Incorporating immigrant flows into microsimulation models

Building on the research on immigrant earnings reviewed in the first article of this series, "Research on Immigrant Earnings," the preceding article, "Adding Immigrants to Microsimulation Models," linked research results to various issues essential for incorporating immigrant earnings into microsimulation models. The discussions of that article were in terms of a closed system. That is, it examined a system in which immigrant earnings and emigration are forecast for a given population represented in the base sample in the microsimulation model. This article, the last in the series, addresses immigrant earnings projections for open systems--microsimulation models that include projections of future immigration. The article suggests a simple method to project future immigrants and their earnings. Including the future flow of immigrants in microsimulation models can dramatically affect the projected Social Security benefits of some groups.     

Research on immigrant earnings

As the first in a trio of pieces devoted to incorporating immigration into policy models, this review of research on immigrant earnings trajectories brings to light several findings. Controlling for demographic and human capital characteristics, immigrants often start their U.S. lives at substantially lower earnings, but experience faster earnings growth than natives with comparable years of education and experience. The extent to which the earnings trajectories of immigrants and natives differ varies by country of origin, with the source-country's level of economic development being a key determinant of the size of the U.S.-born/ foreign-born difference. The earnings profiles of immigrants from economically developed countries such as Japan, Canada, or Western Europe resemble those of U.S. natives who are of the same age and education level. In contrast, the earnings of immigrants from developing nations tend to start well below those of U.S. natives with comparable education levels and experience, but rise more rapidly than their U.S. counterparts. Comparing the earnings profiles of immigrants of similar age, sex, and years of schooling, over time and across groups, a strong inverse relationship emerges between their initial earnings and their subsequent U.S. earnings growth. In other words, the lower (higher) the initial earnings are, the higher (lower) the earnings growth. These and other research results have important implications for the projection of immigrant earnings and emigration in microsimulation models, as discussed in the two articles following this one: (1) "Adding Immigrants to Microsimulation Models" and (2) "Incorporating Immigrant Flows into Microsimulation Models".     

Actuarial status of the OASI and DI Trust Funds

This article presents the summary of the 1988 Annual Report of the Board of Trustees of the Old-Age, Survivors, and Disability Insurance (OASDI) Trust Funds. It summarizes the financial condition and actuarial status of the OASDI program based on the alternative projections. The long-range 75-year estimates indicate that, under the intermediate (II-A and II-B) assumptions, the OASDI program will experience about three decades of positive annual balances, with continuing annual deficits thereafter. The positive balances in the first part of the 75-year projection period nearly offset the later deficits, so that the program, as a whole is in close actuarial balance. Over the long-range projection period, the OASDI program has an actuarial deficit of 0.58 percent of taxable payroll, based on the intermediate alternative II-B assumptions and calculated on a level-financing basis. The DI program by itself, however, is not in close actuarial balance for the next 75 years. The actuarial deficit for the DI program could be remedied by a small reallocation of the contribution rate from OASI to DI, in such a way that the OASI program would remain in close actuarial balance. Although the Trustees are not recommending such a reallocation, they note that the financial condition of the DI program will need to be carefully monitored.     

Projecting immigrant earnings: the significance of country of origin

This article asks whether information about immigrants beyond their age, education, and years since migration can be productively used to project their earnings. Although many factors could affect immigrant earnings, what is most useful for Social Security modelling purposes is relevant information that is readily available on a continuous basis. Country of origin is a good candidate, as it is regularly and readily available from several administrative and survey data sources. In this article, microdata samples from the 1960-90 censuses are used to examine the relationship between country of origin and the earnings of immigrants. By following cohorts of immigrants over 10-year intervals, we learn how country of origin affects the initial earnings of immigrants and how the relationship between country of origin and immigrant earnings changes as immigrants continue to live in the United States. The article also presents theoretical insights and empirical evidence about the underlying causes of the link between country of origin and immigrant earnings.     

Financial status of social security program after the Social Security Amendments of 1977

The Social Security Amendments of 1977 resulted in substantial improvement in the current and projected financial condition of the OASDI program. This article reviews the causes of the recent operating deficits, describes the effects of the amendments that most influence the program's financial status, and gives projections of income and expenditures under the new law. The revised benefit formula eliminates the "over-indexing" expected to occur under the old provisions and results in stable earnings-replacement ratios under practically all future economic conditions. About one-half of the long-range actuarial deficit was resolved by this step alone. Increases in the contribution and benefit base, along with tax-rate reallocations and increases, prevent the imminent depletion of the OASI and DI trust funds. Increased income due to the higher wage bases is partially offset in later years, however, by greater benefit payments based on the increases in the coverage of total earnings. Overall, under the new law the OASDI program is projected to be financed adequately for about 50 years but significant operating deficits are expected after that. The financial condition of the hospital insurance program was substantially unchanged by the amendments, however, and the HI trust fund is expected to be exhausted in 1988.     

Actuarial status of the OASI and DI Trust Funds

This article summarizes the current financial and actuarial status of the Old-Age, Survivors, and Disability Insurance (OASDI) program. The results presented are from the 1984 Trustees Report and are similar to the results in the 1983 report. This year's estimates show that the Social Security Amendments of 1983 restored the financial soundness of the OASDI program. According to the actuarial estimates, benefits can be paid on time throughout the 1980's and for many years thereafter. Because trust fund levels are projected to be relatively low through 1987, however, the program could again experience financial difficulties in the near future if economic conditions become worse than anticipated under the pessimistic (Alternative III) assumptions. After 1987, the program's ability to withstand economic downturns is projected to improve. On the basis of intermediate (Alternative II-B) assumptions, the OASDI program is in long-range close actuarial balance. This actuarial balance reflects substantial year-by-year surpluses during the first half of the 75-year projection period that are slightly out-weighed by substantial deficits later on.     

Do party leadership contests forecast British general elections?

When assessing election forecasts, two important criteria emerge: their accuracy (precision) and lead time (distance to event). Curiously, in both 2010 and 2015 the most accurate forecasts came from models having the longest lead time—albeit at most 12 months. Can we increase the lead time further, supposing we tolerate a small decrease in accuracy? Here, we develop a model with a lead time of more than 3 years. Our Party Leadership Model relies on the votes of MPs when selecting their party leader. We assess the forecasting quality of our model with both leave-one-out cross-validation and a before-the-fact forecast of the 2019 general election. Compared to both simple forecasting methods and other scientific forecasts, our model emerges as a leading contender. This result suggests that election forecasting may benefit from developing models with longer lead times, and that party leaders may influence election outcomes more than is usually thought.     

Forecasting proportional representation elections from non-representative expectation surveys

This study tests non-representative expectation surveys as a method for forecasting elections. For dichotomous forecasts of the 2013 German election (e.g., who will be chancellor, which parties will enter parliament), two non-representative citizen samples performed equally well than a benchmark group of experts. For vote-share forecasts, the sample of more knowledgeable and interested citizens performed similar to experts and quantitative models, and outperformed the less informed citizens. Furthermore, both citizen samples outperformed prediction markets but provided less accurate forecasts than representative polls. The results suggest that non-representative surveys can provide a useful low-cost forecasting method, in particular for small-scale elections, where it may not be feasible or cost-effective to use established methods such as representative polls or prediction markets.     

Stochastic models of the Social Security trust funds

Each year in March, the Board of Trustees of the Social Security trust funds reports on the current and projected financial condition of the Social Security programs. Those programs, which pay monthly benefits to retired workers and their families, to the survivors of deceased workers, and to disabled workers and their families, are financed through the Old-Age, Survivors, and Disability Insurance (OASDI) Trust Funds. In their 2003 report, the Trustees present, for the first time, results from a stochastic model of the combined OASDI trust funds. Stochastic modeling is an important new tool for Social Security policy analysis and offers the promise of valuable new insights into the financial status of the OASDI trust funds and the effects of policy changes. The results presented in this article demonstrate that several stochastic models deliver broadly consistent results even though they use very different approaches and assumptions. However, they also show that the variation in trust fund outcomes differs as the approach and assumptions are varied. Which approach and assumptions are best suited for Social Security policy analysis remains an open question. Further research is needed before the promise of stochastic modeling is fully realized. For example, neither parameter uncertainty nor variability in ultimate assumption values is recognized explicitly in the analyses. Despite this caveat, stochastic modeling results are already shedding new light on the range and distribution of trust fund outcomes that might occur in the future.     

Social Security area population projections: 1987

The following article, first published as Actuarial Study No. 99, describes the population projections that underlie the long-range cost estimates for the Old-Age, Survivors, and Disability Insurance (OASDI) program, which are included in the 1987 Report of the OASDI Board of Trustees. The projections start from a recent estimate of the population in the Social Security Area by age, sex, and martial status and from an estimate of existing marriages by age of husband and age of wife. Three separate projections, denoted Alternatives I, II, and III, are developed by analyzing historical data and making three different sets of assumptions about future net immigration, birth rates, and death rates.     

Fundamental models for forecasting elections at the state level

This paper develops new fundamental models for forecasting presidential, senatorial, and gubernatorial elections at the state level using fundamental data. Despite the fact that our models can be used to make forecasts of elections earlier than existing models and they do not use data from polls on voting intentions, our models have lower out-of-sample forecasting errors than existing models. Our models also provide early and accurate probabilities of victory. We obtain this accuracy by constructing new methods of incorporating various economic and political indicators into forecasting models. We also obtain new results about the relative importance of approval ratings, economic indicators, and midterm effects in the different types of races, how economic data can be most meaningfully incorporated in forecasting models, the effects of different types of candidate experience on election outcomes, and that second quarter data is as predictive of election outcomes as third quarter data.     

Citizenship,enclaves and earnings: comparing two cool countries

This paper uses the Canadian 2006 Census and the Swedish 2006 register data to analyse the citizenship effect on the relative earnings of immigrants, using instrumental variable regression to control for citizenship acquisition. We ask: ‘Is there a citizenship effect and if any, in which country is it that we find the largest effect and for which immigrant groups?’ We add one further dimension, asking if the size of the co-immigrant population in the municipality has an effect on earnings. We find that the impact of citizenship acquisition is substantial in both Canada and Sweden. However, the place of birth of immigrants is important. In most cases, immigrant women in Sweden enjoy a higher citizenship premium than is the case for immigrant women in Canada. Amongst men the picture is more mixed. Most European groups receive a larger citizenship premium in Canada as compared to Sweden. Being in a city with more immigrants of the same background is better for earnings in Sweden than in Canada. However, being in a city with a lot of immigrants (regardless of origin) is better in Canada as compared to Sweden.     

State Revenue Forecasts and Political Acceptance: The Value of Consensus Forecasting in the Budget Process

Concerns about political biases in state revenue forecasts, as well as insufficient evidence that complex forecasts outperform naive algorithms, have resulted in a nearly universal call for depoliticization of forecasting. This article discusses revenue forecasting in the broader context of the political budget process and highlights the importance of a forecast that is politically accepted—forecast accuracy is irrelevant if the budget process does not respect the forecast as a resource constraint. The authors provide a case illustration in Indiana by showing how the politicized process contributed to forecast acceptance in the state budget over several decades. They also present a counterfactual history of forecast errors that would have been produced by naive algorithms. In addition to showing that the Indiana process would have outperformed the naive approaches, the authors demonstrate that the path of naive forecast errors during recessions would be easily ignored by political actors.     

The British general election: Synthetic forecasts

Election forecasting work, in Britain and elsewhere, has been confined mainly to traditional approaches – statistical modeling or poll-watching. We import a new approach, which we call synthetic modeling. These models, developed out of forecasting efforts from the American 2012 presidential election, we are currently testing in a comparative European context. In this exercise, we apply the strategy to forecasting British general elections, in particular the upcoming 2015 contest. These synthetic forecasts come from hybrid models blending structural knowledge with contemporary public opinion. We generate ongoing nowcasts, from six months prior, to one month before, Election Day itself.     

Disabled workers and the indexing of Social Security benefits

We examine how benefit amounts and family income would change in response to changing the Social Security (Old-Age, Survivors, and Disability Insurance, OASDI) benefit indexing scheme. We are interested in a class of reform options designed to gradually slow the growth of benefits across the board. These options include the "price indexing" and "longevity indexing" proposals that have been part of the recent Social Security reform debate in the United States as well as a range of proposals developed in Europe. In this article, we focus on the distributional effects on the disabled. This focus leads to two comparisons. First, we compare disabled-worker beneficiaries to another group that would be affected by the changes, retired-worker beneficiaries. Second, we examine relative changes for particularly vulnerable subgroups of disabled workers. In the empirical analysis, we use two illustrative examples of potential indexing changes: Shifting from wage indexing to price indexing of the initial level of OASDI benefits; and Adjusting the initial benefit level for changes in life expectancy at retirement, that is, longevity indexing. We employ a historical counterfactual simulation to evaluate outcomes that would have resulted from changing the indexing scheme at one particular point in time. The hypothetical implementation period begins with the historical start of the current regime of indexing in 1979 and ends with one of the reference periods of the 1996 Survey of Income and Program Participation (SIPP), a 17-year period. However, we briefly assess the extent to which the results would be applicable to other time horizons. The analysis uses a cross-sectional sample of OASDI beneficiaries from the 1996 SIPP matched to Social Security administrative records. Further, we use total income from the SIPP (as adjusted to correspond to the calculated OASDI benefit amounts) to simulate eligibility for Supplemental Security Income (SSI) and SSI benefit amounts. Our overall findings pertain to three outcomes: (1) effects on OASDI benefits viewed in isolation, (2) the offsetting role of SSI, and (3) the diluting effect of other sources of family income. We find that a broader perspective incorporating all three measures is necessary to obtain an appropriate picture of distributional outcomes. Even though the proposals were designed to have proportional effects, differences between groups--such as disabled and retired workers--can arise from differences in the timing of benefit claiming, mortality, and other factors. Specifically, our cross-sectional estimates suggest that the average change in OASDI benefit levels would be higher for disabled-worker beneficiaries than for retired-worker beneficiaries. These differences are attributable to the fact that a higher proportion of the stock of disabled beneficiaries have been on the Disability Insurance (DI) program rolls for a relatively short period of time and therefore have been affected by the shift in indexing scheme for a longer period of time. These results must be interpreted within the context of the methodology that was used. Further, other methodologies may lead to different results. For example, in previous studies that restricted the sample to a particular birth cohort, a higher proportion of disabled workers than retired workers were observed to have been on the DI program rolls for a relatively long period of time. Longer time on the beneficiary rolls corresponds to less exposure to the new indexing scheme and smaller estimated benefit changes. Thus, the same underlying factor-the timing of benefit claiming-influences both results. When the offsetting role of SSI benefits is also considered, we estimate smaller overall changes, especially for those at the bottom of the income distribution. When OASDI and SSI are considered together, differences in average benefit changes between disabled and retired workers are removed. This is due to a higher rate of SSI program participation among disabled workers than among retired workers. In addition, including SSI substantially reduces the proportion of disabled workers that have large simulated changes in benefit amounts. The estimated effects of changing the indexing scheme are further muted when total family income is considered. This occurs on a roughly equivalent scale for disabled and retired workers. As a result, changing the indexing scheme would produce little change in the status quo differences in poverty status between disabled and retired workers. Finally, we examine the most economically vulnerable subgroups of OASDI beneficiaries. Within the general group of beneficiaries, we find that the most vulnerable would be less affected than average, primarily as a result of the mitigating effect of SSI benefits. Further, within the population of disabled-worker beneficiaries, we examine economically vulnerable subgroups including those in the lowest primary insurance amount quartile, with less than a high school education, with an early onset of disability, or a primary mental impairment. These groups would also be less affected than average.     

Actuarial status of the OASI and DI Trust Funds

This article summarizes the current financial condition and actuarial status of the old-age, survivors, and disability insurance (OASDI) program, as shown in the 1986 Annual Report of the Board of Trustees. The Trustees note that the assets of the OASI and DI Trust Funds will be sufficient to permit the timely payment of OASDI benefits for many years into the future, on the basis of all four sets of assumptions shown in the report. For the next 75 years, the estimates show that the OASDI program, overall, is in close actuarial balance, based on the two intermediate sets of assumptions. The DI program by itself, however, is not in close actuarial balance for the next 75 years. The actuarial deficit for the DI program could be remedied by a small reallocation of the contribution rate from OASI to DI, in such a way that the OASI program would remain in close actuarial balance and OASDI benefits would not be affected. Although the Trustees do not at this time recommend such a reallocation, they note that the financial condition of the DI program will need to be carefully monitored for the next several years.     

Collective failure? Lessons from combining forecasts for the UK's referendum on EU membership

Research on election forecasting suggests there are benefits from combining different sources of information. This paper discusses the experience of a combined forecasting method that was developed for the UK’s EU referendum in 2016. The sources included opinion polls, vote expectation surveys, prediction and betting markets, expert and volunteer forecasts, and various forecasting models based on polling and other kinds of data. Averages of sources within each of these categories all, in our final forecast, suggested Remain was more likely to win but with varying degrees of certainty. Combining them produced a forecast that beat some but not others. Opinion polls and citizen forecasts came closest to the true outcome. Betting and prediction market participants and volunteer forecasters were the most overconfident that the UK would vote Remain. This may have been because they were distrustful of the polls following the 2015 general election miss and had too strong an expectation of a late swing towards the status quo similar to those in Scotland in 2014 and Quebec in 1995.     

Policy Implications of Limiting Immigrant Concentration in Danish Public Schools

Immigrant students in Denmark on average perform worse in lower secondary school than native Danish students. Part of the effect may not stem from the immigrant students themselves, but from the student composition at the school. From a policy perspective, the latter aspect is quite interesting since it is more feasible to change student composition in schools than the socioeconomic status of the individual students. This article describes theoretically the circumstances under which total student achievement can be increased by reallocating certain groups of students. Empirical analyses of Danish register data of more than 40,000 students suggest that the gain in total student achievement by reallocating immigrant students is minor. The educational outcome of immigrant students can however, ceteris paribus, be increased, at minimal expense to the majority of native Danish students' educational outcome, by limiting the share of immigrant students at grade level at any one school to less than 50 percent. The policy implications of this finding are discussed.     

Presidential Elections and the Stock Market: Comparing Markov-Switching and Fractionally Integrated GARCH Models of Volatility

Bumba Mukherjee Department of Political Science, Florida State University, 554 Bellamy Building, Tallahassee, FL 32306 e-mail: smukherj{at}mailer.fsu.edu Existing research on electoral politics and financial marketspredicts that when investors expect left parties—Democrats(US), Labor (UK)—to win elections, market volatility increases.In addition, current econometric research on stock market volatilitysuggests that Markov-switching models provide more accuratevolatility forecasts and fit stock price volatility data betterthan linear or nonlinear GARCH (generalized autoregressive conditionalheteroskedasticity) models. Contrary to the existing literature,we argue here that when traders anticipate that the Democraticcandidate will win the presidential election, stock market volatilitydecreases. Using two data sets from the 2000 U.S. presidentialelection, we test our claim by estimating several GARCH, exponentialGARCH (EGARCH), fractionally integrated exponential GARCH (FIEGARCH),and Markov-switching models. We also conduct extensive forecastingtests—including RMSE and MAE statistics as well as realizedvolatility regressions—to evaluate these competing statisticalmodels. Results from forecasting tests show, in contrast toprevailing claims, that GARCH and EGARCH models provide substantiallymore accurate forecasts than the Markov-switching models. Estimatesfrom all the statistical models support our key prediction thatstock market volatility decreases when traders anticipate aDemocratic victory.     

Educational and economic characteristics of student beneficiaries: black-white differences

This article compares black and white student beneficiaries under the old-age, survivors, and disability insurance (OASDI) program during the 1972-73 school year from the standpoint of differences in economic and educational characteristics. The role that OASDI played in enabling students to continue in school full time is studied. The findings show that relatively more blacks were in the student beneficiary population than in the general student population; they were also overrepresented among students attending high school. Blacks were disadvantaged with respect to the educational attainment of their fathers and in terms of total family income. They also had lower-grade-point averages and those in high school were older than their white counterparts. Black high school students nevertheless planned to continue their education and to attend 4-year colleges in about the same proportion as whites. The total amount of educational income of black students was greater than that of white students, but the members of the latter group received more from loans and miscellaneous sources. Grants were the most important source of educational income for blacks. About half the student beneficiaries said they could continue full time in school without benefits and a third said they could not.