One of IRS’ strategic goals is to provide top-quality service to all taxpayers through fair and uniform application of the law. The Commissioner of Internal Revenue has stated that measuring voluntary compliance is essential for determining IRS’ progress in meeting this goal. However, IRS’ last measure of voluntary reporting compliance was done on tax year 1988 returns, where an estimated 8 percent of taxes owed were underreported on individual tax returns. This measure was developed from data obtained under IRS’ 1988 Taxpayer Compliance Measurement Program (TCMP), which audited a random sample of about 50,000 individual taxpayers. IRS is concerned that these data are too old to be meaningful. IRS last planned to measure voluntary reporting compliance for tax year 1994 returns under TCMP. The 1994 TCMP was an ambitious effort, with IRS planning to audit over 150,000 randomly selected tax returns of individuals, corporations, partnerships, and S-corporations. Over 92,000 of these audits were to be conducted on individuals (including sole proprietors and farmers) filing the Form 1040. Before beginning the audit process, however, IRS canceled TCMP because it was too costly. Also contributing to the project’s cancellation was criticism from Congress, the media, tax community, and taxpayers, because the sample was considered too large and the audits too burdensome on taxpayers. We have previously reported that the results of TCMP studies provided more than just an indicator of compliance status. (See app. III for a list of the reports we have issued on TCMP studies.) The information generated from TCMP surveys was used to help IRS identify compliance trends, and it allowed IRS to suggest changes in tax laws and regulations to improve voluntary reporting compliance. TCMP results were also used to develop formulas that helped IRS more effectively identify noncompliant taxpayers for operational audits. The formulas developed from TCMP data help IRS identify tax returns with a high probability that an audit would detect changes to tax liability. The lower the numbers of returns with no change to tax liability the better the formulas are as predictors of audit opportunity. According to IRS, since return selection formulas were first developed from TCMP data and used to select 1968 tax returns for audit, the number of audits that result in no change to tax liability have been reduced from about 46 percent in the year before the use of formulas to about 19 percent in fiscal year 1994. Starting in fiscal year 1995, however, the number of audits where there was no-change to tax liability after an audit began to increase, and it was 24 percent in fiscal year 1998, raising IRS’ concerns about increasing the burden on compliant taxpayers. TCMP data also enabled IRS to estimate the tax gap, which is the difference between the amount of tax owed and the amount of tax voluntarily paid. The last tax gap estimate was made using 1985 and 1988 TCMP data, in which IRS projected that the individual tax gap for 1992 would be over $93.2 billion. TCMP data were also used by congressional tax writing committees, the Department of Commerce, Department of the Treasury’s Office of Tax Analysis, and state governments. These uses included estimating revenue impacts of new legislation; making adjustments to the national income accounts, such as gross domestic product; and researching tax noncompliance. Some states have also used compliance measurement data to help them develop state compliance programs. In May 2000, IRS established a NRP Program Office to develop an approach for measuring voluntary compliance. While IRS has not finalized its plans for how to measure voluntary reporting compliance as of March 2001, some steps have been taken. The staff has established study objectives and developed a set of guiding principles that are to be adhered to when conducting the study. As of March 2001, IRS had a draft business plan that contained information on four different approaches for measuring voluntary reporting compliance, including two that use random audits. Also, in the event that IRS decides to use audits to measure compliance, the staff plans to use existing data collection software and has started developing database software to organize the data and make it more accessible to staff in the operating divisions. Given the importance of these systems to the program, IRS plans to conduct a comprehensive test of all the software. NRP is IRS’ effort to measure its progress in meeting its strategic goal of providing top-quality service to all taxpayers through fair and uniform application of the law. The NRP Office has developed objectives and established several guiding principles to direct its efforts to plan and implement this program. Table 1 outlines these objectives and guiding principles. The objectives for NRP cover a wide range of uses for compliance data. In addition to the objective of determining the voluntary reporting compliance rate, IRS expects the approved measurement approach to produce data that can be used to update return selection criteria so that it can better detect noncompliance, thus reducing the number of compliant taxpayers selected for operational audits. Similarly, NRP is intended to obtain data that can be used to improve IRS’ operations by providing specific information about noncompliance, allowing IRS to make operational changes that could improve compliance. For example, TCMP data indicated that many taxpayers erroneously claimed dependents on their tax returns. IRS subsequently recommended that Congress require taxpayers to include the dependent’s social security number on their returns. Taxpayers claimed 7 million fewer dependents on their 1987 tax returns, the first year dependent social security numbers were required. The guiding principles represent the conditions under which the study will be conducted to meet the objectives. According to IRS, these principles were developed in response to certain real and perceived deficiencies with prior TCMP studies. For example, IRS recognized the need to limit the burden imposed on taxpayers by measuring their compliance. In 1994, taxpayer burden was one of the key criticisms of doing TCMP audits. Although the current plans for measuring voluntary reporting compliance are not complete, some proposed actions seem likely to reduce the burden imposed on taxpayers if IRS determines that random audits are necessary. These include (1) using a dedicated cadre of auditors for NRP audits, which IRS believes will reduce the time needed for an audit; (2) building a comprehensive preaudit case file for the taxpayers being audited, which will reduce the amount of information auditors must request from the taxpayer; (3) limiting the number of lines audited on some returns; and (4) minimizing the sample size, resulting in fewer taxpayers being inconvenienced by audits. To avoid criticism like that received on its plan for the tax year 1994 TCMP, IRS planned to contact external stakeholders and solicit their ideas and support before making a decision on the final measurement approach. For example, at the time of our review, NRP staff had contacted officials at Treasury to begin discussing any concerns they might have with the study. The Commissioner indicated that he would be contacting interested congressional officials directly. Finally, NRP staff planned to contact members of the tax community, such as tax preparers and accountants. According to NRP staff, other stakeholders would be included as they are identified. To ensure that the measurement approach meets the needs of the operating divisions, NRP officials have begun a dialogue with operating division staff. This process began when NRP staff briefed senior operating division managers on the program’s status. Also, IRS has established an executive steering committee, chaired by the NRP Director, with representatives from the Commissioner’s office, each of the operating divisions, and other potential stakeholders, to ensure high-level, oversight over the study. As of March 2001, the NRP Office had developed a preliminary draft business plan, providing information on how IRS intends to develop a measure of voluntary reporting compliance around the framework of the guiding principles. The plan also shows how IRS intends to determine the most appropriate method for meeting NRP objectives. The plan discusses the pros and cons of four approaches for measuring reporting compliance and how they align with the program’s objectives. These approaches are (1) do not measure voluntary reporting compliance, (2) use operational audit data (i.e., results of IRS’ day-to-day regular audit program), (3) conduct annual random audits of a small sample of taxpayers, or (4) conduct audits of a larger sample once every 3 years. NRP staff has not yet completed their study of the costs and benefits of the various approaches. However, the alternative with a larger sample conducted once every three years is currently the recommended approach. The draft business plan analysis of the approach to stick with the status quo and do nothing points out that this approach would not add to taxpayer burden, but also that it would not meet study objectives. The draft business plan analysis for the approach using operational data, while incomplete, suggests that it may be possible to measure voluntary reporting compliance in this manner. However, the plan notes that although statistical methods exist for using nonrepresentative data to project to an entire population, the methods may not be well suited to analyzing the operational audit data available to IRS. According to NRP officials, more detailed analysis is being done on this approach. As part of its analysis of the two approaches using random samples, IRS plans to minimize the sample size to address the concerns raised about the proposed tax year 1994 TCMP sample being too large. IRS proposes to limit the sample size by reducing the number of groups it plans to analyze. The sample size may also be reduced because IRS does not plan to update the operational audit selection criteria for most nonbusiness taxpayers.Finally, in previous compliance measurement studies, every line of a selected tax return was audited. In keeping with the guiding principle of reducing taxpayer burden, the draft business plan indicates that IRS does not intend to audit each line of every return selected for audit. According to NRP officials, criteria for when to audit a line on the tax return and how to analyze lines that were not audited have not been determined. IRS also intends to include in its NRP business plan a detailed data analysis plan that will show how the information gathered in the study is to be used to meet the study objectives. In the past, we have emphasized the importance of having an analysis plan to show how the data are to be used. Also, such a plan is important to ensure that institutional systems and staff are in place to quickly and efficiently analyze the data and get the results into the hands of managers who can make appropriate changes. NRP officials told us that they are working on these plans with operating division staff and that analysis plans will be included in the final business plan. If either of the two random audit approaches or the use of operational audits is deemed the appropriate method for meeting NRP objectives, IRS plans to use existing reporting and data gathering systems to collect the data. NRP officials believe that using these existing systems—the Report Generating System and the Examination Operational Automation Database—will reduce the time needed to complete data entry. They also believe that using the existing software to collect NRP data will result in more accurate data being added to the database because audit information will be directly entered by auditors in an electronic format, with no need to transcribe it after the audit. IRS is also developing database prototype software that is to interface with the existing systems. IRS officials indicated that when the database program is completed, they plan to conduct an operational test of the combined systems to ensure that they are operating efficiently and will provide the services required for NRP. The six federal programs we studied, like IRS’ TCMP studies, randomly sample their clients to measure compliance with the rules and regulations covering their programs and services. Agencies responsible for these six programs measure compliance to conform to the Government Performance and Results Act (GPRA) of 1993, which required that agencies establish measures to determine the results of agency activities.In general, the agencies use random sampling to reduce the cost and burden of collecting this information. Each of the six programs we studied conducted compliance reviews differently, gathering different amounts and types of information with varying amounts of time required for the review. Table 2 summarizes the characteristics of the random samples used to measure compliance for each of the six programs. While none of the agencies’ mission or responsibilities is exactly like IRS’, there are similarities in how they and IRS treat compliance with the laws and regulations governing their programs. For example, the agencies and IRS try to ensure compliance through efforts that apply to all their clients. Similarly, each agency uses random samples to measure the effectiveness of these efforts and to determine how well they are accomplishing their mission objectives. Another similarity, is that most of the agencies, when measuring compliance, contact clients in person. Finally, the agencies statistically project sample results to the entire client population. Officials in each of the agencies we contacted indicated that the results of random sampling were used to measure progress against the agency’s strategic goals. Most of the agencies also used the data to help make decisions about operational changes that could improve compliance. For example, HCFA used its compliance measurement data to track claims through the processing system and record their disposition so that it could identify areas of concern and develop corrective actions to improve the efficiency and accuracy of the claims processing system. Also, HCFA officials considered the analysis of data generated from compliance measurement to be a tool for assessing the validity of complaints received from health care providers as well as a method for evaluating the contractors providing payment services to the Medicare Program. INS officials told us that they may be able to use compliance measurement data to identify areas where additional training was needed for their inspection staff. Finally, Customs officials indicated that compliance reviews using random samples allow them to make estimates of how much contraband they fail to interdict on the primary inspections. According to these officials, without some secondary review using random sampling, they would only be able to provide Congress with data on the amount and number of illegal imports they were able to identify in their primary inspections. (A more detailed discussion of each agency’s compliance review program can be found in app. IV.) By using statistically valid random samples, agencies can obtain compliance information from a small fraction of the program’s population. For example, as shown in table 2, 55,000 food stamp recipients are sampled out of 7.9 million total recipients. Random sampling allows state and federal officials to obtain data on overall compliance, but burden less than 1 percent of the program’s population. We obtained written comments on this report in a June 11, 2001, letter from the Commissioner of Internal Revenue (see app. IV). In his letter, the Commissioner noted that our report recognizes IRS’ need to measure compliance and develop approaches to effectively identify noncompliance. He further noted that the NRP approach is continuing to evolve and has been somewhat modified to shift more of the burden away from taxpayers and onto IRS. In his letter, the Commissioner stated that the approach currently being considered maximizes the use of data available to IRS and further reduces the need to conduct traditional face-to-face audits. The Commissioner emphasized that the success of NRP is dependent on the acceptance and support of the methodology by stakeholders. He noted that IRS is beginning to get external stakeholders involved in refining the NPR design and that the process will not in any way be considered final until this step is complete. We are sending copies of this report to the Chairman and Ranking Minority Member, Subcommittee on Oversight, House Committee on Ways and Means; the Secretary of the Treasury; and the Commissioner of Internal Revenue. The report is also available at www.gao.gov. If you or your staff have any questions, please contact Ralph Block at (415) 904-2150 or me at (202) 512-9110. Key contributors to this assignment were Lou Roberts and Kathleen Seymour. We initiated this assignment as part of our effort to monitor IRS’ activities related to its reorganization, implementation of its new strategic goals, and development of measures to assess its progress in meeting these goals. Also, we wanted to explore how other agencies assessed compliance with their rules and regulations and measured progress against their strategic goals. Our objective was to determine the status of IRS’ plans to measure voluntary reporting compliance. In addition, we looked at how compliance is measured in six other federal programs. To determine the status of IRS’ efforts to measure voluntary compliance, we reviewed available planning documents, including a preliminary draft of the business plan. We discussed potential methodologies IRS might use to measure voluntary compliance with NRP officials. We also discussed potential sampling methodologies with various officials from IRS’ Research Division as well as NRP officials. We reviewed preliminary documents related to the random sampling methodologies, including an assessment of IRS’ documentation for the additional cases that would be required to update return selection formulas. We talked to officials responsible for developing and managing the data gathering and report writing systems IRS plans to use during its study. Additionally, we reviewed documentation for these systems. We did not evaluate IRS’ overall efforts to measure voluntary compliance because parts of the business plan had not yet been completed. We plan to continue to monitor and report on IRS’ efforts to develop an acceptable approach for measuring voluntary compliance. To describe how other agencies measure compliance, we reviewed information available at federal agency Web sites and identified five agencies and six programs where random sampling was used to determine compliance. We contacted officials from these agencies and reviewed information from the random sampling programs. Table 3 lists the agencies and the programs they administer. At each agency, we obtained documentation about the random sampling efforts and discussed random sampling procedures with agency officials. We also discussed how the data from the random samples were used and how agency operations had been changed based on these data. Our work on the six programs was descriptive, and we did not attempt to assess the effectiveness of the random sampling programs. The following table summarizes IRS’ efforts to measure voluntary compliance using the TCMP surveys between 1963 and 1988. Tax Compliance: Status of the Tax Year 1994 Compliance Measurement Program (GAO/GGD-95-39, Dec. 30, 1994) Tax Compliance: 1994 Taxpayer Compliance Measurement Program (GAO/T-GGD-95-207, July 18, 1995) Letter to the Commissioner on TCMP Errors (GAO/GGD-95- 199R, July 19, 1995) Tax Administration: Information on IRS’ Taxpayer Compliance Measurement Program (GAO/GGD-96-21, Oct. 6, 1995) Tax Administration: Alternative Strategies to Obtain Compliance Data (GAO/GGD-96-89. Apr. 26, 1996) Summary Summarizes uses of TCMP data and outlines who uses the data. Identifies weaknesses of proposed changes and establishes criteria for evaluating proposed changes to measures of voluntary compliance. Summarizes IRS’ plans for the 1994 TCMP and discusses promising changes. Identifies several weaknesses in the plan that IRS needs to fix before implementing the project. Testimony on 1994 TCMP before the Subcommittee on Oversight, Committee on Ways and Means. Discusses uses of TCMP data and status of planned 1994 TCMP effort. Discusses some of the criticisms of TCMP. Identifies GAO reports where TCMP data were used. Summarizes errors in audits for 1988 TCMP and suggests changes to codes to be used to categorize the cause of noncompliance for the planned 1994 TCMP project. Follow-up on issues raised in our December 1994 report concerning timeliness and the types of data IRS planned to gather for TCMP audits. Also, briefly discusses other sources of data on voluntary compliance and the relevance of TCMP data for alternative tax system proposals. Indicates how IRS responded to our recommendations. Summarizes the problems caused by cancellation of the 1994 TCMP project. This report also identifies sampling strategies that will reduce the sample size and still provide some data. Similar to IRS’ prior studies on measuring taxpayer compliance, some federal agencies randomly sample their clients to measure compliance with the rules and regulations covering their programs and services. In general, agencies use random samples to reduce the cost and burden of collecting information on how well the agency is performing its functions. We tried to focus on the following six areas, when the data were available: (1) sample population from which the sample is drawn; (2) sample size; (3) methodology used to select the sample; (4) what data were collected and how they were used; (5) length of time to conduct the case reviews; and (6) cost of the reviews. The agencies we contacted have augmented their efforts to measure compliance since passage of the Government Performance and Results Act (GPRA), which required that agencies establish measures to determine the results of agency activities. GPRA seeks to shift the focus of government decision-making and accountability away from a preoccupation with the activities that are undertaken—such as grants dispensed or inspections made—to focus on the results of those activities, such as real gains in employability, safety, responsiveness, or program quality. GPRA also requires federal agencies to set goals, measure performance, and report on their accomplishments. Measuring compliance is not the same thing as ensuring compliance. Agencies use various processes, including verification of submitted information, in an effort to ensure that all clients are in compliance with the rules and regulations governing the programs. For example, in the Food Stamp program, states verify income and household circumstances during the application process. In contrast, agencies measure compliance to determine the effectiveness of these efforts to ensure compliance. A key difference between efforts to assure compliance and efforts to measure compliance is that assurance generally applies to every client the agency serves while measurements are generally based on a random sample of a small portion of the clientele. The following sections describe the steps five agencies are taking to measure compliance with the laws and regulations governing the six programs we reviewed. The Health Care Financing Administration, part of the Department of Health and Human Services, administers the Medicare Program. Medicare annually pays more than $200 billion to 1 million health care providers for services provided to nearly 40 million seniors and disabled Americans. In August 2000, HCFA developed and began to implement a new measure that looks at the accuracy and documentation for payments to providers. This new compliance measure, called the Comprehensive Error Rate Testing (CERT) Program, is designed to assess how accurately providers bill the Medicare Program and improve on the accuracy and usefulness of existing studies. HCFA has contracted the CERT Program functions to an independent third party that provides the sampled claims database, medical claim reviewers, and various management reports. The annual cost of this contract is $4.1 million. Over the course of each year, a random sample of 120,000 claims is chosen from the over 900 million Medicare claims received. Analysts randomly select 2,000 claims from each of 60 contractors who process Medicare claims—allowing HCFA to make contractor-specific compliance estimates. Medical records for the sampled claims are requested from the provider, and medical professionals independent of HCFA review the records for appropriateness of treatment and accuracy of billing. If necessary, the provider may be contacted and asked to explain items on the claim and related medical records. HCFA is phasing in the CERT project, starting with durable medical equipment claims. It plans to have a baseline error rate for the entire program by December 2002. Subsequently, the error rate will be updated annually. According to HCFA officials, a primary use of the CERT data will be to measure how well they meet the goals established for GPRA. HCFA officials also noted that the data would be used to determine how well contractors were fulfilling their processing functions. Finally, HCFA officials told us that they believe that CERT data can be used to identify problems with the program, such as assertions by providers that claims they submit are often lost or misplaced by HCFA contractors. The Food Stamp Program is the largest of the domestic food and nutrition assistance programs. Administered by the U.S. Department of Agriculture’s Food and Nutrition Service, food stamps worth $16.9 billion were issued to an average of 19.8 million persons per month for fiscal year 1998. Each year, states identify a random sample of individuals receiving food stamps; the sample totals about 50,000 nationwide. States are responsible for conducting eligibility determinations for this sample of households, and certifying the correctness of these eligibility determinations. For example, the state of California had 865,632 food stamp recipients for which the state completed 1,103 reviews for fiscal year 1998. After the state reviews, the quality control group in the Food and Nutrition Service selects a subsample of cases reviewed by the states in order to assess the accuracy of these certification actions. These subsamples are also used to identify the state’s error rate, which affects the amount of funding the state receives for administering the program. In 1998, the Food and Nutrition Service quality control sample ranged from 150 to about 400 cases per state, depending on the state’s level of program participation. For example, 377 cases were sampled from California. State reviews consist of face-to-face interviews with food stamp recipients to determine eligibility and whether they are receiving the proper amount of food stamps. Interviews are conducted at the client’s home, or workplace. The client must provide documentation of their household circumstances, including information on each household member, their income, and the household’s income. State reviewers also obtain information from external databases and other third parties. The interview generally lasts from 30 to 40 minutes. Data are collected on a 16-page data collection instrument. These data are aggregated, and a statewide error rate is calculated. The Food and Nutrition Service validates this process. Food and Nutrition Service officials estimate that the entire compliance and quality control program costs about $72 million annually. According to agency officials, these reviews are used to determine the quality of the states’ efforts to screen applicants for food stamps and to determine how enhanced funding is awarded and liabilities are assessed. These reviews are also used to determine how effectively the program is meeting its goal of improving the accuracy of eligibility determinations and food stamp allotment amounts. The Social Security Administration (SSA) administers the Old Age, Survivors, and Disability Insurance (OASDI) Program, commonly known as Social Security. In fiscal year 1999, SSA made payments of over $382 billion to more than 44 million claimants of retirement and disability insurance payments. With payments this large, even very small payment discrepancies can result in the loss of very large amounts of money. Given the potential magnitude of even small payment discrepancies and the need to protect the Social Security Trust Fund, SSA has made improving payment accuracy a key strategic goal. The payment accuracy rate is determined through an annual review of statistically valid samples in both the old age and disability programs. For the old age program, SSA randomly selects 80 cases per month (960 per year) for review of payment accuracy. In the disability program, 40 cases per month are selected (480 per year). According to SSA officials, these are statistically valid samples from which payment accuracy estimates can be made for the entire program population. SSA reviews the case file and also contacts the claimant either in person or by telephone. Information is obtained from review of SSA files and from the claimant to assess the accuracy of payments. Claimant data are summarized on a 16-page questionnaire. Data obtained from the claimant include other names and social security numbers used in reporting earnings, marital history, disability information, and information on military service. SSA officials told us that the samples and reviews are conducted primarily to measure how well the agency is meeting its objectives of improving payment accuracy. According to SSA officials, however, information from these samples is also used to identify problems with processes related to payment accuracy. The SSI Program is the nation’s largest federally funded cash assistance program for the poor. The program is administered by SSA, and in 1999, paid about $28 billion in benefits to 6.6 million recipients. SSI is a means- tested program designed to provide or supplement the income of aged, blind, or disabled individuals with limited income and resources. SSA’s Office of Quality Assurance and Performance Assessment annually assesses payment accuracy in the SSI Program using a random sample of program participants. SSA selects about 580 SSI recipients a month— almost 7,000 per year—to assess payment accuracy. The only requirement for selection in this review is that the recipient has received a SSI payment during the selection month. SSA uses a 26-page case analysis worksheet to collect information on each of the selected SSI recipients. In each case, SSA conducts a desk review and also contacts the SSI recipient either face-to-face in their homes or over the telephone. During recipient contacts, SSA obtains demographic information, documentation of marital status, work history, income information, and changes in living arrangements, including household composition and expenses. According to SSA officials, this worksheet requires about 1 hour to administer. SSA uses the data obtained from these SSI reviews to calculate a payment accuracy estimate. This estimate is used to assess how effectively and efficiently SSA performs its day-to-day business processes and service delivery functions. These reviews provide the basis for reports to Congress and other monitoring authorities and measure payment accuracy for the SSI Program. Customs is responsible for ensuring that all goods entering and exiting the United States do so in compliance with all U.S. laws and regulations. Customs inspects goods and persons arriving by land, sea, and air at over 300 ports of entry. During fiscal year 2000, Customs processed about 482 million passengers arriving at land and airport ports of entry. Customs conducts several types of random audits as part of its management and quality control efforts. The largest of these random inspection programs is conducted at U.S. land border crossings, where during fiscal year 2000, Customs randomly selected over 326,000 privately owned vehicles entering the country for a detailed secondary inspection. In these inspections, Customs looks for illegal contraband, such as drugs, and other goods that were not declared. Similar random inspections are conducted at the top 20 commercial air passenger ports of entry, where in fiscal year 2000, over 232,000 passengers were randomly selected for detailed secondary inspections. According to Customs officials, these secondary inspections range from 5 minutes to 20 minutes. Longer inspection times occur at land ports of entry, where the inspector must conduct a comprehensive inspection of vehicles. A shorter period is needed at airports, where inspectors generally only look at the contents of baggage. Inspectors complete a one-page data collection instrument, obtaining information such as country of origin, passport information, and other demographic data. Customs also uses a law enforcement network as a data resource for determining criminal activities. Customs uses the information from these secondary inspections to provide an estimate of the number of violators and the effectiveness of its primary inspection process. These inspections also serve as a measure of how well Customs is meeting the goals it established to comply with GPRA. Results of primary inspections only provide data on the number of interdictions made--and not the number that are missed. Customs officials indicated that using random sampling for secondary inspections better meets GPRA goals because the secondary inspections allow them to estimate how much contraband they failed to interdict on the primary inspections. Consequently, using random samples helps them provide Congress with better inspection data overall. Customs officials indicated that the information gathered from these secondary inspections is used to develop training programs for inspectors and to indicate where changes in inspection programs are needed. The mission of the Immigration and Naturalization Service is to ensure that individuals seeking entry to the United States are legally entitled to do so. Economic, demographic, and political pressures worldwide have resulted in continued growth in the number of international migrants seeking to come to the United States, both legally and illegally. INS conducted over 497 million primary inspections in fiscal year 1999 at more than 300 ports of entry. Each year since fiscal year 1999, as part of a pilot program, INS conducts about 17,000 secondary inspections on randomly selected travelers entering the country through 22 of the ports of entry selected for analysis. These inspections are rigorous, supplementary inspections of travelers who have already been cleared through primary inspection. INS is currently evaluating this pilot program. INS officials indicated that, under the pilot program, inspectors personally interview the traveler and review his or her passport and any other documents needed to legally enter the country. INS inspectors complete a one-page data collection instrument and collect data such as citizenship status, date of birth, country of residence, gender, and factors that led to a determination of inadmissible status (if appropriate). INS also conducts physical inspections of personal items, such as contents of luggage, pockets, wallets, and vehicles. Like Customs, INS also uses a law enforcement network as a data resource for determining criminal activities. According to INS officials, each of these inspections, on average, requires an additional 11 minutes for each traveler. INS officials said that primary inspections take less than one minute. According to INS officials, the primary purpose of this pilot program is to determine whether or not these inspections provide a statistically valid performance measure to identify the extent to which noncitizens are being incorrectly admitted to the United States at these 22 sites. This information could also be used to train agents and modify procedures to improve operations. INS officials also noted that the pilot was used to measure the results of agency operations in accordance with GPRA. No data were available on the cost of these activities.

Summary: The U.S. tax system is based on voluntary reporting. The Internal Revenue Service (IRS) reviews all tax returns after they are filed to ensure compliance with tax laws governing this voluntary system. Despite these efforts, each year billions of dollars in taxes owed are not voluntarily reported and paid, which could result in reduced revenue to fund federal programs, higher tax rates, or both. There are three types of voluntary compliance measures: filing compliance, which measures the percent of taxpayers who file returns in a timely manner; payment compliance, which measures the percent of tax payments that are paid in a timely manner; and reporting compliance, which measures the percent of actual tax liability that is reported accurately on returns. This report reviews the status of IRS' plans to measure voluntary reporting compliance as well as six other federal programs that currently measure voluntary compliance. GAO found that IRS has tried to develop an approach for measuring voluntary compliance. It has established objectives and guiding principles for developing this measure as well as developed database software to collect and analyze data. As of March 2001, IRS' preliminary draft plan included four alternatives for measuring voluntary reporting compliance. GAO found that each of the six programs measure compliance by gathering different types and amounts of information from a random sample of clients. Sample sizes range from about 1,400 to more than 500,000 annually. In all but one program, clients are randomly selected and interviewed in person.