A Microsimulation Approach to an Optimal Swedish Income Tax

This paper follows the theory of optimal taxation and the goal is to identify a tax/benefit design that maximizes social welfare. A two stage process is proposed where the individuals preferred choice of leisure and consumption is solved in the first stage, and the second stage identifies the tax/benefit system that maximize the social welfare function. Our study deviates from the mainstream literature as the first stage is based on a static micro simulation model with behavioral responses. The behavioral responses take two different forms and use two different types of models; first binary models that describe mobility in/out from non-work states such as old age pension, disability, unemployment, long term sickness, and second models that describe change in working hours and welfare participation. Compared to the current Swedish income tax, our results suggest that increased basic deduction and in-work tax credit in combination with a reduction of the progressive national taxes would increase welfare. We also find strong support for increased housing allowances. The reforms are financed by a tax based on the same tax base as the proportional municipal income tax.micro simulation, tax-benefit system, in-work tax credit reform, optimal taxation

Evaluation of an In-Work Tax Credit Reform in Sweden: Effects on Labor Supply and Welfare Participation of Single Mothers

The purpose of this paper is to evaluate a recent Swedish in-work tax credit reform where we pay particular attention to labor market exclusion; i.e. individuals in as well as outside the labor force are included in the analysis. To highlight the importance of the joint effects from the tax and the benefit systems it appears particular relevant to analyze the labor supply behavior of single mothers. To this end, we estimate a structural microeconometric model of labor supply and welfare participation. The model accounts for heterogeneity in consumption-leisure preferences as well as for constraints in job opportunities. The results of the evaluation show that the reform generates welfare-gains for virtually every single mother, and moreover benefits low-income households. Finally, due to increased labor supply and decline in welfare participation we find that this reform is almost self-financing.labor supply, single mothers, in-work tax credit, social assistance, random utility model

Taxes, Wages and Working Hours

This paper presents estimates of individuals' responses in hourly wages to changes in marginal tax rates. Estimates based on register panel data of Swedish households covering the period 1992 to 2007 produce significant but relatively small net-of-tax rate elasticities. The results vary with family type, with the largest elasticities obtained for single males and the smallest for married/cohabitant females. Despite these seemingly small elasticities, evaluation of the effects of a reduced state tax using a microsimulation model shows that the effort effect matters. The largest effect is due to changes in number of working hours yet including the effort effect results in an almost self-financed reform. As a reference to the earlier literature we also estimate taxable income elasticities. As expected, these are larger than for the hourly wage rates. However, both specifications produce significantly and positive income effects.income taxation, hourly wage rates, work effort, micro simulation

SWEtaxben: A Swedish Tax/Benefit Micro Simulation Model and an Evaluation of a Swedish Tax Reform

The purpose of SWEtaxben is to evaluate the impact of changes in the tax/benefit systems on households as well as the central governmental budget. Relating to the micro simulation literature this model can be labeled a static micro simulation model with behavioral changes. This behavioral change takes two different forms and use two different types of models; first binary models that describe mobility in/out from non-work states such as old age pension, disability, unemployment, long term sickness and second models that describe change in working hours and welfare participation. Thus, apart from the choice to work or not to work, working hours conditional on working as well as welfare participation are treated as endogenous variables. As an application the model is used to evaluate the recent Swedish "make work pay" reform, effective from 2007 and further reinforced in 2008 and 2009. The key characteristic of this reform is an in-work tax credit and decreased state tax rate. Simulations performed by SWEtaxben show increased working hours at both the intensive as well as extensive margin. The tax decrease together with dynamic changes results in a strong increase in household's incomes but also a reduction in income inequality. However, even considering the increase in hours of work, the reform is far from being self-financed.micro simulation, tax-benefit system, in-work tax credit reform

Benchmarking implementations of functional languages with ‘Pseudoknot', a float-intensive benchmark

Over 25 implementations of different functional languages are benchmarked using the same program, a floating-point intensive application taken from molecular biology. The principal aspects studied are compile time and execution time for the various implementations that were benchmarked. An important consideration is how the program can be modified and tuned to obtain maximal performance on each language implementation. With few exceptions, the compilers take a significant amount of time to compile this program, though most compilers were faster than the then current GNU C compiler (GCC version 2.5.8). Compilers that generate C or Lisp are often slower than those that generate native code directly: the cost of compiling the intermediate form is normally a large fraction of the total compilation time. There is no clear distinction between the runtime performance of eager and lazy implementations when appropriate annotations are used: lazy implementations have clearly come of age when it comes to implementing largely strict applications, such as the Pseudoknot program. The speed of C can be approached by some implementations, but to achieve this performance, special measures such as strictness annotations are required by non-strict implementations. The benchmark results have to be interpreted with care. Firstly, a benchmark based on a single program cannot cover a wide spectrum of ‘typical' applications. Secondly, the compilers vary in the kind and level of optimisations offered, so the effort required to obtain an optimal version of the program is similarly varie

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

The Structure of the Tax-system and the Estimation of Labor Supply Models

Using a repeated cross section for married prime age Swedish males for the years 1984, 1986 and 1988 produce drastically different labor supply elasticities. From 1984 to 1988 the Swedish tax system has reduced both tax levels and degree of progressivity, the numbers of kink-points have dropped from 18 to only 3. The numbers of individuals close to or at a kink point have a large influence on the estimated parameters, more individuals close to a kink imply larger estimated incentive effects. More kinks in the tax system imply a higher probability of finding individuals close to a kink

U.S. versus Sweden: The Effect of Alternative In-Work Tax Credit Policies on Labour Supply of Single Mothers

An essential difference between the design of the Swedish and the US in-work tax credit systems relates to their functional forms. Where the US earned income tax credit (EITC) is phased out and favours low and medium earnings, the Swedish system is not phased out and offers 17 and 7 per cent tax credit for low and medium low incomes and a lump-sum tax deduction equal to approximately 2300 USD for medium and higher incomes. The purpose of this paper is to evaluate the efficiency and distributional effects of these two alternative tax credit designs. We pay particular attention to labour market exclusion; i.e. individuals within as well as outside the labour force are included in the analysis. To highlight the importance of the joint effects from the tax and the benefit systems it appears particular relevant to analyse the labour supply behaviour of single mothers. To this end, we estimate a structural random utility model of labour supply and welfare participation. The model accounts for heterogeneity in consumption-leisure preferences as well as for heterogeneity and constraints in job opportunities. The results of the evaluation show that the Swedish system without phase-out generates substantial larger labour supply responses than the US version of the tax credit. Due to increased labour supply and decline in welfare participation we find that the Swedish reform is self-financing for single mothers, whereas a 10 per cent deficit follows from the adapted EITC version used in this study. However, where income inequality rises modestly under the Swedish tax credit system, the US version with phase-out leads to a significant reduction in the income inequality.JEL Classification: J22; I3