Labour Supply

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: The impact of in-work conditionality of Universal Credit on benefit take-up and employment

Universal Credit (UC) is the main means-tested benefit in the UK welfare system, supporting low-income individuals and families. UC replaced multiple benefits with a single payment, while introducing strict job search requirements and in-work conditionality. Individuals who are not working and are deemed capable of work are usually required, among other things, to actively look for a job, while claimants who are working but earning below a threshold are required to take steps to increase their earnings, including looking for alternative jobs and increasing work hours. Failure to comply can result in benefit sanctions. Research shows that UC conditionality can have detrimental effects on individual well-being and mental health, while evidence of its employment effects is mixed. In this study, we jointly model the take-up behaviour and labour supply decisions through the lens of a structural random utility model. Individuals anticipate that receiving UC negatively affects their well-being, and job search requirements may reduce the utility they derive from income and leisure. As a result, they might choose not to take up UC even if they are eligible and modify their labour supply accordingly. In this paper, we compare baseline simulations with estimated parameters with counterfactual simulations where the effects of conditionality are muted/removed. This allows us to quantify the impact of conditionality on a number of outcomes of interest, including benefit take-up and employment.

Bimic+: microsimulation with labor supply

This paper introduces BIMic+, the labor supply extension of the tax and benefit microsimulation model of the Bank of Italy, BIMic (Curci, Savegnago and Cioffi, 2017). The model follows the Random Utility approach (McFadden, 1974; Aaberge, Dagsvik, and StrØm,1995; Van Soest, 1995). The model focuses on the labor supply behavior of wage earners and imputes wages for workers who are not employed through a two-step Heckman estimation procedure. The utility function departs from the quadratic functional form, which is common in this literature, to avoid decreasing utility in disposable income, a violation of a critical assumption in consumer theory and that underlies all redistributive analyses and is crucial for computing equivalent variations. The main arguments of the utility function are hours and disposable income. The latter is calculated through the static module, BIMic, for each counterfactual hours option. With respect to the literature, we innovate by: (i) matching the observed distribution of hours as a constraint into the optimization problem to avoid overfitting issues (as opposed to the usual approach of drawing taste shocks until the estimated hours match the observed ones). We do so in a way that also matches the distribution of labor income from aggregated tax returns. (ii) organizing the output of the model according to a strand of the public finance literature theoretically connected to optimal taxation. For each policy, we want to characterize the willingness to pay of beneficiaries and the net government cost, taking into account behavioral responses to the policy. We also propose to use these quantities to compute the marginal value of spending public funds in such a policy (Hendren and Sprung-Keyser, 2020; Bourguignon and Landais, 2022). In the last section of our paper, we simulate the labor supply effects of a policy reform as an illustration of how to use our model and its output; specifically, we focus on a cut in social security contribution for mothers with at least two children introduced in Italy in 2024.

Continuous-Time Labour Activity Transitions in Comparative Microsimulation: Alignment, Validation, and Benchmarking

We present a continuous-time longitudinal microsimulation module for labour activity careers in microWELT, a comparative microsimulation model for socio-demographic projections and policy scenario analysis. Individual careers evolve through transitions among employment, unemployment, non-participation, retirement, and family-related leave using an event-driven waiting-time approach. Transition processes are modelled with piecewise-constant hazard regressions featuring competing risks and explicit duration dependence, enabling realistic spell dynamics - especially for unemployment - that are often difficult to reproduce in discrete-time transition models. A central design feature is alignment to scenario targets for aggregate unemployment and labour force participation. Because microWELT, like most policy microsimulations, do not model market mechanisms, these targets provide macro-level closure for projections and a transparent instrument for counterfactual scenario design. Estimating transition hazards in microWELT is challenging because the underlying comparative survey data typically have limited longitudinal depth and small effective sample sizes, implying higher parameter uncertainty than administrative-history models such as Austria’s microDEMS. To address this, we adapt the microDEMS hazard-based framework and implement two alignment mechanisms. First, simulated aggregates are calibrated to scenario targets for overall unemployment and participation. Second, an optional but pivotal mechanism for microWELT constructs group-specific targets using cross-sectional imputation models defined by categorical characteristics (age group, gender, education, health, and family status). These group targets are reconciled with aggregate constraints via monthly calibration of the cross-sectional model during the simulation. Operationally, alignment exploits simulated waiting times for selected transitions - entries into unemployment and exits from the labour force - to rank individuals by implied event timing and then induces the required number of events by selecting those with the shortest waiting times to meet target margins. All other transitions remain fully continuous-time; only alignment-induced events are implemented on monthly steps to enforce cross-sectional constraints. We evaluate the framework through benchmarking and retrospective validation, comparing careers generated from hazards estimated on administrative versus survey data and assessing fit to recent observed outcomes. Validation focuses on the distribution of unemployment spell durations and heterogeneity in unemployment risk across population groups, quantifying how alignment delivers target consistency while preserving plausible continuous-time dynamics and empirically observed group differences.

Estimation and Simulation of RURO Labor Supply Models with Administrative Data: Re-assessing the Evidence from Belgium

This paper estimates a Random Utility Random Opportunity model of labor supply using linked Belgian administrative data . The framework allows individuals to choose among stochastic wage and hours offers, capturing both participation decisions and hours adjustments within a unified structure. By combining tax records, social security data, and demographic registers, we construct precise measures of earnings, hours, and household characteristics.

Evaluating Labour Supply Responses to an In-Work Benefit for Spain

Spain records one of the highest rates of in-work poverty in the European Union (Eurostat, 2024). Despite this, the development of policies specifically targeted at supporting low-income workers has been limited, especially when compared to other European countries (Laun, 2019). This policy gap, combined with the expansion of minimum income guarantees schemes, may weaken work incentives by narrowing the income gap between employment and nonemployment, thereby increasing the risk of poverty traps among low-income households (Domínguez-Olabide & Zalakain, 2023).

Increasing the minimum wage to decrease labor cost ? An analysis by microsimulation for the case of France

This paper analyzes the reduction in total labor costs induced by an increase in the minimum wage in France. Using the Ines microsimulation model developed by the French National Statistical Institute (Insee), I simulate a 2% increase in wages for all workers paid at the minimum wage. Due to the complex of exemptions of the French socio-fiscal system, an increase in the minimum wage leads to a reduction in employers’ social security contributions (SSCs) for workers earning between 1.01 and 3.5 times the minimum wage. I confirm existing results from L’horty (2000): overall, a 1% increase in the minimum wage reduces employers’ SSCs by approximately €1.67 billion.

Integrating Labor Demand Frictions in a Random Utility Random Opportunity Labor Supply Model

This paper studies labor market responses to tax policy using a structural labor supply model estimated within a Random Utility - Random Opportunity framework. The RURO model represents labor supply as a choice among a finite set of work options, where individuals compare the utility of different employment and hours combinations given the opportunities available to them. Preferences are modeled in a random utility framework, while heterogeneity in job availability and constraints is captured through the opportunity structure. This allows the model to account for both choice behavior and limitations in feasible options. We combine this structural labor supply framework with a detailed microsimulation model based on Belgian administrative data, allowing for an accurate mapping from labor supply choices to disposable income and fiscal outcomes.

Introducing Retirees into Discrete Labor Choice Models - the Case of Germany

Demographic change poses profound challenges to labor markets across advanced economies. Population ageing is increasing pressure on public social security systems in many countries. These developments have intensified the policy debate on how to extend working lives and increase labor force participation at older ages. Against this background, promoting labor force participation among individuals close to or beyond statutory retirement age has gained increasing importance. In the German policy debate, one prominent example of such an approach is the “active pension” scheme (Aktivrente) recently introduced in 2026. This policy allows employed pensioners to earn additional income up to a specified monthly threshold without being subject to income taxation. While the intended goal of these measures is to encourage voluntary labor supply at older ages, their actual quantitative effects on employment and public finances remain uncertain. Traditional models in pension economics typically conceptualize retirement as a discrete and absorbing state, in which labor force participation ends entirely upon retirement. In light of changing employment biographies and policy initiatives aimed at extending working lives, this limitation has become increasingly problematic. A methodological extension of existing microsimulation models that explicitly accounts for labor supply decisions at older ages, through differentiated transition scenarios, earnings rules, or tax allowances, is therefore required to reliably assess the effects of such reforms. The paper at hand addresses this methodological challenge using Germany as a case study. It examines to what extent microsimulation approaches behavioral adjustments can be further developed to analyze policy measures that create labor supply incentives for pensioners. The paper identifies and discusses both the limits and the potential of extending existing modeling frameworks. We were able to transfer the methodology of microsimulation to the group of retirees, using a microsimulation model based on the German Socio-Economic Panel. Simulations of hypothetical reform scenarios, as well as estimated labor supply elasticities, yield plausible results that are consistent with findings on labor supply responses among the younger working-age population. We plan to advance this model such that labor supply effects of realistic reform scenarios, like the active pension, can be estimated, as well as distributional effects of such reforms. We also plan to study and estimate in further detail the labor supply elasticities of pensioners with the model.

Navigating Trade-offs in German Social Benefit Reform

The current German system of means-tested social benefits, which include citizen’s benefit, housing benefit, and supplementary child benefit, is characterized by high effective marginal tax rates, which are often higher than 90 percent across wide income brackets. As a result, even substantial increases in working hours typically yield small gains in disposable household income. These high effective marginal tax rates apply not only to citizen’s benefit, but also to the housing benefit and supplementary child benefit. Additionally, the coexistence of competing benefits – citizen’s benefit on the one hand, housing benefit and supplementary child benefit on the other – makes the social benefits system complex to navigate for those affected. For these reasons, and against the backdrop of considerable fiscal pressures, there is currently intense political and academic debate about reforming the system.

Shifting the Tax Burden from Consumption to Income in Croatia: Preserving Efficiency while Reducing Inequality

This paper analyses the distributional effects of a fiscally neutral tax reform in Croatia that shifts the tax burden from consumption to labour income, capital income, and property. Such a reform can be considered justified given the imbalances of the Croatian tax system, which is characterised by an exceptionally high share of indirect taxes and relatively low taxation of labour, capital, and property income compared to the EU average, contributing to regressivity and greater income inequality.

Taxing Couples as Singles? A Structural Analysis of Labor Supply for Belgium

Joint taxation of married couples remains a central feature of many income tax systems, with significant implications for labor supply and household welfare. By pooling partners’ incomes into a single tax base, joint filing can create disincentives for secondary earners and generate marriage-related penalties, raising concerns about efficiency and equity. This paper studies the impact of joint taxation on the labor supply of couples in Belgium, where the personal income tax is formally individual but substantially adjusted at the household level. We estimate a Random Utility Random Opportunity (RURO) model of labor supply using rich administrative data linking tax records and demographic information. Using the FANTASI microsimulation model of the Belgian personal income tax, we perform a counterfactual analysis of a shift from joint to individual taxation.

The impact on income and labour supply of the limitation of the unemployment benefit in Belgium

Nearly half of the unemployed persons are excluded from the unemployment benefit system by the re-form which has been gradually implemented since 1 January 2026 in Belgium, particularly those with a long unemployment history. The main feature of the reform is to limit the duration of unemployment benefit payments to a maximum of two years, depending on work experience, instead of unlimited payments in time as in the old system. Further, the progressivity of the benefit scheme has been strengthened by an increase of 10% of the ceiling amount during the six first months of unemployment, and a re-duction to a lump sum for unemployed persons who are entitled to payments after one year of unemployment. This paper gives the ex-ante evaluation results on income and labour supply of this reform. The simulation exercise concludes that approximately one third of the excluded persons are expected to return to work, approximately 40% are predicted to receive the social minimum income. The remaining fourth withdraw from the labour market without replacement income, resulting in a significant loss of disposable revenue. Nonetheless the impact on the poverty rate is moderate. Older unemployed, aged 55 years and over, are particularly affected by the reform as more than three fourth of them lose their benefit, representing nearly 22% of the excluded sample. Regional differences are substantial, with Flanders being the least impacted and Brussels-Capital region the most. To fulfil the evaluation, we use: