Questions tagged [applied-econometrics]
Use this tag to discuss empirical papers and issues arising when applying theoretical models to data.
0
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2answers
67 views
Why hasn't the huge increase in supply provided by Airbnb decreased prices?
Simple supply and demand economics would suggest that the huge increase in the supply of rooms to rent by Airbnb should have reduced the price of rental significantly in those cities where Airbnb is ...
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0answers
8 views
Engel’s Coefficient Data
Does anyone know of any good data sources where we can find Engel’s Coefficients by nation?
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0answers
24 views
Econometrics: Is it feasible to use the “effect of the treatment” estimations from a diff-in-diff as dependent variable?
Basically I have many treated units and I would like to estimate (by applying the Diff-in-Diff methodology) the effect of the treatment.
In my particular case it's very likely to observe certain ...
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0answers
26 views
Vector Autoregressions
Suppose running a VAR system featuring the central bank interest rate, inflation and GDP.
Start by estimating each equation by OLS. How should you interpret the OLS residuals to these equations?
My ...
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0answers
12 views
Mankiw, Romer & Weil: Estimating Implied Alpha & Beta
I am replicating Mankiw, Romer & Weil (1992) with data from 1995 through 2015, and I wondering how they estimated the implied alpha and beta.
Thank you,
For those curious, the paper can be found....
3
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1answer
650 views
What is a good proxy for government quality?
Is it ok to use corruption as a proxy for government quality?
-1
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1answer
41 views
When using OLS is it always necessary to drop the weak and insignificant variable? [closed]
Some of my variable shows weak collinear relationship on my dependent variable.. how should I address this?
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0answers
21 views
VAR model OLS line by line
I am estimating a VAR model line by line.
Lets say the conditional variances are correlated.
We would expect size distortion. So we would use another method, perhaps a HAC standard error to account ...
0
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0answers
27 views
How should I rebase my GDP?
I have a constant GDP data from 1988 to 2009 in constant 1985 prices and GDP data from 2009 to 2017 in constant 2000 prices. My question is how should I rebase my GDP?
Upon searching the web, i don'...
3
votes
1answer
60 views
Synthetic Control Method
I need to study Synthetic Control Method for my term paper. So can anyone suggest some book/literature from where I can study Synthetic Control Method on my own?.
0
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2answers
45 views
What is the tolerable level for multicollinearity? and possible remedial measures for it?
My data has issues of multicollinearity. Upon estimating, I found out that my data have high levels of VIF In however I was confused as to what level of VIF can I possibly ignore the issue of ...
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0answers
8 views
Transformation of cutpoints in Ordinal Probit/Logit regression
The likelihood for an ordinal probit/logit regression model is given as -
$f(y|\beta ,\gamma ,z ) = \prod_{1}^{n} \left [ \Phi (\gamma _{j} - x_{i}'\beta ) - \Phi (\gamma _{j-1} - x_{i}'\beta ) \...
1
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1answer
35 views
How do I fill gaps in my data?
In my study, I have 5 independent variables which contains 21 observation each. However one of my independent variables have 3 gaps. What should I do?
e,g
I would need to know the effect of ...
2
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0answers
28 views
How to control for population in Difference-in-Difference?
Random example, but let's say I'm examining the effect of a health program on influenza cases in India. They just randomly start the program in 7 of the 29 states. I have data on the number of flu ...
0
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0answers
21 views
Error Correction Model with two independent (control) variables [duplicate]
Is it possible to build an Error Correction Model with two independent ( control) variables? I mean with one dependent variable, and two independent variables.
If yes, what are the assumptions/...
0
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0answers
23 views
Error Correction Model with more than one independent variables
I was wondering if it is possible to set up an Error Correction Model with two independent variables (one dep var, and two indep vars)?
If yes, what are assumptions/conditions to be met?
In the ...
2
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0answers
41 views
Difference-in-differences with long time horizon and repeated treatments
I have a high-frequency panel dataset on the order of $i=150$ and $t=5000$. I am interested in studying the causal impact of a treatment with the following characteristics:
The same unit can be ...
1
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0answers
16 views
primary impact on real estate prices/taxes
Are my housing prices/taxes more influenced by the $40M beach house a few miles away from my home or those in the lower-class well beyond my county line?
Assuming a few basics:
there are differing ...
1
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1answer
31 views
Exchange rate volatility
Colleagues,
I have started an analysis on spatial econometrics models, and looking for data to compute an exchange rate volatility. My variables to construct the weight matrices are all bilateral ...
1
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0answers
15 views
To the following data, what kind of econometric analysis can be conducted/ or what type of relationship can be established? [closed]
I have data for sale in petroleum products across different states in India of both public sector and private sector companies for past 10 years.
No. of years - 2008 to 2018 monthly data for 10 years
...
1
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0answers
13 views
How do I measure effects over years in panel data with individuals?
I'm working with a longitudinal panel dataset that surveys the same few thousand individuals biennially and I have six years of this data. My dependent variable would be how much individuals spend on ...
1
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0answers
167 views
Coming up with a Research Topic for Undergraduate Paper
I am currently a senior in economics, and I have been pondering ideas for doing a research paper. Sometimes I go about thinking theory and trying to find applications I could apply it to empirically, ...
2
votes
1answer
42 views
Minimum sample size for cross-sectional RDD
I haven't done a regression discontinuity design (RDD) before. I know it requires a large sample size for identification, thus I fear that my sample size is not large enough.
The study is cross-...
0
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1answer
40 views
Help with undergrad econometric project
I am working on undergrad research in econometrics and am seeking some advice/help in terms of finding data sets and picking variables. I have an idea chosen for my topic, but I need to make a ...
0
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1answer
67 views
What is an unconditional model for a time series variable?
If I am being asked to do an unconditional analysis of a time series variable, lets say GDP starting in 2000, what model am I supposed to estimate?
2
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0answers
37 views
Any examples of non-parallelism making Diff-in-Diff estimation biased?
The key assumption in a Differences in Differences design is that both the control and the treatment group have parallel tendencies, that is, they'd follow similar paths over time if there was no ...
1
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1answer
57 views
What are the identification problems in measuring peer effects?
I am currently writing my bachelor thesis on peer effects. However, the more I read about the identification problems (I read e.g. Manski, Moffitt, Angrist, Goldsmith et al.), the less I understand. I ...
1
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0answers
16 views
Empirical implementation of Milbourne et al's 2003 model of growth for time series data
I'm interested in testing the relationship of public investment in human capital and infrastructure, and the rate of growth of the GDP for Colombia, during a 20 years period. Given that I'm only an ...
1
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0answers
25 views
How are rotation matrices used in structural VAR identification through sign restrictions?
I saw this identification method is used in several working papers but to me it is impossible to understand how it works by simply reading them.
I have searched many books and lecture notes in order ...
-1
votes
1answer
41 views
Is health care equal in the emergancy room? [closed]
How does financial status dictate the level of care differ? Where can you find the best healthcare income to medical service rendered?
I understand that health care differs depending on a ...
1
vote
0answers
131 views
Difference between multinomial logit and conditional logit
I'm trying to decide whether to run a multinomial logit or a conditonal logit (McFadden, 1973). I have data from a choice-based conjoint study in which each of the respondent's choices was between a ...
1
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0answers
20 views
Discrete choice model without outside option?
In most empirical studies of discrete choice, the presence of an outside good is assumed.
Can you give an example of a (well published) empirical paper, where there is no outside good and thus ...
1
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0answers
40 views
Panel econometrics for marketing mix analysis: how to include spending that affects all the individuals of a panel?
Dear stack exchangers,
in the course of an internship at a microfinance bank in Tajikistan, I have been tasked with assessing the efficiency of different marketing expenses.
I will try to expose the ...
5
votes
2answers
128 views
Research at the county-level: Macro or Micro?
Is research at the county-level considered applied micro or applied micro?
The standard undergrad definitions ("micro" = "individual", "macro" = "nation") are of no help with units of measurement ...
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1answer
91 views
Why can't we control for squares and quadratics of predicted values in regression?
If my goal were prediction (e.g. of propensity scores), why couldn't I control for higher order terms of the model equation? For example, why not estimate the model and then control for squares and ...
6
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1answer
59 views
What type of graph can be hepful to explain the type of errors that should be used?
I have a regression of wage on several variables, such as education, marriage and so on. I want to explain that it would be a better idea to use cluster errors, since we expect the wage to be ...
4
votes
1answer
62 views
Controlling for interaction effects
In a recent paper, Edelman et al. examine (amongst other things) how discrimination on AirBnB varies with the characteristics of hosts. First, they conduct a field experiment which involves sending a ...
1
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1answer
34 views
Do I need to log transform these two kinds of variables?
Before regression (like fixed-effects, random-effects), for these two kinds of variables:
1) Price levels (e.g. price level of capital formation)
They are usually ratios like 0.987, 1.022..., based ...
1
vote
1answer
57 views
Estimating production functions with time series data
A while back I asked How do we estimate production functions?
The answers given address cases when dealing with cross-sectional data, However most of the data I've been seeing is given by a time ...
0
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2answers
84 views
How to estimate loss of customers due to customer support inefficiency?
I have a data about customers and their activity on a website for a two-year period. Also, I have a customer support work evaluation data for a shorter period of that two-year period. The question is:
...
4
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1answer
77 views
Insignificant Interaction effect in applied econometrics (multinomial logit regression)
I'm currently writing my master's thesis where I'm applying a multinomial logit regression with interactions effect.
The model I'm using is
$$
P(y=j) = exp(xb_j)/(1+∑exp(xb_h))
$$
where
$$
xb_j =...
2
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0answers
51 views
Static and Dynamic models: Testing the Quantity Theory of Money
The quantity theory of money is stated as a simple equation which states that the general price level of goods and services is directly proportional to the amount of money in circulation. This is ...
3
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1answer
57 views
Aggregate production function, factor shares and cointegration
When estimating an aggregate production function you fit your data to a selected functional form of the production function, derive the parameters and inference from there.
My question is, is there ...
1
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0answers
90 views
Dynamic factor model for inflation (UIG)
I'm trying to replicate some results of Fed Underlying Inflation Gauge (UIG) model, which is a dynamic factor model to capture inflation trend. https://www.newyorkfed.org/research/policy/underlying-...
2
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2answers
127 views
Macroeconometrics:How to measure capital depreciation?
In an econometric sense, how do macroeconomists measure capital depreciation $\delta$ in the formula $K_{t+1}=K_t(1-\delta)+I_{t+1}$.
What data would I need and what kind of regression would I run?
0
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1answer
110 views
Variance of $\hat{\beta _0}$ in case of homoskedasticity
Stock and Watson express the variance of $\hat{\beta _0}$ like
$\hat{\sigma }^2_\hat{\beta _0}=\frac{E({X_{i}}^{2})}{n\sigma _{X}^{2}}\sigma ^{2}$, but starting from variance of $\hat{\beta _1}=\frac{...
1
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1answer
63 views
Why $v_i=(X_i-\mu _X)u_i$ is i.i.d?
I don't understand. Ok, we have $\beta_1-\hat{\beta }_1=\frac{\frac{1}{n}\sum_{i=1}^{n}v_i}{(\frac{n-1}{n}){s_{X}}^{2}}$. So, for the first OLS assumption results that $E(v_i)=E((X_i-\bar{X})u_i\...
0
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1answer
50 views
Difference between $x$ and $X$
Sorry for my bad english, i'll try to explain my difficulty.
1° Question
In the last exam an exercise asked to derivate OLS estimators and calculate their value with the data provided (ex.: $\sum ...
0
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1answer
81 views
testing the relationship between stock price and macroeconomic variables
I'm in the midst of preparing data to test the relationship between stock index and macroeconomic variables. The variables include m1, cpi, ipi, interest rate, exchange rate. I have some question ...
2
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0answers
27 views
modelling Inconsistent production functions
last year I asked How do we estimate production functions?. That answer provided was insightful from an econometric perspective and has helped me in applying such an understanding to the workplace.
...
