Friederike Lenel

University of Goettingen (Göttingen)

Wilhelmsplatz 1

Göttingen, 37073

Germany

SCHOLARLY PAPERS

5

DOWNLOADS

67

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (5)

1.

Insurance and Solidarity: Evidence from a Lab-in-The-Field Experiment in Cambodia

IZA Discussion Paper No. 10986
Number of pages: 59 Posted: 18 Sep 2017
Friederike Lenel and Susan Steiner
University of Goettingen (Göttingen) and German Institute for Economic Research (DIW Berlin)
Downloads 44 (499,752)

Abstract:

Loading...

insurance, informal support, crowding-out, social preferences, Cambodia

2.

Repayment under Flexible Loan Contracts: Evidence from Tanzania

DIW Berlin Discussion Paper No. 1884
Number of pages: 49 Posted: 12 Aug 2020
Antonia Grohmann, Steffen Herbold and Friederike Lenel
Aarhus University, affiliation not provided to SSRN and University of Goettingen (Göttingen)
Downloads 20 (635,651)

Abstract:

Loading...

Fexible loans, loan contracts, repayment, microfinance

3.

Repayment under Flexible Loan Contracts: Evidence based on High Frequency Data

Number of pages: 49 Posted: 07 Sep 2021
Antonia Grohmann, Friederike Lenel and Steffen Herbold
Aarhus University, University of Goettingen (Göttingen) and affiliation not provided to SSRN
Downloads 2 (775,168)

Abstract:

Loading...

large assets, flexible repayment schemes, loan contracts, repayment patterns, high frequency data

4.

Expected Neediness and the Formation of Mutual Support Arrangements: Evidence from the Philippines

Number of pages: 64
Friederike Lenel
University of Goettingen (Göttingen)
Downloads 1

Abstract:

Loading...

5.

Using solar panels for business purposes: Evidence based on high-frequency power usage data

Number of pages: 29
affiliation not provided to SSRN, University of Goettingen (Göttingen), RWTH Aachen University, University of Goettingen (Göttingen) and University of Goettingen (Göttingen)
Downloads 0

Abstract:

Loading...

Rural electrification, Off-grid energy, High-frequency electricity usage data, Solar panels, Tanzania, Risk management, Credit default, Big Data, Supervised machine learning, Time-dependent proportional hazards model, XGBoost