Using spatial microsimulation to account for demographic and spatial factors in environmental benefit transfer

This paper presents a simulation-based modelling approach for estimating total visitor numbers and amenity values for prospective non-priced open-access outdoor recreation sites. To begin, the geographic extent of the market for recreation at a policy site is estimated using data from a similar study site. The population residing within this geographic area is simulated using a spatial microsimulation model and GIS techniques and an individual-level ‘visitor arrival function’ is then transferred across this simulated population. This allows the latent demand for visits to the policy site by each simulated individual to be predicted and summed, providing an estimate of the total potential demand for recreation at the site. Combining this with an economic value measure of a visit provides an estimate of the potential amenity value of the policy site. The approach is applied to Moyode Wood, a small-scale forest in the West of Ireland, and estimates the potential total economic value of recreation at €0.4 million for the site. The research represents the first time that spatial microsimulation has been used in environmental benefit transfer and shows how it can be used to control for differences in demographic and spatial factors between study and policy sites. It also demonstrates how individual-level single-site travel cost models estimated using on-site survey data can be used to predict demand at alternative policy sites.     

Assessing the employment effects of the German welfare reform – an integrated CGE-microsimulation approach

The purpose of this article is to quantify the employment effects of the recent German welfare reform. The key element of this reform was to merge the coexisting transfer systems Social Assistance (SA) and Unemployment Assistance (UA) into one unified benefit (Arbeitslosengeld II – ALG II). We also consider a second reform scenario that is intended to further improve the labour supply incentives of low-skilled workers. Our methodological contribution is to use an integrated CGE-microsimulation model. In adopting such an approach, we are able to combine the advantages of microsimulation studies by accounting for the large amount of heterogeneity in terms of households’ preferences and budget constraints with the advantages of an applied general equilibrium model. The latter permits us to identify potential general equilibrium repercussions through changes in wages and unemployment. The simulations indicate that the introduction of ALG II results in a negligible increase in employment of only 45?000 individuals. In contrast, a cut in benefit levels combined with a decrease in transfer withdrawal is shown to produce somewhat larger employment effects of about 190?000 individuals.     

Analysing Tax–Benefit Reforms Using Non‐Parametric Methods*

Static tax–benefit microsimulation models (MSMs) are widely used and well‐regarded tools for public policy analysis, but it is essential to use them very carefully. This paper focuses on the analysis of MSM output, suggesting the use of non‐parametric methods as a useful, informative and relatively straightforward complement to detect effects not always captured by measures often used to present MSM results. Non‐parametric methods are used here to analyse the output of an MSM applied to the 1998 Italian personal income tax reform, the main change in which concerned the tax schedule: the first tax rate was increased from 10 per cent to 18.5 per cent and the top one was reduced by 4.5 percentage points. Non‐parametric methods highlight that the effects of this reform were very different for different types of households, with low‐income pensioner households among the main losers. Results are checked for robustness by standard statistical methods and compared with empirical results obtainable using quintile histograms.     

A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels

The daily trip to work is ubiquitous, yet its characteristics differ widely from person to person and place to place. This is manifested in statistics on mode and distance of travel, which vary depending on a range of factors that operate at different scales. This heterogeneity is problematic for decision makers tasked with encouraging more sustainable commuter patterns. Numerical models, based on real commuting data, have great potential to aid the decision making process. However, we contend that new approaches are needed to advance knowledge about the social and geographical factors that relate to the diversity of commuter patterns, if policies targeted to specific individuals or places are to be effective. To this end, the paper presents a spatial microsimulation approach, which combines individual-level survey data with geographically aggregated census results to tackle the problem. This method overcomes the limitations imposed by the lack of available geocoded micro-data. Further, it allows a range of scales of analysis to be pursued in parallel and provides insights into both the types of area and individual that would benefit most from specific interventions.     

Some Determinants of Core Competencies: Evidence from a Binary-Logit Analysis

Despite the increasing recognition of the salience of core competencies in the process of competition, the notion of core competencies has remained largely ambiguous in the literature. Neither is it clear what strategies, institutions, and resources are necessary for developing and sustaining core competencies. This paper uses the binary-logit model to explore the determinants of core competencies, and identifies investment in intangible assets, marketing/promotional activities and firm size as significant determinants of core competencies. An evaluation of the technology strategies of two competence-seeking firms also points to the increasing salience of intangible assets, decentralization/globalization of the R&D function, and the intensive search for knowledge and capabilities.     

The Great Recession,Austerity and Inequality: Lessons from Ireland

The advent of the Great Recession and the widespread adoption of fiscal austerity policies have heightened concern about inequality and its effects. We examine how the distribution of income in Ireland—a country which experienced one of the most severe economic contractions—has evolved over the years 2008 to 2013. Standard cross‐sectional analysis of the income distribution shows broad stability in the Gini coefficient and in decile shares, with one main exception: the share of the bottom decile fell sharply, with the largest fall in average incomes being for that group. Longitudinal analysis shows that the falls in the average income for the bottom decile were not due to decreasing income for those remaining in the bottom decile, but to falls in income from those initially located in higher deciles. The extent of redistribution through taxes and transfers increased strongly, as measured by the Reynolds‐Smolensky index, which rose from 0.20 before the onset of the crisis to 0.27 in 2013. Analysis indicates that about three‐quarters of this increased redistribution is due to automatic stabilisers and one‐quarter to discretionary policy changes.     

Shifting Taxes from Labor to Consumption: More Employment and more Inequality?

This paper investigates the effect of shifting taxes from labor income to consumption on labor supply and the distribution of income in Germany. We simulate stepwise increases in the value‐added tax (VAT) rate, which are compensated by revenue‐neutral reductions in income‐related taxes. We differentiate between the personal income tax (PIT) and social security contributions (SSC). Based on a dual data base and a microsimulation model of household labor supply behavior, we find a regressive impact of such a tax shift in the short run. When accounting for labor supply adjustments, the adverse distributional impact persists for PIT reductions, while the overall effects on inequality and progressivity become lower when payroll taxes are reduced. This is partly due to increases in aggregate labor supply, resulting from higher work incentives.     

Revisiting wage subsidies: How pro-poor is a South African wage subsidy likely to be?

Wage subsidies have been used in both developed and developing countries to raise employment. After a decade of deliberation, the South African Government recently announced the introduction of a wage subsidy scheme. Given the intrinsic link between unemployment and poverty in South Africa, the belief is that a wage subsidy programme sufficient in scope will also make inroads into poverty. However, the way in which jobs are distributed among poor and non-poor jobseekers is crucial. Our general equilibrium microsimulation model confirms the expectation that a higher wage elasticity of labour demand is associated with larger reductions in poverty. We also find that a greater proportion of new jobs accrue to poor jobseekers when the elasticity is high. While youth-targeting does not improve the poverty-reducing effect of the policy, sectors such as textiles, accommodation, and construction services with their pro-poor employment profiles are good candidates for targeting.     

ECONOMIC WELFARE ANALYSIS OF THE LEGALIZATION OF DRUGS: A CGE MICROSIMULATION MODEL FOR COLOMBIA

In this paper, a computable general equilibrium (CGE) microsimulation model is used to analyze the effects of an ex ante legalization of drugs on the Colombian economy. The model consists of 11 productive sectors, 3 different labor force categories with unemployment, and 20 households divided by income and location. Changes in wages and migration are estimated using a labor participation model, and a NIDS estimates the demands of the households. Changes in household economic welfare, measured by changes in income and prices (CV and EV measurements), are very sensitive to the reinvestments that the government makes in the economy. By analyzing six different scenarios with different assumptions about changes in drug prices, investments of the government, and the termination of the armed conflict, the results suggest that economic welfare improves when the government reinvests military expenditures in other productive sectors or when the ‘economy of war’ continues and the legalization does not end the armed conflict.