Keuangan spasialTempat modal bertemu bahaya, keterpaparan, dan transisi
Econometrics for public finance and sovereign debt
Econometrics estimates relationships from fiscal and macroeconomic data and tests whether they hold. On this platform it supports estimates of revenue volatility, fiscal reaction functions, efficiency gaps and the effects of shocks on public debt.
Econometrics applies statistical methods to economic data to estimate relationships, test theories and forecast. It provides empirical evidence on how shocks and policies affect economic outcomes. In sovereign and public finance, development finance and disaster and crisis, econometric evidence estimates how disasters, pandemics and financial shocks affect output, employment and prices. It informs the economic case forpengurangan risiko. The canonical description is onSTEM Commons.
Fiscal reaction functions
Estimates of how governments adjust primary balances in response to debt levels inform judgements about fiscal space and credibility.
Revenue volatility
Commodity and tax revenue series are modelled to estimate volatility and its relationship with prices and output, informing buffer sizing.
Disaster effects on public finance
Panel data on past disasters estimate average effects on revenue, spending and debt, with heterogeneity across countries reported.
03Pantau
Model ekonometrik.
Layar yang akan digunakan sebuah tim untuk mengikuti metode ini: ukuran, status, dan keputusannya. Nama adalah contoh dan nilai bersifat ilustratif.
Model ekonometrik
Public finance and sovereign debt · Econometrics for public finance · Run R-5003
Estimasi stabilGRA · Public Finance and Sovereign Debt
Estimasi
galat standar yang tangguh
Utang publik
0.03
0.19
[−0.4, 0.2]
Ya
Kebutuhan pembiayaan bruto
0.29
0.12
[−0.2, 0.4]
Ya
Bunga terhadap pendapatan
0.20
0.13
[0.0, 0.5]
Tidak
Share of FX debt
0.33
0.05
[0.1, 0.9]
Ya
Kartu metode
Metode
Ekonometrika
Sampel
1642 obs
Desain
panel, efek tetap
Label
DIMODELKAN
Residu per kelompok
Econometric model: the screen’s structure, terms and states for Public finance and sovereign debt.Nama contoh dan nilai ilustratif; sebuah rancangan, bukan catatan atau sistem yang aktif.
04Data
Apa yang digunakan metode ini.
Datasets and records used by econometrics on this platform, with the role each plays and the label its values carry. Sources are listed inregister sumber.
Data
Peran
Label
Fiscal time series
Estimation
Statistik yang diterbitkan
Commodity price series
Revenue drivers
TERAMATI
Disaster databases
Event data
DILAPORKAN
05Model skenario
Jalur utang negara dan peluang melampaui ambang.
Distribusi jalur utang, dan porsi di atas ambang kekhawatiran pada cakrawala, yang dibaca investor negara dan analis peringkat dari grafik kipas. Model pengajaran dengan nilai ilustratif yang dinyatakan, bukan prediksi.
Median, pita 25% sampai 75% dan 10% sampai 90%
Tanpa guncangan
Kendali
Utang saat ini
70% PDB
Suku bunga nominal efektif
5.0%
Pertumbuhan PDB nominal
4.5%
Keseimbangan primer
−0,5% PDB
Volatilitas pertumbuhan
2.0 poin
Volatilitas suku bunga
1.0 poin
Tahun ke depan
10 tahun
Ambang kekhawatiran
90% PDB
Pembacaan
Utang median pada cakrawala
79% PDB
Jalur di atas ambang pada cakrawala
3%
Keseimbangan primer yang menstabilkan utang
0,3% PDB
Angka, metode, dan sumber
Tahun
10%
25%
Median
75%
90%
0
70.0
70.0
70.0
70.0
70.0
1
68.8
69.7
70.9
72.0
73.1
2
68.6
70.1
71.5
73.1
74.6
3
68.9
70.7
72.5
74.3
76.1
4
69.2
71.3
73.3
75.5
77.5
5
69.4
71.8
74.5
76.7
79.2
6
69.9
72.7
75.3
77.7
80.8
7
70.6
73.1
76.2
79.0
81.9
8
71.2
74.0
77.1
80.2
83.3
9
71.9
74.8
77.8
81.2
84.4
10
72.0
75.2
78.7
82.0
85.7
Metode
Dinamika utang dan selisih bunga-pertumbuhanBlanchard (2019), Public debt and low interest rates, American Economic Review 109
Grafik kipas stokastikCelasun, Debrun and Ostry (2006), IMF Staff Papers 53
Kerangka risiko negara dan keberlanjutan utangIMF (2022), Staff Guidance Note on the SRDSF
Data
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.
Lintasan utang negara dan peluang melampaui suatu ambang batas. Model pengajaran ilustratif: model ini berjalan pada nilai yang ditetapkan oleh kontrol, bukan pada data terukur. Metode: dinamika utang dan selisih suku bunga-pertumbuhan (Blanchard (2019), Public debt and low interest rates, American Economic Review 109); bagan kipas stokastik (Celasun, Debrun dan Ostry (2006), IMF Staff Papers 53); kerangka risiko kedaulatan dan keberlanjutan utang (IMF (2022), Staff Guidance Note on the SRDSF).
Di seluruh enam pilar, dipimpin oleh Nexus Consortium
Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.
Pemeriksaan
Cara pelaksanaannya
Ketangguhan
Results are checked across specifications and samples
Endogeneity
Methods to address reverse causality are stated
Out-of-sample
Models are tested on periods not used in estimation
Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.
07Eksposur, kerugian, dan modal
What it means for exposure, loss and capital.
Tampilan eksposur, kerugian, skenario, dan modal yang akan diminta oleh pejabat risiko, otoritas pengawas, atau kementerian keuangan, beserta kerangka pelaporan yang mereka gunakan. Strukturnya mengikuti praktik pengawasan dan aktuaria. Nilai bersifat ilustratif: tidak pernah merupakan harga, peringkat, atau saran.
Indikator modal, solvabilitas, dan fiskal
The indicators a risk officer, supervisor or ministry of finance reads first on econometrics for public finance and sovereign debt.
Indikator
Unit
Siapa yang membaca
Kerangka
Utang publik
% PDB
Kementerian keuangan, IMF
Kerangka Keberlanjutan Utang
Kebutuhan pembiayaan bruto
% PDB per tahun
Kementerian keuangan, investor
Kerangka Keberlanjutan Utang
Kewajiban kontinjensi
% PDB, menurut sumber
Kementerian keuangan
Pernyataan risiko fiskal
Bunga terhadap pendapatan
% pendapatan
Kementerian keuangan, pengguna peringkat
Statistik keuangan publik
Selisih imbal hasil negara
basis poin di atas acuan
Investor, pengelola utang
Data pasar
Rasio CET1
% aset tertimbang menurut risiko
Bank, otoritas pengawas
Kerangka Basel
Rasio kecukupan likuiditas
% arus keluar dalam tekanan
Bank, bank sentral
Kerangka Basel
Source: the frameworks named in each row. Indicator names, units and frameworks only; values belong to each institution’s own reporting and are never shown here.
Skenario iklim NGFS · Network for Greening the Financial SystemIFRS S2 Pengungkapan terkait Iklim · ISSBRekomendasi TCFD · Financial Stability Board TCFDPrinsip-prinsip pengelolaan efektif risiko keuangan terkait iklim · Basel Committee on Banking Supervision
What are the limits of econometrics in this field?
Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.
Bagaimana hasil diperiksa?
Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.
Apakah nilai di halaman ini nyata?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Laporanis the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
Global Risks AllianceKeuangan Publik dan Utang NegaraKesiapan Pembiayaan dan AsuransiRisiko dan Ketahanan Sistem Negara
Jangan pernah mengirim data pribadi, rincian infrastruktur sensitif, atau apa pun yang tidak berhak Anda bagikan. Kontribusi ditinjau sebelum digunakan. Mengirimkannya tidak memberikan hak kepenulisan atau editorial, dan sponsor tidak pernah membeli sebuah temuan.
Keuangan Publik dan Utang Negara
Ajukan pertanyaan eksposur atau modal kepada Aliansi.
Informasi dan pertanyaan sudah terbuka hari ini. Sebuah pertanyaan menerima nomor referensi dan menyebutkan langkah berikutnya; lamaran, pembayaran, alokasi komputasi, dan pendaftaran hanya dibuka ketika tim, ketentuan, dan kapasitas tinjauannya tersedia.
Peta, data, dan gambar di situs ini ditampilkan untuk konteks dan informasi umum. Semua itu bukan nasihat, prakiraan, atau peringatan; batasan informasinya dijelaskan dalam Penafian dan Pemberitahuan Data.
Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.
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