A Review and Comparison of Shift-Share Identities

Loveridge, Scott; Selting, Anne C.

doi:10.1177/016001769802100102

Cited by 84 publications

(60 citation statements)

References 49 publications

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“…The earliest treated cohorts are still relatively young in 2013, so we are unable to effectively examine very long-term degree completion until more data become available. (Loveridge and Selting, 1998). The measure was calculated at the county level using four-digit NAICs data by Dorfman et al (2011) and aggregated to the state level.…”

Section: Outcome Variablesmentioning

confidence: 99%

Is shale development drilling holes in the human capital pipeline?

2017

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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 Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I EIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. Using the Synthetic Control Method (SCM) and a novel method for measuring changes in educational attainment we examine the link between educational attainment and shale oil and gas extraction for the states of Montana, North Dakota, and West Virginia. The three states examined are economically-small, relatively more rural, and have high levels of shale oil and gas reserves. They also are varied in that West Virginia is intensive in shale gas extraction, while the other two are intensive in shale oil extraction. We find significant reductions in high school and college attainment among all three states' initial residents because of the shale booms.JEL Classification: Q4, R1, R2

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Section: Outcome Variablesmentioning

confidence: 99%

Is shale development drilling holes in the human capital pipeline?

2017

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“…, which implies that the common/average shock is the region's industry mix growth rate term from shift-share analysis (Loveridge and Selting, 1998). Changes in international trade and domestic demand shifts are transmitted to regions based on their industry compositions (Markusen et al 1991).…”

Section: Theorymentioning

confidence: 99%

“…The industry mix variable comes from the long-standing shift-share model (Loveridge and Selting, 1998) that has been around since at least 1960. It has been used extensively as an exogenous shift measure for local employment shocks in empirical studies of local labor markets (e.g., Bartik, 1991;Blanchard and Katz, 1992;Bound and Holzer, 2000;Moretti, 2010).…”

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confidence: 99%

International trade and local labor markets: Do foreign and domestic shocks affect regions differently?

et al. 2016

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Despite the attention given to international trade in discussion of the economic struggles of many U.S. regions, it is unclear whether international trade shocks impact local economies more, or differently than shocks originating within the domestic economy. A challenge in making this discernment is separating trade shocks from common or domestic shocks. Therefore, using U.S. county-level data for 1990-2010, this study carefully constructs shocks to local economies, isolating those arising from international imports and exports to assess whether trade shocks have different effects from domestic shocks. In confirmatory analysis, we also employ a novel combination of IV and matching strategies. We examine a variety of indicators including employment growth, population growth, employment rates, wage rates and poverty rates. The results suggest that international trade shocks have some different effects than overall domestic shocks, though likely less than commonly perceived. We also find that domestic shocks dominate international trade shocks in explaining variation in regional labor market outcomes.

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“…He also points out how, in some cases, local minima are blamed for problems which are in fact the result of other causes. 6 For a review of SSA identities, see Loveridge andSelting (1998), andDinc et al (1998). 7 Data on the commuting flows were kindly provided by Gunther Haag (STASA, Stuttgart, Germany), and refer to the year 2002.…”

Section: Notesmentioning

confidence: 99%

New Neural Network Methods for Forecasting Regional Employment: An Analysis of German Labour Markets

et al. 2006

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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. Most TI discussion papers can be downloaded at http://www.tinbergen.nl. Terms of use: Documents in Paper submitted to Spatial Economic Analysis NEW NEURAL NETWORK METHODS FOR FORECASTING REGIONAL EMPLOYMENT: AN ANALYSIS OF GERMAN LABOUR MARKETS ABSTRACTIn this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in several fields, because of their effectiveness in handling complex data sets when the functional relationship between dependent and independent variables is not explicitly specified. The present paper compares two NN methodologies. First, it uses NNs to forecast regional employment in both the former West and East Germany. Each model implemented computes single estimates of employment growth rates for each German district, with a 2-year forecasting range. Next, additional forecasts are computed, by combining the NN methodology with Shift-Share Analysis (SSA). Since SSA aims to identify variations observed among the labour districts, its results are used as further explanatory variables in the NN models. The data set used in our experiments consists of a panel of 439 German districts. Because of differences in the size and time horizons of the data, the forecasts for West and East Germany are computed separately. The out-of-sample forecasting ability of the models is evaluated by means of several appropriate statistical indicators.

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A Review and Comparison of Shift-Share Identities

Cited by 84 publications

References 49 publications

Is shale development drilling holes in the human capital pipeline?

Is shale development drilling holes in the human capital pipeline?

International trade and local labor markets: Do foreign and domestic shocks affect regions differently?

New Neural Network Methods for Forecasting Regional Employment: An Analysis of German Labour Markets

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