ड: जेफरी डिकिन्सन

बेनि सोमोन्दै

आंनि खामानिया जौगाफुनाय हादरफोराव रांखान्थियारि जौगानाय, आबाद, आथोन आरो सुनायनि गेजेराव दं। आं गेदेर थाखोनि नखरारि नायगिदिंनाय आरो जिअ'स्पाटियेल खारिखौ बाहायो जाहाथे नखरफोर, फामुफोर आरो हाथायफोरा माबोरै खामानि मावो, जर'खायै बै सेटिंफोराव जेराव खारिथि आंखाल एबा बुथुमनो गोब्राब जायो। आं जिनेभानि ग्रेजुवेट इनस्टिटिउटआव PhD आरजिनो हादों आरो IFPRI, IMF आरो बुहुमनां बेंकनि सार्भे डाटाजों खामानि मावबाय।

आं Dollar Scholarsगायसनदोंमोन, मोनसे फसंथान जाय बैसोगोरा सुबुंफोरनो फोरमाननि सायाव बिथा खालामनानै राङारि सोलोंथाय होयो, जायफोरा माब्लाबाबो बेनि खाबुखौ मोनाखैमोन। आं बेनि वेबसाइट आरो गोबां रावारि क्विजखौबो बानायदोंमोन।

रांखान्थिनि सिगां, आं 2004 आरो 2011 नि गेजेराव सियोलनिफ्राय मन्जासिम काउंटर-स्ट्राइक आरो वारक्राफ्ट III टुर्नामेन्टखौ लिंहरनानै सासे जिउराहायारि ईस्पोर्ट्स कमेन्टेटर महरै स्नि बोसोर हगारदोंमोन। आं दासिमबो काउंटर-स्ट्राइक 2 आरो अभारवाच 2 गेलेयो, आरो एवरक्वेस्टआव बार्ड महरै रेड खालामो।

बिजिरसंनाय

हाबा मावनाय लेखा बिलाइ

Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?

मोनद' हादोरफोराव, आबादारि नखरफोरा रानस्राव आरो सरासनस्रा नङै गिसि समनि समाव नख'रारि मावदांसाफोरनि सायाव गोबां सोनारो। आइजोफोरनि दैदेन्नाय नखरफोरा गोबां हेंथा गोनां।
सुंद' फोरमायथि

This is the first study to separately identify labor demand responses to both unanticipated droughts and periods of above normal rainfall for three forms of agricultural labor that are central to agricultural production: family, hired, and mutual exchange labor. I use a simple parcel‑level model with three labor types and monitoring costs to study how family labor is reallocated across parcels during drought. In six countries I find small but statistically significant decreases in the share of hired labor during droughts and during periods of above-normal rainfall, indicating a strong reliance on family labor during shocks. I find that farm households appear to lean heavily on exchange labor by using exchange labor more frequently during periods of above-normal rainfall. Due to the heavy reliance on family labor, household size and the gender of the household head are important moderating factors. Women-headed households appear to be significantly more constrained in how they apply labor on family farms. My findings underscore that these labor types are distinct in how they respond to temporary weather shocks. The results of my analysis have important implications for policies targeted at stimulating agricultural labor markets.
- आबाद मावनाय
- मावदांसा
- बोथोरनि सोमावग्लुंनाय
- आथोन
खामानिआ सोलिगासिनो दं

Assessing land area from above: evidence from Armenia

Sydney Gourlay (बुहुमनां बेंक)

मोनसे नखरारि जरिबनि सिङाव मोनसे यादृच्छिक आन्जाद: सेटेलाइट इमेजरीआव फोथारफोरखौ ट्रेस खालामनाया GPS जों सुनायनि रुजुनायाव 42% खम सम लादोंमोन आरो गावनो रिपर्ट खालामनाय अनुमानफोराव फोसाबदोंमोन, थेवब्लाबो बेयो GPS निख्रुइ खमसिन गेबेंमोन।
सुंद' फोरमायथि

Using primary data collected by the World Bank in Armenia as part of a randomized controlled trial, we evaluate the use of a satellite image tracing to measure agricultural land in the context of a household survey. Satellite tracing offers several benefits, including a large reduction in the cost of measuring land, the potential to measure more parcels of land, and improved security for survey enumerators. We find the satellite tracing approach yields consistent results, and requires 42% less time than measuring with GPS, and provides value-added over self-reported estimates. Due to the potential cost savings, and other non-trivial benefits, we suggest that land measurement via satellite image tracing offers significant value, though is not as accurate as land area estimates conducted with a handheld GPS.
- जरिब खालामनाय आदब
- सेटेलाइट सावगारि
- RCT

आबुं CV नाय।