New frontiers in microsimulation modelling:
Gespeichert in:
Weitere beteiligte Personen: | |
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Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
Farnham, Surrey [u.a.]
Ashgate
2009
|
Schriftenreihe: | Public policy and social welfare
36 |
Schlagwörter: | |
Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018711522&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
Beschreibung: | Formerly CIP Uk. - Includes bibliographical references |
Umfang: | 635 S. graph. Darst., Kt. 24 cm |
ISBN: | 9780754676478 0754676471 |
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245 | 1 | 0 | |a New frontiers in microsimulation modelling |c ed. by Ashgar Zaidi ... |
264 | 1 | |a Farnham, Surrey [u.a.] |b Ashgate |c 2009 | |
300 | |a 635 S. |b graph. Darst., Kt. |c 24 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Public policy and social welfare |v 36 | |
500 | |a Formerly CIP Uk. - Includes bibliographical references | ||
520 | 1 | |a "During the past 15 years microsimulation models have become firmly established as vital tools for analysis of the distributional impact of changes in government programmes. Across Europe, the US, Canada and Australia, microsimulation models are used extensively to assess who are the winners and losers from proposed policy reforms. Encouraged by the ever-increasing complexity of social and economic programmes, microsimulation models have become an essential part of the policy reform process, allowing identification of the magnitude of gains and losses from policy changes in such areas as taxation, social security, pensions and social services." "While the analysis of the distributional impact of tax and cash transfer changes in developed countries has for some decades been the "bread and butter" of microsirnulation modelling, microsimulation is now expanding into new frontiers .These include geographic expansion (into African countries and the countries of the former Soviet Union); subject area expansion (embracing such new topics as small area analysis, health care and child care) ; and breakthroughs in the technology associated with microsimulation (such as in behavioural and labour supply modelling)." "This volume contains selected papers from the 1st General Conference of the International Microsimulation Association, hosted by the European Centre Vienna in August 2007. As well as providing a useful introduction to the state of microsimulation internationally today, it contains a wide range of chapters illustrating the new applications and approaches being used across the world."--BOOK JACKET. | |
650 | 4 | |a Mathematisches Modell | |
650 | 4 | |a Evaluation research (Social action programs) |v Congresses | |
650 | 4 | |a Social policy |x Evaluation |x Mathematical models |v Congresses | |
650 | 4 | |a Social policy |x Evaluation |x Statistical methods |v Congresses | |
650 | 4 | |a Statistical matching |v Congresses | |
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653 | |a Evaluation research (Social action programs)--Congresses. | ||
653 | |a Statistical matching--Congresses. | ||
653 | |a Social policy--Evaluation--Statistical methods--Congresses. | ||
653 | |a Social policy--Evaluation--Mathematical models--Congresses. | ||
655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
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689 | 0 | 1 | |a Sozialgeografie |0 (DE-588)4055768-6 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Zaidi, M. Asghar |d 1963- |0 (DE-588)136842720 |4 edt | |
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Datensatz im Suchindex
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adam_text |
Titel: New frontiers in microsimulation modelling
Autor: Zaidi, M. Asghar
Jahr: 2009
Contents
List of Figures and Tables.9
Preface - Orcutt's Vision 50 Years On .21
Michael Wolfson
Chapter 1
New Frontiers in Microsimulation Modelling: Introduction.31
Paul Williamson, Asghar Zaidi and Ann Harding
Part I: Spatial Modelling.51
Chapter 2
Moses: Dynamic Spatial Microsimulation
with Demographic Interactions .53
Mark Birkin, Belinda Wu and Phil Rees
Chapter 3
Small Area Poverty Estimates for
Australia's Eastern Seaboard in 2006 .79
Robert Tanton, Justine McNamara, Ann Harding and Thomas Morrison
Chapter 4
Microsimulation as a Tool in Spatial Decision Making:
Simulation of Retail Developments in a Dutch Town .97
Eveline S. van Leeuwen, Graham P. Clarke and Piet Rietveld
Chapter 5
Time and Money in Space: Estimating Household Expenditure
and Time Use at the Small Area Level in Great Britain.123
Ben Anderson, Paola de Agostini, Selma Laidoudi,
Antonia Weston and Ping Zong
New Frontiers in Microsirmilation Modelling
Part II: Work Incentives and Labour Supply.153
Chapter 6
Work Incentives, Redistribution Policies and the
Equity-Efficiency Trade Off: Evidence from Spain .155
Jose M. Labeaga, Xisco Oliver and Amedeo Spadaro
Chapter 7
Microsimulating Supply/Demand Interactions
on a Labour Market: a Prototype.185
Muriel Barlet, Didier Blanchet and Thomas Le Barbanchon
Chapter 8
Policy Swapping across Countries Using EUROMOD:
The Case of In-Work Benefits in Southern Europe.209
Francesco Figari
Chapter 9
Behavioural Microsimulation: Labour Supply and
Child Care Use Responses in Australia and Norway.231
Guyonne Kalb and Thor O. Thoresen
Part III: Demographic Issues, Social Security
and Retirement Incomes.263
Chapter 10
Fertility Decisions - Simulation in an Agent-Based Model (IFSIM).265
Elisa Baroni, Matias Eklqf, Daniel Hallberg, Thomas Lindh and Jovan tamac
Chapter 11
Projecting Pensions and Age at Retirement in France:
Some Lessons From the Destinie I Model .287
Didier Blanchet and Sylvie Le Minez
Chapter 12
Rates of Return in the Canada Pension Plan:
Sub-populations of Special Policy Interest
and Preliminary After-tax Results.307
Richard ]. Morrison
Table of Contents
Chapter 13
Simulating Employment Careers in the LifePaths Model:
Validation across Multiple Time Scales.333
Geoff T. Rowe and Kevin D. Moore
Chapter 14
Employment Transitions and Earnings Dynamics
in the SAGE Model .351
Asghar Zaidi, Maria Evandrou, Jane Falkingham,
Paul Johnson and Anne Scott
Chapter 15
Simulating Earnings in Dynamic Microsimulation Models .381
Cathal O'Donoghue, Ross H. Leach and Stephen Hynes
Chapter 16
Continuous-time Microsimulation in Longitudinal Analysis.413
Frans Willekens
Chapter 17
Welfare Effects of Alternative Financing of Social Security -
Calculations for Belgium.437
Bart Capeau, Andre Decoster, Kris De Swerdt and Kristian Orsini
Chapter 18
Shooting at Moving Targets: Short- versus Long-Term Effects
of Anti-Poverty Policies.471
Rembert R.G. De Blander and Ides Nicaise
Part IV: Macro-Micro Linkages
and Environmental Policies.499
Chapter 19
A Dynamic Analysis of Permanently Extending the
2001 and 2003 Tax Cuts: An Application of Linked
Macroeconomic and Microsimulation Models.501
Tracy L. Foertsch and Ralph A. Rector
New Frontiers in Microsimulation Modelling
Chapter 20
Linking Microsimulation and Macro-Economic Models
to Estimate the Economic Impact of Chronic Disease Prevention.527
Laurie J. Brown, Anthony Harris, Mark Picton, Line Thurecht,
Mandy Yap, Ann Harding, Peter B. Dixon and Jeff Richardson
Chapter 21
Microsimulation Meets General Equilibrium -
A New Tool for Applied Policy Analysis.557
Markus Clauss and Stefanie Schubert
Chapter 22
Higher Immigration - Empirical Analyses of
Demographic and Economic Effects for Norway.581
Nils Martin Stolen, Inger Texmon and Vibeke O. Nielsen
Chapter 23
Complying with the Kyoto Targets: An Assessment
of the Effectiveness of Energy Taxes in Italy.605
Rossella Bardazzi, Filippo Oropallo and Maria Grazia Pazienza
List of Contributors .631
List of Figures and Tables
Figures
Chapter 2
Figure 1:
Figure 2:
Figure 3:
Figure 4:
Figure 5:
Figure 6:
Figure 7:
Figure 8:
Chapter 3
Figure 1:
Figure 2:
Chapter 4
Figure 1:
Figure 2:
Figure 3:
Figure 4:
The structure of the Moses dynamic model.55
Housing preference by household size.65
The Leeds Metropolitan Area.65
Demographic profiles for Leeds: Schoolchildren.70
Demographic profiles for Leeds: Elderly.70
Population dynamics by ethnicity (metropolitan scale).71
Increase in the elderly (85+) population, 2005-2030
(neighbourhood scale).72
Increase in the proportion of the population with
poor health, 2005-2030 (neighbourhood scale).73
Population-weighted quintiles of poverty by SLA, 2006.89
Population-weighted deciles of poverty by SLA, 2006.90
The creation of a micro-population by simulation.98
Schematic map of Nunspeet and its hinterland.112
Share in total population of (a) older households
(per zip-code) with low income and that portion of them
without a car; (b) same for younger households.113
Share in total recently moved ( 5 years) households of
(a) older households; (b) same for younger households. 115
Chapter 5
Figure 1: Forecasting approach - 2006 as an example.127
Figure 2: Estimated and observed shares of expenditures
(1994-2003).130
New Frontiers in Microsimulation Modelling
Figure 3:
Figure 4:
Figure 5:
Figure 6:
Figure 7:
Figure 8:
Figure 9:
Figure 10:
Figure 11:
Figure 12:
Chapter 6 Figure 1:
Figure 2:
Figure 3:
Figure 4:
Chapter 7
Figure 1:
Observed (1994-2003) and forecast (2004-2016)
mean weekly household expenditure.132
Observed (Census 2001) vs. estimated (model)
work hours.140
Estimated mean work time in 2001
(Eastern region, minutes per day, weekdays).141
Estimated mean mass media time in 2001
(Eastern region, minutes per day, weekdays).142
Estimated total household weekly telephone expenditure
(Census 2001, EFS 2001-2) vs. total weekly BT residential
household expenditure in Ql 2003 (Eastern region
subsample, Census wards).143
Estimated change in mean weekly household spend
on fixed line telephony 2001-2016 (Eastern region).145
Estimated change in mean weekly household spend
on mobile telephony 2001-2016 (Eastern region).146
Estimated change in mean weekly household spend
on internet subscriptions 2001-2016 (Eastern region).147
Estimated change in mean household weekly expenditure
on fixed line telephony with 100% internet access in 2006 148
Estimated change in total household weekly expenditure
per ward on fixed line telephony, assuming 100%
internet access in 2006.149
Winners and losers from reform options compared
with 1999 system (whole sample).163
Social welfare variations with respect to the reference
scenario (1999). Whole sample.166
Social welfare variation of VMFT scenarios using
equivalent incomes (with respect to the reference
scenario, 1999). Whole sample.170
Social welfare variation of BIFT scenarios using
equivalent incomes (with respect to the reference
scenario, 1999). Whole sample.171
Evolution of the unemployment rate (left axis) and of
the mean wage (right axis) for non-qualified workers
in the Minimum wage increase scenario
("classical" environment).203
List of Figures and Tables
Figure 2:
Figure 3:
Figure 4:
Chapter 8
Figure 1:
Figure 2:
Evolution of the share of workers whose wage is just
above the minimum wage in the Minimum wage
increase scenario ("classical" environment).203
Evolution of the mean wage for NQ workers in the
"Unif" scenario (re-harmonization of social security
contribution rates).205
Evolution of the overall unemployment rate in the
"Unif" scenario (re-harmonization of social security
contribution rates).205
Budget constraint charts - baseline scenario. One-earner
couple with two children (9 and 7 years old).217
Distribution of average EMTRs - only IWB recipients.224
Chapter 9
Figure 1: Labour market connections for married / cohabiting men
and women, aged 20 to 45, by age of the youngest child .241
Figure 2: The distribution of observed and simulated choices,
11 states, families with children 1-5 years old.248
Figure 3: Probabilities in baseline system compared to
probabilities when maximum fees at child care
centres are set at NOK2,330.254
Figure 4: Effects on income distribution and on distribution of
weekly working hours from fee reductions, Norway.255
Figure 5: Effects on income distribution and on weekly working
hours from child care fee reductions, Australia.257
Chapter 10
Figure 1: Age at birth of first child.268
Figure 2: Share of 20-34 years old in higher education .269
Figure 3: The probability to give birth (or adopt) by student status,
and the fraction of students, by age, 2003.270
Figure 4: Graphical representation of the network groups.272
Figure 5: Simulated and actual (SCB in graph)
fertility rates by age.276
Chapter 11
Figure 1: The ambiguous impact of pension reform
on age at retirement.296
Figure 2: Projected labour force participation rates
for titie 60-64 age group, various scenarios.302
New Frontiers in Microsimulation Modelling
Chapter 12
Figure 1: Real before-tax CPP internal rates of return: ACTUCAN
actuarial model and DYNACAN by 5-year cohort.314
Figure 2: Real before-tax CPP internal rates of return: Actuarial,
DYNACAN and DYNACAN by birth-year cohort
and gender.316
Figure 3: Real before-tax CPP internal rates of return: Low earners
and all participants by 5-year cohort and gender.319
Figure 4: Real before-tax CPP internal rates of return:
Ever-married and all participants by 5-year
cohort and gender.321
Figure 5: Real before-tax CPP internal rates of return: Immigrants
and all participants by 5-year cohort and gender.322
Figure 6: Real before-tax CPP internal rates of return: Early retirees
and all participants by 5-year cohort and gender.324
Figure 7: Real before-tax CPP internal rates of return:
Ever-disabled beneficiaries and all participants
by 5-year cohort and gender.326
Figure 8: Real before / after-tax CPP internal rates of return:
DYNACAN by birth-year cohort and gender.329
Chapter 13
Figure 1: Employment transitions in LifePaths.335
Figure 2: Sub-models of the LifePaths employment module.336
Figure 3: Proportions of women who never worked for pay,
by year of birth and by education (Primary Only,
University [BA+], Other), Labour Force Survey
(LFS) data and LifePaths simulations.337
Figure 4: Average annual employment/population ratios for
women by age in 1976 and 2004. LFS data and LifePaths
simulations.340
Figure 5: Cumulative population percentage for selected weeks
worked in year 2000. Males by age in 2001 with 0, 8,16,
32,40 48 weeks worked. 2001 Census data and
LifePaths simulations.341
Figure 6: The LFS data cannot identify the stage of a career
(e.g. cumulative employment spells).342
Figure 7: Deciles of total wages accumulated over the years 1983
to 2004 (constant 2004 $). T4 (tax) data and LifePaths
simulations for men and women aged 30 in 1983.346
List of Figures and Tables
Chapter 14
Figure 1: Dynamics in the employment status.354
Figure 2: Dynamics in the type and the location of employment.355
Chapter 15
Figure 1: Earnings distribution.389
Figure 2: Models to be tested.392
Figure 3: Education and age-specific variation - Model 1.393
Figure 4: Inter-temporal and cross-section distribution - Model 1 .394
Figure 5: Inter-temporal and cross-section distribution - Model 2.397
Figure 6: Inter-temporal and cross-section distribution - Model 3. 398
Figure 7: Heteroscedasticity - variation of earnings
by explanatory variable.399
Figure 8: Inter-temporal and cross-section distribution - Model 4.402
Figure 9: Inter-temporal and cross-section distribution - Model 5 .404
Figure 10: Inter-temporal and cross-section distribution - Model 6 .405
Figure 11: Inter-temporal and cross-section distribution - Model 7 .406
Figure 12: Inter-temporal and cross-section distribution - Model 8 .408
Chapter 16
Figure 1: The exponential model (\x, = 0.2).
.422
Chapter 18
Figure 1:
Figure 2:
Figure 3:
Figure 4:
Full coverage of the guaranteed minimum income:
predicted effects on the time path of (non-)poverty.485
Activation scenario: anti-poverty effects.488
Education scenario, target group 25 y:
anti-poverty effects.490
Education scenario, target group poor 50y:
anti-poverty effects.491
Chapter 19
Figure 1: Differences between individual income tax receipts
after calibration of the Microsimulation and
Global Insight models, calendar years 2009-16.512
Figure 2: Dynamic revenue feedbacks from the extension plan,
billions of dollars, fiscal years 2007-16.522
Chapter 20
Figure 1: Change in real GDP and employment, 2006-2026.549
Figure 2: Change in real GDP, consumption and investment,
2006-2026.549
New Frontiers in Microsimulation Modelling
Figure 3:
Chapter 21
Figure 1:
Change in exports, imports and terms of trade,
2006-2026.
.550
The Combined Microsimulation-CGE-Model.576
Chapter 22
Figure 1: Alternative assumptions of age structure among
immigrants compared with the entire population
in 2008. Percent.587
Figure 2: Projections of total population under different assump-
tions about net immigration (in million inhabitants).588
Figure 3: Number of persons age 20-66 relative to number
of persons 67+.590
Figure 4: Projections of the labour force under different assump-
tions about net immigration (1000 persons).596
Figure 5: Projections of the contribution rate for pensions in the
National Insurance Scheme under different assumptions
about size of immigration and participation rates
among immigrants (in percent).597
Figure 6: Demand for labour in public services directed towards
children and education under different assumptions
about net immigration (1000 person-years).600
Figure 7: Demand for labour directed towards public health and
long-term care under different assumptions about net
immigration (1000 person-years).600
Chapter 23
Figure 1: Changes in CO2 emissions, 2000-2004.618
Tables
Chapter 2
Table 1:
Table 2:
Table 3:
Table 4:
Data inputs and dependencies for
demographic transitions.57
Data inputs and dependencies in the migration functions. 60
Analysis of movers in the British Household Panel Survey 64
Ward level diagnostics for the Doubly Constrained
Spatial Interaction Model.66
List of Figures and Tables
Chapter 3
Table 1:
Table 2:
Table 3:
Chapter 4
Table 1:
Table 2:
Table 3:
Table 4:
Table 5:
Table 6:
Table 7:
Table 8:
Table 9:
Table 10:
Table 11:
Chapter 5
Table 1:
Table 2:
Table 3:
Table 4:
Table 5:
Benchmarks used in the reweighting algorithm.84
Non-convergent SLAs.85
Decile poverty rates as a proportion of the mean
poverty rate across all SLAs modelled, 2006.91
Constraint variables included in the six different models .104
Standardized Absolute Error (SAE) of the constraint
variables income, jobs and household for simulation
models with different constraints and different datasets.lO5
SAE values for the constraint variables.107
SAE values for the control variables "number of persons"
and "number of single- and double-income households". 107
Multinomial Logit Model specifications and parameter
values for three product groups and two models.110
Spatial shopping behaviour of households (share of
purchases in four zones) according to the questionnaires,
the Nunspeet logit model and the general logit model.110
Share of total purchases bought in the four zones
per settlement (%).Ill
Share of households living 5 years or shorter
in the Nunspeet region.114
The effects of a new supermarket on the total grocery
expenditures in the four zones (in monthly expenditures
per zone).116
Changing flow of total expenditures (grocery, fun- and goal-
shopping) for scenario 1 for different possible locations. 118
Changing flow of total expenditures (grocery, fun-
and goal-shopping) for scenario 2.118
Demand system model estimation results
(t values in parenthesis).128
System goodness-of-fit measures.129
Preliminary constraint variables in decreasing order
of statistical power for the selected top-level time-use
categories.134
UK household and demographic trends
(excl. Northern Ireland), 1981-2016.137
Example time-use simulation output file (partial).138
New Frontiers in Microsimulation Modelling
Chapter 6
Table 1: Equivalent variations for each reform option (in euros). 168
Table Al: Comparison of updated 1995 ECHP
with 1998 and 1999 ECHP (in Euro).175
Table A2: Calibration of GLADHISPANIA (in billions of Euro).175
Table A3: Descriptive statistics of the variables used
in the econometric section.176
Table A4: Social Security contribution and Monthly Minimum
and Maximum Base (in Euro).177
Table A5: Tax rates schedule (in Euro).177
Table A6: Advantages and disadvantages of the reforms
based on a flat tax.178
Table A7: BIFT and VMFT: simulated scenarios (in Euro).178
Table A8: Singles transition matrixes (the reference system
is the one of 1999).179
Table A9: Couples transition matrixes (the reference system
is the one of 1999).181
Chapter 7
Table 1: Calibration results.199
Table 2: Calibration results for wage distribution.199
Table 3: Effects of the demographic shock.201
Table 4: Effects of economic policy shocks.202
Chapter 8
Table 1: Social indicators, 2003.216
Table 2: Female education attainment and labour market
participation, 2003.218
Table 3: Redistributive effects: impact on poverty.221
Table 4: Percentage variation in equivalent disposable income
byquintile.222
Table 5: Average Replacement rates.225
Chapter 9
Table 1: Estimates of income inequality and the distribution
of family transfers across incomes in 2007.243
Table 2: Classification of jobs and child care arrangements.246
Chapter 10
Table 1: The parental leave minimum benefit and the
student allowance benefit.280
List of Figures and Tables
Table 2:
Chapter 11
Table 1:
Table 2:
Table 3:
Table 4:
Chapter 12
Table 1:
Chapter 13
Table 1:
Chapter 14
Table la:
Table lb:
Table 2:
Table 3:
Table 4:
Table 5:
Table 6:
Table A.I:
Table A.2:
Table B.I:
Table D.I:
Summary for different variables under the base scenario
and the alternative scenario, average of five simulations .284
Partial list of policy questions and corresponding
developments of the model.294
Impact of the 1993 reform on average age at retirement .299
Impact of the 2003 reform on average age at retirement,
by education level.299
Impact of the 2003 reform on age at retirement depending
on labour market situation before retirement (1965-1974
cohort, private sector only).301
ACTUCAN and DYNACAN real CPP rates of return:
selected birth-year cohorts.313
Summary of variables included in seven career work
hazard equations.340
Variables included in the population database
for the labour market event.362
Derived variables used in the labour market event.363
Coding of employment history variable.364
Employment states compared.368
Earnings distribution by estimation group.369
Earnings distribution in the estimation data for 1993.370
Earnings distribution by sex and age, for 1993.370
Relative risk ratio (derived from the multinomial logit
models) of quarterly employment transitions of working
age males, originating from full-time work status.373
Relative risk ratio (derived from the multinomial logit
models) of quarterly employment transitions of working
age females, originating from full-time work status.374
Wage equation for male employees, further subdivided
between those with advanced and non-advanced
qualification.375
Parameter table for time-variant component
of the wage equation.379
New Frontiers in Microsimulation Modelling
Chapter 15
Table 1:
Table 2:
Table 3:
Chapter 16
Table 1:
Table 2:
Table 3:
Table 4:
Table 5:
Table 6:
Chapter 17
Table 1:
Table 2:
Table 3:
Table 4:
Table 5:
Table 6:
Table 7:
Table 8:
Table 9:
Table 10:
Table 11:
Chapter 18
Table 1:
Table 2:
Table 3:
Table 4:
Table 5:
Input variables used in the simulation
of employee earnings.383
Regression Estimates Ireland.411
Regression Estimates UK.412
Number of occurrences and times to transition. Random
samples of 1,000 transitions and expected values.424
State occupancies, expected values.427
State occupancies, sample values.428
Transitions, sample.429
Lifepaths during 10-year period, sample of 1,000 subjects 430
Number of new enrolments by year.432
Commodity breakdown, shares in disposable income,
and indirect tax rates for the NIS budget survey 2001.441
Effects on revenues in million Euros of 2001 of the
reform with fixed labour supply.452
Changes in disposable income, real income and
consumption based welfare gain (fixed labour supply).453
Disposable income, labour supply and age for different
orderings of gainers and losers (fixed labour supply).455
Disposable income, activity and age for different
orderings of gain and loss (fixed labour supply).458
Activity status of winners and losers (Frequency table) .459
Characteristics of active losers and winners.460
Change in labour supply by decile of disposable income.462
Welfare effects of the reform for different orderings
of gains and losses (flexible labour supply).463
Winners and losers and labour supply incentives.463
Commodity breakdown, income and price elasticities,
and share parameters of the ces utility function.468
Determinants of educational attainment.476
Likelihood ratio tests for each group of socio-economic
background dummies in Table 1.477
Determinants of employment.478
Probability of becoming poor (transitions from NP).480
Probability of staying poor (transitions from IP).481
List of Figures and Tables
Table 6:
Table 7:
Table 8:
Table 9:
Table 10:
Table 11:
Table 12:
Table 13:
Chapter 19
Table 1:
Table 2:
Table 3:
Table 4:
Chapter 20
Table 1:
Table 2:
Table 3:
Table 4:
Table 5:
Table 6:
Table 7:
Table 8:
Chapter 21
Table 1:
Table 2:
Probability of staying poor (transitions from MI).483
Steady state characteristics of the full coverage scenario.486
Steady state characteristics of the activation scenario.487
Steady state characteristics of the education scenario,
target group 25y.489
Steady state characteristics of the education scenario,
target group poor 50y.491
Net steady-state impact of policies as a fraction
of the total number of poor in the initial period.493
Descriptive statistics for the variables used in
the schooling estimation.496
Descriptive statistics for the variables used in
the employment and poverty estimations.497
Projected 2011 ordinary income tax schedules for the
pre-EGTRRA baseline and the extension plan.504
Change in federal individual income tax revenues from
current law under the extension plan, billions of dollars.514
Effects of the extension plan on average
marginal individual income tax rates.515
Macroeconomic effects of the extension plan
relative to the CBO's January 2006 baseline projections,
fiscal years 2011-16.517
Policy shocks in the MONASH CGE model.539
Growth in number of adult Australians
with type 2 diabetes.541
Direct health care costs and cost savings
($A million, 2005 constant dollars).542
Probability of employment by diabetes status.543
Employment odds ratio for diabetes.544
Marginal effect of diabetes on employment.545
Employment average marginal effect of diabetes
by age group and gender.546
Estimated gains in employed persons, 2005-2026.548
Components of the household net income.564
Transfer microsimulation - CGE model: parameters.575
New Frontiers in Microsimulation Modelling
Chapter 22
Table 1:
Table 2:
Table 3:
Table 4:
Table 5:
Table 6:
Age structure by gender for the entire population,
gross immigrants and net immigrants to Norway.
Observations from the period 1998 to 2007 (in percent).586
The number of inhabitants in different age groups in 2050
under different assumptions about net immigration;
1000 persons and relative numbers .589
Employment rates among immigrants by region of origin
and gender; 4th quarter 2007, percent of persons
15-74 years of age.592
Employed immigrants by region of origin and age;
4th quarter 2007 (in percent).593
Employed immigrants by region of origin and period of
residence; 4th quarter 2007, percent of persons 15-74 years
of age.594
The number of old age pensioners and disability pensioners
in 2050 under different assumptions about the size of net
immigration (1000 persons).597
Chapter 23
Table 1:
Table 2:
Table 3:
Table 4:
Table 5:
Table 6:
Table 7:
Table A.I:
Table A.2:
Table A.3:
Table A.4:
Italian Carbon Tax: main tax rates as provided by law.610
Carbon tax effects on sectoral profitability: ex ante micro-
simulation analysis on 2000 dataset comparing 2000
and proposed 2005 tax rates.611
Firms' distribution by sector and size (2004).614
Sectoral shares of energy consumption by product
and energy intensity (2004).616
Energy prices by products for manufacturing firms,
year 2004 (average=100).616
Results for CO2 emission variations (linear regression
with robust variance estimates).619
Estimates of own-price and energy tax elasticities.622
Fixed effects model- demand of diesel.626
Fixed effects model - demand of natural gas.627
Fixed effects model - demand of fuel oil.628
Fixed effects model - demand of electricity.629 |
any_adam_object | 1 |
author2 | Zaidi, M. Asghar 1963- |
author2_role | edt |
author2_variant | m a z ma maz |
author_GND | (DE-588)136842720 |
author_facet | Zaidi, M. Asghar 1963- |
building | Verbundindex |
bvnumber | BV035853522 |
callnumber-first | H - Social Science |
callnumber-label | H62 |
callnumber-raw | H62 |
callnumber-search | H62 |
callnumber-sort | H 262 |
callnumber-subject | H - Social Science |
classification_rvk | RB 10103 QH 444 |
ctrlnum | (OCoLC)377792502 (DE-599)HBZHT016108145 |
dewey-full | 361.61072 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 361 - Social problems and services |
dewey-raw | 361.61072 |
dewey-search | 361.61072 |
dewey-sort | 3361.61072 |
dewey-tens | 360 - Social problems and services; associations |
discipline | Soziologie Wirtschaftswissenschaften Geographie |
format | Book |
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genre | (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift |
id | DE-604.BV035853522 |
illustrated | Illustrated |
indexdate | 2025-01-11T14:31:58Z |
institution | BVB |
isbn | 9780754676478 0754676471 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018711522 |
oclc_num | 377792502 |
open_access_boolean | |
owner | DE-20 |
owner_facet | DE-20 |
physical | 635 S. graph. Darst., Kt. 24 cm |
publishDate | 2009 |
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publisher | Ashgate |
record_format | marc |
series | Public policy and social welfare |
series2 | Public policy and social welfare |
spelling | New frontiers in microsimulation modelling ed. by Ashgar Zaidi ... Farnham, Surrey [u.a.] Ashgate 2009 635 S. graph. Darst., Kt. 24 cm txt rdacontent n rdamedia nc rdacarrier Public policy and social welfare 36 Formerly CIP Uk. - Includes bibliographical references "During the past 15 years microsimulation models have become firmly established as vital tools for analysis of the distributional impact of changes in government programmes. Across Europe, the US, Canada and Australia, microsimulation models are used extensively to assess who are the winners and losers from proposed policy reforms. Encouraged by the ever-increasing complexity of social and economic programmes, microsimulation models have become an essential part of the policy reform process, allowing identification of the magnitude of gains and losses from policy changes in such areas as taxation, social security, pensions and social services." "While the analysis of the distributional impact of tax and cash transfer changes in developed countries has for some decades been the "bread and butter" of microsirnulation modelling, microsimulation is now expanding into new frontiers .These include geographic expansion (into African countries and the countries of the former Soviet Union); subject area expansion (embracing such new topics as small area analysis, health care and child care) ; and breakthroughs in the technology associated with microsimulation (such as in behavioural and labour supply modelling)." "This volume contains selected papers from the 1st General Conference of the International Microsimulation Association, hosted by the European Centre Vienna in August 2007. As well as providing a useful introduction to the state of microsimulation internationally today, it contains a wide range of chapters illustrating the new applications and approaches being used across the world."--BOOK JACKET. Mathematisches Modell Evaluation research (Social action programs) Congresses Social policy Evaluation Mathematical models Congresses Social policy Evaluation Statistical methods Congresses Statistical matching Congresses Sozialgeografie (DE-588)4055768-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Evaluation research (Social action programs)--Congresses. Statistical matching--Congresses. Social policy--Evaluation--Statistical methods--Congresses. Social policy--Evaluation--Mathematical models--Congresses. (DE-588)1071861417 Konferenzschrift gnd-content Statistik (DE-588)4056995-0 s Sozialgeografie (DE-588)4055768-6 s DE-604 Zaidi, M. Asghar 1963- (DE-588)136842720 edt Public policy and social welfare 36 (DE-604)BV024714605 36 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018711522&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | New frontiers in microsimulation modelling Public policy and social welfare Mathematisches Modell Evaluation research (Social action programs) Congresses Social policy Evaluation Mathematical models Congresses Social policy Evaluation Statistical methods Congresses Statistical matching Congresses Sozialgeografie (DE-588)4055768-6 gnd Statistik (DE-588)4056995-0 gnd |
subject_GND | (DE-588)4055768-6 (DE-588)4056995-0 (DE-588)1071861417 |
title | New frontiers in microsimulation modelling |
title_auth | New frontiers in microsimulation modelling |
title_exact_search | New frontiers in microsimulation modelling |
title_full | New frontiers in microsimulation modelling ed. by Ashgar Zaidi ... |
title_fullStr | New frontiers in microsimulation modelling ed. by Ashgar Zaidi ... |
title_full_unstemmed | New frontiers in microsimulation modelling ed. by Ashgar Zaidi ... |
title_short | New frontiers in microsimulation modelling |
title_sort | new frontiers in microsimulation modelling |
topic | Mathematisches Modell Evaluation research (Social action programs) Congresses Social policy Evaluation Mathematical models Congresses Social policy Evaluation Statistical methods Congresses Statistical matching Congresses Sozialgeografie (DE-588)4055768-6 gnd Statistik (DE-588)4056995-0 gnd |
topic_facet | Mathematisches Modell Evaluation research (Social action programs) Congresses Social policy Evaluation Mathematical models Congresses Social policy Evaluation Statistical methods Congresses Statistical matching Congresses Sozialgeografie Statistik Konferenzschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018711522&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV024714605 |
work_keys_str_mv | AT zaidimasghar newfrontiersinmicrosimulationmodelling |