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  <title>EconStor Community:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/338228" />
  <subtitle />
  <id>https://hdl.handle.net/10419/338228</id>
  <updated>2026-05-09T19:00:24Z</updated>
  <dc:date>2026-05-09T19:00:24Z</dc:date>
  <entry>
    <title>Intergenerational occupational persistence: Recent evidence from Indian states</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/338335" />
    <author>
      <name>Lahiri, Sweta</name>
    </author>
    <author>
      <name>Nandi, Tushar K.</name>
    </author>
    <id>https://hdl.handle.net/10419/338335</id>
    <updated>2026-03-21T02:05:46Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: Intergenerational occupational persistence: Recent evidence from Indian states
Authors: Lahiri, Sweta; Nandi, Tushar K.
Abstract: This article studies intergenerational occupational persistence using three recent rounds of a nationally representative sample survey from India. More than 60% of Indians are employed in the industry where their fathers are also employed. We find that individuals from Scheduled Tribes (ST) and Hindus have higher occupational persistence than those from the General Class (GEN) and Muslims, respectively. Persistence in general is higher in rural areas. We find considerable interstate and intrastate variations in the incidence across General Category States (GCSs) and Special Category States (SCSs). It has remained almost unchanged among GCSs on average, whereas it has decreased gradually for SCSs. Large inter-regional disparity exists within states between rural and urban areas and between capital and non-capital districts. Such disparity is found to be higher among GCSs. Bihar, Madhya Pradesh, Chhattisgarh and Jharkhand are the GCSs with large and increasing occupational persistence. Nagaland, Arunachal Pradesh, Meghalaya and Mizoram are the SCSs with persistence of above 70%. Using a probit estimation analysis, we find family background (father's education in rural area and ownership of productive assets) to have a significant and consistent influence on intergenerational persistence compared to own education. Results in general indicate that background factors play a stronger role than education does in the choice of occupation among Indians.</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Long-term growth-employment relationship in India</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/338332" />
    <author>
      <name>Mitra, Arup</name>
    </author>
    <id>https://hdl.handle.net/10419/338332</id>
    <updated>2026-03-21T02:05:46Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: Long-term growth-employment relationship in India
Authors: Mitra, Arup
Abstract: This article focuses on the growth-employment relationship and the determinants of labour force participation rate. In the time-series framework, employment is seen to have a greater impact on GDP rather than vice versa. This is quite consistent with the literature that employment contracts can be long term in nature, and they are usually not flexible in the short run. Hence, fluctuations in the commodity market do not affect employment immediately. The effect of employment on growth through the demand linkage is usually overlooked, which is brought out by this study, suggesting that demand deceleration caused by sluggish expansion in jobs can make economic growth unsustainable in the long run. From supply side of labour, poverty-induced participation in the job market is evident, and women are seen to be largely engaged in the agricultural sector. The effect of physical infrastructure on women's work participation is positive. Large household size and child to women ratio affect women's work participation adversely. On the whole, the positive effect of health and education and a strong impact of physical infrastructure on labour market participation of rural women are evident.</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A real bonds doctrine</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/338331" />
    <author>
      <name>Correa, Romar</name>
    </author>
    <id>https://hdl.handle.net/10419/338331</id>
    <updated>2026-03-21T02:05:47Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: A real bonds doctrine
Authors: Correa, Romar
Abstract: Two assumptions drive our policy construct. First, the task of implementing a Green New Deal will necessarily fall on the government. Second, artificial intelligence (AI) and robotics have meant a reduction in labour in the production process. The connection between the two is production by public firms, and the financial instrument is the government bond. The Real Bills doctrine meant the tracking of credit disbursed by commercial and central banks with the returns realized by borrowing firms. The horizon was finite. In the case of our bond, the issuer is the government, and the horizon is infinite. Balance sheet accounts with the central bank are maintained. We write down a model with no labour. Households lend to the government, which, in turn, lends to firms to purchase their capital inputs. Households earn returns from their holdings of the government bond. The central bank mediates the accounts.</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Inclusive growth in Maharashtra: A dual narrative</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/338333" />
    <author>
      <name>Suryanarayana, M. H.</name>
    </author>
    <id>https://hdl.handle.net/10419/338333</id>
    <updated>2026-03-21T02:05:47Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: Inclusive growth in Maharashtra: A dual narrative
Authors: Suryanarayana, M. H.
Abstract: This study seeks to show how disaggregate profiles of welfare dimension of 'inclusive growth' could provide useful public policy insights in formulating development strategies. The disaggregate profile is defined with respect to regions and social groups. The study proposes concepts and illustrates with empirical estimates of measures of inclusion/exclusion and mainstreaming/marginalization for the six National Sample Survey (NSS) regions, and four social groups in rural and urban Maharashtra. The information base is the NSS estimates of household per capita consumer expenditure distribution for the two periods 2004-2005 and 2011-2012, respectively. The findings on outcomes show that the development experience of Maharashtra does not hold much promise on the inclusive growth front.</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
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