Intranational Home Bias: Some Explanations

By Russell Hillberry, David L. Hummels. Review of Economics and Statistics, 2003

182 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/062396fc73e2e309a2dee27cf6770a2fe289cc27

Citations in the corpus

• Is gravity linear (2008, unknown): “Specifically, the bandwidths are chosen to minimize AICc = log ¡b σ2¢+ 1 + tr(H)/N 1− [tr(H) + 2] /N (19)”
• Intra-national trade costs: Assaying regional frictions (2019, unknown): “(40)The estimate of lnUTBij is constructed as: ̂ lnUTBij = ω̂0 + (ω̂1 − 1) ln ( t̂ ij )1−σ + (ω̂2 + ω̂2/(ω̂2 + ω̂3)) ψ̂ii + (ω̂3 + ω̂3/(ω̂2 + ω̂3)) ψ̂jj + ω̂4ψ̂(2) ii + ω̂5ψ̂ 2 jj + ω̂6ψ̂iiψ̂jj + uij (28) The second and third lines decompose lnUTB into the ‘true’ UTB and the contribution of non-neut”
• An Alternative Theory of the Plant Size Distribution, with Geography and Intra- and International Trade (2014, unknown): “5 Hillberry and Hummels ð2003, 2008Þ are the first economics papers to use these confidential microdata.”
• Intra-national versus International Trade in the European Union: Why do National Borders Matter? (2004, unknown): “As in Evans (1999), Hillberry (1999) and Nitsch (2000a), Yi;k is the production of exporter i in industry k, while Yj is the importing country’s GDP .”
• Do state borders matter for U.S. intranational tradeq The role of history and internal migration (2007, unknown): “Second, Hillberry (2001) and Hillberry and Hummels (2000) argue that utilization of the aggregate CFS data may affect the interpretation of the border effect.”
• Fiscal Stimulus in a Monetary Union: Evidence from U.S. Regions (2014, unknown): “However, roughly 40% of all shipments in the CFS are from wholesalers to retailers and the results of Hillberry and Hummels (2003) suggest that a large majority of these are likely to be within region.”
• Is the International Border Effect Larger than the Domestic Border Effect? Evidence from U.S. Trade (2009, unknown): “22 As Hillberry and Hummels (2008) note, when large geographical units are used, there can be an aggregation bias if the ‘true’ underlying distances (that is, distances based on smaller geographical units) are in fact shorter.”
• The trade-creating effects of business and social networks: evidence from France (2005, unknown): “Commodity Flow Survey (CFS) recently used in Wolf (2000), Anderson and van Wincoop (2003) or Hillberry and Hummels (2003) for instance.”
• The Geography of Trade in Online Transactions: Evidence from eBay and MercadoLibre (2009, unknown): “For each pair of locations, there is one observation for auction transactions and one for fixed-price transactions.(13) Having all transactions in the database eliminates the problem of the missing buyer-location data and any measurement error associated with the sampling procedure used with the eBa”
• Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market (2016, unknown): “Within a country, transactions are also more likely to occur within a particular area rather than across boundaries (Hillberry and Hummels 2003, Wolf 2000).”