Socio-economic Distance and Spatial Patterns in Unemployment Journal of Applied Econometrics 17

By Timothy G. Conley, Giorgio Topa. 2002

454 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Education, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0aa2d3cf8d4d824d18890b24b59c4662f6e81e12

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Citations in the corpus

Intergenerational Networks, Unemployment, and Persistent Inequality in South Africa (2010, background): “For example, Conley and Topa (2002) examine spatial correlations in unemployment with respect to several distance metrics, including miles, travel time, occupational distance, and ethnic similarity measures across census tracts.”
Alternative Approaches to Estimation and Inference in Large Multifactor Panels: Small Sample Results with an Application to Modelling of Asset Returns (2005, unknown): “This approach is exemplified in work by Lee and Pesaran (1993) , Conley and Dupor (2003) , Conley and Topa (2002) and Pesaran, Schuermann, and Weiner (2004) , as well as the literature on spatial econometrics recently surveyed by Anselin (2001) .”
Identification of Social Interactions (2011, unknown): “Conley and Topa (2007) extend Topa (2001) by allowing for the use of individual-level information in the analysis of a variant of Topa’s structural model, using a combination of calibration and estimation rather than indirect inference with an auxiliary equation.”
Large Panels with Common Factors and Spatial Correlation (2011, background): “Proximity need not be measured in terms of physical space, but can be de ned using other types of metrics, such as economic (Conley (1999); Pesaran, Schuermann, and Weiner (2004), policy, or social distance (Conley and Topa (2002)).”
Contagious development: Neighbor interactions in deforestation (2012, background): “Measuring such interactions is difficult (Bayer and Timmins, 2003; Brock and Durlauf, 2001; Conley and Topa, 2002; Glaeser and Scheinkman, 2001; Manski, 1993, and Moffitt, 2001).”
Do Neighborhoods Affect Hours Worked? Evidence from Longitudinal Data (2004, background): “Even our most conservative estimates may overstate the effect of neigh- 4 While few studies compare these effects, those that do tend to find that social influences have stronger effects than job access (O’Regan and Quigley 1996; Cutler and Glaeser 1997; and Conley and Topa 2002).”
Institutions and geography: Empirical test of spatial growth models for European regions (2009, background): “Conley and Topa (2002) employ social and economic distances re ecting the structure of agents social networks, as disparities in ethnic and occupational distributions, to examine the spatial patterns of unemployment.”
Job Referral Networks and the Determination of Earnings in Local Labor Markets (2014, methodology): “The discussion in this section closely follows Conley and Topa (2002) from which the method for this analysis was derived.”
Random Coefficient Models (2008, background): “A number of studies have also used measures such as trade or capital flows to capture economic distance, as in Lee and Pesaran (1993), Conley and Topa (2002) and Pesaran, Schuermann and Weiner (2004).”
General Diagnostic Tests for Cross Section Dependence in Panels (2020, unknown): “and using (10), (15), (16) it is easily seen that the denominator of (19) is equal to 1 + op(1) (as T and N → ∞).”
Social Networks and the Dynamics of Labour Market Outcomes: Evidence from Refugees Resettled in the U.S (2012, background): “The corresponding econometric specification is: Yijkt = α + Σ 4 p=1(γpNijk(t−p+1) + πpNijk(t−p+1) ∗ Post9/11) + Xijktβ + δjt + φk + ǫijkt (6) The hypothesis is that πp should be of the opposite sign of γp for all p. Table 8 shows the results of estimating equation 6 using two different functional fo”