It was a privilege to present my JMP on mining and agriculture at #NEUDC2025 last weekend. I appreciate all the comments and feedback! Detailed summary thread can be found below.
14.11.2025 16:16 β π 0 π 0 π¬ 0 π 0@hosamibrahim.bsky.social
PhD candidate in Applied Economics UMN | Ag & Development, labor & education policy | Impact evaluation | Job market 2025. My website: hosamibrahim.com
It was a privilege to present my JMP on mining and agriculture at #NEUDC2025 last weekend. I appreciate all the comments and feedback! Detailed summary thread can be found below.
14.11.2025 16:16 β π 0 π 0 π¬ 0 π 0Website: hosamibrahim.com
#EconSky #EconJobMarket #DevEcon #AgEcon #Mining #Agriculture
π§© Mechanism
Evidence points to labor-market competition, not pollution as the short- to medium-run primary mechanism.
Contrast with Ghana (AragΓ³n & Rud) likely reflects timing & measurement. [13/13]
Output falls as inputs fall. Conditional on labor & land (CobbβDouglas), no systematic decline in yields or output β TFP stable in short run. Soil/rooting indices show no early deterioration (sometimes mild improvements consistent with fallowing).
[12/13]
β±οΈ Dynamics across countries
Near-mine farms (0β15 km) show persistent family-labor declines from t+2 onward; hired labor flat; total labor mirrors family labor. Effects attenuate with distance; pre-trends small & jointly insignificant.
[11/13]
Within 15 km: family labor β12.5 days (~16%, p<0.01); hired labor ~0 β total labor β11.4 days (p<0.01). Planted area falls, but yields/TFP donβt once conditioning on inputs. [10/13]
14.11.2025 16:11 β π 0 π 0 π¬ 1 π 0π Exposure & ID
Treatment at the enumeration area level defined using distance bins (0β15, 15β30, 30β45 km) between an EA and a mine.
Never-exposed EAs (located more than 45 km away from any mine) are untreated; country-year FEs; EA SE clustering. [9/13]
Design 1) Tanzania (2011β2013): 2x2 TWFE DiD around a 2012 gold-mine opening (panel plots)
Design 2) ETH/TZA/UGA (2009β2022): staggered event study using repeated cross-sections of plots in the 3 countries
Data: LSMS-ISA (plots) + MinEx [8/13]
To disentangle pollution and input competition, I estimate ATET of being close to a mine on:
βΆ Farm labor days and productivity.
βΆ Planted area, harvest, and yield.
βΆ Soil and plant rooting conditions (suggestive evidence).
..at different periods of exposure time. [7/13]
Below is an example of the VMPL for three hypothetical farms located at three different distance bins from a mine:
(a) before a mine opens,
(b) right after a mine opens, and
(c) 3-4 years after a mine opens. [6/13]
I ask the question: Are early agricultural changes driven by workers leaving farms or by pollution harming soils and plants?
I argue both mechanisms run on different clocks: labor shocks are immediate; pollution accumulates slowly. [5/13]
Another example in Tanzania's Geita region (a major gold mining region), showing changes in NDVI in the Bukombe-Mbogwe Forest Reserve:
(a) 1984, (b) 2002, (c) 2020 (Pancrace et al., 2022) [4/13]
An example of deforestation and loss of vegetation in Tanzania's Singida region (known for gold mining):
Gold mining started in 2004 in Singida, see Lameck et al., 2025 [3/13]
Mines (red) increasingly overlap with agriculture (green). Example below from Tanzania using LSMS-ISA and MinEx data. [2/13]
14.11.2025 16:11 β π 0 π 0 π¬ 1 π 0π¨ #JMP Alert π¨
I am on the #EconJobMarket!
In my JMP I study how new mines affect nearby farms through labor-market reallocation vs. environmental degradation using farm microdata and two complementary designs. [1/13]
Link: hosamibrahim.com/job-market-p...