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Unemployment Insurance as a Worker Indiscipline Device? Evidence from Scanner Data. (2021). Taylor, Rebecca ; Lusher, Lester ; Schnorr, Geoffrey.
In: IZA Discussion Papers.
RePEc:iza:izadps:dp14105.

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  1. The Finance of Unemployment Compensation and Its Consequences. (2021). Guo, Audrey ; Johnston, Andrew C.
    In: Public Finance Review.
    RePEc:sae:pubfin:v:49:y:2021:i:3:p:392-434.

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  2. Why Is Workplace Sexual Harassment Underreported? The Value of outside Options amid the Threat of Retaliation. (2021). Knepper, Matthew ; Dahl, Gordon.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp14740.

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  3. Why Is Workplace Sexual Harassment Underreported? The Value of Outside Options Amid the Threat of Retaliation. (2021). Knepper, Matthew ; Dahl, Gordon B.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_9320.

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  4. The Finance of Unemployment Compensation and its Consequence for the Labor Market. (2020). Guo, Audrey ; Johnston, Andrew C.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp13330.

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  5. Risk Sharing within the Firm: A Primer. (2020). Pagano, Marco.
    In: EIEF Working Papers Series.
    RePEc:eie:wpaper:2019.

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  1. “Date” refers to exact date (e.g., August 3, 2017). Standard errors are shown in parentheses.
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  2. ” U.S. Department of Agriculture. https://www.fns.usda.gov/pd/ supplemental-nutrition-assistance-program-snap, accessed 2018-03-23.
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  3. 1. Arkansas, 4/2011: Arkansas Senate Bill 593 reduced AR’s PBD to 25 weeks. (See 2011 report #5.) 2. Missouri, 5/2011: Missouri House Bill 163 reduced MO’s PBD to 20 weeks (Johnston and Mas, 2018).
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  4. 2. Maryland, 4/12/2009, EUC: Number of weeks available through the EUC program increases from 20 to 33. This change resulted from MD’s TUR crossing the threshold value of 6%. (During this time period the second tier of EUC benefits provided an additional 13 weeks to states with TUR ≥ 6% (Isaacs and Whittaker, 2014).) 3. Virginia, 5/3/2009, EB: Number of weeks available through the EB program increases from 0 to 13. This change resulted directly from VA adopting the TUR option. The TUR in VA exceeded the 13 week trigger value under the TUR option, but was below the IUR trigger value and the 20 week TUR trigger value.
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  5. 4. Virginia, 5/3/2009, EUC: Number of weeks available through the EUC program increases from 20 to 33. This change resulted from VA’s TUR crossing the threshold value of 6%. (During this time period the second tier of EUC benefits provided an additional 13 weeks to states with TUR ≥ 6% (Isaacs and Whittaker, 2014).
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  6. 5. Washington D.C., 11/8/2009, EUC: Number of weeks available through the EUC program increases from 33 to 53. This change resulted from a policy change at the federal level which restructured the EUC program, increasing the number of weeks available through the EUC’s second tier to 14 54 See the Office of Unemployment Insurance website, Online, accessed 14 Sep. 2018.
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  7. 6. Maryland, 11/8/2009, EUC: Number of weeks available through the EUC program increases from 33 to 47. This change resulted from a policy change at the federal level which restructured the EUC program, increasing the number of weeks available through the EUC’s second tier to 14 (from 13), and creating third (13 weeks), and fourth (6 weeks) tiers. The TUR in MD exceeded the threshold value for the third tier but not the fourth (Isaacs and Whittaker, 2014).
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  8. 7. Virginia, 11/8/2009, EUC: Number of weeks available through the EUC program increases from 33 to 47. This change resulted from a policy change at the federal level which restructured the EUC program, increasing the number of weeks available through the EUC’s second tier to 14 (from 13), and creating third (13 weeks), and fourth (6 weeks) tiers. The TUR in VA exceeded the threshold value for the third tier but not the fourth (Isaacs and Whittaker, 2014).
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  9. Age (in years) 40.352 12.395 Female 0.462 0.499 Race: - White 0.834 0.372 - Asian 0.029 0.169 - Black 0.115 0.319 Born in the US 0.918 0.275 Works in private sector 0.831 0.375 Occupation sector: - Management occupations 0.111 0.314 - Sales and related occupations 0.101 0.301 - Office and administrative support 0.151 0.358 Works part time 0.121 0.326 Usual number of weekly hours 41.732 9.173 Weekly earnings (in $) 900.487 1694.676 Paid hourly (not salary) 0.454 1.635 Number of minutes at the workplace: - Not working (shirking) 31.833 37.55 - Working 478.613 139.776 Notes: American Time Use Survey (ATUS) data initially collected at the respondent-activity level from the years 2003 to 2014, then collapsed to the respondent level. Observation weights provided by ATUS.
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  18. Changes to State Regular PBD During ATUS Sample Between 4/2011 and 8/2014 the states of Arkansas, Florida, Georgia, Illinois, Michigan, Missouri, North Carolina, and South Carolina each passed legislation reducing their regular PBDs below 26 weeks (Isaacs, 2019). This variation is not relevant for our scanner data sample but is utilized in our ATUS analyses. Here we provide additional detail on each of these policy changes, listed in order of the month that the relevant PBD change is first recorded in our data. Unless otherwise noted sources are the Department of Labor’s Reports on State UI Legislation.55.
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  33. Figure 2: Trends in UI potential benefit duration (PBD) for ATUS sample (a) Mean and standard deviation of PBD across states by month 0 5 10 15 Standard deviation of PBD 20 40 60 80 100 UI PBD (in weeks) 2000m1 2005m1 2010m1 2015m1 Month Mean Standard deviation (b) Min and max of PBD across states by month 20 40 60 80 100 UI PBD (in weeks) 2000m1 2005m1 2010m1 2015m1 Month Min Max Source: Data were obtained from a replication file for Farber, Rothstein and Valletta (2015).
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  34. Figure 3: Searches on Google via Google Trends (a) Searches for “Unemployment benefits” Week after EUC enacted First EUC change Second EUC change 20 40 60 80 100 Search frequency on Google Trends 01jan2008 30jun2008 21nov2008 06nov2009 date (b) Searches for “Emergency Unemployment Compensation” Week after EUC enacted First EUC change Second EUC change 0 20 40 60 80 100 Search frequency on Google Trends 01jan2008 30jun2008 21nov2008 06nov2009 date Notes: Google Trends data retrieved from Google Inc. Search frequency, indexed to a 0 to 100 scale, shows how often a particular search-item on Google Search (i.e. “Unemployment benefits ” and “Emergency Unemployment Compensation”) is entered relative to the total searchvolume for the search-item across the queried time period (January 2008 - December 2009) within the United States. An index of 100 reveals the week(s) with the highest search frequency of that item within the queried time period.
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  35. Finally, in order to compare the absolute popularity of “Unemployment benefits” to non-economics terms, in the third panel, we include the search terms “Disneyland,” “Eiffel Tower,” “Wall-E,” and “Summer camp.” Once again, “Unemployment benefits” was one of the more popular search items during this time period. Wall-E was one of the most popular movies in 2008; during the week of Wall-E’s peak searchpopularity in June of 2008, people still searched for “Unemployment benefits” at roughly 20% the frequency of “Wall-E” (i.e. for every five searches for “Wall-E,” there was one search for “Unemployment benefits”).
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  45. However, on four separate occasions during our sample (in March, April, June, and November of 2010) Congress failed to extend the program before its previous expiration date so that there were temporary lapses in EUC availability. The first two of these lapses were short (2 and 10 days respectively) while the latter two were relatively long (nearly 2 months).
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  64. Searches for “Summer camp” are unsurprisingly cyclical, yet during the summer of 2009, these searches seldom exceeded searches for “Unemployment benefits.” During the first EUC change and the ARRA period, search volume for “Unemployment benefits” is comparable to “Disneyland.” Searches for “Unemployment benefits” roughly double the amount of searches for “Eiffel Tower,” despite the Eiffel Tower being the fifth 56 Though the Google Trend’s scale cannot be mapped into total search volume on Google Search, estimates do exist on the popularity of Google Search overall. For instance, roughly 3.5 billion searches are made per day. From 2008 to 2009, there were nearly 1.4 trillion total searches made on Google Search. Source: WordStream, Online, access 31 Jul. 2019. most searched item on Google Maps.
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  66. Table 2: Potential benefit duration (PBD) changes during sample period Washington D.C. Maryland Virginia EB EUC Total EB EUC Total EB EUC Total 12/1/2008 0 33 59 0 20 46 0 20 46 4/5/2009 0 33 59 0 20 46 0 20 46 4/12/2009 20 33 79 0 33 59 0 20 46 5/3/2009 20 33 79 0 33 59 13 33 72 11/8/2009 20 53 99 0 47 73 13 47 86 4/5/2010 20 0 46 0 0 26 13 0 39 4/15/2010 20 53 99 0 47 73 13 47 86 6/2/2010 20 0 46 0 0 26 13 0 39 7/22/2010 20 53 99 0 47 73 13 47 86 11/30/2010 20 0 46 0 0 26 13 0 39 12/17/2010 20 53 99 0 47 73 13 47 86 Notes: EB = extended benefits. EUC = emergency unemployment compensation. Numbers represent maximum duration (in weeks) of UI benefits available during the time period beginning on the date in the first column. Total weeks are calculated as the sum of any EB extensions, EUC extensions, and the standard pre-extension PBD for all states (26 weeks).
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  67. Taylor, Rebecca L. C. 2020. “A Mixed Bag: The Hidden Time Costs of Regulating Consumer Behavior.” Journal of the Association of Environmental and Resource Economists, 7(2): 345–378.

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  69. These estimates are likely to be conservative since a cashier’s first day in the Mas and Moretti (2009) sample is likely not their first day at the retailer, a cashier may have relevant earnings from other employers, and a cashier may earn more than the minimum wage.
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  70. U.S. Census Bureau. 2008-2011. “Current Population Survey.” https://cps.ipums.org/, accessed 2018-03-24 via IPUMS.
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  71. U.S. Census Bureau. 2017. “Retail Trade: Summary Statistics for the U.S., States, and Selected Geographies: 2017.” https://data.census.gov/cedsci/, accessed 2020-09-24.
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  72. UI eligibility rules vary by state and are based on earnings histories in the location of employment, not residence. The UI eligibility rules in our sample are as follows (Source: Department of Labor, Online, accessed 14 Sep. 2018): In Maryland, $900 in wages in the first four of the last five completed calendar quarters, with ≥$576 in the highest earning of those quarters, and >$0 in wages in two of those quarters; In Virginia, $2,700 in wages in either the first four or the last four of the last five completed calendar quarters, with ≥$2,700 in wages during the highest two earning of those quarters; In Washington D.C., $1,950 in wages in either the first four or the last four of the last five completed calendar quarters, and either ≥$1,300 in the highest earning of those quarters or ≥$1,950 in the two highest earning of those quarters.
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  73. Valletta, Robert G. 2014. “Recent Extensions of US Unemployment Benefits: Search Responses in Alternative Labor Market States.” IZA Journal of Labor Policy, 3(1): 18.

  74. We do not model the optimal e∗ from the employer’s or social planner’s perspective. Therefore, we do not explicitly define shirking and we use the terms “a decrease in effort” and “an increase in shirking” interchangeably. A general equilibrium approach would model the employer’s choice of wage offers and it is worth considering whether or not such employer responses affect the partial equilibrium relationships that we estimate. It is at least possible for both employers and customers to foresee changes in worker effort provision in response to UI benefit changes. In section 5, we investigate these possibilities by looking for changes in cashier characteristics and transaction characteristics in response to PBD changes. Concerns about employer responses are also partially reduced by observations in past work with data from this supermarket chain which suggest that workers are primarily responsible for choosing their own shifts (Mas and Moretti, 2009).
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  75. Whittaker, Julie M, and Katelin P Isaacs. 2013. “Extending Unemployment Compensation Benefits During Recessions.” Congressional Research Service, Library of Congress RL34340.
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  76. Whittaker, Julie M, and Katelin P Isaacs. 2014. “Unemployment Insurance: Legislative Issues in the 113th Congress.” Congressional Research Service, Library of Congress R42936.
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    RePEc:uwp:jhriss:v:47:y:2012:iv:1:p:913-950.

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  20. The impact of the EU takeover directive on takeover performance and empire building. (2012). Humphery-Jenner, Mark ; Humphèry, Mark ; Humphery von Jenner, Mark.
    In: Journal of Corporate Finance.
    RePEc:eee:corfin:v:18:y:2012:i:2:p:254-272.

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  21. Household Responses to Information on Child Nutrition: Experimental Evidence from Malawi. (2012). Vera-Hernandez, Marcos ; Malde, Bansi ; Mesnard, Alice ; Fitzsimons, Emla.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:8915.

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  22. The Relationship between Tax Increment Finance and Municipal Land Annexation. (2009). Skidmore, Mark ; Merriman, David ; Kashian, Russ.
    In: Land Economics.
    RePEc:uwp:landec:v:85:y:2009:i:4:p:598-613.

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  23. Irrational Exuberance in the U.S. Housing Market; Were Evangelicals Left Behind?. (2009). Crowe, Christopher W.
    In: IMF Working Papers.
    RePEc:imf:imfwpa:2009/057.

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  24. North-South Integration and the Location of Foreign Direct Investment. (2008). Waldkirch, Andreas ; Tekin-Koru, Ayca.
    In: MPRA Paper.
    RePEc:pra:mprapa:6912.

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  25. The Effect of the Theo van Gogh Murder on House Prices in Amsterdam. (2007). van Vuuren, Aico ; Siegmann, Arjen ; Gautier, Pieter.
    In: Tinbergen Institute Discussion Papers.
    RePEc:tin:wpaper:20070013.

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  26. How Do Workplace Smoking Laws Work? Quasi-Experimental Evidence from Local Laws in Ontario, Canada. (2007). Carpenter, Christopher.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:13133.

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  27. The Effect of the Theo van Gogh Murder on House Prices in Amsterdam. (2007). van Vuuren, Aico ; Siegmann, Arjen ; Gautier, Pieter.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp2579.

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  28. The Growth Effects of Democracy: Is It Heterogenous and How Can It Be Estimated?. (2007). Tabellini, Guido ; Persson, Torsten.
    In: Levine's Working Paper Archive.
    RePEc:cla:levarc:321307000000000969.

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  29. Asymmetries in the Responses of Sub-Central Governments to Changes in Grants: Evidence From an Event Study. (2006). Muscatelli, Vito ; Darby, Julia ; Roy, Graeme.
    In: ERSA conference papers.
    RePEc:wiw:wiwrsa:ersa06p508.

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  30. Climbing Atop the Shoulders of Giants: The Impact of Institutions on Cumulative Research. (2006). Furman, Jeffrey L. ; Stern, Scott.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:12523.

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  31. The Unequal Effects of Liberalization: Evidence from Dismantling the License Raj in India. (2006). Zilibotti, Fabrizio ; Redding, Stephen ; Burgess, Robin ; Aghion, Philippe.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:12031.

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  32. New Technology in Schools: Is There a Payoff?. (2006). Silva, Olmo ; McNally, Sandra ; Machin, Stephen.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp2234.

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  33. The Effect of Taxes and Bans on Passive Smoking. (2006). Cornaglia, Francesca ; Adda, Jerome.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp2191.

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  34. Job Security and Work Absence: Evidence from a Natural Experiment. (2006). Persson, Mats ; Palme, MÃ¥rten ; Lindbeck, Assar.
    In: Research Papers in Economics.
    RePEc:hhs:sunrpe:2006_0003.

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  35. Job Security and Work Absence: Evidence from a Natural Experiment. (2006). Persson, Mats ; Palme, MÃ¥rten ; Lindbeck, Assar.
    In: Working Paper Series.
    RePEc:hhs:iuiwop:0660.

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  36. Job Security and Work Absence: Evidence form a Natural Experiment. (2006). Persson, Mats ; Palme, MÃ¥rten ; Lindbeck, Assar.
    In: Seminar Papers.
    RePEc:hhs:iiessp:0743.

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  37. Why So Many Local Entrepreneurs?. (2006). Silva, Olmo ; Michelacci, Claudio.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:5828.

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  38. The Unequal Effects of Liberalization: Evidence from Dismantling the License Raj in India. (2006). Zilibotti, Fabrizio ; Redding, Stephen ; Burgess, Robin ; Aghion, Philippe.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:5492.

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  39. Job Security and Work Absence: Evidence from a Natural Experiment. (2006). Persson, Mats ; Palme, MÃ¥rten ; Lindbeck, Assar.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_1687.

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  40. BEING THE NEW YORK TIMES: THEPOLITICAL BEHAVIOUR OF A NEWSPAPER. (2006). Puglisi, Riccardo.
    In: STICERD - Political Economy and Public Policy Paper Series.
    RePEc:cep:stipep:20.

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  41. The Unequal Effects of Liberalization: Evidence from Dismantling the License Raj in India. (2006). Zilibotti, Fabrizio ; Redding, Stephen ; Burgess, Robin ; Aghion, Philippe.
    In: CEP Discussion Papers.
    RePEc:cep:cepdps:dp0728.

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  42. Universal Childcare, Maternal Labor Supply, and Family Well-Being. (2005). Milligan, Kevin ; Gruber, Jonathan ; Baker, Michael.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:11832.

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  43. Faith-Based Charity and Crowd Out during the Great Depression. (2005). Hungerman, Daniel ; Gruber, Jonathan.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:11332.

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  44. The effects of taxes and bans on passive smoking. (2005). Cornaglia, Francesca ; Adda, Jerome ; Corniglia, Francesca.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:20/05.

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  45. Antidepressants and the Suicide Rate: Is There Really a Connection?. (2005). Dahlberg, Matz ; Lundin, Douglas .
    In: Working Paper Series.
    RePEc:hhs:uunewp:2005_004.

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  46. Inequality and crime: separating the effects of permanent and transitory income. (2005). Gustavsson, Magnus ; Dahlberg, Matz.
    In: Working Paper Series.
    RePEc:hhs:ifauwp:2005_019.

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  47. Fiscal Federalism and Fiscal Consolidation: Evidence from an Event Study. (2005). Muscatelli, Vito ; Darby, Julia ; Roy, Graeme.
    In: Working Papers.
    RePEc:gla:glaewp:2005_21.

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  48. The Costs of Remoteness: Evidence from German Division and Reunification. (2005). Sturm, Daniel ; Redding, Stephen.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:5015.

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  49. The Costs of Remoteness: Evidence from German Division and Reunification. (2005). Sturm, Daniel ; Redding, Stephen.
    In: CEP Discussion Papers.
    RePEc:cep:cepdps:dp0688.

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  50. Fiscal Federalism, Fiscal Consolidations and Cuts in Central Government Grants: Evidence from an Event Study. (2004). Muscatelli, Vito ; Darby, Julia ; Roy, Graeme.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_1305.

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