only $2000 per month income to stay within recommended guidelines.  Using the second method of separating the owner and renter roles, a homeowner would need $5300 a month income. A huge difference!

Let’s say that a couple is getting $5000 a month from Social Security, pension and other investment income.  Using the second method, this couple is $300 below the prudent budget recommendation of 30% for housing expense.  That couple may make no changes but now they understand that they have chosen to spend a bit more on their housing needs each month.  If – or when – rising medical expenses prompt them to revisit their budget choices, they can do so in the full understanding that their housing expenses have been over the recommended budget share.

This second method may prompt us to look anew at our choices.  Depending on our needs and changing circumstances, do we want to spend $2000 a month for a house to live in?  Perhaps we no longer need as much space.  Perhaps we could get a suitable apartment or townhome for $1400?  Should we move?  Perhaps yes, perhaps no.  Separating the dual roles of owner and renter involved in owning a home, we can make ourselves more aware of the implied cost of our decision to stay in the house.  A house may be a treasure house of memories but it is also an asset.  Assets must generate cash flows which cover living expenses that grow with the passage of time.

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The Thrivers and Strugglers

“Bravo to MacKenzie. When she was born, she chose married, white, well-educated parents who live in an affluent, mostly white neighborhood with great public schools.”

In a recent report published by the Federal Reserve Bank at St. Louis, the authors found that four demographic characteristics were the chief factors for financial wealth and security:  1) age; 2) birth year; 3) education; 4) race/ethnicity.

While it is no surpise that our wealth grows as we age, readers might be puzzled to learn that the year of our birth has an important influence on our accumulation of wealth.  Those who came of age during the depression had a harder time building wealth than those who reached adulthood in the 1980s.

Ingenuity, dedication, persistence and effort are determinants of wealth but we should not forget that the leading causes of wealth accumulation in a large population are mostly accidental.  It is a humbling realization that should make all of us hate statistics!  We want to believe that success is all due to our hard work, genius and determination.

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Employment

March’s job gains of 215K met expectations, while the unemployment rate ticked up a notch, an encouraging sign.  Those on the margins are feeling more confident about finding a job and have started actively searching for work.  The number of discouraged workers has declined 20% in the past 12 months.

Employers continue to add construction jobs, but as a percent of the workforce there is more healing still to be done.

The y-o-y growth in the core workforce, aged 25-54, continues to edge up toward 1.5%, a healthly level it last cleared in  the spring of last year.

The Labor Market Conditions Index (LMCI) maintained by the Federal Reserve is a composite of about 20 employment indicators that the Fed uses to gauge the overall strength and direction of the labor market.  The March reading won’t be available for a couple of weeks, but the February reading was -2.4%.

Inflation is below the Fed’s 2% target, wage gains have been minimal, and although employment gains remain relatively strong, there is little evidence to compel Chairwoman Yellen and the rate setting committee (FOMC) to maintain a hard line on raising interest rates in the coming months.  I’m sure Ms. Yellen would like to get Fed Funds rate to at least a .5% (.62% actual) level so that the Fed has some ability to lower them again if the economy shows signs of weakening.  Earlier this year the goal was to have at least a 1% rate by the end of 2016 but the data has lessened the urgency in reaching that goal.

ISM will release the rest of their Purchasing Manager’s Index next week and I will update the CWPI in my next blog.  I will be looking for an uptick in new orders and employment.  Manufacturing lost almost 30,000 jobs this past month – most of that loss in durable goods.  Let’s see if the services sector can offset that weakness.

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Company Earnings

Quarterly earnings season is soon upon us and Fact Set reports that earnings for the first quarter are estimated to be down almost 10% from this quarter a year ago.  The ten year chart of forward earnings estimates and the price of the SP500 indicates that prices overestimated earnings growth and has traded in a range for the past year.  March’s closing price was still below the close of February 2015.  Falling oil prices have taken a shark bite out of earnings for the big oil giants like Exxon and Chevron and this has dragged down earnings growth for the entire SP500 index.

Disposable Personal Income

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Disposable personal income is a benchmark that is used to assess aspects of our financial condition, like debt and wealth. What is it? It is gross income, including any transfer payments like Social Security that we receive, less taxes.

Discretionary income is what we have left of disposable income after paying our rent or mortgage, utilities, food and clothing – the essentials. Discretionary implies that we have some choice about whether to spend the money or not. What is discretionary to one person may seem like a necessity to another person. For those of us who are having some financial difficulties, it can be both fruitful and painful to reassess our guidelines for what is a necessity. A cell phone, once regarded as a luxury item, is now considered by many to be a utility like electricity. Is the monthly $100 voice/data plan we are on a necessity or could we get by with a $30 monthly voice plan instead? As I said, these reassessments can be painful.

Some regard a new car every three years a necessity while others view it as a luxury. In any assessment of our personal expenses, it is frightingly easy to lie to ourselves, to convince ourselves that something really is an absolute necessity and to line up several reasons why a particular item is a necessity.

Of the two income benchmarks, disposable personal income (DPI) is easier to measure and to gauge our debt. Household debt, which includes both consumer and residential mortgage debt, was about 80% of disposable personal income during the 1980s and 1990s. Household debt is now 122% of DPI, down from 129%. Americans are saving more but they have quite a ways to go to decrease their debt levels.

Credit Guard has a good guide to personal budgeting.