Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania
By David Card, Alan B. Krueger. 2000
3,611 citations recorded by the source corpus.
Subfields: General Health Professions
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In General Health Professions
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Citations in the corpus
- From Deterministic ODEs to Dynamic Structural Causal Models (2016, methodology): “In this sense, we view our main re- sults as ‘orthogonal’ to methods such as Granger causality (Granger, 1969) and difference-in-differences (Card and Krueger, 1993) which aim to infer causal effects given time-series observations of a system.”
- Who Benefits from Labor Market Regulations?: Chile 1960-1998 (2003, positive): “Bazen and Skourias (1997), and Currie and Fallick (1996) find a negative relation between minimum wages and youth employment, while Katz and Krueger (1992), Card and Krueger (1994, 2000) and Card, Katz and Krueger (1993) find no evidence of such effect.”
- Why Does the Minimum Wage Have No Discernible Effect on Employment (2013, neutral): “6 Card and Krueger (1994), p. 792.”
- The causes of rising wage inequality: the race between institutions and technology (2016, background): “Likewise, raising the minimum wage depresses inequality by raising the wages at the bottom without reducing employment (Card and Krueger, 2000).”
- Minimum Wage Shocks, Employment Flows, and Labor Market Frictions (2012, methodology): “This approach, which generalizes Card and Krueger (2000), exploits minimum wage policy discontinuities at state borders by comparing outcomes from Minimum Wage Shocks, Employment Flows, and Labor Market Frictions 671 all US counties on either side of a state border.5 As shown in detail in Dube et…”
- High Unemployment Yet Few Small Firms: The Role of Centralized Bargaining in South Africa (2012, methodology): “Spatial discontinuity analysis in economics has largely followed Card and Krueger (1994) who use Eastern Pennsylvanians as a control group for New Jersey residents. Card and Krueger estimate the e¤ect of a change in minimum wage laws through a di¤erence in di¤erence under the assumption that Easte”
- Econometric Methods for Program Evaluation (2018, background): “Synthetic Controls Difference in differences estimators are often used to evaluate the effects of events or interventions that affect entire aggregate units, such as states, school districts, or countries (see, e.g., Card, 1990; Card and Krueger, 1994).”
- Difference-in-Differences with multiple time periods (2018, background): “Card and Krueger (1994), Dube et al. (2010), among many others. However, another strand of the literature argues that raising the minimum wage leads to lower employment – see e.g. Neumark and Wascher (1992, 2000, 2008), Neumark et al. (2014), and Jardim et al. (2017). We use data from 2001-2007, whe”
- Inference with Difference-in-Differences and Other Panel Data (2007, background): “The well-known Card and Krueger (1994) minimum-wage study is a case in point in which there is a large number of observations per group but only four groups (New Jersey before and after the law and eastern Pennsylvania before and after the law).”
- CEO Succession Mechanisms, Organizational Context, and Performance: A Socio‐Emotional Wealth Perspective on Family‐Controlled Firms (2014, methodology): “Born as a program evaluation method (e.g., Card and Krueger, 1993), DiD models have recently been extended to management research (e.g., Huang and Murray, 2009; Valentini, 2012; Wennberg et al., 2011).”
- The Minimum Wage, Restaurant Prices, and Labor Market Structure (2008, background): “Other prominent examples of studies that concentrate on the restaurant industry include Katz and Krueger (1992), Card and Krueger (1995, 2000) and Neumark and Wascher (2000). minimum wage labor, substitution possibilities, market structure, or demand for their products, other industries might face…”