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Biographical Sketches of Panel Members and Staff
Pages 331-346

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From page 331...
... His primary academic interests have involved applied public finance and public policy analysis with special reference to schooling and aspects of income determination. He received a B.S.
From page 332...
... She has held many professional offices, including president of the Biometric Society, Eastem North American Region, and associate editor and associate book editor for the Journal of the American Statistical Association. She is currently a member of the International Council of the Biometric Society and the Council of the International Statistical Institute.
From page 333...
... His prior positions include senior fellow at the Brookings Institution, senior public finance resident at the Advisory Commission on Intergovernmental Relations, and director of the Office of Tax Analysis of the U.S. Department of the Treasury.
From page 334...
... His major research interest involves income transfers, especially modeling of the interactions among transfer programs; his recent work has focused substantively on areas of child support, tax rebates, and mamage policy. Other research interests include organizational design, organizational management, and individual decision making.
From page 335...
... Before working with the panel, she was associate analyst with the Human Resources and Community Development Division of the Congressional Budget Office, where she worked with microsimulation models on food stamp and Aid to Families with Dependent Children program policy. She received a B.A.
From page 337...
... , 97, 107, 11~111, 112, 113, 114, 119, 137, 142, 161, 166, 185, 186, 187, 19~200, 201, 209, 221, 233, 274, 278 BAFPLAN model, 108 Baseline simulation, 105, 107, 124, 163, 291-298 (§assim) TRIM2, 107, 124, 256 see also Eligibility data and modeling Basic research, 13, 38, 107-108, 281-283 Behavioral research, 17-18, 164-165, 176, 177, 181, 201-203, 217-219, 276, 282, 283-289 Behavioral response, 17, 41, 5~51, 120, 282-289, 303 AFDC, 170, 176 cost factors, models, 175, 181 design for, 153, 154, 155, 156, 163, 164, 170-181 DYNASTIC, 170, 171, 179 health care policy, 201-203, 209, 211 individual, 17, 48 MATH, 170, 171, 172, 174-175 model descriptions, specific, 216, 290 298 (passim)
From page 338...
... Control files, 136-137 see also Matching CORSIM, 186 Cost factors, 24, 25, 56, 63-64, 76, 81, 105, 211, 213, 232, 285 AFDC, 21, 22, 23, 45, 47, 168, 233, 234, 245, 248, 250 aging of data, 17, 18, 49, 105, 154, 170, 237 behavioral response modeling, 175, 181 computing technology, 10, 18, 45~6, 121, 148, 163, 164, 182, 183, 184, 186, 188, 189, 191, 193, 284, 285 cost-effectiveness, 1, 2, 10, 26, 54, 110, 117-118, 148, 160, 181, 189, 192, 193, 196 197, 211, 215, 259, 260, 261, 265, 275, 279 health care financing, 53, 61, 111, 195-212 historical perspectives, 1, 37-38, 53, 182 matching files, CPS-SSA, 7-8, 67, 136 model design, 9, 11, 54, 153, 154, 155, 156, 160, 175, 181, 208
From page 339...
... documentation and archiving, 12, 14, 19-20, 85-86 339 errors in, 78-79, 90-91, 119-120 evaluation, 15, 137 health care financing, 203-207 individual descriptions, 298-302 Integrated Quality Control System, 15, 43, 46, 131-132, 141, 142, 250, 253-255, 257, 299-3Q0 models, specific descriptions. 290-298 retirement income, 216-217 Survey of Income and Program Participation, 123, 137-152 tax policy, 223-226 see also Matching Data collection, 7, 13-14, 63-65, 70, 141, 209, 211 see also Questionnaires; Surveys and survey data Data quality, 3, 5-8, 13-14, 26-27, 55-72, 119-120, 123-152, 256 census statistics, 125-132, 139-152 existing data, value added, general 69-72, 210, 277 health care financing, 203-208 input errors, 79, 90, 91 omissions, 131-137 quality profiles, 19, 51, 92, 140, 263-264 Decennial census, errors, 71-72, 86 Demography, see Population factors Department of Agriculture, 2, 22, 25, 36, 97, 110 see also Food and Nutrition Service Department of Health, Education, and Welfare, 35-36 Department of Health and Human Services, 2, 13, 18, 22, 37, 97, 110, 201, 208, 209, 210, 211, 212, 274 see also specific agencies Department of Labor, 111, 112, 198 Deparunent of the Treasury, 3, 23, 35, 109, 110, 179, 220, 229 Office of Tax Analysis, 98, 110, 136, 220, 223-226, 274, 296 Treasury Individual Income Tax Simulation Model, 296-297 see also Intemal Revenue Service Design and development, models, 11, 16-18, 153-181 aging of data, 154, 163, 164 170 behavioral response, 153, 154, 155, 156, 163, 164, 170-181 canputing technology and, 156, 158, 159, 191 cost factors, 9, 11, 54, 153, 154, 155, 156, 160, 175, lgl, 208
From page 340...
... , 37, 98, 112, 123-124, 161, 169, 198, 213-218, 29~291 behavioral response, 170, 171, 179 computing requirements, 182, 183-184, 185, 186, 192 history, 111-112, 183-184, 214, 245-246 DYNASIM, see Dynamic Simulation of Income Model Econometric models, general, 17, 35, 53, 92, 176 Econcenic factors INDEX budget deficit, federal, 25, 37, 60, 61, 80, 163 statistical concepts and methods, changing, 58 see also Cost factors; Funding Economic indicators, see C3PI; GNP Elderly persons, 196, 201, 205 see also Medicare; Retirement income .
From page 341...
... , 98, 113-114, 136, 268, 291-292 Humanmompllter interface, see User accessibility Hungary, 109 Imputations, 90, 95, 124, 133-136, 145, 146, 149, 174, 204, 249 model descriptions, specific, 291-298 (passim) tax policy models, 221, 223, 225, 226~227, 228, 229-230, 306 see also Matching Income and income support models, 2, 61, 98, 109, 148, 274 CPS, 145, 146, 151, 174 HITSM, 98, 113-114, 136, 268, 291-292 ISDP, 132-133, 137 MRPIS, 98, 113, 161-162, 179, 180, 293-294
From page 342...
... model, 47~8, 111, 161, 170, 171 Laws, specific federal Budget Act, 22, 36 Family Support Act, 3, 6, 21-22, 31, 41-51, 77, 176, 187, 195, 234, 261, 279 INDEX Food Stamp Reform Act, 36, 110 Glanun-Rudman-Hollings Act, 37-38, 163, 219 Jdo Training Partnership Act, 30 Medicare Catastrophic Coverage Act, 6, 206 207, 225 Omnibus Budget Reconciliation Act, 42 Paperwork Reduction Act, 63 Privacy Act, 66 Social Security Act, 112 Tax Reform Act, 3, 23, 24, 66, 113, 176, 221, 225, 226, 229 LewinlICF, Inc., 11~113, 124, 200, 205, 213, 291, 294, 295 Linkages, 65, 157, 159, 216-217 administrative/survey data, 62, 66-69, 129, 131-133, 137, 141-147 Classic, 149, 151, 169, 216-217, 277; see also Matching interagency coordination, 6-7, 10, 1~13, 37, 62-63, 146, 149-150, 209, 210, 212, 274-277; see also Matching of models, 16, 53, 112, 157, 159, 131, 190, 199 Longitudinal data, a, 76, 147, 197, 291 CPS/SIPP, 15, 131, 145, 146, 147 Long-term approaches, 14~148 Long-term care, 202, 204, 209, 295-296 Long-Term Care Financing Model, 20~205, 209, 295-296 Loss functions, 24~241 Macroeconomic-Demographic Model, 200, 213, 215 Macroeconomic models, 2, 22, 31, 35, 49, 52, 56, 95-96, 109, 116, 178, 200, 213, 215, 238, 307 linkage with microsimulation models, 53, 112, 199 validation, 74-75, 76 Matching, files, 149, 163, 307-308 CPS-IRS, 67-6S, 104, 110, 124, 134, 220, 224, 22~227, 228, 299, 307 CPS-SIPP, 144, 145, 146, 147, 228 CPS-SSA, 7-8, 18, 67, 104, 123-124, 134-135, 136, 216-217, 245, 277, 299 exact, 7, 18, 67-68, 104, 134-135, 216-217, 228-229, 308 IRS-SIPP-CPS, 228 SIPP-SSA, 217 statistical 104, 110, 127, 133, 135-136, 204, 222, 228, 307-308 MATH, see Miao Analysis of Transfers to Households Mathematica Policy Research, Inc., 110, 292 Medicaid, 65, 196, 199, 201, 202-203, 205 TRIM2, 198, 204, 207
From page 343...
... , 98, 113, 161-162, 179, 180, 293-294 National Ambulatory Medical Care Survey, 61 National Bureau of Economic Research, 222 National Center for Health Statistics, 59, 69, 201, 208, 210 National Health Insurance Experiment, 202 National Health Interview Survey, 60, 64, 206, 210 National Health and Nutrition Examination Sunrey, 60, 61, 129 National Income and Product Accounts, 61, 129 National Institute on Aging, 200, 201, 213, 219, 275 National Longitudinal Surveys of Labor Market Experience, 60, 285 National Long-Term Care Channeling Demonstration, 202 National Medical Care Expenditure Survey, 205, 206, 208, 211, 300-301 343 National Medical Care Utilization and Expenditure Survey, 113, 205, 206, 208, 211, 300 301 National Medical Expenditure Survey, 205, 206, 208, 211, 30~301 National Nursing Home Survey, 61, 205, 211 National Science Foundation, 286-287 Near-te~m approaches, 12, 38, 54, 143-146, 27~7 Naq~alametric techniques, 91 Nonresponse, householdipersonhtem see hnputatians; Response rates Office of Management and Budget (OMB) , 37, 38, 49, 62, 63, 83, 137 Office of Tax Analysis, 98, 110, 136, 220, 223-226, 274, 296 Omnibus Budget Reconciliation Act, 42 Orcutt, Guy, 36, 109, 283-284, 287, 289 Organizational factors, 12-13, 62-63 interagency coordination, ~7, 10, 12-13, 37, 62-63, 146, 149-150, 209, 210, 212, 274-277; see also Matching microsimulation modeling community structure, 1~13, 20, 121-122, 273-289 validation of models, 260 263 Organization for Economic Cooperation and Development, 109, 193 Panel Study of Income Dynamics, 174, 218, 285 Panel techniques, general, 64, 144, 146, 147, 174, 219 Paperwadc Reduction Act, 63 Parameterization, 107, 156, 185 behavioral, 17-18, 75-76, 107, 163, 173-174, ITS, 180, 211, 218, 229, 282 policy-related, 74, 75, 1()
From page 344...
... , 110 Social Policy Simulation Database/Model (SPSD~I)
From page 345...
... Social Welfare Research Institute, 293 SOCSIM, 286-287 Software, general, 186, 188, 189, 190, 193 CASE, 11, 190 documentation of, 12, 14, 17, 19, 85-86, 267-269, 270-271 graphical interfaces, 121, 189, 190, 193 MS-DOS, 186, 188 see also Documentation and archiving; Models; specific models SPSD/M, see Social Policy Simulation Database/Model Standards, 4, 158, 159-160 AFDC minimum benefit, 3, 24, 74, 257 design and development, 16-17, 193, 276 documentation, 12, 14, 19, 266-271 State-level factors, 48, 44, 46, 49-50, 83-84, 86, 142, 146, 196, 234 Static models, general, 18, 108, 109-111, 123, 162, 192, 308 aging of data, 49, 105, 163, 164, 165~167, 169, 170, 198-199 214-215, 221, 225-226, 228, 249-250, 292, 293, 298, 302-303 see also specific models Statistical agencies, general coordination with policy analysis agencies, 7, 70-71, 276-277 data quality, 69-72, 124 funding, 6, 37, 56-59, 61-60 historical perspective, 8, 57-62 interagency coordination, 6-7, 10, 12-13, 37, 62-63, 146, 149-150, 209, 210, 212, 274-277; see also Matching social welfare, 59, 57-62 see also specific agencies Statistical matching, 104, 110, 127, 133, 135-136, 204, 222, 307-308 345 Statistics Canada, 108, 136, 150, 186, 187-188 Statistics of Income, 15, 104, 124, 136, 141, 221, 222, 228, 274, 301 matching files, 67~8, 104, 110, 124, 134, 220, 224, 226-227, 228, 299, 307 STATS, see Simulated Tax and Transfer System Stochastic processes, 197 "Sunset" provision, 17, 160 Supplemental Security Income, 56, 110 Survey of Consumer Finances, 205 Survey of Economic Opportunity, 220 Survey of Family Growth, 61 Survey of Income and Education, 198, 200 Survey of Income and Program Participation (SIPP) , 11, 15-16, 58, 60, 64, 65, 68, 70, 71, 113, 120, 123, 125, 132-133, 137-152 (passim)
From page 346...
... , 2, 24, 45, 46, 47, 28, 50, 98, 104, 133, 136, 162, 187-lS8, 198, 222, 268, 297-298 aging of data, 49, 107, 163, 166-168, 169, 170, 233 baseline simulation, 107, 124, 256 behavioral response, 170, 171, 172 computing technology, 185, 186, 187-189, 191-192 history, 110-111, 112, 113, 114, 162, 182, 184-185, 221 Medicaid, 198, 204, 207 sensitivity analysis, 99, 233 validation, 3, 78, 99, 233-239, 246-247, 248-259 Treasury Individual Income Tax Simulation Model, 296-297 TRIM2, see Transfer Income Model 2 Uncertainty, 3, 4, 5, 14, 15, 55, 85, 118-119, 215 behavioral parameters, 17-18, 75-76, 107, 173, 177, 180, 211, 282 confidence intervals, 79-80, 86, 87, 88, 92, 93-96, 244 information on, general, 81-84, 86-87, 8~88 macroeconomic models, 74-75 policy parameters, 74, 75, 107 quality profiles, 19, 51, 92, 140, 141, 263-264 social welfare policy models, 72-96 (passim) see also Errors and error analysis Unemployment, see Employment and unemployment United Kingdom, 193 UNIX, 188 Urban Institute, 110, 111, 112, 183, 184, 290, 297, 248, 259 User accessibility, 14, 16, 18, 158, 159, 279-280 INDEX computing innovations, 121, 148, 164, 183, 188, 189, 190, 193 confidentiality and, 66-69, 135, 207, 216, 227, 228 documentation, 266, 267, 269, 270 graphical interface, 121, 189, 190, 193 Utility issues, 2, 13, 25, 26, 5~55, 145, 279 Validation and evaluation, 2, 3-5, 6, 10, 12, 1~15, 19,25,27,51, 55, T7, 98, 119, 137, 139-152, 192, 209, 215, 229, 231-264 computing technology, 18, 19~193 costs, 259, 260, 261 design and, 16, 157, 158, 159-160 documentation and, 85, 157, 158, 266, 270, 271 extemal, 5, 12, 19, 77-78, 82, 87-88, 94-95, 99, 233, 235-236, 238, 246, 262-263, 271, 279-280 historical perspectives, 241-259 information concerning, 81-84, 86-87, 86-88 internal 78~0, 85 loss functions, 24~241 macroeconomic models, 74-75, 76 organizational factors, 260-263 quality profiles, 19, 51, 92, 140, 141, 263-264 research, 20, 241-263, 276, 282, 285-286 sensitivity analysis, 12, 18, 73, 78, 79-80, 82, 83, 91-92, 93, 94, 99, 157, 158, 177, 192, 215, 218, 228, 229, 233, 235, 237-239, 242, 246, 248-261 social welfare policy models, 7~84, 86 88 "sunset" provision, 17, 160 surveys, general 13, 14~141 ~2, 3, 78, 99, 233-234, 237-238, 24~247, 24~259 see also Data quality, Errors and error analysis; Uncertainty; Variance estimation Variance estimation, 18, 91, 92, 192, 239-240, 261-262 reuse techniques, 12, 91, 93, 157, 158, 239-240 Weighting, 50, 124, 129, 136, 151, 308-309 sample, 138, 144, 147, 151 see also Data aging Wisconsin, 86 Wodcstations, 188, 189, 190, 191 Wohgeldmodell, 108 Zermbased reviews, see "Sunset" provision


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