The Impact of Decentralized Data Entry on the Quality of Household Survey Data in Developing Countries: Evidence from a Randomized Experiment in Vietnam

2008 ◽  
Vol 22 (1) ◽  
pp. 165-185 ◽  
Author(s):  
Paul Glewwe ◽  
Hai-Anh Hoang Dang
Keyword(s):  
Developing Countries ◽  
Survey Data ◽  
Data Entry ◽  
Household Survey ◽  
Randomized Experiment ◽  
Household Survey Data ◽  
The Impact

scholarly journals Does the inverse farm size productivity hypothesis hold for perennial monocrop systems in developing countries? Evidence from Kenya

2021 ◽  
Vol 16 (3) ◽  
pp. 237-252
Author(s):  
Josiah Ateka ◽  
◽  
Perez Ayieko Onono-Okelo ◽  
Martin Etyang ◽  
◽  
...  
Keyword(s):  
Developing Countries ◽  
Survey Data ◽  
Agricultural Policy ◽  
Cropping Systems ◽  
Household Survey ◽  
Farm Size ◽  
Mixed Cropping ◽  
Western Kenya ◽  
Household Survey Data ◽  
Robust Measures

The inverse farm size and productivity relationship (IR) is a recurring theme in the literature. However, most previous studies were undertaken within a setting of mixed cropping systems. In this article, we investigate the effect of farm size on productivity within the context of a perennial monocropping system, acute competition for farmland, frequent subdivision of farms and declining yields. We apply household survey data of smallholder tea farms in western Kenya and consider both technical efficiency (TE) and the yield per hectare as indicators of productivity. The findings show that the effect of farm size on productivity is nonlinear, with TE initially declining and then rising with farm size. The findings also demonstrate that the farm size and productivity relationship is important for perennial monocrops and that the use of robust measures of productivity is important for the IR. The findings have important implications for agricultural policy in developing countries.

scholarly journals Analyzing Fresh Vegetable Consumption From Household Survey Data

1990 ◽  
Vol 22 (2) ◽  
pp. 31-38 ◽  
Author(s):  
Anderson Reynolds
Keyword(s):  
Survey Data ◽  
Vegetable Consumption ◽  
Household Survey ◽  
Tobit Model ◽  
Household Composition ◽  
Ratio Test ◽  
Fresh Vegetable ◽  
Household Survey Data ◽  
Double Hurdle ◽  
The Impact

Abstract To analyze fresh vegetable consumption using household survey data, the tobit model and a more flexible parameterization to the tobit model—the “double hurdle” model—were considered. Based on the likelihood ratio test, the tobit model was rejected against the “double hurdle” specification. Moreover, the results suggest that the tobit model underestimated the impact of the explanatory variables on fresh vegetable expenditures. Other results indicate that total food expenditures (proxy for income), age, household composition, sex, race, marital status, urbanization, region, and seasonality are all important determinants of fresh vegetable expenditures.

Using Fast Frequency Household Survey Data to Estimate the Impact of Demonetisation on Employment

2018 ◽  
Vol 10 (3) ◽  
pp. 159-183 ◽  
Author(s):  
Mahesh Vyas
Keyword(s):  
Survey Data ◽  
Household Survey ◽  
Indian Economy ◽  
Substantial Loss ◽  
Labour Participation ◽  
Household Survey Data ◽  
The Impact

Centre for Monitoring Indian Economy Pvt. Ltd conducts a large longitudinal household survey, Consumer Pyramids Household Survey (CPHS). Since January 2016 it has been producing fast-frequency measures of unemployment by using the CPHS. This article attempts to understand the impact of demonetisation announced on 8 November 2016, if any, on employment by using the results from CPHS. We use data on two waves preceding demonetisation and two waves after demonetisation, that is, seven quarters—3 before and 4 after demonetisation—and also monthly and weekly data to understand the impact of demonetisation. The evidence indicates a substantial loss of jobs and labour participation after demonetisation. JEL: J640, J08, J210

Queens of the Desert: Convictism and Marital Attitudes across Australia

2020 ◽  
Vol 110 ◽  
pp. 457-462
Author(s):  
Victoria Baranov ◽  
Ralph De Haas ◽  
Pauline Grosjean
Keyword(s):  
Nineteenth Century ◽  
Social Norms ◽  
Spatial Variation ◽  
Survey Data ◽  
Household Survey ◽  
Same Sex ◽  
Same Sex Marriage ◽  
Founder Populations ◽  
Household Survey Data ◽  
Combined Data

We merge data on spatial variation in the presence of convicts across eighteenth and nineteenth century Australia with results from the country's 2017 poll on same-sex marriage and with household survey data. These combined data allow us to identify the lasting impact of convict colonization on social norms about marriage. We find that in areas with higher historical convict concentrations, more Australians recently voted in favor of same-sex marriage and hold liberal views about marriage more generally. Our results highlight how founder populations can have lasting effects on locally held social norms.

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