This paper develops men2_eu_vwgpx , a microsimulation model for fuel and vehicle expenditure responses among men aged 35–54 in 27 EU countries. The model combines vehicle usage data (VW – vehicle weeks) with the GPX (gasoline price index) to estimate price elasticities. Unlike standard models, men2_eu_vwgpx incorporates cohort-specific commuting patterns and car dependency in peri-urban areas. Preliminary results show that men in this cohort reduce vehicle kilometers by only 0.11% for a 10% fuel price increase — much lower than the EU average (−0.23%). The model is calibrated on 2019–2024 EU transport microdata. 3. If this is a placeholder for a code/graphic/paragraph you want me to write generically I will treat men2_eu_vwgpx as a unique identifier and write a generic development piece (e.g., for a documentation or a function header): Development piece:
Title: Transport Elasticities for Middle-Aged Men in the EU: Introducing the men2_eu_vwgpx Model men2_eu_vwgpx
men2_eu_vwgpx Type: Numeric, continuous Source: EU transport expenditure survey, wave 2 (men, middle cohort, 35–49 years) Description: This variable captures the monthly expenditure on vehicle maintenance and gasoline as a share of disposable income, indexed to the EU average (EU27 = 100). The vw component refers to “vehicle weekly use” (km driven per week), and gpx is the gasoline price index at NUTS2 level, weighted by local fuel taxes. Range: 0 – 250 Missing values: -99 (no car ownership), -97 (refusal) Use case: Analyzing transport cost burden on middle-aged men in the EU during fuel price shocks. 2. If this is a model or script name in an economic geography or mobility study Model: men2_eu_vwgpx Interpretation: Men’s mobility energy needs – EU – vehicle + gasoline price extension This paper develops men2_eu_vwgpx , a microsimulation model