Center on Wealth and Philanthropy Individual Giving model: ForeCASt For 2009

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Center on Wealth and Philanthropy Individual Giving model: ForeCASt For 2009 30 Advancing Philanthropy January/February 2010

BY JOHN J. HAVENS AND PAUL G. SCHERVISH For large diverse populations, such as that of the United States, household charitable giving is most strongly and consistently related to household income and wealth. Most national and state estimates of future charitable giving are based in large part on macro or micro values of income and wealth. Researchers can measure how changes in income and wealth, for example during the 2008 2009 recession, affect changes in charitable giving only when data on financial resources and their valuation become available. Fortunately, some of this financial information becomes available on a preliminary basis each quarter. However, there are no quarterly data on charitable giving. To date, researchers have been unable to generate estimates of household charitable giving (and their relationship to income and wealth) in as timely a way as may be useful for charities. Charities naturally would like to know estimates of charitable giving, for example, for the most recent quarter and to receive projections for the near future. To fill this need, we constructed the Center on Wealth and Philanthropy Individual Giving Model (IGM), which estimates how the most recent changes in financial resources affect the aggregate level of individual charitable giving. Our IGM estimates only household giving what researchers refer to as individual charitable giving. The model s estimates do not include giving from foundations, corporations or charitable bequests from estates. The initial test of the model produced results that were surprisingly (and coincidentally) close to the actual figures for 2008 reported by Giving USA 2009. We were especially surprised by these results because, although net worth was fully integrated into the model, income and unemployment have not yet been fully integrated. Nevertheless, we consider the model, even at this early stage of development, promising enough to describe its characteristics and to convey its predictions for individual charitable giving in 2009. In this first description and demonstration of the IGM, we examine the current year of 2009, seeking to predict how changes in the fi nancial resources of households during the current recession affected household charitable giving (see sidebar on page 35). In the first test of Version 1.0 beyond the base year of 2007, the IGM predicted individual giving for 2008 for each quarter and then also for the year as a whole. Giving USA 2009 estimated individual giving for 2008 to be $229.28 billion (2008 dollars). The IGM predicted aggregate giving in 2008 (Chart 3) to be $229.36 billion (2008 dollars). This estimate is almost identical to that of Giving USA 2009, despite using different data and a different methodology. We do not expect our model to predict this well on a regular basis. The main purpose of the IGM is, of course, to forecast giving during, rather than after, a calendar year. To this end, we designed the model to be calibrated annually and modified every three months based on data that are released quarterly or more frequently. These data include price and market indices, along with components of income and networth components. These data enable us to provide quarterly estimates that will comprise at least a current indicator of how individual charitable giving is progressing on a national basis. A valuable aspect of the model is that, in the course of obtaining aggregate national estimates of individual giving, it produces estimates on a household-by-household basis. This does not mean that each individual household estimate is accurate. Rather, due to cancellation of errors, we do believe that estimates for large groupings of households, such as baby boomers, inheritors, business owners, age groups and income and wealth segments, are accurate enough to indicate quarterly and annual trends in giving. Predictions for Individual Giving in 2009 To estimate levels of giving requires knowing or projecting household income and wealth for the relevant time period. In using the model to estimate giving for 2009, we used federal data on household income and wealth through the third quarter of the year. In predicting giving for subsequent quarters into 2010, we projected income and wealth based on an array of financial indicators. We developed high-growth and a low-growth estimates of charitable giving based on respective high-growth and low-growth projections of income and wealth. We believe Version 1.0 of the model tends to overstate giving. For instance, the component of unemployment income is negatively related to charitable giving. Hence, its absence in the current model leads to higher predictions than will be the case when we make unemployment income one of the determinants in the model. Through a series of technical procedures we were able to obtain an approximation of the difference including income would make in current predictions for 2009. From this analysis, we deem that the following projections need to be lowered by as much as 2.1 percent. low-growth Scenario Charts 1 and 2 present the income and wealth paths of the www.afpnet.org Advancing Philanthropy 31

Chart 1 Personal Income () Low-Growth Scenario $12,400 $12,200 $12,000 $11,800 $11,600 $11,400 $11,200 $11,000 $10,800 $10,600 $11,473 $12,170 $11,972 $11,252 $60,000 $58,066 Chart 2 Household Net Worth (Billions of Dollars) Low-Growth Scenario Billions of Current Dollars $55,000 $50,000 $45,000 $40,000 $35,000 $45,103 $49,673 $46,337 $30,000 Chart 3 Preliminary Annualized Levels of Individual Giving (Approx by Quarter) Lower-Growth Scenario $240 $235 $230 $225 $220 $215 $210 $205 $200 $235.27 $229.36 $217.15 $224.25 $221.06 $212.53 Calculated at the Center on Wealth and Philanthropy at Boston College. Red Level of Annual Giving Predicted at End of Each Quarter (based on available data) Blue Level of Annual Giving Predicted for the Year (based on available data) White Level of Annual Giving Predicted at End of Each Quarter (based on projected data) Green Level of Annual Giving Predicted for the Year (based on projected data) 32 Advancing Philanthropy January/February 2010

low-growth scenario. Chart 3 presents the model s estimate of charitable giving in the low-growth scenario. In all three charts, the red bars indicate what has happened each quarter so far, while the white bars are projections for future quarters. In Chart 3, the blue bars indicate the predictions for total giving in a past year, while the green bar is the estimated level of giving for 2009. Based on actual and projected data, the income path declines from the beginning through the end of 2009. Due to the actual growth in wealth during the second and third quarters, wealth trends upward for the year, even in the lowgrowth scenario. Chart 1 indicates that total income declines in 2009 at an annual rate of 4.3 percent in current dollars and 6.4 percent when adjusting for inflation that occurred during the year (assuming a 1 percent rate of inflation in the fourth quarter). Chart 2 indicates that during the same period, net worth increases at an annual rate of 7.0 percent in current dollars and 4.6 percent in inflation-adjusted dollars. Based on these paths, the model predicts giving levels for this low-growth recovery scenario. Chart 3 indicates that household charitable giving is predicted to be $221.06 billion in current dollars in 2009 and $216.19 billion when adjusted for the inflation that occurred during 2009. These estimates constitute a decline in charitable donations of 3.6 percent from their 2008 level in current dollars and 5.7 percent in inflation-adjusted dollars. As indicated above, these percentages do not take into account the impact of income components. With these income components in the mix, the decline measured in current dollars could reach 5.7 percent, while the decline in inflation-adjusted dollars may be as great as 9.0 percent, respectively. This means that 2009 charitable giving could be closer to $216.29 billion rather than $221.06 billion in current dollars, and closer to $208.22 billion than to $216.19 billion adjusting for inflation. If income and wealth follow our lowgrowth projections, charitable giving in 2010 will continue to decline to an annual level of $212 billion in the second quarter of 2010, an additional decline of 3.9 percent from 2009. With full income integration, the decline in 2010 would also be greater than what Chart 3 currently indicates. High-Growth Scenario Charts 4 and 5 present the income and wealth projections for the high-growth scenario, which envisions a recovery. Chart 6 presents the corresponding high-growth estimates for charitable giving. Charts 4 and 5 follow the same color scheme as Charts 1 and 2; Chart 6 follows the same color scheme as Chart 3. From the beginning through the end of 2009, the income path in the high-growth scenario declines at 1.3 percent in current dollars and declines by 3.4 percent in inflationadjusted dollars, assuming a 1 percent rate of inflation in the fourth quarter of 2009. During the same period, the net worth path grows at 8.1 percent in current dollars and 5.8 percent in inflation-adjusted dollars. The high-growth projections for individual charitable giving shown in Chart 6 indicate that household giving is predicted to be $223.13 (current dollars, assuming low inflation in the fourth quarter) in 2009 and $218.22 in inflationadjusted dollars. This estimate of charitable giving reflects a decline of 2.7 percent from its 2008 level in current dollars and 4.9 percent in inflation-adjusted dollars. Again, with the Chart 4 Personal Income () High-Growth Scenario $12,400 $12,200 $12,000 $11,800 $11,600 $11,400 $11,200 $11,000 $11,473 $12,170 $11,972 $11,962 www.afpnet.org Advancing Philanthropy 33

incorporation of income components, the aforementioned declines could be as high as 4.8 percent and 8.7 percent, respectively. This means that 2009 charitable giving in the high-growth scenario could be closer to $218.35 billion rather than $223.13 billion in current dollars, and closer to $209.45 billion than to $218.22 billion adjusting for inflation. It is also important to note that the high-growth annual estimate is only $2 billion more than the corresponding lowgrowth annual estimate for 2009. This is because income and net worth for 2009 are known through the third quarter. As a result, the only difference between the low-growth and the high-growth scenarios derives from the disparity in projected high-growth and low-growth levels of wealth and income for just the final quarter of 2009. Looking toward 2010, the high-growth scenario forecasts a return to a prerecession level of individual charitable giving. However, this predicted upturn could be reduced when the model fully integrates components of income. Conclusion Although our IGM estimates short-term changes in individual charitable giving, it assumes that the deeper motivations for giving continue to operate at the individual and household level. Giving depends on the capacity to give. Nemo dat quod non habet no one (can) give what one does not have. However, much of our work on philanthropy over the past 25 years has emphasized the moral and spiritual aspects of the supply or donor side that also mobilize financial philanthropy. So many of the dynamics of giving for individuals depend not only on financial capacity, but also on the level of urgency, meaningfulness, identification and gratitude that donors feel. Chart 5 Household Net Worth (Billions of Dollars) High-Growth Scenario Billions of Current Dollars $60,000 $55,000 $50,000 $45,000 $40,000 $35,000 $58,066 $45,103 $49,181 $53,893 $30,000 Chart 6 Preliminary Annualized Levels of Individual Giving (Approx by Quarter) Higher-Growth Scenario $240 $235 $230 $225 $220 $215 $210 $205 $235.27 $229.36 $217.15 $224.25 $223.13 $234.02 Calculated at the Center on Wealth and Philanthropy at Boston College. Red Level of Annual Giving Predicted at End of Each Quarter (based on available data) Blue Level of Annual Giving Predicted for the Year (based on available data) White Level of Annual Giving Predicted at End of Each Quarter (based on projected data) Green Level of Annual Giving Predicted for the Year (based on projected data) 34 Advancing Philanthropy January/February 2010

As Anthony Giddens insists (The Constitution of Society: Outline of the Theory of Structuration, University of California Press, 1984, pp. 343 354), there can be no absolute laws or sure predictions regarding the behavior of knowledgeable agents. Even in the face of harsh circumstances, agents remain imbued with knowledge and choice. As such, agents are always able to intervene in the world; that is, they are able to act otherwise, thereby voiding a predicted trajectory (The Constitution of Society: Outline of the Theory of Structuration, p. 14). So, too, with our predictions. In the face of both upturns and downturns, donors on the supply side and charities on the demand side may change their conduct so as to deter or spur giving in contrast to whatever a financially based prediction model would forecast. There are certainly many technical ways our model may fal- ter or be in need of improvement. However, even when we are far along in developing its financial parameters, it will remain important to recognize the major sociological insight about money: financial activity is never simply behavior; it is always simultaneously a matter of normative consciousness. For that reason, we need to explore at every crossroad in philanthropic giving and not just its economic dynamics. We also must explore how self-reflective agents alter the trajectories of the economic forces. John J. Havens is associate director and senior research associate at the Center on Wealth and Philanthropy at Boston College. Paul G. Schervish is professor of sociology and director of the Center on Wealth and Philanthropy at Boston College, www.bc.edu/cwp. The Individual Giving Model The Individual Giving Model (IGM) is based on a number of techniques, including multivariate statistics and microsimulation. The goal is to forecast the annual amount of individual charitable contributions, and the unit of analysis is the household. The model translates changes in financial resources and their components into changes in charitable giving on a household-by-household basis for a nationally representative sample of households. The process is modified by various characteristics of the household. In contrast to models that directly measure aggregate giving, the IGM is a bottom-up, micro-level prediction and estimation model. It builds up to aggregate findings from individual household estimates. Figure 1 lists the income components, the wealth components and the other variables in the model. In developing the model, we found that a simple model based on income and wealth predicts giving in 2007 with a modest explanation of 22 percent of the variation in giving (R 2 =.22). Our first full Version 1.0 of the IGM predicts giving for the 2007 base year with an explanatory power of 57 percent (R 2 =.57), more than double that of the simple model. We intend to improve the model with the goal of having subsequent versions eventually reach or surpass the ability to explain 80 percent of what is going on with individual giving. Currently, only total aggregate household income is fully integrated into the model. The first and most important next step in improving the model will be to substitute the various components of income in place of just total income. Figure 1 CWP Individual Giving Prediction Model Version 1.0 Goal: Estimate annual household charitable giving based on readily available data Dependent variable: Annual charitable giving of household Independent variables: Income Earned income (wage, salary, self employment) Unearned income (interest, dividends, rents, royalties, capital gains) Income from retirement funds Other Income Wealth Real estate Vehicles Other tangible assets Business equity Deposits (checking, saving, time, money market, call accounts) CDs Stocks Bonds Mutual funds Savings bonds Retirement funds Cash value of life insurance Annuities and trusts Other financial assets Real estate debt Credit card debt Installment debt Lines of credit Other debt Other variables Age Race Marital status Education Employment status Retirement status Occupation Welfare status Health status Home ownership Business ownership Presence of family foundation Volunteer behavior Positive savings from income Philanthropymotivated saving Luck in financial affairs Risk taking in financial decisions Spending more if assets appreciate Unit of analysis: Household Prediction by simple model (income and net worth) of household giving in base year R 2 =.22 Prediction by IGM of household giving in base year: R 2 =.57 www.afpnet.org Advancing Philanthropy 35