How Far for a Buck? Tax Differences and the Location of Retail Gasoline Activity in Southeast Chicagoland

Manuszak, Mark D.; Moul, Charles C.

doi:10.1162/rest.91.4.744

Cited by 51 publications

(30 citation statements)

References 17 publications

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“…Manuszak and Moul (2009) analyse for example the retail gasoline activity in Southeast Chicagoland and report a sharp discontinuity in activity across regions that coincides with the political boundary and a decline in activity in the high tax region as the low tax border is approached. Stehr (2007) analyses the effect of Sunday sales bans on spirits and tax variation across U.S. states and reports that about 80% and 20% of increases in spirit sales following the repeal of Sunday sales ban are due to own-state drinking and cross-border shopping, respectively.…”

Section: International Literaturementioning

confidence: 99%

Cross-Border Commuting and Consuming: An Empirical Investigation

2014

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The HFCN collects household-level data on households' finances and consumption in the euro area through a harmonised survey. The HFCN aims at studying in depth the micro-level structural information on euro area households' assets and liabilities. The objectives of the network are: Terms of use: Documents in EconStor may1) understanding economic behaviour of individual households, developments in aggregate variables and the interactions between the two;2) evaluating the impact of shocks, policies and institutional changes on household portfolios and other variables;3) understanding the implications of heterogeneity for aggregate variables; 4) estimating choices of different households and their reaction to economic shocks; 5) building and calibrating realistic economic models incorporating heterogeneous agents; 6) gaining insights into issues such as monetary policy transmission and financial stability.The refereeing process of this paper has been co-ordinated by a team composed of Gabriel Fagan (ECB), Pirmin Fessler (Oesterreichische Nationalbank), Michalis Haliassos (Goethe University Frankfurt) , Tullio Jappelli (University of Naples Federico II), Sébastien PérezDuarte (ECB), Jiri Slacalek (ECB), Federica Teppa (De Nederlandsche Bank), Peter Tufano (Oxford University) and Philip Vermeulen (ECB).The paper is released in order to make the results of HFCN research generally available, in preliminary form, to encourage comments and suggestions prior to final publication. The views expressed in the paper are the author's own and do not necessarily reflect those of the ESCB. Abstract: This paper analyses empirically how cross-border consumption varies across product and services categories and across household characteristics. It focuses on the part of crossborder sales that arise due to work-related cross-border crossings; it analyses the crossborder consumption behaviour of cross-border commuter households residing in Belgium, France and Germany and working in Luxembourg. In total, it is estimated that these households spend €925 million per annum in Luxembourg, reflecting about 17% of their gross annual income from Luxembourg and contributing about 10% to total household final consumption expenditure in Luxembourg. Cross-border consumption expenditure is shown to depend on individual and household characteristics, such as total household income, the number of cross-border commuters in the household, distance between home and work, as well as price level (...

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Section: International Literaturementioning

confidence: 99%

Cross-Border Commuting and Consuming: An Empirical Investigation

2014

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“…They suggest that this is not a serious issue as the downward bias of the estimates reflects the constraints placed by entry. 28 This view has an intuitive appeal. However, typically there is no information in this context on the time that it takes for entry to restore a competitive outcome, and therefore an antitrust authority assessing adverse effects to competition within a limited (e.g.…”

Section: Policy Implicationsmentioning

confidence: 99%

“…27 For example, the 2000 Competition Commission Supermarket inquiry conducted a price concentration analysis that included dummy variables for different types of stores to capture differences in the product range or other quality measures. 28 The direction and magnitude of the bias depends on its source and generally is not obvious. For example, if it is due to factors affecting marginal costs, then, as an increase in marginal costs shifts up both π(·) and η(·), it could even induce a positive OLS estimate for the coefficient on n in π(·).…”

Section: Policy Implicationsmentioning

confidence: 99%

Price-Concentration Analysis in Merger Cases with Differentiated Products

Beckert

Mazzarotto²

2010

Economics

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This paper considers the empirical assessment of the relationship between prices and number of firms in local markets in geographic or, more generally, characteristic space and its use as evidence in merger cases. It outlines a structural, seminonparametric econometric model of competition in such markets, examines its testable implications in terms of price-concentration relationships, and demonstrates that the model is non-parametrically identified. This general approach to price-concentration analysis in differentiated product markets is illustrated in a small-scale application to cinemas in the UK. The application highlights the main decision points faced by an authority when assessing the weight that can be attached to this type of analysis as evidence. JEL L11, C31

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“…Local residents, tourists or cross-border commuters use existing arbitrage opportunities and buy fuel, tobacco, alcohol or other products in the country where it is cheaper (see e.g. Manuszak and Moul, 2009 for fuel, Thursby, Jensen andThursby, 1991 for tobacco andAsplund, Friberg andWilander, 2007 for alcohol). This is for example also the case for Luxembourg and its neighbouring countries (Mathä, Porpiglia and Ziegelmeyer, 2014a).…”

Section: Introductionmentioning

confidence: 99%

Wealth Differences Across Borders and the Effect of Real Estate Price Dynamics: Evidence from Two Household Surveys

2014

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The HFCN collects household-level data on households' finances and consumption in the euro area through a harmonised survey. The HFCN aims at studying in depth the micro-level structural information on euro area households' assets and liabilities. The objectives of the network are: Terms of use: Documents in EconStor may1) understanding economic behaviour of individual households, developments in aggregate variables and the interactions between the two;2) evaluating the impact of shocks, policies and institutional changes on household portfolios and other variables;3) understanding the implications of heterogeneity for aggregate variables; 4) estimating choices of different households and their reaction to economic shocks; 5) building and calibrating realistic economic models incorporating heterogeneous agents; 6) gaining insights into issues such as monetary policy transmission and financial stability.The refereeing process of this paper has been co-ordinated by a team composed of Gabriel Fagan (ECB), Pirmin Fessler (Oesterreichische Nationalbank), Michalis Haliassos (Goethe University Frankfurt), Tullio Jappelli (University of Naples Federico II), Sébastien PérezDuarte (ECB), Jiri Slacalek (ECB), Federica Teppa (De Nederlandsche Bank), Peter Tufano (Oxford University) and Philip Vermeulen (ECB).The paper is released in order to make the results of HFCN research generally available, in preliminary form, to encourage comments and suggestions prior to final publication. The views expressed in the paper are the author's own and do not necessarily reflect those of the ESCB. Crossing borders, be it international or regional, often go together with price, wage or indeed wealth discontinuities. This paper identifies substantial wealth differences between Luxembourg resident households and cross-border commuter households despite their similar incomes. The average (median) net wealth difference is estimated to be €367,000 (€129,000) and increases for higher percentiles. Using several different regression and decomposition techniques, spatial (regional) differences in real estate price developments, and thus differences in accumulated nominal capital gains are shown to be one main driving factor for these wealth differences. Other factors contributing to the observed wealth differences are differences in age, income, education and other household characteristics. AcknowledgementsKeywords: household survey, wealth, real estate price dynamics, cross-border commutin...

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How Far for a Buck? Tax Differences and the Location of Retail Gasoline Activity in Southeast Chicagoland

Cited by 51 publications

References 17 publications

Cross-Border Commuting and Consuming: An Empirical Investigation

Cross-Border Commuting and Consuming: An Empirical Investigation

Price-Concentration Analysis in Merger Cases with Differentiated Products

Wealth Differences Across Borders and the Effect of Real Estate Price Dynamics: Evidence from Two Household Surveys

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